{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:V2EJGZKZ2YTGHUH3J7V7T2G32S","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":"7c652b0477fee8253775a11bd8187cbde743cab5826b9020698064d85f49c7cb","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-17T17:38:18Z","title_canon_sha256":"a9dda45ed19334e8e7b23e9bfc8f1d4ff6e35bfb0836c6f826d77bb78c19332d"},"schema_version":"1.0","source":{"id":"2504.13120","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.13120","created_at":"2026-07-05T10:55:34Z"},{"alias_kind":"arxiv_version","alias_value":"2504.13120v2","created_at":"2026-07-05T10:55:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.13120","created_at":"2026-07-05T10:55:34Z"},{"alias_kind":"pith_short_12","alias_value":"V2EJGZKZ2YTG","created_at":"2026-07-05T10:55:34Z"},{"alias_kind":"pith_short_16","alias_value":"V2EJGZKZ2YTGHUH3","created_at":"2026-07-05T10:55:34Z"},{"alias_kind":"pith_short_8","alias_value":"V2EJGZKZ","created_at":"2026-07-05T10:55:34Z"}],"graph_snapshots":[{"event_id":"sha256:f39eddc5b12c5c79ce148dea0b91fbbad64d7fa6cb403104648932ea81d7d226","target":"graph","created_at":"2026-07-05T10:55:34Z","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/2504.13120/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The ability to combine existing concepts into novel ideas stands as a fundamental hallmark of human intelligence. Recent advances in Vision-Language Models (VLMs) like GPT-4V and DALLE-3 have sparked debate about whether their outputs reflect combinational creativity--defined by M. A. Boden (1998) as synthesizing novel ideas through combining existing concepts--or sophisticated pattern matching of training data. Drawing inspiration from cognitive science, we investigate the combinational creativity of VLMs from the lens of concept blending. We propose the Identification-Explanation-Implication","authors_text":"Chi Zhang, Mengmeng Wang, Yixin Zhu, Yizhou Wang, Yongqian Peng, Yuxi Ma, Yuxuan Wang, Zilong Zheng","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-17T17:38:18Z","title":"Probing and Inducing Combinational Creativity in Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.13120","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:c67a2b42b9070c21d61eecc4e4d2c6a2d5d256ccdbffd2b83257b6a300df2d78","target":"record","created_at":"2026-07-05T10:55:34Z","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":"7c652b0477fee8253775a11bd8187cbde743cab5826b9020698064d85f49c7cb","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-17T17:38:18Z","title_canon_sha256":"a9dda45ed19334e8e7b23e9bfc8f1d4ff6e35bfb0836c6f826d77bb78c19332d"},"schema_version":"1.0","source":{"id":"2504.13120","kind":"arxiv","version":2}},"canonical_sha256":"ae88936559d62663d0fb4febf9e8dbd49d821f68d64fa61b6bf07d9e11722eb1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae88936559d62663d0fb4febf9e8dbd49d821f68d64fa61b6bf07d9e11722eb1","first_computed_at":"2026-07-05T10:55:34.450375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:55:34.450375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oqSnifTCFoJvDQBUzXgJwXOsfPqQiLU/MRVFF+mu1WXZ5mw1s5LbZVVLUUMKL4F64n9MAEHZWBGE9bzdQXU+AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:55:34.450922Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.13120","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c67a2b42b9070c21d61eecc4e4d2c6a2d5d256ccdbffd2b83257b6a300df2d78","sha256:f39eddc5b12c5c79ce148dea0b91fbbad64d7fa6cb403104648932ea81d7d226"],"state_sha256":"6dddfd83a5112e2ed101bc1874c7a55c56df53f7d2b2b96ae03d49f39a3dcb7d"}