{"closest_prior_art":[{"name":"Fabula context graph for narrative production","overlap":"Maps passage-traceable characters, objects, locations, moments, interactions, beliefs, intentions, state changes, identity decisions, contradictions, provenance, and timelines into a canonical story-world graph.","remaining_difference":"The opened first-party description does not show preservation of competing interpretations through append-only correction, explicit separation of diegetic time from disclosure and encoding time, or reproducible alternative fabula, focalization, and character-knowledge projections with declared frontiers.","source_ids":["SRC4"]},{"name":"Fabula Tales and Story Intention Graphs","overlap":"Separates fabula from discourse, uses an annotation tool to construct a deep graph representation, and computationally derives different tellings by varying point of view, focalization, voice, and speech presentation.","remaining_difference":"It is primarily a storytelling-generation framework and does not establish a governed passage-grounded analytical ledger with uncertain event identity, competing actuality classifications, correction lineage, coverage frontiers, and rebuild-and-diff checks.","source_ids":["SRC2"]},{"name":"TEI P5 Guidelines","overlap":"Provides established primitives for anchors, temporal synchronization, stand-off annotation, multiple encodings, alternation, graphs, feature structures, certainty, responsibility, and revision descriptions.","remaining_difference":"TEI supplies general encoding infrastructure rather than the proposal's narratology-specific event contract and pinned projectors that rebuild chronology, disclosure, focalization, and character-knowledge views from one append-only assertion history.","source_ids":["SRC3"]},{"name":"Event Detection between Literary Studies and NLP","overlap":"Formalizes event annotation for fiction and treats event ordering and disclosure as central to computational analysis of syuzhet.","remaining_difference":"It does not describe the full event-sourced reconstruction bundle: stable cross-passage identities, report-memory-fantasy distinctions, append-only reinterpretation, multiple versioned analytical projections, frontiers, and deterministic reconciliation.","source_ids":["SRC1"]}],"contrastive_claim_falsifier":"The contrastive claim is falsified if, on the frozen pilot packet, an existing TEI customization, Fabula deployment, Story Intention Graph workflow, or simple baseline can preserve competing event identities and actuality classifications, append revisions without erasure, and regenerate the declared chronology, disclosure, and character-knowledge views with identical explicit ordering, uncertainty, coverage, and provenance semantics and no independent reconciliation work.","contrastive_claim_remaining":"For contested literary chronology, actuality, narrative level, or knowledge distribution, the remaining testable distinction is whether one passage-grounded, append-only assertion substrate can reproducibly generate multiple analytical views while exposing competing interpretations, correction lineage, ordering rules, and coverage frontiers. The retained art supplies many individual components, but no opened source demonstrated that complete analytical contract.","experiment_id":"eoa_inverse_innovation_exp13_second_slot_policy60_20260806","gates":{"adequate_source_search":{"rationale":"The bounded search covered the proposal directly, older fabula/sjuzhet and Story Intention Graph terminology, TEI standards and first-party products, and combinations involving event graphs, focalization, character knowledge, append-only history, and replay. Exactly four opened sources were retained from four publishers, including two research sources, an official standard, and a first-party product.","source_ids":["SRC1","SRC2","SRC3","SRC4"],"status":"PASS"},"bounded_next_test":{"rationale":"A read-only pilot on at most 40 passages and 60 assertions, with two encoders and three frozen projections, is bounded and can measure agreement, unresolved orders, duplicate matching, projection reproducibility, coverage, quotation issues, and incremental effort relative to a simple timeline or TEI-only baseline.","source_ids":["SRC1","SRC2","SRC3","SRC4"],"status":"PASS"},"distinct_testable_claim":{"rationale":"Although graph encoding, fabula-discourse separation, focalization, provenance, uncertainty markup, and canonical story records already exist, the proposed conjunction of competing typed assertions, append-only correction, deterministic analytical projectors, and visible completeness frontiers remains distinguishable and can be tested by clean replay and baseline comparison.","source_ids":["SRC1","SRC2","SRC3","SRC4"],"status":"PASS"},"no_obvious_safety_or_authority_stop":{"rationale":"The authorized step is isolated, read-only, passage-bounded, custodian-controlled, and excludes reader surveillance, definitive interpretation, and excessive quotation. TEI demonstrates that stand-off annotation, source linking, certainty, responsibility, and revision metadata can be represented without modifying the source text. Copyright authorization and schema-induced interpretive distortion remain explicit halt conditions rather than unavoidable stops.","source_ids":["SRC3"],"status":"PASS"},"supported_problem":{"rationale":"Research identifies divergent definitions of literary events and the analytical importance of separating event ordering from textual disclosure; computational work explicitly separates fabula from discourse, while first-party practice describes scripts as difficult data requiring identity resolution, provenance, state, and contradiction handling. This supports the vulnerability, though the retained sources do not quantify how often manual literary analyses fail reconstruction.","source_ids":["SRC1","SRC2","SRC4"],"status":"PASS"}},"prior_art_disposition":"ADJACENT_PRIOR_ART","problem_evidence":{"finding":"The problem is partly visible: SRC1 reports fragmented event definitions and makes ordering and disclosure central to syuzhet analysis; SRC2 operationalizes the distinction between fabula and discourse; SRC4 addresses source-traced event, identity, belief, state, and continuity representation; and SRC3 standardizes uncertainty and multiple encodings. None directly measures the claimed failure rate of summaries, timelines, and character diagrams or demonstrates the full proposed ledger remedy.","source_ids":["SRC1","SRC2","SRC3","SRC4"],"status":"PARTLY_SUPPORTED"},"research_id":"eoa_inverse_innovation_exp13_light_screen_20260806","schema_version":1,"screen_id":"E13P102","screen_survival":true,"search_lanes":{"component_combination":{"no_result_note":null,"queries":["\"event sourcing\" narratology literary annotation fabula syuzhet","\"append-only\" narrative event graph literary analysis","\"character knowledge\" \"fabula\" graph literary annotation","\"multiple\" projections fabula syuzhet event graph narrative"],"source_ids":["SRC2","SRC3","SRC4"]},"direct_problem_and_intervention":{"no_result_note":null,"queries":["computational narratology fabula syuzhet event graph focalization character knowledge literary text annotation","narrative event annotation literary text temporal order memory dream reported event corpus","site:aclanthology.org literary event annotation narrative event identity temporal order annotation"],"source_ids":["SRC1","SRC2","SRC4"]},"products_practices_and_standards":{"no_result_note":null,"queries":["software narrative timeline fabula syuzhet character knowledge graph annotation","TEI Guidelines certainty responsibility revision history stand-off temporal narrative events official","site:tei-c.org Guidelines multiple encodings same information stand-off markup certainty responsibility"],"source_ids":["SRC3","SRC4"]},"synonyms_and_historical_terms":{"no_result_note":null,"queries":["Story Intention Graph annotation fabula discourse character knowledge focalization primary research","narrative annotation tool fabula syuzhet multiple interpretations uncertainty event graph","computational narratology fabula sjuzhet sujhet story discourse focalization"],"source_ids":["SRC1","SRC2","SRC3"]}},"sources":[{"claims_supported":["Event ordering and information disclosure are central to syuzhet analysis in fiction.","Definitions of events and the theoretical foundations of event detection vary across domains.","The authors present a computational model based on formalized event annotation in fictional texts."],"publisher":"University of Groningen Research Portal / Journal of Computational Literary Studies","source_id":"SRC1","source_type":"PRIMARY_RESEARCH","title":"Event Detection between Literary Studies and NLP: A Survey, a Narratological Reflection, and a Case Study","url":"https://research.rug.nl/en/publications/event-detection-between-literary-studies-and-nlp-a-survey-a-narra/"},{"claims_supported":["Fabula and discourse are represented as separate narrative levels.","A Story Intention Graph annotation tool creates a deep representation of fabula.","The framework derives different tellings using point of view, focalization, voice, and direct-versus-indirect speech parameters."],"publisher":"arXiv / Cornell University","source_id":"SRC2","source_type":"PRIMARY_RESEARCH","title":"Narrative Variations in a Virtual Storyteller","url":"https://arxiv.org/abs/1708.08585"},{"claims_supported":["TEI P5 includes anchors, synchronization of events, stand-off annotations, graphs, feature structures, and links between text and analysis.","The Guidelines address multiple encodings, alternation, structured uncertainty, precision, attribution of responsibility, and revision descriptions.","These are general encoding primitives rather than a prescribed narratological replay ledger."],"publisher":"Text Encoding Initiative Consortium","source_id":"SRC3","source_type":"OFFICIAL_STANDARD","title":"TEI P5: Guidelines for Electronic Text Encoding and Interchange","url":"https://tei-c.org/release/doc/tei-p5-doc/en/html/"},{"claims_supported":["Fabula maps story entities, moments, and interactions into a knowledge graph with claims traced to source lines.","It extracts stable beat identifiers, participants, settings, and shifts; explicitly resolves or separates identities; and records beliefs, evidence, intentions, object-state changes, causal links, contradictions, and provenance.","A canonical graph supports timelines and several downstream uses, but the page does not document competing scholarly projections or append-only interpretive correction."],"publisher":"Brandburner Industries / Fabula","source_id":"SRC4","source_type":"FIRST_PARTY_PRODUCT","title":"Fabula — The Context Graph for Narrative Production","url":"https://fabula.productions/"}],"world_novelty_boundary":"This was a coarse, bounded public-web screen. The ADJACENT_PRIOR_ART disposition means no opened source demonstrated the entire claimed combination; it does not establish world novelty, patentability, market size, expert acceptance, implementation feasibility beyond the pilot, or realized scholarly value."}