{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ILT7XLCI4DHFTJL4ZNZHPGS62Y","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"5e0b310f9519abf326469f300c7b76521f26e5ff3eb732de1fc3f88e75d41c8e","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-27T08:45:31Z","title_canon_sha256":"49c09c18dfe8700a5ee8747914a64829919d4cda43afe4d1c9e6609340b55310"},"schema_version":"1.0","source":{"id":"2311.15626","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.15626","created_at":"2026-07-05T07:22:26Z"},{"alias_kind":"arxiv_version","alias_value":"2311.15626v2","created_at":"2026-07-05T07:22:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15626","created_at":"2026-07-05T07:22:26Z"},{"alias_kind":"pith_short_12","alias_value":"ILT7XLCI4DHF","created_at":"2026-07-05T07:22:26Z"},{"alias_kind":"pith_short_16","alias_value":"ILT7XLCI4DHFTJL4","created_at":"2026-07-05T07:22:26Z"},{"alias_kind":"pith_short_8","alias_value":"ILT7XLCI","created_at":"2026-07-05T07:22:26Z"}],"graph_snapshots":[{"event_id":"sha256:1ff738447c11c116003f5f3301eb2acedf45c0426ae5822194aeaf044d199716","target":"graph","created_at":"2026-07-05T07:22:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2311.15626/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Crossword puzzles are one of the most popular word games, played in different languages all across the world, where riddle style can vary significantly from one country to another. Automated crossword resolution is challenging, and typical solvers rely on large databases of previously solved crosswords. In this work, we extend WebCrow 2.0, an automatic crossword solver, to French, making it the first program for crossword solving in the French language. To cope with the lack of a large repository of clue-answer crossword data, WebCrow 2.0 exploits multiple modules, called experts, that retriev","authors_text":"Andrea Zugarini, Caroline Stehl\\'e, Fanny Sim\\~oes, Giovanni Angelini, Kamyar Zeinalipour, Marco Ernandes, Marco Gori, Tommaso laquinta","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-27T08:45:31Z","title":"The WebCrow French Crossword Solver"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15626","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:d4fab74cf7d58425d714b9aaddce0b3b323e486ece63c173b78333aa4f5066a9","target":"record","created_at":"2026-07-05T07:22:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"5e0b310f9519abf326469f300c7b76521f26e5ff3eb732de1fc3f88e75d41c8e","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-27T08:45:31Z","title_canon_sha256":"49c09c18dfe8700a5ee8747914a64829919d4cda43afe4d1c9e6609340b55310"},"schema_version":"1.0","source":{"id":"2311.15626","kind":"arxiv","version":2}},"canonical_sha256":"42e7fbac48e0ce59a57ccb72779a5ed61a3813a3fad7a36c8ab6cce91826cde7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"42e7fbac48e0ce59a57ccb72779a5ed61a3813a3fad7a36c8ab6cce91826cde7","first_computed_at":"2026-07-05T07:22:26.498702Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:22:26.498702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WGgCCD/TBtAzPtXU0NFR06wTkMNOTR1FeDUwVPcSquBYEsUXExjODylrjHyToqKBU+PTmMUXfeATEh3s3lysBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:22:26.499102Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.15626","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4fab74cf7d58425d714b9aaddce0b3b323e486ece63c173b78333aa4f5066a9","sha256:1ff738447c11c116003f5f3301eb2acedf45c0426ae5822194aeaf044d199716"],"state_sha256":"82d180740a36c947ba1d81b2f0548feb304473f035e4102676fe205da7c84bad"}