{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5UTXXCDR3CO3KXWDZX632BGAJS","short_pith_number":"pith:5UTXXCDR","canonical_record":{"source":{"id":"2505.16330","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T07:34:59Z","cross_cats_sorted":["cs.AI","cs.DL"],"title_canon_sha256":"ac2cf1db7a46c49f9a87a2e82349d382eb812619592e86d6a5c7aa760f59293b","abstract_canon_sha256":"0a6b246c0d5e6af7fad66aba70403c88dfe6ca16780458c024d1d96640a6ef9d"},"schema_version":"1.0"},"canonical_sha256":"ed277b8871d89db55ec3cdfdbd04c04cbc356834d3e806a6982eb0d4814063f0","source":{"kind":"arxiv","id":"2505.16330","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16330","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16330v1","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16330","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_12","alias_value":"5UTXXCDR3CO3","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_16","alias_value":"5UTXXCDR3CO3KXWD","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_8","alias_value":"5UTXXCDR","created_at":"2026-07-05T11:07:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5UTXXCDR3CO3KXWDZX632BGAJS","target":"record","payload":{"canonical_record":{"source":{"id":"2505.16330","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T07:34:59Z","cross_cats_sorted":["cs.AI","cs.DL"],"title_canon_sha256":"ac2cf1db7a46c49f9a87a2e82349d382eb812619592e86d6a5c7aa760f59293b","abstract_canon_sha256":"0a6b246c0d5e6af7fad66aba70403c88dfe6ca16780458c024d1d96640a6ef9d"},"schema_version":"1.0"},"canonical_sha256":"ed277b8871d89db55ec3cdfdbd04c04cbc356834d3e806a6982eb0d4814063f0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:33.825036Z","signature_b64":"mTn44kgk+1Wu2JiqpZSsVbhhFvuENx8M4iM1Zp6f9hMUuhvTKSrsJGGn82YI9WqxoiuucjuA/lAfazEbrv81Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed277b8871d89db55ec3cdfdbd04c04cbc356834d3e806a6982eb0d4814063f0","last_reissued_at":"2026-07-05T11:07:33.824578Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:33.824578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.16330","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":"2026-07-05T11:07:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xBlrWqtaMByQHCScnGxTAOTaumA3s5YgwampIk7DNApNJk1StPrh56On7q5z7OEW9F5Wk+kEAl/yRUzPtBpBBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:55:08.780388Z"},"content_sha256":"2f3120e58fa7bf3f28406b1105badf677f1cdbe5f5327a1513bce9212bb0342e","schema_version":"1.0","event_id":"sha256:2f3120e58fa7bf3f28406b1105badf677f1cdbe5f5327a1513bce9212bb0342e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5UTXXCDR3CO3KXWDZX632BGAJS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.DL"],"primary_cat":"cs.CL","authors_text":"Chengzhi Zhang, Tong Bao, Wenqing Wu, Yi Zhao","submitted_at":"2025-05-22T07:34:59Z","abstract_excerpt":"Novelty is a core component of academic papers, and there are multiple perspectives on the assessment of novelty. Existing methods often focus on word or entity combinations, which provide limited insights. The content related to a paper's novelty is typically distributed across different core sections, e.g., Introduction, Methodology and Results. Therefore, exploring the optimal combination of sections for evaluating the novelty of a paper is important for advancing automated novelty assessment. In this paper, we utilize different combinations of sections from academic papers as inputs to dri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16330","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/2505.16330/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":"2026-07-05T11:07:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7k6d03gkBxvYw8lyDed+nSuibDSS38AURemVHURd+toP9rijGsgBFhrJrGLvzQVNjxI380E60/B2k4SgIaFBCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:55:08.780943Z"},"content_sha256":"c160c6782599b2e1faf21581e770fd7858b6ce2390d858069c29d0d1d4a418da","schema_version":"1.0","event_id":"sha256:c160c6782599b2e1faf21581e770fd7858b6ce2390d858069c29d0d1d4a418da"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5UTXXCDR3CO3KXWDZX632BGAJS/bundle.json","state_url":"https://pith.science/pith/5UTXXCDR3CO3KXWDZX632BGAJS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5UTXXCDR3CO3KXWDZX632BGAJS/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":"2026-08-07T20:55:08Z","links":{"resolver":"https://pith.science/pith/5UTXXCDR3CO3KXWDZX632BGAJS","bundle":"https://pith.science/pith/5UTXXCDR3CO3KXWDZX632BGAJS/bundle.json","state":"https://pith.science/pith/5UTXXCDR3CO3KXWDZX632BGAJS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5UTXXCDR3CO3KXWDZX632BGAJS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5UTXXCDR3CO3KXWDZX632BGAJS","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":"0a6b246c0d5e6af7fad66aba70403c88dfe6ca16780458c024d1d96640a6ef9d","cross_cats_sorted":["cs.AI","cs.DL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T07:34:59Z","title_canon_sha256":"ac2cf1db7a46c49f9a87a2e82349d382eb812619592e86d6a5c7aa760f59293b"},"schema_version":"1.0","source":{"id":"2505.16330","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16330","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16330v1","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16330","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_12","alias_value":"5UTXXCDR3CO3","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_16","alias_value":"5UTXXCDR3CO3KXWD","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_8","alias_value":"5UTXXCDR","created_at":"2026-07-05T11:07:33Z"}],"graph_snapshots":[{"event_id":"sha256:c160c6782599b2e1faf21581e770fd7858b6ce2390d858069c29d0d1d4a418da","target":"graph","created_at":"2026-07-05T11:07:33Z","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/2505.16330/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Novelty is a core component of academic papers, and there are multiple perspectives on the assessment of novelty. Existing methods often focus on word or entity combinations, which provide limited insights. The content related to a paper's novelty is typically distributed across different core sections, e.g., Introduction, Methodology and Results. Therefore, exploring the optimal combination of sections for evaluating the novelty of a paper is important for advancing automated novelty assessment. In this paper, we utilize different combinations of sections from academic papers as inputs to dri","authors_text":"Chengzhi Zhang, Tong Bao, Wenqing Wu, Yi Zhao","cross_cats":["cs.AI","cs.DL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T07:34:59Z","title":"SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16330","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":"sha256:2f3120e58fa7bf3f28406b1105badf677f1cdbe5f5327a1513bce9212bb0342e","target":"record","created_at":"2026-07-05T11:07:33Z","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":"0a6b246c0d5e6af7fad66aba70403c88dfe6ca16780458c024d1d96640a6ef9d","cross_cats_sorted":["cs.AI","cs.DL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T07:34:59Z","title_canon_sha256":"ac2cf1db7a46c49f9a87a2e82349d382eb812619592e86d6a5c7aa760f59293b"},"schema_version":"1.0","source":{"id":"2505.16330","kind":"arxiv","version":1}},"canonical_sha256":"ed277b8871d89db55ec3cdfdbd04c04cbc356834d3e806a6982eb0d4814063f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed277b8871d89db55ec3cdfdbd04c04cbc356834d3e806a6982eb0d4814063f0","first_computed_at":"2026-07-05T11:07:33.824578Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:33.824578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mTn44kgk+1Wu2JiqpZSsVbhhFvuENx8M4iM1Zp6f9hMUuhvTKSrsJGGn82YI9WqxoiuucjuA/lAfazEbrv81Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:33.825036Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16330","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f3120e58fa7bf3f28406b1105badf677f1cdbe5f5327a1513bce9212bb0342e","sha256:c160c6782599b2e1faf21581e770fd7858b6ce2390d858069c29d0d1d4a418da"],"state_sha256":"b597e75e9a9886690600703a6c21bf09bde16f0e059f1a815fa580fa909765e5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZTcr1YOKhQ0H9FXe8F74c9XwD3ia7R7PMfXMlgt9HoO1EoZIBxn69DsB/PDsaRyXr8NN2OmVvCZBZtiDJlyUBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T20:55:08.784835Z","bundle_sha256":"b198c3c702c8e3d690b1fc9256647f5362ce9019deed14a65bc9079bd8144068"}}