{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:VV2ZAY5P2AOPOQPBGUXGX6BPKR","short_pith_number":"pith:VV2ZAY5P","schema_version":"1.0","canonical_sha256":"ad759063afd01cf741e1352e6bf82f5446ec0a26115eecd73030ebb82151ecb0","source":{"kind":"arxiv","id":"2208.00967","version":4},"attestation_state":"computed","paper":{"title":"Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Liu, Feng Zhu, Guojun Yin, Jinyang Huang, Nenghai Yu, Qi Chu, Rui Zhao, Xulin Li, Yan Lu, Yating Liu","submitted_at":"2022-08-01T16:15:31Z","abstract_excerpt":"Graph-based models have achieved great success in person re-identification tasks recently, which compute the graph topology structure (affinities) among different people first and then pass the information across them to achieve stronger features. But we find existing graph-based methods in the visible-infrared person re-identification task (VI-ReID) suffer from bad generalization because of two issues: 1) train-test modality balance gap, which is a property of VI-ReID task. The number of two modalities data are balanced in the training stage, but extremely unbalanced in inference, causing the"},"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":"2208.00967","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-01T16:15:31Z","cross_cats_sorted":[],"title_canon_sha256":"b719c25497f0a2cf6491e063059ca9a8087838b55d8150a6491b0db7ba434722","abstract_canon_sha256":"7c9a8c28e9d29f622fac962c4ffc50304262cbdae5fa4a4b7e6811f62891ddfd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:03:27.821174Z","signature_b64":"lvJdK+UroyGqSpQPMNz8RIfUC1wS4HHB9N13iDLvv1yCelOqGMGCwneiYXVAlCZkhpXWRTy3LjeVHVScA10MDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad759063afd01cf741e1352e6bf82f5446ec0a26115eecd73030ebb82151ecb0","last_reissued_at":"2026-06-02T01:03:27.820776Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:03:27.820776Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Liu, Feng Zhu, Guojun Yin, Jinyang Huang, Nenghai Yu, Qi Chu, Rui Zhao, Xulin Li, Yan Lu, Yating Liu","submitted_at":"2022-08-01T16:15:31Z","abstract_excerpt":"Graph-based models have achieved great success in person re-identification tasks recently, which compute the graph topology structure (affinities) among different people first and then pass the information across them to achieve stronger features. But we find existing graph-based methods in the visible-infrared person re-identification task (VI-ReID) suffer from bad generalization because of two issues: 1) train-test modality balance gap, which is a property of VI-ReID task. The number of two modalities data are balanced in the training stage, but extremely unbalanced in inference, causing the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.00967","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/2208.00967/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":"2208.00967","created_at":"2026-06-02T01:03:27.820831+00:00"},{"alias_kind":"arxiv_version","alias_value":"2208.00967v4","created_at":"2026-06-02T01:03:27.820831+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.00967","created_at":"2026-06-02T01:03:27.820831+00:00"},{"alias_kind":"pith_short_12","alias_value":"VV2ZAY5P2AOP","created_at":"2026-06-02T01:03:27.820831+00:00"},{"alias_kind":"pith_short_16","alias_value":"VV2ZAY5P2AOPOQPB","created_at":"2026-06-02T01:03:27.820831+00:00"},{"alias_kind":"pith_short_8","alias_value":"VV2ZAY5P","created_at":"2026-06-02T01:03:27.820831+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/VV2ZAY5P2AOPOQPBGUXGX6BPKR","json":"https://pith.science/pith/VV2ZAY5P2AOPOQPBGUXGX6BPKR.json","graph_json":"https://pith.science/api/pith-number/VV2ZAY5P2AOPOQPBGUXGX6BPKR/graph.json","events_json":"https://pith.science/api/pith-number/VV2ZAY5P2AOPOQPBGUXGX6BPKR/events.json","paper":"https://pith.science/paper/VV2ZAY5P"},"agent_actions":{"view_html":"https://pith.science/pith/VV2ZAY5P2AOPOQPBGUXGX6BPKR","download_json":"https://pith.science/pith/VV2ZAY5P2AOPOQPBGUXGX6BPKR.json","view_paper":"https://pith.science/paper/VV2ZAY5P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2208.00967&json=true","fetch_graph":"https://pith.science/api/pith-number/VV2ZAY5P2AOPOQPBGUXGX6BPKR/graph.json","fetch_events":"https://pith.science/api/pith-number/VV2ZAY5P2AOPOQPBGUXGX6BPKR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VV2ZAY5P2AOPOQPBGUXGX6BPKR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VV2ZAY5P2AOPOQPBGUXGX6BPKR/action/storage_attestation","attest_author":"https://pith.science/pith/VV2ZAY5P2AOPOQPBGUXGX6BPKR/action/author_attestation","sign_citation":"https://pith.science/pith/VV2ZAY5P2AOPOQPBGUXGX6BPKR/action/citation_signature","submit_replication":"https://pith.science/pith/VV2ZAY5P2AOPOQPBGUXGX6BPKR/action/replication_record"}},"created_at":"2026-06-02T01:03:27.820831+00:00","updated_at":"2026-06-02T01:03:27.820831+00:00"}