{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GSZT57NSPI6EMIUUVK67IVLXB6","short_pith_number":"pith:GSZT57NS","canonical_record":{"source":{"id":"2205.11195","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-23T11:04:09Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"74e855fbc6e94270bdb41421c5518cc4b49ecd51ebc36a7db5dafb896e634ee6","abstract_canon_sha256":"981cd099fbfcd0c514b07db8ae9f184d2af4c5357a18b6ffeced9b9dc865b310"},"schema_version":"1.0"},"canonical_sha256":"34b33efdb27a3c462294aabdf455770fb2b811b38a8803cb46a9b2fa1749d4df","source":{"kind":"arxiv","id":"2205.11195","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.11195","created_at":"2026-07-05T04:25:28Z"},{"alias_kind":"arxiv_version","alias_value":"2205.11195v1","created_at":"2026-07-05T04:25:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.11195","created_at":"2026-07-05T04:25:28Z"},{"alias_kind":"pith_short_12","alias_value":"GSZT57NSPI6E","created_at":"2026-07-05T04:25:28Z"},{"alias_kind":"pith_short_16","alias_value":"GSZT57NSPI6EMIUU","created_at":"2026-07-05T04:25:28Z"},{"alias_kind":"pith_short_8","alias_value":"GSZT57NS","created_at":"2026-07-05T04:25:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GSZT57NSPI6EMIUUVK67IVLXB6","target":"record","payload":{"canonical_record":{"source":{"id":"2205.11195","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-23T11:04:09Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"74e855fbc6e94270bdb41421c5518cc4b49ecd51ebc36a7db5dafb896e634ee6","abstract_canon_sha256":"981cd099fbfcd0c514b07db8ae9f184d2af4c5357a18b6ffeced9b9dc865b310"},"schema_version":"1.0"},"canonical_sha256":"34b33efdb27a3c462294aabdf455770fb2b811b38a8803cb46a9b2fa1749d4df","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:25:28.207729Z","signature_b64":"NIgnAPRK8lFF1LluKRLtkC60igRrKTC6UPMp2IWd8OAE7HxuF7eqkV+dM97Ae4Mh9lMysDOVYAfHOvc7+p2VDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34b33efdb27a3c462294aabdf455770fb2b811b38a8803cb46a9b2fa1749d4df","last_reissued_at":"2026-07-05T04:25:28.207389Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:25:28.207389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.11195","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":"2026-07-05T04:25:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c0ApfG0aE8lvwcxHF2jDYV7Lhh1nGOs4CDVlSMwZpAe8kZpfCf3AbEdJ7OWiOru0GoqbAxuFexbZX5xj9KjQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:46:20.732779Z"},"content_sha256":"8b581ce53fda48840db4630ae96653dcc40c19d4eba4a325d942afb611c8992a","schema_version":"1.0","event_id":"sha256:8b581ce53fda48840db4630ae96653dcc40c19d4eba4a325d942afb611c8992a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GSZT57NSPI6EMIUUVK67IVLXB6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Image Retrieval is not Robust to Label Noise","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Ivan Karpukhin, Sergey Kolesnikov, Stanislav Dereka","submitted_at":"2022-05-23T11:04:09Z","abstract_excerpt":"Large-scale datasets are essential for the success of deep learning in image retrieval. However, manual assessment errors and semi-supervised annotation techniques can lead to label noise even in popular datasets. As previous works primarily studied annotation quality in image classification tasks, it is still unclear how label noise affects deep learning approaches to image retrieval. In this work, we show that image retrieval methods are less robust to label noise than image classification ones. Furthermore, we, for the first time, investigate different types of label noise specific to image"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.11195","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/2205.11195/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":"2026-07-05T04:25:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oh35+hi7lHhiBVNkyXWPvz9m4HJ0VSuoWXwnPI2koZad8t9JBduEB689GJhML9nvD6jLaLMiqlrgPwA3DVkTCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:46:20.733704Z"},"content_sha256":"aa4878e15c4d3e07ea4ea562f172fcc63edeb9465161c9b2891320fe1537baa5","schema_version":"1.0","event_id":"sha256:aa4878e15c4d3e07ea4ea562f172fcc63edeb9465161c9b2891320fe1537baa5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GSZT57NSPI6EMIUUVK67IVLXB6/bundle.json","state_url":"https://pith.science/pith/GSZT57NSPI6EMIUUVK67IVLXB6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GSZT57NSPI6EMIUUVK67IVLXB6/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":"2026-08-03T15:46:20Z","links":{"resolver":"https://pith.science/pith/GSZT57NSPI6EMIUUVK67IVLXB6","bundle":"https://pith.science/pith/GSZT57NSPI6EMIUUVK67IVLXB6/bundle.json","state":"https://pith.science/pith/GSZT57NSPI6EMIUUVK67IVLXB6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GSZT57NSPI6EMIUUVK67IVLXB6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GSZT57NSPI6EMIUUVK67IVLXB6","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":"981cd099fbfcd0c514b07db8ae9f184d2af4c5357a18b6ffeced9b9dc865b310","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-23T11:04:09Z","title_canon_sha256":"74e855fbc6e94270bdb41421c5518cc4b49ecd51ebc36a7db5dafb896e634ee6"},"schema_version":"1.0","source":{"id":"2205.11195","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.11195","created_at":"2026-07-05T04:25:28Z"},{"alias_kind":"arxiv_version","alias_value":"2205.11195v1","created_at":"2026-07-05T04:25:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.11195","created_at":"2026-07-05T04:25:28Z"},{"alias_kind":"pith_short_12","alias_value":"GSZT57NSPI6E","created_at":"2026-07-05T04:25:28Z"},{"alias_kind":"pith_short_16","alias_value":"GSZT57NSPI6EMIUU","created_at":"2026-07-05T04:25:28Z"},{"alias_kind":"pith_short_8","alias_value":"GSZT57NS","created_at":"2026-07-05T04:25:28Z"}],"graph_snapshots":[{"event_id":"sha256:aa4878e15c4d3e07ea4ea562f172fcc63edeb9465161c9b2891320fe1537baa5","target":"graph","created_at":"2026-07-05T04:25:28Z","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/2205.11195/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large-scale datasets are essential for the success of deep learning in image retrieval. However, manual assessment errors and semi-supervised annotation techniques can lead to label noise even in popular datasets. As previous works primarily studied annotation quality in image classification tasks, it is still unclear how label noise affects deep learning approaches to image retrieval. In this work, we show that image retrieval methods are less robust to label noise than image classification ones. Furthermore, we, for the first time, investigate different types of label noise specific to image","authors_text":"Ivan Karpukhin, Sergey Kolesnikov, Stanislav Dereka","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-23T11:04:09Z","title":"Deep Image Retrieval is not Robust to Label Noise"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.11195","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":"sha256:8b581ce53fda48840db4630ae96653dcc40c19d4eba4a325d942afb611c8992a","target":"record","created_at":"2026-07-05T04:25:28Z","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":"981cd099fbfcd0c514b07db8ae9f184d2af4c5357a18b6ffeced9b9dc865b310","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-23T11:04:09Z","title_canon_sha256":"74e855fbc6e94270bdb41421c5518cc4b49ecd51ebc36a7db5dafb896e634ee6"},"schema_version":"1.0","source":{"id":"2205.11195","kind":"arxiv","version":1}},"canonical_sha256":"34b33efdb27a3c462294aabdf455770fb2b811b38a8803cb46a9b2fa1749d4df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34b33efdb27a3c462294aabdf455770fb2b811b38a8803cb46a9b2fa1749d4df","first_computed_at":"2026-07-05T04:25:28.207389Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:25:28.207389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NIgnAPRK8lFF1LluKRLtkC60igRrKTC6UPMp2IWd8OAE7HxuF7eqkV+dM97Ae4Mh9lMysDOVYAfHOvc7+p2VDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:25:28.207729Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.11195","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8b581ce53fda48840db4630ae96653dcc40c19d4eba4a325d942afb611c8992a","sha256:aa4878e15c4d3e07ea4ea562f172fcc63edeb9465161c9b2891320fe1537baa5"],"state_sha256":"80ebd359145d285a6a4618a1a2088d9c13d53c14e319a7d64a421699c12b6578"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1JrbdhyUzUm6zINjJuiNp1Oq3N4Hzc83lB/OEihoBl9ckqniBr8ELrDPr9P/gf5HHuxKFIQVn9lirZ1ryNPaAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:46:20.741606Z","bundle_sha256":"ea8b8aecde6ab4ef639027f2928987d820f2f2c81314280867b5121bf39e5002"}}