Document Aetheria lore grounding architecture
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docs/architecture/aetheria-lore-grounding-architecture.md
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docs/architecture/aetheria-lore-grounding-architecture.md
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# Aetheria Lore Grounding Architecture
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Ghostlight needs two different Aetheria modes:
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- grounded historical training
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- procedural Elysium generation
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Do not blur them. That is how a useful mystery becomes accidental canon with a
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badge and a clipboard.
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## Core Boundary
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Planned Aetheria gameplay takes place in Elysium. What happens there is
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intentionally not fully fixed in the lore vault because discovering and shaping
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that history is part of the games themselves.
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The Aetheria timeline begins when humanity is transplanted into Elysium. It can
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restart when humanity destroys itself again through negligence, greed,
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institutional capture, civilizational momentum, and the familiar psychological
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trash fire wearing a crown.
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That means Elysium-era gameplay scenes are not the best first source for
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grounded Ghostlight training data. They are downstream procedural territory.
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For grounded training data, Ghostlight should start from the authored historical
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archive: late Sol, Pre-Elysium institutions, factional flashpoints, personhood
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conflicts, labor regimes, political collapse, and the FTL trigger.
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## Revised Architecture
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Grounded historical training flow:
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```text
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Aetheria authored historical lore
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-> lore grounding digest
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-> historical scene fixture
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-> agent-state fixture
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-> speaker-local input slice
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-> projection artifact
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-> prompt_text
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-> generated dialogue or drama
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-> reviewed training example
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```
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Procedural Elysium flow:
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```text
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grounded pre-Elysium priors
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-> procedural Elysium branch state
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-> Ghostlight agents and institutions
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-> projected dialogue and drama
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-> simulated branch history
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-> optional promoted canon after review
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```
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The first flow teaches the projector what grounded social pressure looks like.
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The second flow uses that learned machinery to generate Elysium outcomes
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without pretending those outcomes were already settled lore.
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## Source Priority
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For projection training, prefer sources in this order:
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1. Authored historical lore with explicit institutional, social, and political
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context.
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2. Grounded transition material around the FTL trigger and displacement.
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3. Historical fiction or scene fragments that remain canon-compatible.
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4. Elysium-era procedural fixtures marked as provisional branch material.
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Call of the Void and Cat/Oz can remain useful for testing projection mechanics,
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speaker-local boundaries, and prompt shape. They should not be treated as the
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primary grounded training corpus unless the relevant Elysium branch facts are
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intentionally authored or promoted.
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## Historical Flashpoint Candidates
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Good first fixtures should come from parts of Aetheria that are already
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pressure-dense and source-grounded:
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- contract citizenship and debt regimes
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- labor-system enforcement and infrastructure dependency
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- upload abuse and contested personhood
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- uplift or nonhuman personhood conflicts
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- algorithmic governance and predictive policing
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- corporate blocs turning infrastructure into leverage
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- the FTL program as a political escape hatch from Sol's failure
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- the moment around the FTL trigger, where institutions and people discover
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that escape did not mean absolution
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The best scenes are small, local, and socially loaded:
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- a worker negotiating dangerous contract terms
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- an upload arguing over continuity, ownership, or service denial
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- a technician asked to sign off on an unsafe FTL dependency
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- a debtor deciding whether help is relief or capture
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- an institutional agent performing compassion while enforcing a machine
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- a family, crew, or workplace discovering that political collapse has become
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intimate
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## Lore Grounding Digests
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Before producing training projection examples from a historical flashpoint,
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create a lore grounding digest.
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A digest should include:
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- source files and relevant line or section notes
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- time period
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- location or institution
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- involved factions, classes, and roles
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- material constraints
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- local norms, taboos, and scripts
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- vocabulary or speech-register cues
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- what each speaker plausibly knows
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- what each speaker misreads
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- author-only context that must not enter prompt text
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- open questions needing lore elaboration
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The digest is not a replacement for the lore vault. It is a compiled working
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slice for one fixture, so projection examples can cite grounded pressure
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without dragging the whole archive into every prompt.
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## Fixture Types
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Use explicit fixture status:
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- `historical_grounded`
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- `transition_grounded`
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- `procedural_branch`
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- `promoted_branch`
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`historical_grounded` and `transition_grounded` examples can become primary
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training data.
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`procedural_branch` examples are useful for testing and generation but should
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not train the projector as if they were fixed lore.
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`promoted_branch` examples are procedural outputs that have been reviewed and
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accepted into canon or into a specific authored continuity.
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## Projection Rules
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Grounded projection examples should prove:
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- the prompt text is self-sufficient for the dialogue model
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- setting and institutional context are speaker-local
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- historical pressure appears as lived constraint, not exposition paste
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- the speaker does not know author-only future outcomes
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- the generated behavior follows from state, culture, memory, relationship, and
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material pressure
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If the lore source is too vague for a convincing scene, stop and elaborate the
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lore slice first. Do not train the model to pave over missing social reality
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with confident fog.
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## Immediate Plan
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1. Keep the Cat/Oz fixture as an Elysium procedural mechanics fixture.
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2. Add a lore grounding digest format.
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3. Choose one authored historical flashpoint from the Aetheria archive.
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4. Build the first `historical_grounded` agent-state fixture from that slice.
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5. Produce reviewed projection examples from that fixture.
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6. Compare those examples against Cat/Oz to separate grounded historical
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pressure from procedural Elysium branch generation.
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Ground the machine in the past. Let it hallucinate the future under supervision.
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@ -33,6 +33,25 @@ Output:
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The student projector should not generate final dialogue. Its job is to build
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the pressure model that a dialogue model can write from.
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## Aetheria Training Boundary
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For Aetheria, grounded projection training should come primarily from authored
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historical lore rather than from Elysium gameplay-era scenes.
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Elysium gameplay content is intentionally malleable: the games discover and
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generate what happens there. Projection examples set inside Elysium should be
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marked as procedural branch material unless their branch facts have been
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explicitly promoted.
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Use `docs/architecture/aetheria-lore-grounding-architecture.md` for the
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grounding plan. In short:
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- train from historical flashpoints with strong lore grounding
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- use Elysium fixtures like Cat/Oz to test projection mechanics and procedural
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branch generation
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- do not let a training dataset accidentally canonize Elysium outcomes that are
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supposed to be generated by the systems
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## Roles
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### Teacher Projector
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@ -122,9 +141,13 @@ world state. The projection dataset is supervised behavior for a projector.
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useful boundary.
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8. Periodically run a small evaluation set before adding more examples.
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The first loop should use the Call of the Void fixture because it already has
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Cat, Oz, reciprocal relationship stance, perceived overlays, hidden stakes, and
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speaker-local dialogue packs.
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The Cat/Oz Call of the Void fixture remains useful as the first projection
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mechanics fixture because it already has reciprocal relationship stance,
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perceived overlays, hidden stakes, and speaker-local dialogue packs. It should
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not be treated as the first grounded Aetheria lore-training fixture.
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The first grounded training loop should use a historical Aetheria flashpoint
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from the authored lore archive.
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## Evaluation Gates
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@ -179,11 +202,14 @@ Minimum useful milestone:
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1. Define `schemas/projection-example.schema.json`. Done.
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2. Add `examples/projections/call-of-the-void.scene-broken-taxi-oz.jsonl` with
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the first reviewed Cat and Oz examples. Done.
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3. Add a deterministic projection input-slice tool that reads the agent-state
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3. Add a lore grounding digest format for historical Aetheria projection
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fixtures.
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4. Choose the first authored historical flashpoint for grounded training.
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5. Add a deterministic projection input-slice tool that reads the agent-state
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fixture and emits speaker-local input JSON.
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4. Add a teacher prompt template for producing projection artifacts.
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5. Add an evaluator prompt template for projection audits.
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6. Only then consider student fine-tuning.
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6. Add a teacher prompt template for producing projection artifacts.
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7. Add an evaluator prompt template for projection audits.
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8. Only then consider student fine-tuning.
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## Boundaries
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@ -40,6 +40,8 @@ Ghostlight now has the persistence spine plus the first architecture payload:
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- `docs/architecture/projection-distillation-plan.md`
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- evaluation follow-up docs:
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- `docs/architecture/schema-future-mechanisms.md`
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- Aetheria lore grounding docs:
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- `docs/architecture/aetheria-lore-grounding-architecture.md`
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- first projection example seam:
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- `schemas/projection-example.schema.json`
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- `examples/projections/call-of-the-void.scene-broken-taxi-oz.jsonl`
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@ -66,8 +68,13 @@ state unless explicitly revived.
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## Current Next Action
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Build the deterministic projection input-slice tool that reads the Call of the
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Void fixture and emits speaker-local input JSON for one scene/speaker pair.
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Define the lore grounding digest format for historical Aetheria projection
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fixtures, then use it to choose the first authored historical flashpoint for
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grounded training.
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Cat/Oz remains useful as an Elysium procedural mechanics fixture, but grounded
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training data should start from authored historical lore rather than gameplay
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era Elysium outcomes.
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The evaluation follow-up fixed the immediate v0 schema issues:
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@ -85,6 +92,8 @@ Completed projection path items:
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Remaining projection path:
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- add a lore grounding digest format for historical Aetheria fixtures
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- choose the first authored historical flashpoint for grounded training
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- build a deterministic speaker-local input slicer
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- use a frontier teacher model to generate/audit projection artifacts
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- train a smaller student projector only after the artifact schema, input
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@ -49,6 +49,9 @@ state and re-entry discipline.
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- parking lot for appraisal, transition, belief, action, conversation,
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resource, dyad, institution, memory, and embodiment mechanisms not yet
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promoted into the v0 schema
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- `docs/architecture/aetheria-lore-grounding-architecture.md`
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- boundary and plan for grounding training data in authored Aetheria history
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while treating Elysium gameplay-era outcomes as procedural branch space
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- `schemas/agent-state.schema.json`
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- v0 canonical agent-state contract for agents, relationships, events,
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scenes, perceived overlays, and dialogue context packs
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@ -78,6 +81,7 @@ state and re-entry discipline.
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- a classifier pipeline
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- a prompt renderer
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- a full projection training corpus
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- a lore grounding digest format
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- a deterministic projection input slicer
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- a student projection model
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- a simulation/event loop
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@ -85,6 +89,7 @@ state and re-entry discipline.
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- a culture prior engine
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The canonical agent-state schema and first projection example schema now exist
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as v0 seams. The next implementation target is the deterministic input slicer
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that emits speaker-local state before a renderer turns that state into compact
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pressure prose.
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as v0 seams. The next implementation target is a lore grounding digest format
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for historical Aetheria training fixtures, followed by the deterministic input
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slicer that emits speaker-local state before a renderer turns that state into
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compact pressure prose.
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@ -36,11 +36,16 @@
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4. Build the projection distillation loop. Started.
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- Use `docs/architecture/projection-distillation-plan.md` as the teacher to
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student roadmap.
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- Use `docs/architecture/aetheria-lore-grounding-architecture.md` to keep
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Aetheria grounded training separate from procedural Elysium branch
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generation.
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- Maintain `schemas/projection-example.schema.json`,
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`examples/projections/`, and `tools/validate_projection_examples.py` as
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the first reviewed artifact seam.
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- Use authored historical Aetheria flashpoints, not malleable Elysium
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gameplay outcomes, as the first grounded lore-training corpus.
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- Use a frontier teacher model to produce reviewed projection artifacts from
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structured state.
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structured state and lore grounding digests.
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- Save accepted and rejected projection examples as supervised data.
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- Train or adapt a smaller student projector only after the artifact schema,
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input slicer, and evaluator are stable.
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@ -56,6 +61,9 @@
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6. Build the first Aetheria authoring consumer.
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- use the Call of the Void slice described in `AetheriaLore` as the first
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concrete content-generation context
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- treat Call of the Void and other Elysium gameplay-era fixtures as
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procedural branch material unless specific outcomes are explicitly
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promoted
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- support dialogue scaffolding and procedural drama for narrated stories
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across the Aetheria timeline
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- do not treat an older corridor-crisis game slice as the implementation
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@ -22,3 +22,4 @@
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{"ts": "2026-05-01T19:57:04+00:00", "type": "design", "status": "accepted", "note": "Evaluation follow-up accepted immediate schema fixes: split interpersonal_warmth from verbal_warmth, add Cat perception of Oz, populate Cat/Oz relationship summaries, enrich event-drone-lie with observed exchange, private interpretations, and event effects, and park broader social-simulation mechanisms in docs/architecture/schema-future-mechanisms.md."}
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{"ts": "2026-05-01T20:02:29+00:00", "type": "implementation", "status": "accepted", "note": "Added ghostlight.projection_example.v0 schema, first reviewed Cat/Oz projection JSONL examples for scene-broken-taxi-oz, projection example validator, and package scripts that validate both agent-state and projection seams. Next projection implementation step is deterministic speaker-local input slicing."}
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{"ts": "2026-05-01T20:19:04+00:00", "type": "design", "status": "accepted", "note": "Projection prompt_text must be self-sufficient for the dialogue model: include speaker-local setting, historical, cultural, socioeconomic, and embodiment context needed for the turn rather than relying on source refs or the full projection artifact."}
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{"ts": "2026-05-01T20:31:43+00:00", "type": "design", "status": "accepted", "note": "Revised Aetheria projection-training architecture: grounded training data should start from authored historical lore flashpoints, while Elysium gameplay-era scenes such as Cat/Oz are procedural branch material unless explicitly promoted. Next step is a lore grounding digest format and first historical flashpoint selection."}
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@ -26,6 +26,7 @@ constraints:
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- Reuse proven machinery where it fits before inventing ornate nonsense.
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- Do not treat an older corridor-crisis game slice as the active Ghostlight implementation target.
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- Do not use the obsolete Call of the Void colony-fleet return-home twist; current Aetheria canon sequesters the whole Solar system into Elysium.
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- Do not treat malleable Elysium gameplay-era outcomes as fixed lore for grounded training data unless a branch outcome is explicitly promoted.
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invariants:
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- The map is canonical and slow-changing.
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@ -36,6 +37,7 @@ invariants:
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- Personality must be modeled as layered organization, presentation, and situational activation, not just one bag of labels.
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- Authoring outputs must remain explainable in terms of state, relationship, pressure, memory, and goals.
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- Dialogue generation should be character-local: each prompt should restrict context to what the speaking character knows, feels, wants, remembers, hides, and perceives.
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- Aetheria grounded training data should come from authored historical lore; procedural Elysium scenes are branch material until reviewed or promoted.
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data_flow:
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observe:
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@ -61,6 +63,7 @@ active_subgoals:
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- Define how culture shapes priors, incentives, masks, and economic behavior without turning populations into clones.
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- Define the boundary between canonical signal, perceived signal, and prompt projection.
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- Support content generation for the Call of the Void slice in AetheriaLore and dialogue scaffolding or procedural drama for narrated Aetheria timeline stories.
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- Ground projection training in authored Aetheria historical flashpoints before using Ghostlight to generate Elysium branch history.
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accepted_design:
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- Ghostlight owns the deeper agent-state, personality, culture, relationship, and prompt-projection architecture; other projects can remain consumers instead of shrines.
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- Events can carry lightweight observed exchange, private interpretation, and event-effect scaffolding so prompt projection can reason from appraisal and consequence without pretending the v0 schema is already a full transition engine.
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- Future social-simulation mechanisms should be documented and tested through projection artifacts before promotion into the canonical schema.
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- Projection examples use `ghostlight.projection_example.v0` JSONL records with traceable known facts, active pressures, tensions, response affordances, voice surface, rendered prompt text, and audit checks.
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- Aetheria projection training has two modes: historical grounded fixtures from authored lore, and procedural Elysium branch fixtures that test generation without canonizing gameplay-era outcomes.
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current_status:
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summary: Ghostlight now has the Epiphany-style persistence spine, the first architecture payload, the v0 canonical agent-state schema seam, prompt projection docs, immediate schema fixes from evaluation, first reviewed Cat/Oz projection examples, and a documented teacher/student distillation path for projection.
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next_action: Build the deterministic projection input-slice tool that reads the Call of the Void fixture and emits speaker-local input JSON for one scene/speaker pair.
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summary: Ghostlight now has the Epiphany-style persistence spine, the first architecture payload, the v0 canonical agent-state schema seam, prompt projection docs, immediate schema fixes from evaluation, first reviewed Cat/Oz projection examples, a revised Aetheria lore-grounding architecture, and a documented teacher/student distillation path for projection.
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next_action: Define the lore grounding digest format for historical Aetheria projection fixtures, then choose the first authored historical flashpoint for grounded training.
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