{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:QREJ7T5GCBXAU4HJ7JOONKUBZJ","short_pith_number":"pith:QREJ7T5G","schema_version":"1.0","canonical_sha256":"84489fcfa6106e0a70e9fa5ce6aa81ca73415402e5ac16d981624cc35c58d7f5","source":{"kind":"arxiv","id":"2304.06607","version":7},"attestation_state":"computed","paper":{"title":"False Claims against Model Ownership Resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Jian Liu, Kui Ren, N. Asokan, Rui Zhang, Sebastian Szyller","submitted_at":"2023-04-13T15:19:12Z","abstract_excerpt":"Deep neural network (DNN) models are valuable intellectual property of model owners, constituting a competitive advantage. Therefore, it is crucial to develop techniques to protect against model theft. Model ownership resolution (MOR) is a class of techniques that can deter model theft. A MOR scheme enables an accuser to assert an ownership claim for a suspect model by presenting evidence, such as a watermark or fingerprint, to show that the suspect model was stolen or derived from a source model owned by the accuser. Most of the existing MOR schemes prioritize robustness against malicious sus"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2304.06607","kind":"arxiv","version":7},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-04-13T15:19:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e042fa90c0d0b98210eead9c043ec90c598d3674aa6badcab22719d8c1901450","abstract_canon_sha256":"73f1ddedf04a2ec361a5935963117f6ebc0a3d8d76391a7485c0a2235ab11d26"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:06:10.839479Z","signature_b64":"y8eo4r4OmOu5lFARa4G+BExrNdue7XlXnLRdHkmX9WLs0BwhsTHSmRcYzvlgpPU9JGdyHSpZDYjWSj31z8mKDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84489fcfa6106e0a70e9fa5ce6aa81ca73415402e5ac16d981624cc35c58d7f5","last_reissued_at":"2026-07-05T08:06:10.839032Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:06:10.839032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"False Claims against Model Ownership Resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Jian Liu, Kui Ren, N. Asokan, Rui Zhang, Sebastian Szyller","submitted_at":"2023-04-13T15:19:12Z","abstract_excerpt":"Deep neural network (DNN) models are valuable intellectual property of model owners, constituting a competitive advantage. Therefore, it is crucial to develop techniques to protect against model theft. Model ownership resolution (MOR) is a class of techniques that can deter model theft. A MOR scheme enables an accuser to assert an ownership claim for a suspect model by presenting evidence, such as a watermark or fingerprint, to show that the suspect model was stolen or derived from a source model owned by the accuser. Most of the existing MOR schemes prioritize robustness against malicious sus"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.06607","kind":"arxiv","version":7},"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/2304.06607/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2304.06607","created_at":"2026-07-05T08:06:10.839088+00:00"},{"alias_kind":"arxiv_version","alias_value":"2304.06607v7","created_at":"2026-07-05T08:06:10.839088+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.06607","created_at":"2026-07-05T08:06:10.839088+00:00"},{"alias_kind":"pith_short_12","alias_value":"QREJ7T5GCBXA","created_at":"2026-07-05T08:06:10.839088+00:00"},{"alias_kind":"pith_short_16","alias_value":"QREJ7T5GCBXAU4HJ","created_at":"2026-07-05T08:06:10.839088+00:00"},{"alias_kind":"pith_short_8","alias_value":"QREJ7T5G","created_at":"2026-07-05T08:06:10.839088+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QREJ7T5GCBXAU4HJ7JOONKUBZJ","json":"https://pith.science/pith/QREJ7T5GCBXAU4HJ7JOONKUBZJ.json","graph_json":"https://pith.science/api/pith-number/QREJ7T5GCBXAU4HJ7JOONKUBZJ/graph.json","events_json":"https://pith.science/api/pith-number/QREJ7T5GCBXAU4HJ7JOONKUBZJ/events.json","paper":"https://pith.science/paper/QREJ7T5G"},"agent_actions":{"view_html":"https://pith.science/pith/QREJ7T5GCBXAU4HJ7JOONKUBZJ","download_json":"https://pith.science/pith/QREJ7T5GCBXAU4HJ7JOONKUBZJ.json","view_paper":"https://pith.science/paper/QREJ7T5G","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2304.06607&json=true","fetch_graph":"https://pith.science/api/pith-number/QREJ7T5GCBXAU4HJ7JOONKUBZJ/graph.json","fetch_events":"https://pith.science/api/pith-number/QREJ7T5GCBXAU4HJ7JOONKUBZJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QREJ7T5GCBXAU4HJ7JOONKUBZJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QREJ7T5GCBXAU4HJ7JOONKUBZJ/action/storage_attestation","attest_author":"https://pith.science/pith/QREJ7T5GCBXAU4HJ7JOONKUBZJ/action/author_attestation","sign_citation":"https://pith.science/pith/QREJ7T5GCBXAU4HJ7JOONKUBZJ/action/citation_signature","submit_replication":"https://pith.science/pith/QREJ7T5GCBXAU4HJ7JOONKUBZJ/action/replication_record"}},"created_at":"2026-07-05T08:06:10.839088+00:00","updated_at":"2026-07-05T08:06:10.839088+00:00"}