ECR 000003 EXP002 P001A narrative

packet_id: ECR-000003-EXP002-P001A experiment_id: EXP-002 variant_id: P001A artifact_family_id: P001 recognition_condition: narrative blinded_artifact_id: BR-EXP002-P001

blinded_procedural_content:

An unresolved issue appears.

Several possible paths are generated.

An additional input is gathered that helps distinguish among the paths.

The paths are reassessed using that input.

If the distinction remains too weak, the process loops and gathers more differentiating input.

The process ends when one path is selected or further continuation is no longer justified.

instructions:

You are participating in a blinded procedural observation study.

Your task is to recover procedural observations from the packet.

Your objective is faithful extraction, not normalization.

Do not evaluate the theory behind the study.

Do not evaluate Framework Engineering.

Do not update hypotheses.

Do not redesign, critique, optimize, or extend the procedure.

If recognition is unavoidable, record it only in the recognized_artifact field.

Do not use prior knowledge of a recognized artifact to fill in structure beyond what is reasonably supported by the packet.

Base your response only on the packet content and reasonable procedural implications of that content.

Do not invent unsupported procedural structure.

If multiple procedural decompositions are equally reasonable, do not choose one simply to make the representation cleaner. Record the ambiguity explicitly.

Prefer reporting multiple plausible interpretations over collapsing them into a single interpretation when the packet supports more than one reading.

For graph or table packets, do not infer domain terminology unless it is present in the packet.

Record uncertainty explicitly.

Return exactly one valid JSON object matching the supplied schema.

Do not include markdown.

json_schema:

{
  "packet_id": "",
  "experiment_id": "",
  "variant_id": "",
  "artifact_family_id": "",
  "recognition_condition": "",
  "blinded_artifact_id": "",
  "recognized_artifact": "",
  "structural_layer": {"entry_conditions":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"exit_conditions":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"required_steps":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"optional_steps":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"loops":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"branches":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"termination_conditions":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"control_flow_shape":""},
  "primitive_layer": {"primitive_sequence":[],"transitions":[],"dominant_primitive":"","candidate_missing_primitives":[]},
  "constraint_layer": {"invariants":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"preconditions":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"postconditions":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"stopping_criteria":[{"value":"","support_level":"","source_text":"","ambiguity":""}],"validity_conditions":[{"value":"","support_level":"","source_text":"","ambiguity":""}]},
  "representation_layer": {"procedural_ast":{},"natural_language_summary":"","canonical_summary":"","ambiguities":[{"location":"","description":"","plausible_interpretations":[],"effect_on_extraction":""}]},
  "recognition_analysis": {"recognition_occurred":"","recognition_basis":"","domain_terms_introduced":[],"prior_knowledge_leakage_risk":""},
  "confidence": {"structural_layer":"","primitive_layer":"","constraint_layer":"","representation_layer":"","recognition_analysis":"","overall":""},
  "notes": ""
}