{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YXGC7T4SDMQKFZUWJPBFGJO4HQ","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":"a74e8d196bd5dccf76f6405d12f40009ca42e374ac2257d255ed72b8664bc2cb","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-09-05T13:13:19Z","title_canon_sha256":"feaeda08e42518c0bc8a66ecf10982e4a5754556860af353f3917d14de3d9ccf"},"schema_version":"1.0","source":{"id":"2509.05072","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.05072","created_at":"2026-07-05T12:05:35Z"},{"alias_kind":"arxiv_version","alias_value":"2509.05072v1","created_at":"2026-07-05T12:05:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.05072","created_at":"2026-07-05T12:05:35Z"},{"alias_kind":"pith_short_12","alias_value":"YXGC7T4SDMQK","created_at":"2026-07-05T12:05:35Z"},{"alias_kind":"pith_short_16","alias_value":"YXGC7T4SDMQKFZUW","created_at":"2026-07-05T12:05:35Z"},{"alias_kind":"pith_short_8","alias_value":"YXGC7T4S","created_at":"2026-07-05T12:05:35Z"}],"graph_snapshots":[{"event_id":"sha256:227df873763d41dbc68080fddb6839f7112bab69572bb0c8651e3aeaf0d56e4d","target":"graph","created_at":"2026-07-05T12:05:35Z","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/2509.05072/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Innovators often exhibit cognitive fixation on existing solutions or nascent ideas, hindering the exploration of novel alternatives. This paper introduces a methodology for constructing Functional Concept Graphs (FCGs), interconnected representations of functional elements that support abstraction, problem reframing, and analogical inspiration. Our approach yields large-scale, high-quality FCGs with explicit abstraction relations, overcoming limitations of prior work. We further present MUSE, an algorithm leveraging FCGs to generate creative inspirations for a given problem. We demonstrate our","authors_text":"Ben Wolfson, Dafna Shahaf, Hanit Hakim, Hila Lifshitz, Nir Sweed","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-09-05T13:13:19Z","title":"Finding your MUSE: Mining Unexpected Solutions Engine"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.05072","kind":"arxiv","version":1},"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":"sha256:0e8f84d518b1ad603c8b12aa7f2d4c81637d35497c2476e5526f8b3c8334a0d1","target":"record","created_at":"2026-07-05T12:05:35Z","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":"a74e8d196bd5dccf76f6405d12f40009ca42e374ac2257d255ed72b8664bc2cb","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-09-05T13:13:19Z","title_canon_sha256":"feaeda08e42518c0bc8a66ecf10982e4a5754556860af353f3917d14de3d9ccf"},"schema_version":"1.0","source":{"id":"2509.05072","kind":"arxiv","version":1}},"canonical_sha256":"c5cc2fcf921b20a2e6964bc25325dc3c27fb82a0581d49ff6ac6a987170dc0e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5cc2fcf921b20a2e6964bc25325dc3c27fb82a0581d49ff6ac6a987170dc0e0","first_computed_at":"2026-07-05T12:05:35.549677Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:35.549677Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GPktTWM5/zZ/CkQWOd0RyYUE+XKF9xMqV722I+b2Npb3rhZv8QL54W6T4oftOQdUUT0YgKlHw/W8KCYCWivbAg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:35.550254Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.05072","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e8f84d518b1ad603c8b12aa7f2d4c81637d35497c2476e5526f8b3c8334a0d1","sha256:227df873763d41dbc68080fddb6839f7112bab69572bb0c8651e3aeaf0d56e4d"],"state_sha256":"9965c237acbe7e01655bf4d636dab6388fa0a409cc051850a539ac6acc104c3e"}