{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:H2TSOZAFXZRF5MOYECIIXSHG7Z","short_pith_number":"pith:H2TSOZAF","canonical_record":{"source":{"id":"2109.02244","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-06T05:02:34Z","cross_cats_sorted":[],"title_canon_sha256":"62fce60e472b1ebce4d650200ec34ad4b6adc3c3cf67e1a85da99f442279ff1c","abstract_canon_sha256":"78219eb3bd7634dd59a931fae40ab14a4efe53b5b8fa61a24c0f057f6a5e7186"},"schema_version":"1.0"},"canonical_sha256":"3ea7276405be625eb1d820908bc8e6fe4baae4268192b0d7e7c76cb77abf566f","source":{"kind":"arxiv","id":"2109.02244","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.02244","created_at":"2026-07-05T03:47:53Z"},{"alias_kind":"arxiv_version","alias_value":"2109.02244v2","created_at":"2026-07-05T03:47:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.02244","created_at":"2026-07-05T03:47:53Z"},{"alias_kind":"pith_short_12","alias_value":"H2TSOZAFXZRF","created_at":"2026-07-05T03:47:53Z"},{"alias_kind":"pith_short_16","alias_value":"H2TSOZAFXZRF5MOY","created_at":"2026-07-05T03:47:53Z"},{"alias_kind":"pith_short_8","alias_value":"H2TSOZAF","created_at":"2026-07-05T03:47:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:H2TSOZAFXZRF5MOYECIIXSHG7Z","target":"record","payload":{"canonical_record":{"source":{"id":"2109.02244","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-06T05:02:34Z","cross_cats_sorted":[],"title_canon_sha256":"62fce60e472b1ebce4d650200ec34ad4b6adc3c3cf67e1a85da99f442279ff1c","abstract_canon_sha256":"78219eb3bd7634dd59a931fae40ab14a4efe53b5b8fa61a24c0f057f6a5e7186"},"schema_version":"1.0"},"canonical_sha256":"3ea7276405be625eb1d820908bc8e6fe4baae4268192b0d7e7c76cb77abf566f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:47:53.860559Z","signature_b64":"XtS1c84l5WzoTOocOvjv5rlBM9+bwb12j+YMZ2dbqsqoNiQI3g9I+0/JDrLoVmcMDVle/LGiFm2cBsdlic/9BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ea7276405be625eb1d820908bc8e6fe4baae4268192b0d7e7c76cb77abf566f","last_reissued_at":"2026-07-05T03:47:53.860116Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:47:53.860116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.02244","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":"2026-07-05T03:47:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qf/85Zln+VOBihFReDFk/zh9GK8a2Eu+5vBHLwj2RIthP1YgXDWoDQsS+/wSuGL43b0kgq2pVCswerVoq+/GDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:54:38.308554Z"},"content_sha256":"96adfc2b08374c93a6acbb0734b55007997357ee7793997805ca4c7287abdd86","schema_version":"1.0","event_id":"sha256:96adfc2b08374c93a6acbb0734b55007997357ee7793997805ca4c7287abdd86"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:H2TSOZAFXZRF5MOYECIIXSHG7Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-supervised Product Quantization for Deep Unsupervised Image Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Nam Ik Cho, Young Kyun Jang","submitted_at":"2021-09-06T05:02:34Z","abstract_excerpt":"Supervised deep learning-based hash and vector quantization are enabling fast and large-scale image retrieval systems. By fully exploiting label annotations, they are achieving outstanding retrieval performances compared to the conventional methods. However, it is painstaking to assign labels precisely for a vast amount of training data, and also, the annotation process is error-prone. To tackle these issues, we propose the first deep unsupervised image retrieval method dubbed Self-supervised Product Quantization (SPQ) network, which is label-free and trained in a self-supervised manner. We de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.02244","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/2109.02244/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":"2026-07-05T03:47:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iE0Z0hg8ah+eeuU7BdCk4uDPpVAj06llU2pXrxrTERLZaYYVWVPXu3+CQ3seFCaaozkPbx7Pc71eo41jIIWVCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:54:38.309426Z"},"content_sha256":"ae1990e6526edf6598265548b06aa91a2ef62c2a750a4c4617a8187f239a9d35","schema_version":"1.0","event_id":"sha256:ae1990e6526edf6598265548b06aa91a2ef62c2a750a4c4617a8187f239a9d35"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H2TSOZAFXZRF5MOYECIIXSHG7Z/bundle.json","state_url":"https://pith.science/pith/H2TSOZAFXZRF5MOYECIIXSHG7Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H2TSOZAFXZRF5MOYECIIXSHG7Z/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":"2026-08-04T12:54:38Z","links":{"resolver":"https://pith.science/pith/H2TSOZAFXZRF5MOYECIIXSHG7Z","bundle":"https://pith.science/pith/H2TSOZAFXZRF5MOYECIIXSHG7Z/bundle.json","state":"https://pith.science/pith/H2TSOZAFXZRF5MOYECIIXSHG7Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H2TSOZAFXZRF5MOYECIIXSHG7Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:H2TSOZAFXZRF5MOYECIIXSHG7Z","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":"78219eb3bd7634dd59a931fae40ab14a4efe53b5b8fa61a24c0f057f6a5e7186","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-06T05:02:34Z","title_canon_sha256":"62fce60e472b1ebce4d650200ec34ad4b6adc3c3cf67e1a85da99f442279ff1c"},"schema_version":"1.0","source":{"id":"2109.02244","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.02244","created_at":"2026-07-05T03:47:53Z"},{"alias_kind":"arxiv_version","alias_value":"2109.02244v2","created_at":"2026-07-05T03:47:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.02244","created_at":"2026-07-05T03:47:53Z"},{"alias_kind":"pith_short_12","alias_value":"H2TSOZAFXZRF","created_at":"2026-07-05T03:47:53Z"},{"alias_kind":"pith_short_16","alias_value":"H2TSOZAFXZRF5MOY","created_at":"2026-07-05T03:47:53Z"},{"alias_kind":"pith_short_8","alias_value":"H2TSOZAF","created_at":"2026-07-05T03:47:53Z"}],"graph_snapshots":[{"event_id":"sha256:ae1990e6526edf6598265548b06aa91a2ef62c2a750a4c4617a8187f239a9d35","target":"graph","created_at":"2026-07-05T03:47:53Z","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/2109.02244/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Supervised deep learning-based hash and vector quantization are enabling fast and large-scale image retrieval systems. By fully exploiting label annotations, they are achieving outstanding retrieval performances compared to the conventional methods. However, it is painstaking to assign labels precisely for a vast amount of training data, and also, the annotation process is error-prone. To tackle these issues, we propose the first deep unsupervised image retrieval method dubbed Self-supervised Product Quantization (SPQ) network, which is label-free and trained in a self-supervised manner. We de","authors_text":"Nam Ik Cho, Young Kyun Jang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-06T05:02:34Z","title":"Self-supervised Product Quantization for Deep Unsupervised Image Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.02244","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":"sha256:96adfc2b08374c93a6acbb0734b55007997357ee7793997805ca4c7287abdd86","target":"record","created_at":"2026-07-05T03:47:53Z","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":"78219eb3bd7634dd59a931fae40ab14a4efe53b5b8fa61a24c0f057f6a5e7186","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-06T05:02:34Z","title_canon_sha256":"62fce60e472b1ebce4d650200ec34ad4b6adc3c3cf67e1a85da99f442279ff1c"},"schema_version":"1.0","source":{"id":"2109.02244","kind":"arxiv","version":2}},"canonical_sha256":"3ea7276405be625eb1d820908bc8e6fe4baae4268192b0d7e7c76cb77abf566f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ea7276405be625eb1d820908bc8e6fe4baae4268192b0d7e7c76cb77abf566f","first_computed_at":"2026-07-05T03:47:53.860116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:47:53.860116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XtS1c84l5WzoTOocOvjv5rlBM9+bwb12j+YMZ2dbqsqoNiQI3g9I+0/JDrLoVmcMDVle/LGiFm2cBsdlic/9BA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:47:53.860559Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.02244","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96adfc2b08374c93a6acbb0734b55007997357ee7793997805ca4c7287abdd86","sha256:ae1990e6526edf6598265548b06aa91a2ef62c2a750a4c4617a8187f239a9d35"],"state_sha256":"411fef387a209f9467eaba57a7a45c8ab0efca63fdaa2b237ed9bb20b3fdd658"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1JiImwzsQ0J68A/eZEoXDT/8aB7FGnj44zxxQGm+Q0wgeWqcu698KvhXFcp68C2hsTWb/q/VJq91jtAy+HvKCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:54:38.315897Z","bundle_sha256":"66ad3b95f53ce7316298d6af585e2e7321ea4a6736191ca7549462651c7b96ec"}}