{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z6Z3NNSFB6UV62M2MOG4V7PXQC","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":"95872688fed385be9d61ec3c68e32b5a65b116b593e8b14710f7023c8c5c7ab4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-03T14:52:44Z","title_canon_sha256":"de8063b2d3f123cd767695436598fa1f590b4a51f3ebc1af24685f6f8f67a6ae"},"schema_version":"1.0","source":{"id":"2506.02959","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02959","created_at":"2026-07-05T11:15:12Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02959v1","created_at":"2026-07-05T11:15:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02959","created_at":"2026-07-05T11:15:12Z"},{"alias_kind":"pith_short_12","alias_value":"Z6Z3NNSFB6UV","created_at":"2026-07-05T11:15:12Z"},{"alias_kind":"pith_short_16","alias_value":"Z6Z3NNSFB6UV62M2","created_at":"2026-07-05T11:15:12Z"},{"alias_kind":"pith_short_8","alias_value":"Z6Z3NNSF","created_at":"2026-07-05T11:15:12Z"}],"graph_snapshots":[{"event_id":"sha256:c0032e25779e0ccd8ff1714f2f6630d9c3521932744fb759e8af6aca6e76075b","target":"graph","created_at":"2026-07-05T11:15:12Z","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/2506.02959/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The misuse of large language models (LLMs) poses potential risks, motivating the development of machine-generated text (MGT) detection. Existing literature primarily concentrates on binary, document-level detection, thereby neglecting texts that are composed jointly by human and LLM contributions. Hence, this paper explores the possibility of fine-grained MGT detection under human-AI coauthoring. We suggest fine-grained detectors can pave pathways toward coauthored text detection with a numeric AI ratio. Specifically, we propose a dataset, HACo-Det, which produces human-AI coauthored texts via","authors_text":"Herun Wan, Minnan Luo, Yichen Wang, Zhaohan Zhang, Zhixiong Su","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-03T14:52:44Z","title":"HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02959","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":"sha256:88f176221423c9a6c5f7a3c3a9d53a8c8318608ff1ea9d39ae70f88e66ca591e","target":"record","created_at":"2026-07-05T11:15:12Z","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":"95872688fed385be9d61ec3c68e32b5a65b116b593e8b14710f7023c8c5c7ab4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-03T14:52:44Z","title_canon_sha256":"de8063b2d3f123cd767695436598fa1f590b4a51f3ebc1af24685f6f8f67a6ae"},"schema_version":"1.0","source":{"id":"2506.02959","kind":"arxiv","version":1}},"canonical_sha256":"cfb3b6b6450fa95f699a638dcafdf78098f9dcfa61bd4a52bc8b0143a3b6d03e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cfb3b6b6450fa95f699a638dcafdf78098f9dcfa61bd4a52bc8b0143a3b6d03e","first_computed_at":"2026-07-05T11:15:12.454191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:12.454191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SHj1iuZQnDxRG2xMB9TDtt188WC8tnbkBoF3w0+MeDicjtN7gyGHhmmUuwWy7xwS2akD0RpdanJttcO6RJILAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:12.454607Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02959","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88f176221423c9a6c5f7a3c3a9d53a8c8318608ff1ea9d39ae70f88e66ca591e","sha256:c0032e25779e0ccd8ff1714f2f6630d9c3521932744fb759e8af6aca6e76075b"],"state_sha256":"35c436f03b751a05b4dcb4645040e8e8fc341028e4ad6482afed551082c38625"}