{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5DNHB4FEYX33K2ME227LKDTKKD","short_pith_number":"pith:5DNHB4FE","canonical_record":{"source":{"id":"2607.21057","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T08:42:25Z","cross_cats_sorted":[],"title_canon_sha256":"074901466c8ba038309fcfc50445b2954ff394681d34a423d00bebfd2a097278","abstract_canon_sha256":"2c11845ba1ed8ce1297793227196c1471d94366438404f2602694ffe6a0953a9"},"schema_version":"1.0"},"canonical_sha256":"e8da70f0a4c5f7b56984d6beb50e6a50ce4031b4f9198b6ff9fe5479f5dad4fd","source":{"kind":"arxiv","id":"2607.21057","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21057","created_at":"2026-07-24T01:23:49Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21057v1","created_at":"2026-07-24T01:23:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21057","created_at":"2026-07-24T01:23:49Z"},{"alias_kind":"pith_short_12","alias_value":"5DNHB4FEYX33","created_at":"2026-07-24T01:23:49Z"},{"alias_kind":"pith_short_16","alias_value":"5DNHB4FEYX33K2ME","created_at":"2026-07-24T01:23:49Z"},{"alias_kind":"pith_short_8","alias_value":"5DNHB4FE","created_at":"2026-07-24T01:23:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5DNHB4FEYX33K2ME227LKDTKKD","target":"record","payload":{"canonical_record":{"source":{"id":"2607.21057","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T08:42:25Z","cross_cats_sorted":[],"title_canon_sha256":"074901466c8ba038309fcfc50445b2954ff394681d34a423d00bebfd2a097278","abstract_canon_sha256":"2c11845ba1ed8ce1297793227196c1471d94366438404f2602694ffe6a0953a9"},"schema_version":"1.0"},"canonical_sha256":"e8da70f0a4c5f7b56984d6beb50e6a50ce4031b4f9198b6ff9fe5479f5dad4fd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-24T01:23:49.534325Z","signature_b64":"VY81qXlDvGvkjANVi4QB8Q8q+tZDR/X4sdZWm5uKM8Wca2RAY2OLeVfoihYkqokYwIBvb/rlRksCZ1hsXlx/Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8da70f0a4c5f7b56984d6beb50e6a50ce4031b4f9198b6ff9fe5479f5dad4fd","last_reissued_at":"2026-07-24T01:23:49.533452Z","signature_status":"signed_v1","first_computed_at":"2026-07-24T01:23:49.533452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.21057","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":"2026-07-24T01:23:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yklWfIpRQQ90H0esjnKIibXyjvzlO1suQF4eaYCnuL/Ff9d1fbClk1s9ggwV7CadsyW55DPfR3b/MZ5bazOABQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:20:52.452539Z"},"content_sha256":"9e7e08c64bc79fdb7cb374868df43e9e1fc993cdb68a586f68745c03602a73bd","schema_version":"1.0","event_id":"sha256:9e7e08c64bc79fdb7cb374868df43e9e1fc993cdb68a586f68745c03602a73bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5DNHB4FEYX33K2ME227LKDTKKD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Achieving Text-based Person Retrieval with Any Granularity","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changxin Gao, Dongyue Wu, Hanyu Zhou, Jialong Zuo, Mengdan Tan, Nong Sang, Xiang Bai, Yongtai Deng","submitted_at":"2026-07-23T08:42:25Z","abstract_excerpt":"Text-based person retrieval faces a critical but under-explored challenge: the inherent uncertainty of query granularity in real-world scenarios. This paper introduces a new paradigm, Text-based Person Retrieval with Any Granularity, and provides a systematic solution. First, we formalize a five-level granularity spectrum and construct UFine6926-MG, a high-quality multi-grained dataset annotated comprehensively at all granularities via a novel Multi-grained Text Annotation Engine. Second, acknowledging that coarse queries naturally correspond to multiple valid candidates, we propose MG-Eval, a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21057","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/2607.21057/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":"2026-07-24T01:23:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q8yyxg0ZQAnQIJLJbTQzzQcg1b8poRz4CHxig+7q6mKNMqHK6L39W4SW4RP1wTxUAEnK7TrlOtYDSoT0V5p1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:20:52.453062Z"},"content_sha256":"db9f47e3ce6afe8efddc5cab5471fec11a16f857cbc4976bf9fc7c4812858702","schema_version":"1.0","event_id":"sha256:db9f47e3ce6afe8efddc5cab5471fec11a16f857cbc4976bf9fc7c4812858702"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5DNHB4FEYX33K2ME227LKDTKKD/bundle.json","state_url":"https://pith.science/pith/5DNHB4FEYX33K2ME227LKDTKKD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5DNHB4FEYX33K2ME227LKDTKKD/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":"2026-08-08T09:20:52Z","links":{"resolver":"https://pith.science/pith/5DNHB4FEYX33K2ME227LKDTKKD","bundle":"https://pith.science/pith/5DNHB4FEYX33K2ME227LKDTKKD/bundle.json","state":"https://pith.science/pith/5DNHB4FEYX33K2ME227LKDTKKD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5DNHB4FEYX33K2ME227LKDTKKD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5DNHB4FEYX33K2ME227LKDTKKD","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":"2c11845ba1ed8ce1297793227196c1471d94366438404f2602694ffe6a0953a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T08:42:25Z","title_canon_sha256":"074901466c8ba038309fcfc50445b2954ff394681d34a423d00bebfd2a097278"},"schema_version":"1.0","source":{"id":"2607.21057","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21057","created_at":"2026-07-24T01:23:49Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21057v1","created_at":"2026-07-24T01:23:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21057","created_at":"2026-07-24T01:23:49Z"},{"alias_kind":"pith_short_12","alias_value":"5DNHB4FEYX33","created_at":"2026-07-24T01:23:49Z"},{"alias_kind":"pith_short_16","alias_value":"5DNHB4FEYX33K2ME","created_at":"2026-07-24T01:23:49Z"},{"alias_kind":"pith_short_8","alias_value":"5DNHB4FE","created_at":"2026-07-24T01:23:49Z"}],"graph_snapshots":[{"event_id":"sha256:db9f47e3ce6afe8efddc5cab5471fec11a16f857cbc4976bf9fc7c4812858702","target":"graph","created_at":"2026-07-24T01:23:49Z","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/2607.21057/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-based person retrieval faces a critical but under-explored challenge: the inherent uncertainty of query granularity in real-world scenarios. This paper introduces a new paradigm, Text-based Person Retrieval with Any Granularity, and provides a systematic solution. First, we formalize a five-level granularity spectrum and construct UFine6926-MG, a high-quality multi-grained dataset annotated comprehensively at all granularities via a novel Multi-grained Text Annotation Engine. Second, acknowledging that coarse queries naturally correspond to multiple valid candidates, we propose MG-Eval, a","authors_text":"Changxin Gao, Dongyue Wu, Hanyu Zhou, Jialong Zuo, Mengdan Tan, Nong Sang, Xiang Bai, Yongtai Deng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T08:42:25Z","title":"Achieving Text-based Person Retrieval with Any Granularity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21057","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":"sha256:9e7e08c64bc79fdb7cb374868df43e9e1fc993cdb68a586f68745c03602a73bd","target":"record","created_at":"2026-07-24T01:23:49Z","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":"2c11845ba1ed8ce1297793227196c1471d94366438404f2602694ffe6a0953a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T08:42:25Z","title_canon_sha256":"074901466c8ba038309fcfc50445b2954ff394681d34a423d00bebfd2a097278"},"schema_version":"1.0","source":{"id":"2607.21057","kind":"arxiv","version":1}},"canonical_sha256":"e8da70f0a4c5f7b56984d6beb50e6a50ce4031b4f9198b6ff9fe5479f5dad4fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e8da70f0a4c5f7b56984d6beb50e6a50ce4031b4f9198b6ff9fe5479f5dad4fd","first_computed_at":"2026-07-24T01:23:49.533452Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-24T01:23:49.533452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VY81qXlDvGvkjANVi4QB8Q8q+tZDR/X4sdZWm5uKM8Wca2RAY2OLeVfoihYkqokYwIBvb/rlRksCZ1hsXlx/Cw==","signature_status":"signed_v1","signed_at":"2026-07-24T01:23:49.534325Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.21057","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e7e08c64bc79fdb7cb374868df43e9e1fc993cdb68a586f68745c03602a73bd","sha256:db9f47e3ce6afe8efddc5cab5471fec11a16f857cbc4976bf9fc7c4812858702"],"state_sha256":"0e6d486b2499bcab11a7cd910197f043e5711855ac14a7137d575ea3e7d3cbb5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wz1WcIoBaMsyXtqmcm3IMP9Eu0zgDIOTC8gw5tCJXcv8uStlnHIWMsuP034LHtfl6PCWfBpes0brk0GkaBBKAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:20:52.458103Z","bundle_sha256":"10069bdf4bc224da41328ff375f2d0a042910ee541cb5dab980670c5ef665d1f"}}