{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:F756TADK7N5WBKJXXKLDRLBKZX","short_pith_number":"pith:F756TADK","canonical_record":{"source":{"id":"2303.10126","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-17T17:07:36Z","cross_cats_sorted":[],"title_canon_sha256":"392077b7d20302f98bc810f69ffcb03b127898d3f3406ff1d9285cb14abe4e57","abstract_canon_sha256":"cf1b60b7912a08921086ceb46d9e68bd3ed893eae4dc46ceac3b143637c0b82e"},"schema_version":"1.0"},"canonical_sha256":"2ffbe9806afb7b60a937ba9638ac2acdf0874462a50ea66a809cd5d7305ea522","source":{"kind":"arxiv","id":"2303.10126","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.10126","created_at":"2026-07-05T08:47:45Z"},{"alias_kind":"arxiv_version","alias_value":"2303.10126v4","created_at":"2026-07-05T08:47:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.10126","created_at":"2026-07-05T08:47:45Z"},{"alias_kind":"pith_short_12","alias_value":"F756TADK7N5W","created_at":"2026-07-05T08:47:45Z"},{"alias_kind":"pith_short_16","alias_value":"F756TADK7N5WBKJX","created_at":"2026-07-05T08:47:45Z"},{"alias_kind":"pith_short_8","alias_value":"F756TADK","created_at":"2026-07-05T08:47:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:F756TADK7N5WBKJXXKLDRLBKZX","target":"record","payload":{"canonical_record":{"source":{"id":"2303.10126","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-17T17:07:36Z","cross_cats_sorted":[],"title_canon_sha256":"392077b7d20302f98bc810f69ffcb03b127898d3f3406ff1d9285cb14abe4e57","abstract_canon_sha256":"cf1b60b7912a08921086ceb46d9e68bd3ed893eae4dc46ceac3b143637c0b82e"},"schema_version":"1.0"},"canonical_sha256":"2ffbe9806afb7b60a937ba9638ac2acdf0874462a50ea66a809cd5d7305ea522","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:47:45.414679Z","signature_b64":"k8LxiEx7mZPM5i1/Z7EW9/H1PQWslry37cRNhQzkjpmVAIKvMmrUNBgpjuR4CVhOwZGFjRwlsp0y3lOZu4jRAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ffbe9806afb7b60a937ba9638ac2acdf0874462a50ea66a809cd5d7305ea522","last_reissued_at":"2026-07-05T08:47:45.414110Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:47:45.414110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.10126","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":"2026-07-05T08:47:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K+FDfNYCXZ1CCSBwRH09xEJuAm4XiUoirhxNAJrdXYmWY+riwnTY8K7PIB54xOm/rW1Gt17eBwEnXvToFGwWCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:07:03.379395Z"},"content_sha256":"9e337161f10b9871161d27949d44229c9ac1b5839ee3c9bfc5f26323397546e0","schema_version":"1.0","event_id":"sha256:9e337161f10b9871161d27949d44229c9ac1b5839ee3c9bfc5f26323397546e0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:F756TADK7N5WBKJXXKLDRLBKZX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IRGen: Generative Modeling for Image Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baining Guo, Dong Chen, Fan Yang, Hao Sun, Jingdong Wang, Mao Yang, Qi Chen, Qingmin Liao, Qi Zhang, Ting Zhang, Weiwei Deng, Xing Xie, Yidan Zhang, Yujing Wang","submitted_at":"2023-03-17T17:07:36Z","abstract_excerpt":"While generative modeling has become prevalent across numerous research fields, its integration into the realm of image retrieval remains largely unexplored and underjustified. In this paper, we present a novel methodology, reframing image retrieval as a variant of generative modeling and employing a sequence-to-sequence model. This approach is harmoniously aligned with the current trend towards unification in research, presenting a cohesive framework that allows for end-to-end differentiable searching. This, in turn, facilitates superior performance via direct optimization techniques. The dev"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.10126","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/2303.10126/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":"2026-07-05T08:47:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VScy8gAFzoBQUw4XwnsQ2HUORcr3qOPEJ/p1YOZKh2HjgI0vyT11+qpYhmsvK6rPC1NJlWCZUNUdJXOmnVPmAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:07:03.379758Z"},"content_sha256":"9ed04a2875a634dbd06de07ab633850ede2a96199107fc5fd1fa65085a8c85cf","schema_version":"1.0","event_id":"sha256:9ed04a2875a634dbd06de07ab633850ede2a96199107fc5fd1fa65085a8c85cf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F756TADK7N5WBKJXXKLDRLBKZX/bundle.json","state_url":"https://pith.science/pith/F756TADK7N5WBKJXXKLDRLBKZX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F756TADK7N5WBKJXXKLDRLBKZX/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":"2026-07-07T08:07:03Z","links":{"resolver":"https://pith.science/pith/F756TADK7N5WBKJXXKLDRLBKZX","bundle":"https://pith.science/pith/F756TADK7N5WBKJXXKLDRLBKZX/bundle.json","state":"https://pith.science/pith/F756TADK7N5WBKJXXKLDRLBKZX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F756TADK7N5WBKJXXKLDRLBKZX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:F756TADK7N5WBKJXXKLDRLBKZX","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":"cf1b60b7912a08921086ceb46d9e68bd3ed893eae4dc46ceac3b143637c0b82e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-17T17:07:36Z","title_canon_sha256":"392077b7d20302f98bc810f69ffcb03b127898d3f3406ff1d9285cb14abe4e57"},"schema_version":"1.0","source":{"id":"2303.10126","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.10126","created_at":"2026-07-05T08:47:45Z"},{"alias_kind":"arxiv_version","alias_value":"2303.10126v4","created_at":"2026-07-05T08:47:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.10126","created_at":"2026-07-05T08:47:45Z"},{"alias_kind":"pith_short_12","alias_value":"F756TADK7N5W","created_at":"2026-07-05T08:47:45Z"},{"alias_kind":"pith_short_16","alias_value":"F756TADK7N5WBKJX","created_at":"2026-07-05T08:47:45Z"},{"alias_kind":"pith_short_8","alias_value":"F756TADK","created_at":"2026-07-05T08:47:45Z"}],"graph_snapshots":[{"event_id":"sha256:9ed04a2875a634dbd06de07ab633850ede2a96199107fc5fd1fa65085a8c85cf","target":"graph","created_at":"2026-07-05T08:47:45Z","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/2303.10126/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While generative modeling has become prevalent across numerous research fields, its integration into the realm of image retrieval remains largely unexplored and underjustified. In this paper, we present a novel methodology, reframing image retrieval as a variant of generative modeling and employing a sequence-to-sequence model. This approach is harmoniously aligned with the current trend towards unification in research, presenting a cohesive framework that allows for end-to-end differentiable searching. This, in turn, facilitates superior performance via direct optimization techniques. The dev","authors_text":"Baining Guo, Dong Chen, Fan Yang, Hao Sun, Jingdong Wang, Mao Yang, Qi Chen, Qingmin Liao, Qi Zhang, Ting Zhang, Weiwei Deng, Xing Xie, Yidan Zhang, Yujing Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-17T17:07:36Z","title":"IRGen: Generative Modeling for Image Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.10126","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":"sha256:9e337161f10b9871161d27949d44229c9ac1b5839ee3c9bfc5f26323397546e0","target":"record","created_at":"2026-07-05T08:47:45Z","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":"cf1b60b7912a08921086ceb46d9e68bd3ed893eae4dc46ceac3b143637c0b82e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-17T17:07:36Z","title_canon_sha256":"392077b7d20302f98bc810f69ffcb03b127898d3f3406ff1d9285cb14abe4e57"},"schema_version":"1.0","source":{"id":"2303.10126","kind":"arxiv","version":4}},"canonical_sha256":"2ffbe9806afb7b60a937ba9638ac2acdf0874462a50ea66a809cd5d7305ea522","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ffbe9806afb7b60a937ba9638ac2acdf0874462a50ea66a809cd5d7305ea522","first_computed_at":"2026-07-05T08:47:45.414110Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:45.414110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k8LxiEx7mZPM5i1/Z7EW9/H1PQWslry37cRNhQzkjpmVAIKvMmrUNBgpjuR4CVhOwZGFjRwlsp0y3lOZu4jRAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:45.414679Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.10126","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e337161f10b9871161d27949d44229c9ac1b5839ee3c9bfc5f26323397546e0","sha256:9ed04a2875a634dbd06de07ab633850ede2a96199107fc5fd1fa65085a8c85cf"],"state_sha256":"b3d383ce1492caeb4ef7a38f4795e20b05e9eff82c04c7f67b07719cc166f375"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YdBSU+KLYEWjIaUq+apwqhhfGpK8NlPrpu8A1Zy4Jias+RORT5ADYHJCXyfiXOVdLVFJWIUDR9xUTEH9Nb1lBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:07:03.381666Z","bundle_sha256":"c4b7241ab16590a35d052d503728729491b2aa5cc6b06cf61fd537a26e207a12"}}