{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZAREFVQ2WTQMMID5KDTWI7HB77","short_pith_number":"pith:ZAREFVQ2","canonical_record":{"source":{"id":"2406.12629","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T13:55:13Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"cf31d8ab92902db1f1326e716b8a18c5d9765cb1bb1621bdabf007dab6e6f479","abstract_canon_sha256":"da6f58e886ca23b89a8a61bb13ba5e7dac5f75c0ffdccf049a059c1c4d67e3ae"},"schema_version":"1.0"},"canonical_sha256":"c82242d61ab4e0c6207d50e7647ce1ffc97cff2a324a988afcda7da740a96cfd","source":{"kind":"arxiv","id":"2406.12629","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12629","created_at":"2026-07-05T09:31:04Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12629v4","created_at":"2026-07-05T09:31:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12629","created_at":"2026-07-05T09:31:04Z"},{"alias_kind":"pith_short_12","alias_value":"ZAREFVQ2WTQM","created_at":"2026-07-05T09:31:04Z"},{"alias_kind":"pith_short_16","alias_value":"ZAREFVQ2WTQMMID5","created_at":"2026-07-05T09:31:04Z"},{"alias_kind":"pith_short_8","alias_value":"ZAREFVQ2","created_at":"2026-07-05T09:31:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZAREFVQ2WTQMMID5KDTWI7HB77","target":"record","payload":{"canonical_record":{"source":{"id":"2406.12629","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T13:55:13Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"cf31d8ab92902db1f1326e716b8a18c5d9765cb1bb1621bdabf007dab6e6f479","abstract_canon_sha256":"da6f58e886ca23b89a8a61bb13ba5e7dac5f75c0ffdccf049a059c1c4d67e3ae"},"schema_version":"1.0"},"canonical_sha256":"c82242d61ab4e0c6207d50e7647ce1ffc97cff2a324a988afcda7da740a96cfd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:31:04.428726Z","signature_b64":"ODyZdPL4DPD6NTZxY8zihNDhFruLLMCS2FkP2tGuP2LRdZR15VD+3uLapv903iTdZ+9kg57Jf8d6KteqavSUCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c82242d61ab4e0c6207d50e7647ce1ffc97cff2a324a988afcda7da740a96cfd","last_reissued_at":"2026-07-05T09:31:04.428233Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:31:04.428233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.12629","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:31:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"54FTlJPo71MrjK0V/MHZiEh5UEffYZ7Tl9uhpVmd+h5njDMKinuFdVnfWCQaSXl0IBF0k0DxFLfQdGMpRvJ2Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T01:18:46.393498Z"},"content_sha256":"1cafbdec4f53d68709b7955f02f8523f7456ca89c76c909d8e22f1a7db8d80e9","schema_version":"1.0","event_id":"sha256:1cafbdec4f53d68709b7955f02f8523f7456ca89c76c909d8e22f1a7db8d80e9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZAREFVQ2WTQMMID5KDTWI7HB77","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.CL","authors_text":"Boya Xiong, Guanhua Chen, Yixia Li, Yun Chen","submitted_at":"2024-06-18T13:55:13Z","abstract_excerpt":"Out-of-distribution (OOD) detection is crucial for the safe deployment of neural networks. Existing CLIP-based approaches perform OOD detection by devising novel scoring functions or sophisticated fine-tuning methods. In this work, we propose SeTAR, a novel, training-free OOD detection method that leverages selective low-rank approximation of weight matrices in vision-language and vision-only models. SeTAR enhances OOD detection via post-hoc modification of the model's weight matrices using a simple greedy search algorithm. Based on SeTAR, we further propose SeTAR+FT, a fine-tuning extension o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12629","kind":"arxiv","version":4},"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/2406.12629/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":"2026-07-05T09:31:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ElSylsPXLcfPBxvSiueEOm2mGGoaOfY9k/+wduAu9Dh7rQnSpi7W7itQiCL7+6B/LpA0x46XZnxNelVF11vyAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T01:18:46.394005Z"},"content_sha256":"f5228bcf0cb85f550ee3321de80ea7aae4f46c59a6f03d3bddd4a8589805c5ba","schema_version":"1.0","event_id":"sha256:f5228bcf0cb85f550ee3321de80ea7aae4f46c59a6f03d3bddd4a8589805c5ba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZAREFVQ2WTQMMID5KDTWI7HB77/bundle.json","state_url":"https://pith.science/pith/ZAREFVQ2WTQMMID5KDTWI7HB77/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZAREFVQ2WTQMMID5KDTWI7HB77/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":"2026-08-19T01:18:46Z","links":{"resolver":"https://pith.science/pith/ZAREFVQ2WTQMMID5KDTWI7HB77","bundle":"https://pith.science/pith/ZAREFVQ2WTQMMID5KDTWI7HB77/bundle.json","state":"https://pith.science/pith/ZAREFVQ2WTQMMID5KDTWI7HB77/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZAREFVQ2WTQMMID5KDTWI7HB77/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZAREFVQ2WTQMMID5KDTWI7HB77","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":"da6f58e886ca23b89a8a61bb13ba5e7dac5f75c0ffdccf049a059c1c4d67e3ae","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T13:55:13Z","title_canon_sha256":"cf31d8ab92902db1f1326e716b8a18c5d9765cb1bb1621bdabf007dab6e6f479"},"schema_version":"1.0","source":{"id":"2406.12629","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12629","created_at":"2026-07-05T09:31:04Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12629v4","created_at":"2026-07-05T09:31:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12629","created_at":"2026-07-05T09:31:04Z"},{"alias_kind":"pith_short_12","alias_value":"ZAREFVQ2WTQM","created_at":"2026-07-05T09:31:04Z"},{"alias_kind":"pith_short_16","alias_value":"ZAREFVQ2WTQMMID5","created_at":"2026-07-05T09:31:04Z"},{"alias_kind":"pith_short_8","alias_value":"ZAREFVQ2","created_at":"2026-07-05T09:31:04Z"}],"graph_snapshots":[{"event_id":"sha256:f5228bcf0cb85f550ee3321de80ea7aae4f46c59a6f03d3bddd4a8589805c5ba","target":"graph","created_at":"2026-07-05T09:31:04Z","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/2406.12629/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Out-of-distribution (OOD) detection is crucial for the safe deployment of neural networks. Existing CLIP-based approaches perform OOD detection by devising novel scoring functions or sophisticated fine-tuning methods. In this work, we propose SeTAR, a novel, training-free OOD detection method that leverages selective low-rank approximation of weight matrices in vision-language and vision-only models. SeTAR enhances OOD detection via post-hoc modification of the model's weight matrices using a simple greedy search algorithm. Based on SeTAR, we further propose SeTAR+FT, a fine-tuning extension o","authors_text":"Boya Xiong, Guanhua Chen, Yixia Li, Yun Chen","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T13:55:13Z","title":"SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12629","kind":"arxiv","version":4},"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":"sha256:1cafbdec4f53d68709b7955f02f8523f7456ca89c76c909d8e22f1a7db8d80e9","target":"record","created_at":"2026-07-05T09:31:04Z","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":"da6f58e886ca23b89a8a61bb13ba5e7dac5f75c0ffdccf049a059c1c4d67e3ae","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T13:55:13Z","title_canon_sha256":"cf31d8ab92902db1f1326e716b8a18c5d9765cb1bb1621bdabf007dab6e6f479"},"schema_version":"1.0","source":{"id":"2406.12629","kind":"arxiv","version":4}},"canonical_sha256":"c82242d61ab4e0c6207d50e7647ce1ffc97cff2a324a988afcda7da740a96cfd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c82242d61ab4e0c6207d50e7647ce1ffc97cff2a324a988afcda7da740a96cfd","first_computed_at":"2026-07-05T09:31:04.428233Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:31:04.428233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ODyZdPL4DPD6NTZxY8zihNDhFruLLMCS2FkP2tGuP2LRdZR15VD+3uLapv903iTdZ+9kg57Jf8d6KteqavSUCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:31:04.428726Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.12629","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1cafbdec4f53d68709b7955f02f8523f7456ca89c76c909d8e22f1a7db8d80e9","sha256:f5228bcf0cb85f550ee3321de80ea7aae4f46c59a6f03d3bddd4a8589805c5ba"],"state_sha256":"46ad416c7320348ea41dedbeeca9993307b3bfb16131979cda2b4d32dffbe7c0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W9+Fg4ZDe5K5Aq/BqbSXtHaqFmgAIdH4zxKZfVRpDdBu6Pjn+mkGor94FjG+HsQt4pzEXlUeTYJqx4tm9RItAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T01:18:46.397806Z","bundle_sha256":"4cd00a7ff66925ad5b0b8fefc7542dace99d6a86dff569ab6e2be553adc191fb"}}