{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2V2LHOY26NTYWRRKJOAWH6KCEB","short_pith_number":"pith:2V2LHOY2","canonical_record":{"source":{"id":"2405.10629","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-17T08:44:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3d748f1407b0745536673126f0751f440849d0f691f3712cb656433d5eef7b68","abstract_canon_sha256":"75432d229078cdecbdcc95eb3a4209e0b771fdda7b8d50e0ea8f6a3f7b15b102"},"schema_version":"1.0"},"canonical_sha256":"d574b3bb1af3678b462a4b8163f9422072f607f529a01c1ba13abcef36d88889","source":{"kind":"arxiv","id":"2405.10629","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.10629","created_at":"2026-07-05T08:20:14Z"},{"alias_kind":"arxiv_version","alias_value":"2405.10629v1","created_at":"2026-07-05T08:20:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.10629","created_at":"2026-07-05T08:20:14Z"},{"alias_kind":"pith_short_12","alias_value":"2V2LHOY26NTY","created_at":"2026-07-05T08:20:14Z"},{"alias_kind":"pith_short_16","alias_value":"2V2LHOY26NTYWRRK","created_at":"2026-07-05T08:20:14Z"},{"alias_kind":"pith_short_8","alias_value":"2V2LHOY2","created_at":"2026-07-05T08:20:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2V2LHOY26NTYWRRKJOAWH6KCEB","target":"record","payload":{"canonical_record":{"source":{"id":"2405.10629","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-17T08:44:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3d748f1407b0745536673126f0751f440849d0f691f3712cb656433d5eef7b68","abstract_canon_sha256":"75432d229078cdecbdcc95eb3a4209e0b771fdda7b8d50e0ea8f6a3f7b15b102"},"schema_version":"1.0"},"canonical_sha256":"d574b3bb1af3678b462a4b8163f9422072f607f529a01c1ba13abcef36d88889","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:20:14.682330Z","signature_b64":"Vv9uzbkhE6Q4TSq7JXG1xCVdA/FkBHCK+ShQztoZmUI9v/a42LxRjtFHW19DKUUs3PG7DzZRz0oUh85ST3k4BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d574b3bb1af3678b462a4b8163f9422072f607f529a01c1ba13abcef36d88889","last_reissued_at":"2026-07-05T08:20:14.681737Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:20:14.681737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.10629","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":"2026-07-05T08:20:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w8wn50vLFYRtbQGvC/syaLTXs14b5YacEmrWYh5TlXO9Cb70QZYR1TAbfTWAqIeXfTLzy3o6Gy3lnpqUwByPCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T03:52:50.525376Z"},"content_sha256":"1dcded5f01fcb5b219d055272ec9591e6f4f80b8d7d4a7958551cdab23804ccb","schema_version":"1.0","event_id":"sha256:1dcded5f01fcb5b219d055272ec9591e6f4f80b8d7d4a7958551cdab23804ccb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2V2LHOY26NTYWRRKJOAWH6KCEB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated Texts","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Anastasia Voznyuk, Vasily Konovalov","submitted_at":"2024-05-17T08:44:48Z","abstract_excerpt":"The Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection shared task in the SemEval-2024 competition aims to tackle the problem of misusing collaborative human-AI writing. Although there are a lot of existing detectors of AI content, they are often designed to give a binary answer and thus may not be suitable for more nuanced problem of finding the boundaries between human-written and machine-generated texts, while hybrid human-AI writing becomes more and more popular. In this paper, we address the boundary detection problem. Particularly, we present a pipel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.10629","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/2405.10629/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":"2026-07-05T08:20:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/EAunnR7HhCvsMEJd6asE1ucUR9wHworSQNH8HV6sp1k1GFl/8eiihdYnn7HUA6g95zp3kTKqkykiJ5SSvnvDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T03:52:50.525781Z"},"content_sha256":"b8d697cdba0777295d0da742ac5b932146bd3319c40956d887542872fbea4570","schema_version":"1.0","event_id":"sha256:b8d697cdba0777295d0da742ac5b932146bd3319c40956d887542872fbea4570"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2V2LHOY26NTYWRRKJOAWH6KCEB/bundle.json","state_url":"https://pith.science/pith/2V2LHOY26NTYWRRKJOAWH6KCEB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2V2LHOY26NTYWRRKJOAWH6KCEB/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":"2026-07-12T03:52:50Z","links":{"resolver":"https://pith.science/pith/2V2LHOY26NTYWRRKJOAWH6KCEB","bundle":"https://pith.science/pith/2V2LHOY26NTYWRRKJOAWH6KCEB/bundle.json","state":"https://pith.science/pith/2V2LHOY26NTYWRRKJOAWH6KCEB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2V2LHOY26NTYWRRKJOAWH6KCEB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2V2LHOY26NTYWRRKJOAWH6KCEB","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":"75432d229078cdecbdcc95eb3a4209e0b771fdda7b8d50e0ea8f6a3f7b15b102","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-17T08:44:48Z","title_canon_sha256":"3d748f1407b0745536673126f0751f440849d0f691f3712cb656433d5eef7b68"},"schema_version":"1.0","source":{"id":"2405.10629","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.10629","created_at":"2026-07-05T08:20:14Z"},{"alias_kind":"arxiv_version","alias_value":"2405.10629v1","created_at":"2026-07-05T08:20:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.10629","created_at":"2026-07-05T08:20:14Z"},{"alias_kind":"pith_short_12","alias_value":"2V2LHOY26NTY","created_at":"2026-07-05T08:20:14Z"},{"alias_kind":"pith_short_16","alias_value":"2V2LHOY26NTYWRRK","created_at":"2026-07-05T08:20:14Z"},{"alias_kind":"pith_short_8","alias_value":"2V2LHOY2","created_at":"2026-07-05T08:20:14Z"}],"graph_snapshots":[{"event_id":"sha256:b8d697cdba0777295d0da742ac5b932146bd3319c40956d887542872fbea4570","target":"graph","created_at":"2026-07-05T08:20:14Z","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/2405.10629/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection shared task in the SemEval-2024 competition aims to tackle the problem of misusing collaborative human-AI writing. Although there are a lot of existing detectors of AI content, they are often designed to give a binary answer and thus may not be suitable for more nuanced problem of finding the boundaries between human-written and machine-generated texts, while hybrid human-AI writing becomes more and more popular. In this paper, we address the boundary detection problem. Particularly, we present a pipel","authors_text":"Anastasia Voznyuk, Vasily Konovalov","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-17T08:44:48Z","title":"DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated Texts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.10629","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":"sha256:1dcded5f01fcb5b219d055272ec9591e6f4f80b8d7d4a7958551cdab23804ccb","target":"record","created_at":"2026-07-05T08:20:14Z","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":"75432d229078cdecbdcc95eb3a4209e0b771fdda7b8d50e0ea8f6a3f7b15b102","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-17T08:44:48Z","title_canon_sha256":"3d748f1407b0745536673126f0751f440849d0f691f3712cb656433d5eef7b68"},"schema_version":"1.0","source":{"id":"2405.10629","kind":"arxiv","version":1}},"canonical_sha256":"d574b3bb1af3678b462a4b8163f9422072f607f529a01c1ba13abcef36d88889","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d574b3bb1af3678b462a4b8163f9422072f607f529a01c1ba13abcef36d88889","first_computed_at":"2026-07-05T08:20:14.681737Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:14.681737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vv9uzbkhE6Q4TSq7JXG1xCVdA/FkBHCK+ShQztoZmUI9v/a42LxRjtFHW19DKUUs3PG7DzZRz0oUh85ST3k4BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:14.682330Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.10629","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1dcded5f01fcb5b219d055272ec9591e6f4f80b8d7d4a7958551cdab23804ccb","sha256:b8d697cdba0777295d0da742ac5b932146bd3319c40956d887542872fbea4570"],"state_sha256":"5988e1f99d3f07d49a70efd479d5902d42d98e3e42abf33012b09da5915db740"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aSIA3RD+IgEuiWHYzkITqQpu/CUT08/ppCwf132fRfkcxZVhpgKTlkvQv9xDuba2xAtu+o9T1GBG8uYkFG1/Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T03:52:50.527962Z","bundle_sha256":"3b59f7c725a70cfb7520a3fcc58adadcb515f3ba1d4bedd224ace90a6bfa154c"}}