{ "version": "0.1", "status": "candidate_locked_for_adapter_migration", "project_id": "PROJ-LUMINAUTAS-v1", "episode_id": "S01E01", "standard_version": "SITUATIONAL_AWARENESS_STORY_STANDARD_v0_1", "cast": ["CHAR-LUMI-v1", "CHAR-TIKO-v1"], "hard_rules": [ "Tiko owns the decisive first-change observation in the habitat-system recovery beat.", "Lumi owns emotional framing, system orientation and next-step leadership, not every answer.", "No character may use a factual claim without an explicit knowledge-access path.", "The habitat challenge is a labeled simulation; no real wildlife emergency is implied.", "Environment state changes must have declared causes and visible downstream consequences.", "Hypotheses remain hypotheses until evidence or a controlled result updates their status." ], "decision_beats": [ { "decision_beat_id": "DB-S01E01-TIKO-CLASSIFICATION", "scene_id": "SCENE-CLASSIFICATION", "character_id": "CHAR-TIKO-v1", "situation_baseline": "Tiko associates living in water with being a fish.", "observed_change": "The three-category prediction challenge makes his assumption explicit.", "observation_channel": "sight", "observed_signal_ids": ["SIG-S01E01-CLASSIFICATION-CARDS"], "character_belief_before": "An axolotl is probably a fish because it lives in water.", "active_hypotheses": ["fish", "amphibian"], "known_unknowns": ["which biological category fits real axolotls"], "constraints": ["age-appropriate classification only"], "chosen_action": "Tiko predicts fish.", "expected_result": "The reveal will test the prediction.", "observed_result": "The evidence-backed reveal identifies axolotls as amphibians.", "belief_update": "Living in water alone does not make an animal a fish; real axolotls are amphibians.", "environment_state_delta": "classification board changes from prediction to verified reveal", "confidence_after": "high", "confidence_reason": "the reveal is backed by the episode EvidencePack", "next_information_need": "what adaptations help an axolotl live in water" }, { "decision_beat_id": "DB-S01E01-TIKO-REGENERATION", "scene_id": "SCENE-REGENERATION", "character_id": "CHAR-TIKO-v1", "situation_baseline": "Tiko generalizes regeneration as if any damaged object could regrow.", "observed_change": "The living-body explanation and prediction challenge contradict the object-regrowth model.", "observation_channel": "social", "observed_signal_ids": ["SIG-S01E01-REGENERATION-MODEL"], "character_belief_before": "Regeneration means damaged things generally grow back.", "active_hypotheses": ["all damaged things regenerate", "regeneration is a biological process in living tissue"], "known_unknowns": ["what tissues real axolotls can regenerate", "how regeneration works mechanistically"], "constraints": ["no graphic injury", "use simplified age-fit model"], "chosen_action": "Compare the backpack/spoon examples with a living-tissue example.", "expected_result": "The contrast should separate biology from fantasy/object repair.", "observed_result": "Only the living-tissue option fits the evidence-backed simplified model.", "belief_update": "Regeneration is biological, not magic and not a property of ordinary objects.", "environment_state_delta": "clarity visualization changes from joke examples to simplified biological model", "confidence_after": "high", "confidence_reason": "the model is explicitly labeled simplified and evidence-linked", "next_information_need": "why habitat still matters if an animal has unusual regenerative ability" }, { "decision_beat_id": "DB-S01E01-TIKO-HABITAT-FIRST-CHANGE", "scene_id": "SCENE-HABITAT-SIM", "character_id": "CHAR-TIKO-v1", "situation_baseline": "The simulation is stable before the challenge begins.", "observed_change": "The water-quality node dims before plants/oxygen and animal nodes fade.", "observation_channel": "system_state", "observed_signal_ids": ["SIG-S01E01-WATER-FIRST"], "character_belief_before": "The animal node itself is the problem and should be fixed directly.", "active_hypotheses": ["animal node failure is the root cause", "water-quality change is the upstream cause"], "known_unknowns": ["whether restoring the water variable will recover downstream nodes"], "constraints": ["training simulation only", "no real animal interaction"], "chosen_action": "Tiko identifies the first-change marker and the team corrects the water-quality simulation variable.", "expected_result": "If water is upstream, downstream nodes should recover in sequence.", "observed_result": "Plants/oxygen and animal nodes recover after the water variable is corrected.", "belief_update": "The animal node was downstream; the first changed system variable was the better intervention target.", "environment_state_delta": "unstable habitat network returns to stable state", "confidence_after": "high", "confidence_reason": "the predicted causal recovery sequence occurs", "next_information_need": "how this systems principle transfers outside the habitat simulation" }, { "decision_beat_id": "DB-S01E01-LUMI-PAUSE-ORIENT", "scene_id": "SCENE-HABITAT-SIM", "character_id": "CHAR-LUMI-v1", "situation_baseline": "Repeated direct intervention on the animal node has failed.", "observed_change": "The attempted fix does not improve the system and additional nodes continue fading.", "observation_channel": "system_state", "observed_signal_ids": ["SIG-S01E01-DIRECT-FIX-FAILED", "SIG-S01E01-NODES-FADING"], "character_belief_before": "The team can probably solve the challenge by acting quickly on the visible symptom.", "active_hypotheses": ["visible symptom is root cause", "an earlier upstream change is driving the symptom"], "known_unknowns": ["which node changed first"], "constraints": ["avoid fake urgency", "pause is allowed by simulation"], "chosen_action": "Freeze the puzzle timer and switch to analysis mode: what changed first, then what depends on it.", "expected_result": "A first-change comparison should expose a better causal hypothesis.", "observed_result": "Tiko spots the water-first marker and the team can test the upstream hypothesis.", "belief_update": "Fast action without orientation was less useful than pausing to inspect sequence and dependency.", "environment_state_delta": "simulation time pressure is paused while state history remains visible", "confidence_after": "medium", "confidence_reason": "the pause improves information quality but the causal hypothesis still requires a test", "next_information_need": "whether correcting water produces predicted downstream recovery" } ], "environment_states": [ { "situation_id": "SIT-S01E01-HABITAT-SIM", "version": "v0.1", "scene_id": "SCENE-HABITAT-SIM", "environment_id": "ENV-XOCHIMILCO-TRAINING-SIM", "environment_version": "candidate-v0.1", "zone_id": "habitat-network", "variant_id": "training-day", "baseline_state": ["water_quality_normal", "plants_stable", "oxygen_food_stable", "animal_node_stable", "people_node_stable"], "current_state": ["water_quality_dimmed", "plants_fading", "oxygen_food_fading", "animal_node_fading"], "recent_changes": [ { "change_id": "CHG-S01E01-WATER-FIRST", "description": "water-quality node dims before downstream nodes", "first_observable_at": "challenge_t0", "cause_id": "training-simulation-controller", "writer_only": false } ], "character_accessible_signals": [ { "signal_id": "SIG-S01E01-WATER-FIRST", "channel": "system_state", "description": "history marker shows water-quality node changed first", "available_to_character_ids": ["CHAR-LUMI-v1", "CHAR-TIKO-v1"], "epistemic_state": "observed_clue", "salience": "medium", "relevance": "high" }, { "signal_id": "SIG-S01E01-DIRECT-FIX-FAILED", "channel": "system_state", "description": "repeated animal-node taps do not improve the network", "available_to_character_ids": ["CHAR-LUMI-v1", "CHAR-TIKO-v1"], "epistemic_state": "observed_clue", "salience": "high", "relevance": "high" }, { "signal_id": "SIG-S01E01-NODES-FADING", "channel": "sight", "description": "multiple connected nodes fade after the water-quality change", "available_to_character_ids": ["CHAR-LUMI-v1", "CHAR-TIKO-v1"], "epistemic_state": "observed_clue", "salience": "high", "relevance": "high" } ], "hidden_causes": ["training-simulation-controller altered water-quality variable"], "misleading_plausible_clues": ["the visibly fading animal node looks like the obvious thing to fix"], "causal_dependencies": [ {"from_state": "water_quality", "relationship": "affects", "to_state": "plants"}, {"from_state": "water_quality", "relationship": "affects", "to_state": "oxygen_food"}, {"from_state": "plants_and_oxygen_food", "relationship": "support", "to_state": "animal_node"} ], "safe_interactions": ["pause simulation", "inspect node history", "change training water-quality variable"], "unsafe_interactions": ["represent simulation as a real wildlife emergency", "encourage handling real axolotls"], "reversible_actions": ["pause simulation", "inspect history", "change training variable"], "irreversible_or_high_cost_actions": [], "time_pressure": "puzzle timer; pausable; not a physical emergency", "state_after_intervention": ["water_quality_normal", "plants_stable", "oxygen_food_stable", "animal_node_stable", "network_stable"], "remaining_uncertainties": ["the simulation is a simplified teaching model, not a complete ecological model"] } ], "knowledge_access_events": [ { "access_event_id": "KA-S01E01-AXOLOTL-CLASSIFICATION", "scene_id": "SCENE-CLASSIFICATION", "character_id": "CHAR-LUMI-v1", "claim_id": "CLAIM-AXOLOTL-AMPHIBIAN", "access_mode": "tool_retrieval", "epistemic_state": "verified_fact", "provenance_ids": ["EVIDENCEPACK:S01E01:AXOLOTL-CLASSIFICATION"], "reason_needed": "resolve the classification prediction", "effect_on_reasoning": "separates aquatic habitat from biological class", "verification_still_required": false }, { "access_event_id": "KA-S01E01-REGENERATION-MODEL", "scene_id": "SCENE-REGENERATION", "character_id": "CHAR-LUMI-v1", "claim_id": "CLAIM-AXOLOTL-REGENERATION-SIMPLIFIED", "access_mode": "tool_retrieval", "epistemic_state": "source_claim", "provenance_ids": ["EVIDENCEPACK:S01E01:REGENERATION"], "reason_needed": "distinguish real regenerative biology from magic/object repair", "effect_on_reasoning": "supports a simplified biological explanation with explicit model labeling", "verification_still_required": true } ], "relationship_reasoning_beats": [ { "relationship_beat_id": "REL-S01E01-LUMI-TIKO-HABITAT", "scene_id": "SCENE-HABITAT-SIM", "character_a_id": "CHAR-LUMI-v1", "character_b_id": "CHAR-TIKO-v1", "character_a_observation": "the direct fix failed and the team needs to compare sequence and dependency", "character_b_observation": "the history marker reveals that water changed before the animal node", "interpretation_difference": "Lumi identifies the reasoning method; Tiko identifies the decisive concrete clue", "information_a_lacks": ["which exact node changed first until the history marker is spotted"], "information_b_lacks": ["why first-change order matters for choosing an intervention"], "action_threshold_difference": "Tiko wants to act quickly; Lumi requires enough orientation to avoid repeating the same failed action", "contribution_a": "pause, frame the systems question, require a causal test", "contribution_b": "spot the overlooked first-change marker and commit to testing the new hypothesis", "synthesis_or_resolution": "combine Tiko's observation with Lumi's systems framing, change the upstream variable, then verify downstream recovery" } ], "activation_blockers": [ "Replace EvidencePack placeholder provenance IDs with frozen evidence claim/source IDs.", "Bind each decision/environment object to exact ScenePlan IDs once first-video scene plan is generated.", "Bind exact environment pack/version and approved visual reference bundle.", "Bind exact Lumi/Tiko character-pack versions and provider identity references.", "Pass script and animatic situational-awareness gates before any Golden Shot generation." ] }