{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JVRCF4SJPGI422JRIPGZALZS64","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":"f2c65a7142f0846ecdf2fb2bb8720481fc23a860fc080e635fb0020e54021a28","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-04T06:45:47Z","title_canon_sha256":"f29a76b5731f7354811d19fc78d20b1f9fcfaac2c23255ad503a9d1169a5dd6f"},"schema_version":"1.0","source":{"id":"2312.01672","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.01672","created_at":"2026-07-05T07:19:58Z"},{"alias_kind":"arxiv_version","alias_value":"2312.01672v1","created_at":"2026-07-05T07:19:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.01672","created_at":"2026-07-05T07:19:58Z"},{"alias_kind":"pith_short_12","alias_value":"JVRCF4SJPGI4","created_at":"2026-07-05T07:19:58Z"},{"alias_kind":"pith_short_16","alias_value":"JVRCF4SJPGI422JR","created_at":"2026-07-05T07:19:58Z"},{"alias_kind":"pith_short_8","alias_value":"JVRCF4SJ","created_at":"2026-07-05T07:19:58Z"}],"graph_snapshots":[{"event_id":"sha256:cfd3df22731bb93d20da7caea362aa230d343c94ffdd55be78dfa6c251fc9971","target":"graph","created_at":"2026-07-05T07:19:58Z","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/2312.01672/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present STADEE, a \\textbf{STA}tistics-based \\textbf{DEE}p detection method to identify machine-generated text, addressing the limitations of current methods that rely heavily on fine-tuning pre-trained language models (PLMs). STADEE integrates key statistical text features with a deep classifier, focusing on aspects like token probability and cumulative probability, crucial for handling nucleus sampling. Tested across diverse datasets and scenarios (in-domain, out-of-domain, and in-the-wild), STADEE demonstrates superior performance, achieving an 87.05% F1 score in-domain and outperforming ","authors_text":"Huming Liu, Zheng Chen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-04T06:45:47Z","title":"STADEE: STAtistics-based DEEp Detection of Machine Generated Text"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.01672","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":"sha256:05318b21a68bc7f2f4d9ac4cf833e7059f2421a9a6e4441338dbbad0f84ed823","target":"record","created_at":"2026-07-05T07:19:58Z","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":"f2c65a7142f0846ecdf2fb2bb8720481fc23a860fc080e635fb0020e54021a28","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-04T06:45:47Z","title_canon_sha256":"f29a76b5731f7354811d19fc78d20b1f9fcfaac2c23255ad503a9d1169a5dd6f"},"schema_version":"1.0","source":{"id":"2312.01672","kind":"arxiv","version":1}},"canonical_sha256":"4d6222f2497991cd693143cd902f32f716cc5de3db69fa7f30fc6272eb4307bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4d6222f2497991cd693143cd902f32f716cc5de3db69fa7f30fc6272eb4307bf","first_computed_at":"2026-07-05T07:19:58.020201Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:19:58.020201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DIU/N6EiE2tbsRg22oB3/84VbQDuH84rXoza/0RSn01gEaPtVmP3T319Now4XZmfBEmjaLlrAHi+YL6T3N6hCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:19:58.020593Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.01672","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05318b21a68bc7f2f4d9ac4cf833e7059f2421a9a6e4441338dbbad0f84ed823","sha256:cfd3df22731bb93d20da7caea362aa230d343c94ffdd55be78dfa6c251fc9971"],"state_sha256":"369bbdaee872ff2a14bb4eda8a88f5eafa8c25390593f17c183ca4a2059edd9e"}