{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:2CNODQY7CPZ2H2OWWXL66K5HFR","short_pith_number":"pith:2CNODQY7","schema_version":"1.0","canonical_sha256":"d09ae1c31f13f3a3e9d6b5d7ef2ba72c6946c0ee0829557d7bbd4ce75454d588","source":{"kind":"arxiv","id":"2303.06877","version":1},"attestation_state":"computed","paper":{"title":"Progressive Open Space Expansion for Open-Set Model Attribution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Danding Wang, Fan Tang, Juan Cao, Sheng Tang, Tianyun Yang, Xinying Zhao","submitted_at":"2023-03-13T05:53:11Z","abstract_excerpt":"Despite the remarkable progress in generative technology, the Janus-faced issues of intellectual property protection and malicious content supervision have arisen. Efforts have been paid to manage synthetic images by attributing them to a set of potential source models. However, the closed-set classification setting limits the application in real-world scenarios for handling contents generated by arbitrary models. In this study, we focus on a challenging task, namely Open-Set Model Attribution (OSMA), to simultaneously attribute images to known models and identify those from unknown ones. Comp"},"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":"2303.06877","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-13T05:53:11Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"9c63b7f6e5627cb3fbbeae826ab9b1a1b3b18e304093ce7813d8628236c3c09d","abstract_canon_sha256":"8e0bdd5b24a6cae4d60c95fc152bb50968d39b395854aa043f9a028a25a4dbae"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:50:33.145753Z","signature_b64":"SdawOqDfwqmwNlS3J/rq4V0zjRONPv8mN/yyGo7FWmKn7qgs6UGhIDflAUxs2Qcl9qtifdoKYAc20Cz8Zy3BBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d09ae1c31f13f3a3e9d6b5d7ef2ba72c6946c0ee0829557d7bbd4ce75454d588","last_reissued_at":"2026-07-05T05:50:33.145283Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:50:33.145283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Progressive Open Space Expansion for Open-Set Model Attribution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Danding Wang, Fan Tang, Juan Cao, Sheng Tang, Tianyun Yang, Xinying Zhao","submitted_at":"2023-03-13T05:53:11Z","abstract_excerpt":"Despite the remarkable progress in generative technology, the Janus-faced issues of intellectual property protection and malicious content supervision have arisen. Efforts have been paid to manage synthetic images by attributing them to a set of potential source models. However, the closed-set classification setting limits the application in real-world scenarios for handling contents generated by arbitrary models. In this study, we focus on a challenging task, namely Open-Set Model Attribution (OSMA), to simultaneously attribute images to known models and identify those from unknown ones. Comp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06877","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/2303.06877/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":"2303.06877","created_at":"2026-07-05T05:50:33.145344+00:00"},{"alias_kind":"arxiv_version","alias_value":"2303.06877v1","created_at":"2026-07-05T05:50:33.145344+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06877","created_at":"2026-07-05T05:50:33.145344+00:00"},{"alias_kind":"pith_short_12","alias_value":"2CNODQY7CPZ2","created_at":"2026-07-05T05:50:33.145344+00:00"},{"alias_kind":"pith_short_16","alias_value":"2CNODQY7CPZ2H2OW","created_at":"2026-07-05T05:50:33.145344+00:00"},{"alias_kind":"pith_short_8","alias_value":"2CNODQY7","created_at":"2026-07-05T05:50:33.145344+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/2CNODQY7CPZ2H2OWWXL66K5HFR","json":"https://pith.science/pith/2CNODQY7CPZ2H2OWWXL66K5HFR.json","graph_json":"https://pith.science/api/pith-number/2CNODQY7CPZ2H2OWWXL66K5HFR/graph.json","events_json":"https://pith.science/api/pith-number/2CNODQY7CPZ2H2OWWXL66K5HFR/events.json","paper":"https://pith.science/paper/2CNODQY7"},"agent_actions":{"view_html":"https://pith.science/pith/2CNODQY7CPZ2H2OWWXL66K5HFR","download_json":"https://pith.science/pith/2CNODQY7CPZ2H2OWWXL66K5HFR.json","view_paper":"https://pith.science/paper/2CNODQY7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2303.06877&json=true","fetch_graph":"https://pith.science/api/pith-number/2CNODQY7CPZ2H2OWWXL66K5HFR/graph.json","fetch_events":"https://pith.science/api/pith-number/2CNODQY7CPZ2H2OWWXL66K5HFR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2CNODQY7CPZ2H2OWWXL66K5HFR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2CNODQY7CPZ2H2OWWXL66K5HFR/action/storage_attestation","attest_author":"https://pith.science/pith/2CNODQY7CPZ2H2OWWXL66K5HFR/action/author_attestation","sign_citation":"https://pith.science/pith/2CNODQY7CPZ2H2OWWXL66K5HFR/action/citation_signature","submit_replication":"https://pith.science/pith/2CNODQY7CPZ2H2OWWXL66K5HFR/action/replication_record"}},"created_at":"2026-07-05T05:50:33.145344+00:00","updated_at":"2026-07-05T05:50:33.145344+00:00"}