{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AIGHHOMCLUOXYVKDUL25ORW2IW","short_pith_number":"pith:AIGHHOMC","canonical_record":{"source":{"id":"2505.13855","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-20T03:02:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b7fa4a81621ed18a116567788a2dd8a91a45e26b4f5434b0b347ee74dada4edd","abstract_canon_sha256":"2fa6191174b91e18c9cba548a3461a2fe5cd761a2a7e3e9fd519002569901ca7"},"schema_version":"1.0"},"canonical_sha256":"020c73b9825d1d7c5543a2f5d746da4580fd812bc16c121a514980337be9b702","source":{"kind":"arxiv","id":"2505.13855","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13855","created_at":"2026-07-05T11:05:52Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13855v1","created_at":"2026-07-05T11:05:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13855","created_at":"2026-07-05T11:05:52Z"},{"alias_kind":"pith_short_12","alias_value":"AIGHHOMCLUOX","created_at":"2026-07-05T11:05:52Z"},{"alias_kind":"pith_short_16","alias_value":"AIGHHOMCLUOXYVKD","created_at":"2026-07-05T11:05:52Z"},{"alias_kind":"pith_short_8","alias_value":"AIGHHOMC","created_at":"2026-07-05T11:05:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AIGHHOMCLUOXYVKDUL25ORW2IW","target":"record","payload":{"canonical_record":{"source":{"id":"2505.13855","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-20T03:02:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b7fa4a81621ed18a116567788a2dd8a91a45e26b4f5434b0b347ee74dada4edd","abstract_canon_sha256":"2fa6191174b91e18c9cba548a3461a2fe5cd761a2a7e3e9fd519002569901ca7"},"schema_version":"1.0"},"canonical_sha256":"020c73b9825d1d7c5543a2f5d746da4580fd812bc16c121a514980337be9b702","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:05:52.087229Z","signature_b64":"e52mKg/nTCVLIgQ7nBB6U6644xxuPiD6C/AVfvaNeGYcJ7rWD7SfqZncZAhl2zr6uzO2oCIE8mxKK57EP16rDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"020c73b9825d1d7c5543a2f5d746da4580fd812bc16c121a514980337be9b702","last_reissued_at":"2026-07-05T11:05:52.086764Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:05:52.086764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.13855","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":"2026-07-05T11:05:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"klZgT/zezrbXV0V1aXPlqUTHKP14OKGbwtRisAR+N93B5QtKNbo2t/lbYMTYLTqYLSxSeiie3q7j+dJd0oc2Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:17:31.942448Z"},"content_sha256":"46379cc7ea27377a2ea11bbc648a4e1b64df47ddac8147eab21efe9481abb643","schema_version":"1.0","event_id":"sha256:46379cc7ea27377a2ea11bbc648a4e1b64df47ddac8147eab21efe9481abb643"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AIGHHOMCLUOXYVKDUL25ORW2IW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain Gating Ensemble Networks for AI-Generated Text Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Arihant Tripathi, Charis Gao, Chris Callison-Burch, David Zhang, Emma Jin, Julia Zhao, Liam Dugan, Maggie Huan, Peter Zhang","submitted_at":"2025-05-20T03:02:05Z","abstract_excerpt":"As state-of-the-art language models continue to improve, the need for robust detection of machine-generated text becomes increasingly critical. However, current state-of-the-art machine text detectors struggle to adapt to new unseen domains and generative models. In this paper we present DoGEN (Domain Gating Ensemble Networks), a technique that allows detectors to adapt to unseen domains by ensembling a set of domain expert detector models using weights from a domain classifier. We test DoGEN on a wide variety of domains from leading benchmarks and find that it achieves state-of-the-art perfor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13855","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/2505.13855/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":"2026-07-05T11:05:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GhbOxZsiOZax3M6cHV26tL/UNdYSPWWgyBKS1zUzNM2G8qXhK0sXXYgz0PSHEO4uJgrQiIc/5Q7L0qdY1TvfBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:17:31.942940Z"},"content_sha256":"dbfd4ab3f42044b2c91ae7c47f9906a0c6cca7f9e4b63fad1cbca8b0a02c28c7","schema_version":"1.0","event_id":"sha256:dbfd4ab3f42044b2c91ae7c47f9906a0c6cca7f9e4b63fad1cbca8b0a02c28c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AIGHHOMCLUOXYVKDUL25ORW2IW/bundle.json","state_url":"https://pith.science/pith/AIGHHOMCLUOXYVKDUL25ORW2IW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AIGHHOMCLUOXYVKDUL25ORW2IW/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":"2026-08-05T21:17:31Z","links":{"resolver":"https://pith.science/pith/AIGHHOMCLUOXYVKDUL25ORW2IW","bundle":"https://pith.science/pith/AIGHHOMCLUOXYVKDUL25ORW2IW/bundle.json","state":"https://pith.science/pith/AIGHHOMCLUOXYVKDUL25ORW2IW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AIGHHOMCLUOXYVKDUL25ORW2IW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AIGHHOMCLUOXYVKDUL25ORW2IW","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":"2fa6191174b91e18c9cba548a3461a2fe5cd761a2a7e3e9fd519002569901ca7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-20T03:02:05Z","title_canon_sha256":"b7fa4a81621ed18a116567788a2dd8a91a45e26b4f5434b0b347ee74dada4edd"},"schema_version":"1.0","source":{"id":"2505.13855","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13855","created_at":"2026-07-05T11:05:52Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13855v1","created_at":"2026-07-05T11:05:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13855","created_at":"2026-07-05T11:05:52Z"},{"alias_kind":"pith_short_12","alias_value":"AIGHHOMCLUOX","created_at":"2026-07-05T11:05:52Z"},{"alias_kind":"pith_short_16","alias_value":"AIGHHOMCLUOXYVKD","created_at":"2026-07-05T11:05:52Z"},{"alias_kind":"pith_short_8","alias_value":"AIGHHOMC","created_at":"2026-07-05T11:05:52Z"}],"graph_snapshots":[{"event_id":"sha256:dbfd4ab3f42044b2c91ae7c47f9906a0c6cca7f9e4b63fad1cbca8b0a02c28c7","target":"graph","created_at":"2026-07-05T11:05:52Z","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/2505.13855/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As state-of-the-art language models continue to improve, the need for robust detection of machine-generated text becomes increasingly critical. However, current state-of-the-art machine text detectors struggle to adapt to new unseen domains and generative models. In this paper we present DoGEN (Domain Gating Ensemble Networks), a technique that allows detectors to adapt to unseen domains by ensembling a set of domain expert detector models using weights from a domain classifier. We test DoGEN on a wide variety of domains from leading benchmarks and find that it achieves state-of-the-art perfor","authors_text":"Arihant Tripathi, Charis Gao, Chris Callison-Burch, David Zhang, Emma Jin, Julia Zhao, Liam Dugan, Maggie Huan, Peter Zhang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-20T03:02:05Z","title":"Domain Gating Ensemble Networks for AI-Generated Text Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13855","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":"sha256:46379cc7ea27377a2ea11bbc648a4e1b64df47ddac8147eab21efe9481abb643","target":"record","created_at":"2026-07-05T11:05:52Z","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":"2fa6191174b91e18c9cba548a3461a2fe5cd761a2a7e3e9fd519002569901ca7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-20T03:02:05Z","title_canon_sha256":"b7fa4a81621ed18a116567788a2dd8a91a45e26b4f5434b0b347ee74dada4edd"},"schema_version":"1.0","source":{"id":"2505.13855","kind":"arxiv","version":1}},"canonical_sha256":"020c73b9825d1d7c5543a2f5d746da4580fd812bc16c121a514980337be9b702","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"020c73b9825d1d7c5543a2f5d746da4580fd812bc16c121a514980337be9b702","first_computed_at":"2026-07-05T11:05:52.086764Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:52.086764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e52mKg/nTCVLIgQ7nBB6U6644xxuPiD6C/AVfvaNeGYcJ7rWD7SfqZncZAhl2zr6uzO2oCIE8mxKK57EP16rDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:52.087229Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.13855","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:46379cc7ea27377a2ea11bbc648a4e1b64df47ddac8147eab21efe9481abb643","sha256:dbfd4ab3f42044b2c91ae7c47f9906a0c6cca7f9e4b63fad1cbca8b0a02c28c7"],"state_sha256":"f4211d87236b5e0f0036da4b7c3a3b29868a858724ee24aa26decd06f0e70839"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QVsjc9LTjbY7jhUx/Zjsj4OnM5M4EI3VfNAb8TnzL9HqXQlBFDMpJ1gykTHp5iKdQ8WeUXQ+/fs2ZyGQxYi5CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T21:17:31.947131Z","bundle_sha256":"483ed79688981f57530dc7e15f17826462bfd49c4fdc2d8fd6feaf176604ebd3"}}