{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:V7XSEE4ITB6ANG4ZXFVSAHD4RE","short_pith_number":"pith:V7XSEE4I","canonical_record":{"source":{"id":"2112.10453","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-20T11:27:48Z","cross_cats_sorted":[],"title_canon_sha256":"4f853c39cd869509f00965b6593f509037daf5ad1491c4c31ed084035eb80830","abstract_canon_sha256":"c7c6b977e8945d8f693dbd71a18f9a09760680d0dd7baa2f73fb3447f254abe8"},"schema_version":"1.0"},"canonical_sha256":"afef221388987c069b99b96b201c7c8905f3fa0dac3ded73a29c6ae56ce04d85","source":{"kind":"arxiv","id":"2112.10453","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.10453","created_at":"2026-07-05T03:42:25Z"},{"alias_kind":"arxiv_version","alias_value":"2112.10453v2","created_at":"2026-07-05T03:42:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.10453","created_at":"2026-07-05T03:42:25Z"},{"alias_kind":"pith_short_12","alias_value":"V7XSEE4ITB6A","created_at":"2026-07-05T03:42:25Z"},{"alias_kind":"pith_short_16","alias_value":"V7XSEE4ITB6ANG4Z","created_at":"2026-07-05T03:42:25Z"},{"alias_kind":"pith_short_8","alias_value":"V7XSEE4I","created_at":"2026-07-05T03:42:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:V7XSEE4ITB6ANG4ZXFVSAHD4RE","target":"record","payload":{"canonical_record":{"source":{"id":"2112.10453","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-20T11:27:48Z","cross_cats_sorted":[],"title_canon_sha256":"4f853c39cd869509f00965b6593f509037daf5ad1491c4c31ed084035eb80830","abstract_canon_sha256":"c7c6b977e8945d8f693dbd71a18f9a09760680d0dd7baa2f73fb3447f254abe8"},"schema_version":"1.0"},"canonical_sha256":"afef221388987c069b99b96b201c7c8905f3fa0dac3ded73a29c6ae56ce04d85","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:42:25.788551Z","signature_b64":"hQTQam2b/nbUly+ChagTa7402guGOD2imrGTgSVDXl2aqulYjqm8YetAp5QUN+cgdvcJNHvyMG6E7yl91WINAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"afef221388987c069b99b96b201c7c8905f3fa0dac3ded73a29c6ae56ce04d85","last_reissued_at":"2026-07-05T03:42:25.788104Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:42:25.788104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.10453","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:42:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hs7bSd5CIHzHm1zXv3pKWX/eaX4CFEfrG/m5txk8Z31EQ98YDaFK/PbJezH4aK52PuMM4DKbmWnU6HkgyF8QCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:05:49.918127Z"},"content_sha256":"c33c3e4ce8e8447b4c2c98ae4c69891d14f9ac4fb227c66460e77e8c590b76df","schema_version":"1.0","event_id":"sha256:c33c3e4ce8e8447b4c2c98ae4c69891d14f9ac4fb227c66460e77e8c590b76df"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:V7XSEE4ITB6ANG4ZXFVSAHD4RE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning with Label Noise for Image Retrieval by Selecting Interactions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Arnaud Sors, Rafael Sampaio de Rezende, Sarah Ibrahimi, St\\'ephane Clinchant","submitted_at":"2021-12-20T11:27:48Z","abstract_excerpt":"Learning with noisy labels is an active research area for image classification. However, the effect of noisy labels on image retrieval has been less studied. In this work, we propose a noise-resistant method for image retrieval named Teacher-based Selection of Interactions, T-SINT, which identifies noisy interactions, ie. elements in the distance matrix, and selects correct positive and negative interactions to be considered in the retrieval loss by using a teacher-based training setup which contributes to the stability. As a result, it consistently outperforms state-of-the-art methods on high"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.10453","kind":"arxiv","version":2},"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/2112.10453/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":"2026-07-05T03:42:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1UOhURpiv26oy4sFd1ZJToOyoEV3lt2NLslS2JEbEa2fqBEJVl8MIXrbngzIepGLp6FRj+ML359u6qtg5FcyDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:05:49.918514Z"},"content_sha256":"2d66f9bd3900ab608b8b9460ce4ee59d0a3b83cceeca4bd24b15e7cfdb382e49","schema_version":"1.0","event_id":"sha256:2d66f9bd3900ab608b8b9460ce4ee59d0a3b83cceeca4bd24b15e7cfdb382e49"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V7XSEE4ITB6ANG4ZXFVSAHD4RE/bundle.json","state_url":"https://pith.science/pith/V7XSEE4ITB6ANG4ZXFVSAHD4RE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V7XSEE4ITB6ANG4ZXFVSAHD4RE/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":"2026-07-09T05:05:49Z","links":{"resolver":"https://pith.science/pith/V7XSEE4ITB6ANG4ZXFVSAHD4RE","bundle":"https://pith.science/pith/V7XSEE4ITB6ANG4ZXFVSAHD4RE/bundle.json","state":"https://pith.science/pith/V7XSEE4ITB6ANG4ZXFVSAHD4RE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V7XSEE4ITB6ANG4ZXFVSAHD4RE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:V7XSEE4ITB6ANG4ZXFVSAHD4RE","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":"c7c6b977e8945d8f693dbd71a18f9a09760680d0dd7baa2f73fb3447f254abe8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-20T11:27:48Z","title_canon_sha256":"4f853c39cd869509f00965b6593f509037daf5ad1491c4c31ed084035eb80830"},"schema_version":"1.0","source":{"id":"2112.10453","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.10453","created_at":"2026-07-05T03:42:25Z"},{"alias_kind":"arxiv_version","alias_value":"2112.10453v2","created_at":"2026-07-05T03:42:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.10453","created_at":"2026-07-05T03:42:25Z"},{"alias_kind":"pith_short_12","alias_value":"V7XSEE4ITB6A","created_at":"2026-07-05T03:42:25Z"},{"alias_kind":"pith_short_16","alias_value":"V7XSEE4ITB6ANG4Z","created_at":"2026-07-05T03:42:25Z"},{"alias_kind":"pith_short_8","alias_value":"V7XSEE4I","created_at":"2026-07-05T03:42:25Z"}],"graph_snapshots":[{"event_id":"sha256:2d66f9bd3900ab608b8b9460ce4ee59d0a3b83cceeca4bd24b15e7cfdb382e49","target":"graph","created_at":"2026-07-05T03:42:25Z","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/2112.10453/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning with noisy labels is an active research area for image classification. However, the effect of noisy labels on image retrieval has been less studied. In this work, we propose a noise-resistant method for image retrieval named Teacher-based Selection of Interactions, T-SINT, which identifies noisy interactions, ie. elements in the distance matrix, and selects correct positive and negative interactions to be considered in the retrieval loss by using a teacher-based training setup which contributes to the stability. As a result, it consistently outperforms state-of-the-art methods on high","authors_text":"Arnaud Sors, Rafael Sampaio de Rezende, Sarah Ibrahimi, St\\'ephane Clinchant","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-20T11:27:48Z","title":"Learning with Label Noise for Image Retrieval by Selecting Interactions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.10453","kind":"arxiv","version":2},"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:c33c3e4ce8e8447b4c2c98ae4c69891d14f9ac4fb227c66460e77e8c590b76df","target":"record","created_at":"2026-07-05T03:42:25Z","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":"c7c6b977e8945d8f693dbd71a18f9a09760680d0dd7baa2f73fb3447f254abe8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-20T11:27:48Z","title_canon_sha256":"4f853c39cd869509f00965b6593f509037daf5ad1491c4c31ed084035eb80830"},"schema_version":"1.0","source":{"id":"2112.10453","kind":"arxiv","version":2}},"canonical_sha256":"afef221388987c069b99b96b201c7c8905f3fa0dac3ded73a29c6ae56ce04d85","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"afef221388987c069b99b96b201c7c8905f3fa0dac3ded73a29c6ae56ce04d85","first_computed_at":"2026-07-05T03:42:25.788104Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:42:25.788104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hQTQam2b/nbUly+ChagTa7402guGOD2imrGTgSVDXl2aqulYjqm8YetAp5QUN+cgdvcJNHvyMG6E7yl91WINAg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:42:25.788551Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.10453","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c33c3e4ce8e8447b4c2c98ae4c69891d14f9ac4fb227c66460e77e8c590b76df","sha256:2d66f9bd3900ab608b8b9460ce4ee59d0a3b83cceeca4bd24b15e7cfdb382e49"],"state_sha256":"9ebd5c1623b09e318563e5044422d46a8c587232619ee0ae4e112f0e222eb920"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PeS58qhItDBIwHi/r/k+VGMP2y773OgDSr2WycmGQ7nQe58isgrJo1QhBAE0G6nAjmXuk10QXlOOxC80sp2XCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:05:49.920508Z","bundle_sha256":"290913e40cfe477a2dc2438757d2f659c3ef7f03a74d9f8921cb01243abb26de"}}