{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KVQ34EJSBJD5BRLTGGEFYIEGXG","short_pith_number":"pith:KVQ34EJS","canonical_record":{"source":{"id":"2605.16477","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T16:09:56Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"d07c65f3371321c608994de6374b5f93d9bbc2f23b84aca370419597fa9a9a74","abstract_canon_sha256":"707e01d0ede920bd022bcadbf5acf350b27434f57f285f9532d0bdcae456393a"},"schema_version":"1.0"},"canonical_sha256":"5561be11320a47d0c57331885c2086b991004b2a9dd1b5fb2b3d2680ec0540ee","source":{"kind":"arxiv","id":"2605.16477","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16477","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16477v1","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16477","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_12","alias_value":"KVQ34EJSBJD5","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_16","alias_value":"KVQ34EJSBJD5BRLT","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_8","alias_value":"KVQ34EJS","created_at":"2026-05-20T00:02:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KVQ34EJSBJD5BRLTGGEFYIEGXG","target":"record","payload":{"canonical_record":{"source":{"id":"2605.16477","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T16:09:56Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"d07c65f3371321c608994de6374b5f93d9bbc2f23b84aca370419597fa9a9a74","abstract_canon_sha256":"707e01d0ede920bd022bcadbf5acf350b27434f57f285f9532d0bdcae456393a"},"schema_version":"1.0"},"canonical_sha256":"5561be11320a47d0c57331885c2086b991004b2a9dd1b5fb2b3d2680ec0540ee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:02:23.992571Z","signature_b64":"loiFKBU0BJsyQ/cZ5lrgVdco3DQcaa5Gfla4jSYQMfMdWudctlNYg7WG/VDcA50QYt/TpJuYTeN3bqtJ/iZvAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5561be11320a47d0c57331885c2086b991004b2a9dd1b5fb2b3d2680ec0540ee","last_reissued_at":"2026-05-20T00:02:23.991861Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:02:23.991861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.16477","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:02:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kFDocwhj/Xi2Tr7yM3G8qrIJF+gWb3984zKCFaJqeNfZTs7y7x0tvitHDmy5K17pWQW+gKsrSg8zrNw6LIRTBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T03:13:54.460068Z"},"content_sha256":"16b797e4d112402978b2f451dd427de5df46476d8d7216315ee6371543d5b77c","schema_version":"1.0","event_id":"sha256:16b797e4d112402978b2f451dd427de5df46476d8d7216315ee6371543d5b77c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KVQ34EJSBJD5BRLTGGEFYIEGXG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Mengye Ren","submitted_at":"2026-05-15T16:09:56Z","abstract_excerpt":"What does it mean to create a new concept, rather than retrieve a familiar one? Repeatedly sampling a generative model at the same prompt produces variations with similar styles and typical content. We propose that creativity is the production of stimuli that are unfamiliar to an adaptive observer at first sight, but quickly learnable from a few exposures. We formalize this as a Creator-Appraiser pair: a Creator generates a candidate, an Appraiser adapts to it for a few inner-loop learning steps, and the Appraiser's improvement becomes the reward the Creator optimizes through. We instantiate t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16477","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.16477/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T19:33:23.113049Z","status":"skipped","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T19:21:57.040335Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"eed625848db79f996a96fb523ecb80c66f8eb69eb0b23a997130fa75da2ffd0d"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:02:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"57VeAIeOwEVSGBTkKIMsxKZrH4iS9DDMkuI9/AqkLilqVc/DNcw4Hto6DlRGKqEjFKq3laBvYsuh53/VsEtsBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T03:13:54.461260Z"},"content_sha256":"2d39f4fd14aa902ab58f9a353f107574f9345418429e9d4e0cbfe5dde2a90db9","schema_version":"1.0","event_id":"sha256:2d39f4fd14aa902ab58f9a353f107574f9345418429e9d4e0cbfe5dde2a90db9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KVQ34EJSBJD5BRLTGGEFYIEGXG/bundle.json","state_url":"https://pith.science/pith/KVQ34EJSBJD5BRLTGGEFYIEGXG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KVQ34EJSBJD5BRLTGGEFYIEGXG/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-26T03:13:54Z","links":{"resolver":"https://pith.science/pith/KVQ34EJSBJD5BRLTGGEFYIEGXG","bundle":"https://pith.science/pith/KVQ34EJSBJD5BRLTGGEFYIEGXG/bundle.json","state":"https://pith.science/pith/KVQ34EJSBJD5BRLTGGEFYIEGXG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KVQ34EJSBJD5BRLTGGEFYIEGXG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KVQ34EJSBJD5BRLTGGEFYIEGXG","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":"707e01d0ede920bd022bcadbf5acf350b27434f57f285f9532d0bdcae456393a","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T16:09:56Z","title_canon_sha256":"d07c65f3371321c608994de6374b5f93d9bbc2f23b84aca370419597fa9a9a74"},"schema_version":"1.0","source":{"id":"2605.16477","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16477","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16477v1","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16477","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_12","alias_value":"KVQ34EJSBJD5","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_16","alias_value":"KVQ34EJSBJD5BRLT","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_8","alias_value":"KVQ34EJS","created_at":"2026-05-20T00:02:23Z"}],"graph_snapshots":[{"event_id":"sha256:2d39f4fd14aa902ab58f9a353f107574f9345418429e9d4e0cbfe5dde2a90db9","target":"graph","created_at":"2026-05-20T00:02:23Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T19:33:23.113049Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T19:21:57.040335Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.16477/integrity.json","findings":[],"snapshot_sha256":"eed625848db79f996a96fb523ecb80c66f8eb69eb0b23a997130fa75da2ffd0d","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"What does it mean to create a new concept, rather than retrieve a familiar one? Repeatedly sampling a generative model at the same prompt produces variations with similar styles and typical content. We propose that creativity is the production of stimuli that are unfamiliar to an adaptive observer at first sight, but quickly learnable from a few exposures. We formalize this as a Creator-Appraiser pair: a Creator generates a candidate, an Appraiser adapts to it for a few inner-loop learning steps, and the Appraiser's improvement becomes the reward the Creator optimizes through. We instantiate t","authors_text":"Mengye Ren","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T16:09:56Z","title":"Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16477","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":"sha256:16b797e4d112402978b2f451dd427de5df46476d8d7216315ee6371543d5b77c","target":"record","created_at":"2026-05-20T00:02:23Z","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":"707e01d0ede920bd022bcadbf5acf350b27434f57f285f9532d0bdcae456393a","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T16:09:56Z","title_canon_sha256":"d07c65f3371321c608994de6374b5f93d9bbc2f23b84aca370419597fa9a9a74"},"schema_version":"1.0","source":{"id":"2605.16477","kind":"arxiv","version":1}},"canonical_sha256":"5561be11320a47d0c57331885c2086b991004b2a9dd1b5fb2b3d2680ec0540ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5561be11320a47d0c57331885c2086b991004b2a9dd1b5fb2b3d2680ec0540ee","first_computed_at":"2026-05-20T00:02:23.991861Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:02:23.991861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"loiFKBU0BJsyQ/cZ5lrgVdco3DQcaa5Gfla4jSYQMfMdWudctlNYg7WG/VDcA50QYt/TpJuYTeN3bqtJ/iZvAg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:02:23.992571Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.16477","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16b797e4d112402978b2f451dd427de5df46476d8d7216315ee6371543d5b77c","sha256:2d39f4fd14aa902ab58f9a353f107574f9345418429e9d4e0cbfe5dde2a90db9"],"state_sha256":"fe8fbee28b285063a3f1f8ac2313d1f81ab2a5aaacc284b87bd4652057e3a340"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hoRI8zQ4d91ngRZ/EKJknTLb35gxM+VU+sM8sniOBwdKT4aGsBSSRCMfnDxO57qXKib5czDCF/PMQgqo8RHPDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T03:13:54.465141Z","bundle_sha256":"bd0445a45a6dd0913cd97e671476f8813720bf2c078cb0bcebb3d140ad9342b0"}}