{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TUP4VW6QD2ELLOYGXM2IAV76UW","short_pith_number":"pith:TUP4VW6Q","canonical_record":{"source":{"id":"2406.11073","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-16T21:02:02Z","cross_cats_sorted":[],"title_canon_sha256":"eeb06bb6f9266036268fbf8eec30bcc65eb9fe4c2dc92d89c7b2d18267a3e34d","abstract_canon_sha256":"ff37534ba189c645ed1c02f1c5649c58c754fe70d81007421f3977ecab381dda"},"schema_version":"1.0"},"canonical_sha256":"9d1fcadbd01e88b5bb06bb348057fea59bff07899a1ca521f723ad2450bf6a59","source":{"kind":"arxiv","id":"2406.11073","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11073","created_at":"2026-07-05T09:47:55Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11073v2","created_at":"2026-07-05T09:47:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11073","created_at":"2026-07-05T09:47:55Z"},{"alias_kind":"pith_short_12","alias_value":"TUP4VW6QD2EL","created_at":"2026-07-05T09:47:55Z"},{"alias_kind":"pith_short_16","alias_value":"TUP4VW6QD2ELLOYG","created_at":"2026-07-05T09:47:55Z"},{"alias_kind":"pith_short_8","alias_value":"TUP4VW6Q","created_at":"2026-07-05T09:47:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TUP4VW6QD2ELLOYGXM2IAV76UW","target":"record","payload":{"canonical_record":{"source":{"id":"2406.11073","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-16T21:02:02Z","cross_cats_sorted":[],"title_canon_sha256":"eeb06bb6f9266036268fbf8eec30bcc65eb9fe4c2dc92d89c7b2d18267a3e34d","abstract_canon_sha256":"ff37534ba189c645ed1c02f1c5649c58c754fe70d81007421f3977ecab381dda"},"schema_version":"1.0"},"canonical_sha256":"9d1fcadbd01e88b5bb06bb348057fea59bff07899a1ca521f723ad2450bf6a59","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:47:55.581475Z","signature_b64":"0rct7NV9VP8AVP7SAZNTWFygMp6++5Elzw7xDh+7suvpLb86haOyeJ0EDMMYeydgZ+C9+ognJCUPuUIcaM+yDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9d1fcadbd01e88b5bb06bb348057fea59bff07899a1ca521f723ad2450bf6a59","last_reissued_at":"2026-07-05T09:47:55.581032Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:47:55.581032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.11073","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:47:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/+E/jfn40lIIiLbTixeta4h/Y3LD1mIsGXuaLhc+D7QeLCF4qmwUojAMvidy60bR5BcnPQCjWcDXJDeFmH/FDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:08:42.416874Z"},"content_sha256":"600cd38f4b84264d304c8319979a55f91b475d908de08ef1014c3e49ff62c5cb","schema_version":"1.0","event_id":"sha256:600cd38f4b84264d304c8319979a55f91b475d908de08ef1014c3e49ff62c5cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TUP4VW6QD2ELLOYGXM2IAV76UW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring the Limitations of Detecting Machine-Generated Text","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hawau Olamide Toyin, Jad Doughman, Osama Mohammed Afzal, Preslav Nakov, Shady Shehata, Zeerak Talat","submitted_at":"2024-06-16T21:02:02Z","abstract_excerpt":"Recent improvements in the quality of the generations by large language models have spurred research into identifying machine-generated text. Such work often presents high-performing detectors. However, humans and machines can produce text in different styles and domains, yet the performance impact of such on machine generated text detection systems remains unclear. In this paper, we audit the classification performance for detecting machine-generated text by evaluating on texts with varying writing styles. We find that classifiers are highly sensitive to stylistic changes and differences in t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11073","kind":"arxiv","version":2},"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/2406.11073/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":"2026-07-05T09:47:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XmS7nzjW+DETE/iBwZCs1/crolbMqOMznYcpYOW+QI740XGSENVV0Ka0zmU5jSHd9QsOZ78akI6ALxkAlxb3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:08:42.417241Z"},"content_sha256":"f1006e49f77ad9906b4153d65c63f6ea112695eff35c74746e9cfa773c239645","schema_version":"1.0","event_id":"sha256:f1006e49f77ad9906b4153d65c63f6ea112695eff35c74746e9cfa773c239645"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TUP4VW6QD2ELLOYGXM2IAV76UW/bundle.json","state_url":"https://pith.science/pith/TUP4VW6QD2ELLOYGXM2IAV76UW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TUP4VW6QD2ELLOYGXM2IAV76UW/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":"2026-07-06T18:08:42Z","links":{"resolver":"https://pith.science/pith/TUP4VW6QD2ELLOYGXM2IAV76UW","bundle":"https://pith.science/pith/TUP4VW6QD2ELLOYGXM2IAV76UW/bundle.json","state":"https://pith.science/pith/TUP4VW6QD2ELLOYGXM2IAV76UW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TUP4VW6QD2ELLOYGXM2IAV76UW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TUP4VW6QD2ELLOYGXM2IAV76UW","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":"ff37534ba189c645ed1c02f1c5649c58c754fe70d81007421f3977ecab381dda","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-16T21:02:02Z","title_canon_sha256":"eeb06bb6f9266036268fbf8eec30bcc65eb9fe4c2dc92d89c7b2d18267a3e34d"},"schema_version":"1.0","source":{"id":"2406.11073","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11073","created_at":"2026-07-05T09:47:55Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11073v2","created_at":"2026-07-05T09:47:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11073","created_at":"2026-07-05T09:47:55Z"},{"alias_kind":"pith_short_12","alias_value":"TUP4VW6QD2EL","created_at":"2026-07-05T09:47:55Z"},{"alias_kind":"pith_short_16","alias_value":"TUP4VW6QD2ELLOYG","created_at":"2026-07-05T09:47:55Z"},{"alias_kind":"pith_short_8","alias_value":"TUP4VW6Q","created_at":"2026-07-05T09:47:55Z"}],"graph_snapshots":[{"event_id":"sha256:f1006e49f77ad9906b4153d65c63f6ea112695eff35c74746e9cfa773c239645","target":"graph","created_at":"2026-07-05T09:47:55Z","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/2406.11073/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent improvements in the quality of the generations by large language models have spurred research into identifying machine-generated text. Such work often presents high-performing detectors. However, humans and machines can produce text in different styles and domains, yet the performance impact of such on machine generated text detection systems remains unclear. In this paper, we audit the classification performance for detecting machine-generated text by evaluating on texts with varying writing styles. We find that classifiers are highly sensitive to stylistic changes and differences in t","authors_text":"Hawau Olamide Toyin, Jad Doughman, Osama Mohammed Afzal, Preslav Nakov, Shady Shehata, Zeerak Talat","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-16T21:02:02Z","title":"Exploring the Limitations of Detecting Machine-Generated Text"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11073","kind":"arxiv","version":2},"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":"sha256:600cd38f4b84264d304c8319979a55f91b475d908de08ef1014c3e49ff62c5cb","target":"record","created_at":"2026-07-05T09:47:55Z","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":"ff37534ba189c645ed1c02f1c5649c58c754fe70d81007421f3977ecab381dda","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-16T21:02:02Z","title_canon_sha256":"eeb06bb6f9266036268fbf8eec30bcc65eb9fe4c2dc92d89c7b2d18267a3e34d"},"schema_version":"1.0","source":{"id":"2406.11073","kind":"arxiv","version":2}},"canonical_sha256":"9d1fcadbd01e88b5bb06bb348057fea59bff07899a1ca521f723ad2450bf6a59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d1fcadbd01e88b5bb06bb348057fea59bff07899a1ca521f723ad2450bf6a59","first_computed_at":"2026-07-05T09:47:55.581032Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:55.581032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0rct7NV9VP8AVP7SAZNTWFygMp6++5Elzw7xDh+7suvpLb86haOyeJ0EDMMYeydgZ+C9+ognJCUPuUIcaM+yDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:55.581475Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.11073","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:600cd38f4b84264d304c8319979a55f91b475d908de08ef1014c3e49ff62c5cb","sha256:f1006e49f77ad9906b4153d65c63f6ea112695eff35c74746e9cfa773c239645"],"state_sha256":"60a1480b3902dc6341122056812f910a0233a02c80b16cc075817a0c1edf851f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f8uNLefFt6yO8reg/yo/cXwa1W55KgNOti9z6qKlfD0LIPNGurrTAtb4hi95R/3SVry/CEwDECUfGUoQzfE2AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:08:42.419174Z","bundle_sha256":"b8d846fcf10ad88da1067ec646396abb60e297093b60336b41992a6b577d2719"}}