{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HP36UCSN2IERRPYCA3QUTBCJIA","short_pith_number":"pith:HP36UCSN","canonical_record":{"source":{"id":"2606.11689","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T06:06:34Z","cross_cats_sorted":[],"title_canon_sha256":"fc9a37bb568fc2ed3789206008183ad3186b5e7a3f99c07abdf837fd74edddfa","abstract_canon_sha256":"1a5163faf6e3f2ca425a1caa964bdd74da8c741b44a361b68c642ee6a0f76dd1"},"schema_version":"1.0"},"canonical_sha256":"3bf7ea0a4dd20918bf0206e149844940131492a6449f1f586697252e96ea5226","source":{"kind":"arxiv","id":"2606.11689","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11689","created_at":"2026-06-11T01:10:02Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11689v1","created_at":"2026-06-11T01:10:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11689","created_at":"2026-06-11T01:10:02Z"},{"alias_kind":"pith_short_12","alias_value":"HP36UCSN2IER","created_at":"2026-06-11T01:10:02Z"},{"alias_kind":"pith_short_16","alias_value":"HP36UCSN2IERRPYC","created_at":"2026-06-11T01:10:02Z"},{"alias_kind":"pith_short_8","alias_value":"HP36UCSN","created_at":"2026-06-11T01:10:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HP36UCSN2IERRPYCA3QUTBCJIA","target":"record","payload":{"canonical_record":{"source":{"id":"2606.11689","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T06:06:34Z","cross_cats_sorted":[],"title_canon_sha256":"fc9a37bb568fc2ed3789206008183ad3186b5e7a3f99c07abdf837fd74edddfa","abstract_canon_sha256":"1a5163faf6e3f2ca425a1caa964bdd74da8c741b44a361b68c642ee6a0f76dd1"},"schema_version":"1.0"},"canonical_sha256":"3bf7ea0a4dd20918bf0206e149844940131492a6449f1f586697252e96ea5226","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:10:02.907458Z","signature_b64":"63wNRlAmk9nRs11hYWuYXrI7aPKE67h/Ho0BTongD/aLYPvyuZdBFfNR22BXA01+f/yhiF2s9sj9WLJMXjvEBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bf7ea0a4dd20918bf0206e149844940131492a6449f1f586697252e96ea5226","last_reissued_at":"2026-06-11T01:10:02.906572Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:10:02.906572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.11689","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":"2026-06-11T01:10:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5BuDEn3k0k/NLuQJF8s1esxePMmqhJxbf9bEHJBDVyIKAhUwyGUgggA0vyzEKznrMAPPEq2s9/i6QRE3hf70Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T15:04:29.360046Z"},"content_sha256":"1383cf75fb7b7e95e4e040f8eb51a00eeef4b3d474ee11c0b122416aaa085a56","schema_version":"1.0","event_id":"sha256:1383cf75fb7b7e95e4e040f8eb51a00eeef4b3d474ee11c0b122416aaa085a56"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HP36UCSN2IERRPYCA3QUTBCJIA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RankVR: Low-Rank Structure Perception and Value Recalibration for Robust Composed Image Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiale Huang, Qinlei Huang, Yupeng Hu, Zhiheng Fu, Zhiwei Chen, Zixu Li","submitted_at":"2026-06-10T06:06:34Z","abstract_excerpt":"Composed Image Retrieval (CIR) constitutes a pivotal paradigm requiring models to perform joint reasoning on reference images and modification texts. However, the prevalence of Noisy Triplet Correspondence (NTC) in large-scale datasets severely constrains model performance. Existing denoising methods either target binary mismatches or rely on scalar-based point-wise estimation, neglecting rich global structural correlations among sample populations and dynamic value variations during training, thereby yielding suboptimal results. This paper identifies two critical unresolved challenges: Global"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11689","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/2606.11689/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":"2026-06-11T01:10:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cOiSBH/iWjCu5q6I+FTgpCqOsmtaA2sSZwCU/GSSOaki1o6dL5L3w/RLpjnVLK0JPR6NtcO4QtuCmM5P8NE4Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T15:04:29.360432Z"},"content_sha256":"231519b238fbed3a38bee702982406f3e353e2afa9c71b777227ff3a8d6bc3fd","schema_version":"1.0","event_id":"sha256:231519b238fbed3a38bee702982406f3e353e2afa9c71b777227ff3a8d6bc3fd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HP36UCSN2IERRPYCA3QUTBCJIA/bundle.json","state_url":"https://pith.science/pith/HP36UCSN2IERRPYCA3QUTBCJIA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HP36UCSN2IERRPYCA3QUTBCJIA/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":"2026-06-29T15:04:29Z","links":{"resolver":"https://pith.science/pith/HP36UCSN2IERRPYCA3QUTBCJIA","bundle":"https://pith.science/pith/HP36UCSN2IERRPYCA3QUTBCJIA/bundle.json","state":"https://pith.science/pith/HP36UCSN2IERRPYCA3QUTBCJIA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HP36UCSN2IERRPYCA3QUTBCJIA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HP36UCSN2IERRPYCA3QUTBCJIA","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":"1a5163faf6e3f2ca425a1caa964bdd74da8c741b44a361b68c642ee6a0f76dd1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T06:06:34Z","title_canon_sha256":"fc9a37bb568fc2ed3789206008183ad3186b5e7a3f99c07abdf837fd74edddfa"},"schema_version":"1.0","source":{"id":"2606.11689","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11689","created_at":"2026-06-11T01:10:02Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11689v1","created_at":"2026-06-11T01:10:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11689","created_at":"2026-06-11T01:10:02Z"},{"alias_kind":"pith_short_12","alias_value":"HP36UCSN2IER","created_at":"2026-06-11T01:10:02Z"},{"alias_kind":"pith_short_16","alias_value":"HP36UCSN2IERRPYC","created_at":"2026-06-11T01:10:02Z"},{"alias_kind":"pith_short_8","alias_value":"HP36UCSN","created_at":"2026-06-11T01:10:02Z"}],"graph_snapshots":[{"event_id":"sha256:231519b238fbed3a38bee702982406f3e353e2afa9c71b777227ff3a8d6bc3fd","target":"graph","created_at":"2026-06-11T01:10:02Z","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/2606.11689/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Composed Image Retrieval (CIR) constitutes a pivotal paradigm requiring models to perform joint reasoning on reference images and modification texts. However, the prevalence of Noisy Triplet Correspondence (NTC) in large-scale datasets severely constrains model performance. Existing denoising methods either target binary mismatches or rely on scalar-based point-wise estimation, neglecting rich global structural correlations among sample populations and dynamic value variations during training, thereby yielding suboptimal results. This paper identifies two critical unresolved challenges: Global","authors_text":"Jiale Huang, Qinlei Huang, Yupeng Hu, Zhiheng Fu, Zhiwei Chen, Zixu Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T06:06:34Z","title":"RankVR: Low-Rank Structure Perception and Value Recalibration for Robust Composed Image Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11689","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":"sha256:1383cf75fb7b7e95e4e040f8eb51a00eeef4b3d474ee11c0b122416aaa085a56","target":"record","created_at":"2026-06-11T01:10:02Z","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":"1a5163faf6e3f2ca425a1caa964bdd74da8c741b44a361b68c642ee6a0f76dd1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T06:06:34Z","title_canon_sha256":"fc9a37bb568fc2ed3789206008183ad3186b5e7a3f99c07abdf837fd74edddfa"},"schema_version":"1.0","source":{"id":"2606.11689","kind":"arxiv","version":1}},"canonical_sha256":"3bf7ea0a4dd20918bf0206e149844940131492a6449f1f586697252e96ea5226","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3bf7ea0a4dd20918bf0206e149844940131492a6449f1f586697252e96ea5226","first_computed_at":"2026-06-11T01:10:02.906572Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:10:02.906572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"63wNRlAmk9nRs11hYWuYXrI7aPKE67h/Ho0BTongD/aLYPvyuZdBFfNR22BXA01+f/yhiF2s9sj9WLJMXjvEBw==","signature_status":"signed_v1","signed_at":"2026-06-11T01:10:02.907458Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.11689","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1383cf75fb7b7e95e4e040f8eb51a00eeef4b3d474ee11c0b122416aaa085a56","sha256:231519b238fbed3a38bee702982406f3e353e2afa9c71b777227ff3a8d6bc3fd"],"state_sha256":"69a6d2e9e2474c84b89b0e6346e785cb9925497242b8fe8d480ddf914cc10e3b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vfZsP3lMacgcbCe1y/QUJ+BDrBhjPuJIYbru4j7QeV2CbTGhR3YehzkXEmpqbDnbGwYjHjZxxBOAuQ8Qmpw1DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T15:04:29.362362Z","bundle_sha256":"fec3d987e0c585feb4058ddce275428b9332e74f070610dc4ab5600f7fe1ace5"}}