{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TXK3IUA6QXH4NTTO2GWMR5XGAF","short_pith_number":"pith:TXK3IUA6","canonical_record":{"source":{"id":"2312.15571","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-25T00:30:23Z","cross_cats_sorted":[],"title_canon_sha256":"a8cac885a0d16be6f115ec180d90c6ac49cb1637624407a1b00248aece870f4b","abstract_canon_sha256":"00198e4235129bf60a0dcbc5fa57e8c693d7127f3f44f6447c087695dd41bc2e"},"schema_version":"1.0"},"canonical_sha256":"9dd5b4501e85cfc6ce6ed1acc8f6e60154f51d28932ef8d9b5bfca4c8f9e989d","source":{"kind":"arxiv","id":"2312.15571","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.15571","created_at":"2026-07-05T07:27:58Z"},{"alias_kind":"arxiv_version","alias_value":"2312.15571v1","created_at":"2026-07-05T07:27:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.15571","created_at":"2026-07-05T07:27:58Z"},{"alias_kind":"pith_short_12","alias_value":"TXK3IUA6QXH4","created_at":"2026-07-05T07:27:58Z"},{"alias_kind":"pith_short_16","alias_value":"TXK3IUA6QXH4NTTO","created_at":"2026-07-05T07:27:58Z"},{"alias_kind":"pith_short_8","alias_value":"TXK3IUA6","created_at":"2026-07-05T07:27:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TXK3IUA6QXH4NTTO2GWMR5XGAF","target":"record","payload":{"canonical_record":{"source":{"id":"2312.15571","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-25T00:30:23Z","cross_cats_sorted":[],"title_canon_sha256":"a8cac885a0d16be6f115ec180d90c6ac49cb1637624407a1b00248aece870f4b","abstract_canon_sha256":"00198e4235129bf60a0dcbc5fa57e8c693d7127f3f44f6447c087695dd41bc2e"},"schema_version":"1.0"},"canonical_sha256":"9dd5b4501e85cfc6ce6ed1acc8f6e60154f51d28932ef8d9b5bfca4c8f9e989d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:27:58.204017Z","signature_b64":"G/IPMY4FyhH090peM4pcdNKphyL9SCxik0FC3HU4PYuoZ9CSGQqJKB5WKpaazMpu8WCdTgm/NCMrVXQnR3zmBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9dd5b4501e85cfc6ce6ed1acc8f6e60154f51d28932ef8d9b5bfca4c8f9e989d","last_reissued_at":"2026-07-05T07:27:58.203537Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:27:58.203537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.15571","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":"2026-07-05T07:27:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fGV1mzGMmMJz4vd2AgXV6OSO7CuLE2XL9+iyKiv85NH6721+cRXD8Mh3ws5Lr4mB9o6HD9HrL2PxkP2gxuTqAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:38:12.037382Z"},"content_sha256":"d92e6c6f4046aa3024341f571527a9b24e51c9b6f83d8dbb991eba9f2489585c","schema_version":"1.0","event_id":"sha256:d92e6c6f4046aa3024341f571527a9b24e51c9b6f83d8dbb991eba9f2489585c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TXK3IUA6QXH4NTTO2GWMR5XGAF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on Open-Set Image Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiayin Sun, Qiulei Dong","submitted_at":"2023-12-25T00:30:23Z","abstract_excerpt":"Open-set image recognition (OSR) aims to both classify known-class samples and identify unknown-class samples in the testing set, which supports robust classifiers in many realistic applications, such as autonomous driving, medical diagnosis, security monitoring, etc. In recent years, open-set recognition methods have achieved more and more attention, since it is usually difficult to obtain holistic information about the open world for model training. In this paper, we aim to summarize the up-to-date development of recent OSR methods, considering their rapid development in recent two or three "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.15571","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/2312.15571/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":"2026-07-05T07:27:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m2cZvoPeBgd5GAbI1exE2jLQgKmMQVg17ELrxN1Wc+mrqv4wU169C8PR3Xm6tXfzvVqNDBEpjysssWS0pTM6BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:38:12.038333Z"},"content_sha256":"81c3ccef59dfe80ba0c8edd3f3bf83c19958dc5a8135956111cf29a21dc8eb55","schema_version":"1.0","event_id":"sha256:81c3ccef59dfe80ba0c8edd3f3bf83c19958dc5a8135956111cf29a21dc8eb55"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TXK3IUA6QXH4NTTO2GWMR5XGAF/bundle.json","state_url":"https://pith.science/pith/TXK3IUA6QXH4NTTO2GWMR5XGAF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TXK3IUA6QXH4NTTO2GWMR5XGAF/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":"2026-08-10T02:38:12Z","links":{"resolver":"https://pith.science/pith/TXK3IUA6QXH4NTTO2GWMR5XGAF","bundle":"https://pith.science/pith/TXK3IUA6QXH4NTTO2GWMR5XGAF/bundle.json","state":"https://pith.science/pith/TXK3IUA6QXH4NTTO2GWMR5XGAF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TXK3IUA6QXH4NTTO2GWMR5XGAF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TXK3IUA6QXH4NTTO2GWMR5XGAF","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":"00198e4235129bf60a0dcbc5fa57e8c693d7127f3f44f6447c087695dd41bc2e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-25T00:30:23Z","title_canon_sha256":"a8cac885a0d16be6f115ec180d90c6ac49cb1637624407a1b00248aece870f4b"},"schema_version":"1.0","source":{"id":"2312.15571","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.15571","created_at":"2026-07-05T07:27:58Z"},{"alias_kind":"arxiv_version","alias_value":"2312.15571v1","created_at":"2026-07-05T07:27:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.15571","created_at":"2026-07-05T07:27:58Z"},{"alias_kind":"pith_short_12","alias_value":"TXK3IUA6QXH4","created_at":"2026-07-05T07:27:58Z"},{"alias_kind":"pith_short_16","alias_value":"TXK3IUA6QXH4NTTO","created_at":"2026-07-05T07:27:58Z"},{"alias_kind":"pith_short_8","alias_value":"TXK3IUA6","created_at":"2026-07-05T07:27:58Z"}],"graph_snapshots":[{"event_id":"sha256:81c3ccef59dfe80ba0c8edd3f3bf83c19958dc5a8135956111cf29a21dc8eb55","target":"graph","created_at":"2026-07-05T07:27:58Z","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/2312.15571/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Open-set image recognition (OSR) aims to both classify known-class samples and identify unknown-class samples in the testing set, which supports robust classifiers in many realistic applications, such as autonomous driving, medical diagnosis, security monitoring, etc. In recent years, open-set recognition methods have achieved more and more attention, since it is usually difficult to obtain holistic information about the open world for model training. In this paper, we aim to summarize the up-to-date development of recent OSR methods, considering their rapid development in recent two or three ","authors_text":"Jiayin Sun, Qiulei Dong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-25T00:30:23Z","title":"A Survey on Open-Set Image Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.15571","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:d92e6c6f4046aa3024341f571527a9b24e51c9b6f83d8dbb991eba9f2489585c","target":"record","created_at":"2026-07-05T07:27:58Z","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":"00198e4235129bf60a0dcbc5fa57e8c693d7127f3f44f6447c087695dd41bc2e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-25T00:30:23Z","title_canon_sha256":"a8cac885a0d16be6f115ec180d90c6ac49cb1637624407a1b00248aece870f4b"},"schema_version":"1.0","source":{"id":"2312.15571","kind":"arxiv","version":1}},"canonical_sha256":"9dd5b4501e85cfc6ce6ed1acc8f6e60154f51d28932ef8d9b5bfca4c8f9e989d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9dd5b4501e85cfc6ce6ed1acc8f6e60154f51d28932ef8d9b5bfca4c8f9e989d","first_computed_at":"2026-07-05T07:27:58.203537Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:27:58.203537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G/IPMY4FyhH090peM4pcdNKphyL9SCxik0FC3HU4PYuoZ9CSGQqJKB5WKpaazMpu8WCdTgm/NCMrVXQnR3zmBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:27:58.204017Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.15571","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d92e6c6f4046aa3024341f571527a9b24e51c9b6f83d8dbb991eba9f2489585c","sha256:81c3ccef59dfe80ba0c8edd3f3bf83c19958dc5a8135956111cf29a21dc8eb55"],"state_sha256":"37c4814e544c4b8d1673ab077489b6fd4a4f6fc414bd1f817a1c8160a5913540"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"27zkLWTmavcJ73CYF0/rFeSWO6KeusgxR82vZO5a5dRJbgF93fd8ao24hRQfWOJU9MpGKLQTdqXM2stF7VxKCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T02:38:12.045354Z","bundle_sha256":"06fbd385ee1f39ce4d46e6b1fababba7c5b9e907caab3ca3752bbae09f81afaa"}}