Document Aetheria lore grounding architecture

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# Aetheria Lore Grounding Architecture
Ghostlight needs two different Aetheria modes:
- grounded historical training
- procedural Elysium generation
Do not blur them. That is how a useful mystery becomes accidental canon with a
badge and a clipboard.
## Core Boundary
Planned Aetheria gameplay takes place in Elysium. What happens there is
intentionally not fully fixed in the lore vault because discovering and shaping
that history is part of the games themselves.
The Aetheria timeline begins when humanity is transplanted into Elysium. It can
restart when humanity destroys itself again through negligence, greed,
institutional capture, civilizational momentum, and the familiar psychological
trash fire wearing a crown.
That means Elysium-era gameplay scenes are not the best first source for
grounded Ghostlight training data. They are downstream procedural territory.
For grounded training data, Ghostlight should start from the authored historical
archive: late Sol, Pre-Elysium institutions, factional flashpoints, personhood
conflicts, labor regimes, political collapse, and the FTL trigger.
## Revised Architecture
Grounded historical training flow:
```text
Aetheria authored historical lore
-> lore grounding digest
-> historical scene fixture
-> agent-state fixture
-> speaker-local input slice
-> projection artifact
-> prompt_text
-> generated dialogue or drama
-> reviewed training example
```
Procedural Elysium flow:
```text
grounded pre-Elysium priors
-> procedural Elysium branch state
-> Ghostlight agents and institutions
-> projected dialogue and drama
-> simulated branch history
-> optional promoted canon after review
```
The first flow teaches the projector what grounded social pressure looks like.
The second flow uses that learned machinery to generate Elysium outcomes
without pretending those outcomes were already settled lore.
## Source Priority
For projection training, prefer sources in this order:
1. Authored historical lore with explicit institutional, social, and political
context.
2. Grounded transition material around the FTL trigger and displacement.
3. Historical fiction or scene fragments that remain canon-compatible.
4. Elysium-era procedural fixtures marked as provisional branch material.
Call of the Void and Cat/Oz can remain useful for testing projection mechanics,
speaker-local boundaries, and prompt shape. They should not be treated as the
primary grounded training corpus unless the relevant Elysium branch facts are
intentionally authored or promoted.
## Historical Flashpoint Candidates
Good first fixtures should come from parts of Aetheria that are already
pressure-dense and source-grounded:
- contract citizenship and debt regimes
- labor-system enforcement and infrastructure dependency
- upload abuse and contested personhood
- uplift or nonhuman personhood conflicts
- algorithmic governance and predictive policing
- corporate blocs turning infrastructure into leverage
- the FTL program as a political escape hatch from Sol's failure
- the moment around the FTL trigger, where institutions and people discover
that escape did not mean absolution
The best scenes are small, local, and socially loaded:
- a worker negotiating dangerous contract terms
- an upload arguing over continuity, ownership, or service denial
- a technician asked to sign off on an unsafe FTL dependency
- a debtor deciding whether help is relief or capture
- an institutional agent performing compassion while enforcing a machine
- a family, crew, or workplace discovering that political collapse has become
intimate
## Lore Grounding Digests
Before producing training projection examples from a historical flashpoint,
create a lore grounding digest.
A digest should include:
- source files and relevant line or section notes
- time period
- location or institution
- involved factions, classes, and roles
- material constraints
- local norms, taboos, and scripts
- vocabulary or speech-register cues
- what each speaker plausibly knows
- what each speaker misreads
- author-only context that must not enter prompt text
- open questions needing lore elaboration
The digest is not a replacement for the lore vault. It is a compiled working
slice for one fixture, so projection examples can cite grounded pressure
without dragging the whole archive into every prompt.
## Fixture Types
Use explicit fixture status:
- `historical_grounded`
- `transition_grounded`
- `procedural_branch`
- `promoted_branch`
`historical_grounded` and `transition_grounded` examples can become primary
training data.
`procedural_branch` examples are useful for testing and generation but should
not train the projector as if they were fixed lore.
`promoted_branch` examples are procedural outputs that have been reviewed and
accepted into canon or into a specific authored continuity.
## Projection Rules
Grounded projection examples should prove:
- the prompt text is self-sufficient for the dialogue model
- setting and institutional context are speaker-local
- historical pressure appears as lived constraint, not exposition paste
- the speaker does not know author-only future outcomes
- the generated behavior follows from state, culture, memory, relationship, and
material pressure
If the lore source is too vague for a convincing scene, stop and elaborate the
lore slice first. Do not train the model to pave over missing social reality
with confident fog.
## Immediate Plan
1. Keep the Cat/Oz fixture as an Elysium procedural mechanics fixture.
2. Add a lore grounding digest format.
3. Choose one authored historical flashpoint from the Aetheria archive.
4. Build the first `historical_grounded` agent-state fixture from that slice.
5. Produce reviewed projection examples from that fixture.
6. Compare those examples against Cat/Oz to separate grounded historical
pressure from procedural Elysium branch generation.
Ground the machine in the past. Let it hallucinate the future under supervision.

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@ -33,6 +33,25 @@ Output:
The student projector should not generate final dialogue. Its job is to build
the pressure model that a dialogue model can write from.
## Aetheria Training Boundary
For Aetheria, grounded projection training should come primarily from authored
historical lore rather than from Elysium gameplay-era scenes.
Elysium gameplay content is intentionally malleable: the games discover and
generate what happens there. Projection examples set inside Elysium should be
marked as procedural branch material unless their branch facts have been
explicitly promoted.
Use `docs/architecture/aetheria-lore-grounding-architecture.md` for the
grounding plan. In short:
- train from historical flashpoints with strong lore grounding
- use Elysium fixtures like Cat/Oz to test projection mechanics and procedural
branch generation
- do not let a training dataset accidentally canonize Elysium outcomes that are
supposed to be generated by the systems
## Roles
### Teacher Projector
@ -122,9 +141,13 @@ world state. The projection dataset is supervised behavior for a projector.
useful boundary.
8. Periodically run a small evaluation set before adding more examples.
The first loop should use the Call of the Void fixture because it already has
Cat, Oz, reciprocal relationship stance, perceived overlays, hidden stakes, and
speaker-local dialogue packs.
The Cat/Oz Call of the Void fixture remains useful as the first projection
mechanics fixture because it already has reciprocal relationship stance,
perceived overlays, hidden stakes, and speaker-local dialogue packs. It should
not be treated as the first grounded Aetheria lore-training fixture.
The first grounded training loop should use a historical Aetheria flashpoint
from the authored lore archive.
## Evaluation Gates
@ -179,11 +202,14 @@ Minimum useful milestone:
1. Define `schemas/projection-example.schema.json`. Done.
2. Add `examples/projections/call-of-the-void.scene-broken-taxi-oz.jsonl` with
the first reviewed Cat and Oz examples. Done.
3. Add a deterministic projection input-slice tool that reads the agent-state
3. Add a lore grounding digest format for historical Aetheria projection
fixtures.
4. Choose the first authored historical flashpoint for grounded training.
5. Add a deterministic projection input-slice tool that reads the agent-state
fixture and emits speaker-local input JSON.
4. Add a teacher prompt template for producing projection artifacts.
5. Add an evaluator prompt template for projection audits.
6. Only then consider student fine-tuning.
6. Add a teacher prompt template for producing projection artifacts.
7. Add an evaluator prompt template for projection audits.
8. Only then consider student fine-tuning.
## Boundaries

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@ -40,6 +40,8 @@ Ghostlight now has the persistence spine plus the first architecture payload:
- `docs/architecture/projection-distillation-plan.md`
- evaluation follow-up docs:
- `docs/architecture/schema-future-mechanisms.md`
- Aetheria lore grounding docs:
- `docs/architecture/aetheria-lore-grounding-architecture.md`
- first projection example seam:
- `schemas/projection-example.schema.json`
- `examples/projections/call-of-the-void.scene-broken-taxi-oz.jsonl`
@ -66,8 +68,13 @@ state unless explicitly revived.
## Current 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.
Define the lore grounding digest format for historical Aetheria projection
fixtures, then use it to choose the first authored historical flashpoint for
grounded training.
Cat/Oz remains useful as an Elysium procedural mechanics fixture, but grounded
training data should start from authored historical lore rather than gameplay
era Elysium outcomes.
The evaluation follow-up fixed the immediate v0 schema issues:
@ -85,6 +92,8 @@ Completed projection path items:
Remaining projection path:
- add a lore grounding digest format for historical Aetheria fixtures
- choose the first authored historical flashpoint for grounded training
- build a deterministic speaker-local input slicer
- use a frontier teacher model to generate/audit projection artifacts
- train a smaller student projector only after the artifact schema, input

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@ -49,6 +49,9 @@ state and re-entry discipline.
- parking lot for appraisal, transition, belief, action, conversation,
resource, dyad, institution, memory, and embodiment mechanisms not yet
promoted into the v0 schema
- `docs/architecture/aetheria-lore-grounding-architecture.md`
- boundary and plan for grounding training data in authored Aetheria history
while treating Elysium gameplay-era outcomes as procedural branch space
- `schemas/agent-state.schema.json`
- v0 canonical agent-state contract for agents, relationships, events,
scenes, perceived overlays, and dialogue context packs
@ -78,6 +81,7 @@ state and re-entry discipline.
- a classifier pipeline
- a prompt renderer
- a full projection training corpus
- a lore grounding digest format
- a deterministic projection input slicer
- a student projection model
- a simulation/event loop
@ -85,6 +89,7 @@ state and re-entry discipline.
- a culture prior engine
The canonical agent-state schema and first projection example schema now exist
as v0 seams. The next implementation target is the deterministic input slicer
that emits speaker-local state before a renderer turns that state into compact
pressure prose.
as v0 seams. The next implementation target is a lore grounding digest format
for historical Aetheria training fixtures, followed by the deterministic input
slicer that emits speaker-local state before a renderer turns that state into
compact pressure prose.

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@ -36,11 +36,16 @@
4. Build the projection distillation loop. Started.
- Use `docs/architecture/projection-distillation-plan.md` as the teacher to
student roadmap.
- Use `docs/architecture/aetheria-lore-grounding-architecture.md` to keep
Aetheria grounded training separate from procedural Elysium branch
generation.
- Maintain `schemas/projection-example.schema.json`,
`examples/projections/`, and `tools/validate_projection_examples.py` as
the first reviewed artifact seam.
- Use authored historical Aetheria flashpoints, not malleable Elysium
gameplay outcomes, as the first grounded lore-training corpus.
- Use a frontier teacher model to produce reviewed projection artifacts from
structured state.
structured state and lore grounding digests.
- Save accepted and rejected projection examples as supervised data.
- Train or adapt a smaller student projector only after the artifact schema,
input slicer, and evaluator are stable.
@ -56,6 +61,9 @@
6. Build the first Aetheria authoring consumer.
- use the Call of the Void slice described in `AetheriaLore` as the first
concrete content-generation context
- treat Call of the Void and other Elysium gameplay-era fixtures as
procedural branch material unless specific outcomes are explicitly
promoted
- support dialogue scaffolding and procedural drama for narrated stories
across the Aetheria timeline
- do not treat an older corridor-crisis game slice as the implementation

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@ -22,3 +22,4 @@
{"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."}
{"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."}
{"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."}
{"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:
- Reuse proven machinery where it fits before inventing ornate nonsense.
- Do not treat an older corridor-crisis game slice as the active Ghostlight implementation target.
- Do not use the obsolete Call of the Void colony-fleet return-home twist; current Aetheria canon sequesters the whole Solar system into Elysium.
- Do not treat malleable Elysium gameplay-era outcomes as fixed lore for grounded training data unless a branch outcome is explicitly promoted.
invariants:
- The map is canonical and slow-changing.
@ -36,6 +37,7 @@ invariants:
- Personality must be modeled as layered organization, presentation, and situational activation, not just one bag of labels.
- Authoring outputs must remain explainable in terms of state, relationship, pressure, memory, and goals.
- Dialogue generation should be character-local: each prompt should restrict context to what the speaking character knows, feels, wants, remembers, hides, and perceives.
- Aetheria grounded training data should come from authored historical lore; procedural Elysium scenes are branch material until reviewed or promoted.
data_flow:
observe:
@ -61,6 +63,7 @@ active_subgoals:
- Define how culture shapes priors, incentives, masks, and economic behavior without turning populations into clones.
- Define the boundary between canonical signal, perceived signal, and prompt projection.
- Support content generation for the Call of the Void slice in AetheriaLore and dialogue scaffolding or procedural drama for narrated Aetheria timeline stories.
- Ground projection training in authored Aetheria historical flashpoints before using Ghostlight to generate Elysium branch history.
accepted_design:
- Ghostlight owns the deeper agent-state, personality, culture, relationship, and prompt-projection architecture; other projects can remain consumers instead of shrines.
@ -87,7 +90,8 @@ accepted_design:
- 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.
- Future social-simulation mechanisms should be documented and tested through projection artifacts before promotion into the canonical schema.
- 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.
- 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.
current_status:
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.
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.
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.
next_action: Define the lore grounding digest format for historical Aetheria projection fixtures, then choose the first authored historical flashpoint for grounded training.