{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:VR4YEPWFBEVD3ACIWC3OP3JAZL","short_pith_number":"pith:VR4YEPWF","canonical_record":{"source":{"id":"2606.07226","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T12:42:56Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"d4247e342f70df7b7bc675050f70695f04f928e0aed6c8badb223129d0262cd9","abstract_canon_sha256":"eb62eebf231360aa56248efe3eed533a0cf6bad06a3590c6edf2fc027dd9e94c"},"schema_version":"1.0"},"canonical_sha256":"ac79823ec5092a3d8048b0b6e7ed20cadec7473f92b4e9cc2a24cb09b30c61ad","source":{"kind":"arxiv","id":"2606.07226","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07226","created_at":"2026-06-08T01:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07226v1","created_at":"2026-06-08T01:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07226","created_at":"2026-06-08T01:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"VR4YEPWFBEVD","created_at":"2026-06-08T01:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"VR4YEPWFBEVD3ACI","created_at":"2026-06-08T01:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"VR4YEPWF","created_at":"2026-06-08T01:04:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:VR4YEPWFBEVD3ACIWC3OP3JAZL","target":"record","payload":{"canonical_record":{"source":{"id":"2606.07226","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T12:42:56Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"d4247e342f70df7b7bc675050f70695f04f928e0aed6c8badb223129d0262cd9","abstract_canon_sha256":"eb62eebf231360aa56248efe3eed533a0cf6bad06a3590c6edf2fc027dd9e94c"},"schema_version":"1.0"},"canonical_sha256":"ac79823ec5092a3d8048b0b6e7ed20cadec7473f92b4e9cc2a24cb09b30c61ad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:04:54.340460Z","signature_b64":"ZRCTr18FTgXQ+gNp04pH8hDd+zirPgRL0unbCO8xOu/gJqVRlgzguahFM8GAcblubPgwEn/9Gogg+99V7qm2CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac79823ec5092a3d8048b0b6e7ed20cadec7473f92b4e9cc2a24cb09b30c61ad","last_reissued_at":"2026-06-08T01:04:54.339605Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:04:54.339605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.07226","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":"2026-06-08T01:04:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jxF1IEh11wsxd/5hD5SMhXRe7xee4m/Tn4xz4kUjA9fuHPDO9KISYlZhcsG8CyU+KiBJ7RAuqE2uGvlVqAAUAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T18:41:51.224961Z"},"content_sha256":"33e2c616803c23b26813aa80b990b7c5fcaa0412eb0e11899884acd9c57c2e46","schema_version":"1.0","event_id":"sha256:33e2c616803c23b26813aa80b990b7c5fcaa0412eb0e11899884acd9c57c2e46"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:VR4YEPWFBEVD3ACIWC3OP3JAZL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Aimin Zhou, Hong Qian, Jiajun Guo, Mingjia Li, Tongzhou Yu, Wenkai Wang, Xiangfeng Wang, Yaoyu Jiang, Zongbao Zhang","submitted_at":"2026-06-05T12:42:56Z","abstract_excerpt":"Human creativity has emerged as a critical competency in the era of large language models. Assessing creativity in complex, open-ended environments is a grand challenge in data mining, currently hindered by a reliance on standardized simple tasks and the scarcity of fine-grained expert data. As an ecologically valid assessment context, debate reflects multiple dimensions of creativity, encompassing both divergent thinking and convergent thinking. Moreover, debate is a data-rich domain, with a large volume of publicly accessible materials. Current mainstream automated scoring methods are poorly"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07226","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/2606.07226/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-06-08T01:04:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qJB51aP4nIrzx99VM0AX+jKvfCNaHBHTIDRfHFCNzHDjnR7V9SilO5cIsmAvyq9AfdyCXH7pF4MCNEaJbiAXDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T18:41:51.225774Z"},"content_sha256":"efdc1b818856d6d01c0ecc15bcfa3ecb80a5df86bdf2768723bf27931807df78","schema_version":"1.0","event_id":"sha256:efdc1b818856d6d01c0ecc15bcfa3ecb80a5df86bdf2768723bf27931807df78"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VR4YEPWFBEVD3ACIWC3OP3JAZL/bundle.json","state_url":"https://pith.science/pith/VR4YEPWFBEVD3ACIWC3OP3JAZL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VR4YEPWFBEVD3ACIWC3OP3JAZL/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":"2026-06-11T18:41:51Z","links":{"resolver":"https://pith.science/pith/VR4YEPWFBEVD3ACIWC3OP3JAZL","bundle":"https://pith.science/pith/VR4YEPWFBEVD3ACIWC3OP3JAZL/bundle.json","state":"https://pith.science/pith/VR4YEPWFBEVD3ACIWC3OP3JAZL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VR4YEPWFBEVD3ACIWC3OP3JAZL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VR4YEPWFBEVD3ACIWC3OP3JAZL","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":"eb62eebf231360aa56248efe3eed533a0cf6bad06a3590c6edf2fc027dd9e94c","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T12:42:56Z","title_canon_sha256":"d4247e342f70df7b7bc675050f70695f04f928e0aed6c8badb223129d0262cd9"},"schema_version":"1.0","source":{"id":"2606.07226","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07226","created_at":"2026-06-08T01:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07226v1","created_at":"2026-06-08T01:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07226","created_at":"2026-06-08T01:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"VR4YEPWFBEVD","created_at":"2026-06-08T01:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"VR4YEPWFBEVD3ACI","created_at":"2026-06-08T01:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"VR4YEPWF","created_at":"2026-06-08T01:04:54Z"}],"graph_snapshots":[{"event_id":"sha256:efdc1b818856d6d01c0ecc15bcfa3ecb80a5df86bdf2768723bf27931807df78","target":"graph","created_at":"2026-06-08T01:04:54Z","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/2606.07226/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human creativity has emerged as a critical competency in the era of large language models. Assessing creativity in complex, open-ended environments is a grand challenge in data mining, currently hindered by a reliance on standardized simple tasks and the scarcity of fine-grained expert data. As an ecologically valid assessment context, debate reflects multiple dimensions of creativity, encompassing both divergent thinking and convergent thinking. Moreover, debate is a data-rich domain, with a large volume of publicly accessible materials. Current mainstream automated scoring methods are poorly","authors_text":"Aimin Zhou, Hong Qian, Jiajun Guo, Mingjia Li, Tongzhou Yu, Wenkai Wang, Xiangfeng Wang, Yaoyu Jiang, Zongbao Zhang","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T12:42:56Z","title":"DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07226","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":"sha256:33e2c616803c23b26813aa80b990b7c5fcaa0412eb0e11899884acd9c57c2e46","target":"record","created_at":"2026-06-08T01:04:54Z","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":"eb62eebf231360aa56248efe3eed533a0cf6bad06a3590c6edf2fc027dd9e94c","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T12:42:56Z","title_canon_sha256":"d4247e342f70df7b7bc675050f70695f04f928e0aed6c8badb223129d0262cd9"},"schema_version":"1.0","source":{"id":"2606.07226","kind":"arxiv","version":1}},"canonical_sha256":"ac79823ec5092a3d8048b0b6e7ed20cadec7473f92b4e9cc2a24cb09b30c61ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac79823ec5092a3d8048b0b6e7ed20cadec7473f92b4e9cc2a24cb09b30c61ad","first_computed_at":"2026-06-08T01:04:54.339605Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T01:04:54.339605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZRCTr18FTgXQ+gNp04pH8hDd+zirPgRL0unbCO8xOu/gJqVRlgzguahFM8GAcblubPgwEn/9Gogg+99V7qm2CA==","signature_status":"signed_v1","signed_at":"2026-06-08T01:04:54.340460Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.07226","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:33e2c616803c23b26813aa80b990b7c5fcaa0412eb0e11899884acd9c57c2e46","sha256:efdc1b818856d6d01c0ecc15bcfa3ecb80a5df86bdf2768723bf27931807df78"],"state_sha256":"a7cb63da3a32a1e0aad238f70536217e39d9651feb3215ac6bedcd13306880ca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YzAaLVCsd1pDf8/OapdrFXiVHuKeOFeP4fn76kkczshmM+VfU6E1rY/rnzQdmjLiV+sHqLrJDUk8PZ99aGvFAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T18:41:51.230239Z","bundle_sha256":"25b667c6a559dd9074106693decc7ef488928039c9c087923b3e39ef8edd1e35"}}