{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:THJUNR52LO2JVY7C6GVI7N7N7R","short_pith_number":"pith:THJUNR52","canonical_record":{"source":{"id":"2407.15376","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2024-07-22T04:56:13Z","cross_cats_sorted":[],"title_canon_sha256":"0bb06e21911f3c75e4f27bf26b259bf7f54c51e0aea0f931210d455544ffc003","abstract_canon_sha256":"dc7b21fb4bd45c935283c0088e9e455976b9bfe2b4c33da4ccd9614cc4b3cf3c"},"schema_version":"1.0"},"canonical_sha256":"99d346c7ba5bb49ae3e2f1aa8fb7edfc4f54bc7caf4bf5bc7d78b0791d6a1227","source":{"kind":"arxiv","id":"2407.15376","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15376","created_at":"2026-07-05T08:46:42Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15376v1","created_at":"2026-07-05T08:46:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15376","created_at":"2026-07-05T08:46:42Z"},{"alias_kind":"pith_short_12","alias_value":"THJUNR52LO2J","created_at":"2026-07-05T08:46:42Z"},{"alias_kind":"pith_short_16","alias_value":"THJUNR52LO2JVY7C","created_at":"2026-07-05T08:46:42Z"},{"alias_kind":"pith_short_8","alias_value":"THJUNR52","created_at":"2026-07-05T08:46:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:THJUNR52LO2JVY7C6GVI7N7N7R","target":"record","payload":{"canonical_record":{"source":{"id":"2407.15376","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2024-07-22T04:56:13Z","cross_cats_sorted":[],"title_canon_sha256":"0bb06e21911f3c75e4f27bf26b259bf7f54c51e0aea0f931210d455544ffc003","abstract_canon_sha256":"dc7b21fb4bd45c935283c0088e9e455976b9bfe2b4c33da4ccd9614cc4b3cf3c"},"schema_version":"1.0"},"canonical_sha256":"99d346c7ba5bb49ae3e2f1aa8fb7edfc4f54bc7caf4bf5bc7d78b0791d6a1227","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:46:42.874926Z","signature_b64":"+gUjVLmG+uGMfR9sVAScfT0iR0Y4czbPATRI+38jE8I0P2Gxg0acjJfjZr4G+pO41Yzi0FQ08d2ctnCtNUAfCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99d346c7ba5bb49ae3e2f1aa8fb7edfc4f54bc7caf4bf5bc7d78b0791d6a1227","last_reissued_at":"2026-07-05T08:46:42.874442Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:46:42.874442Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.15376","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":"2026-07-05T08:46:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1W81uOziA2hxvo1y1nfIjd+hLxhO1B5vM+hF0HXPf1w0Q6x9Xxs+Y4doCALFT3OibCN+mgoxjnK1UocQeYslAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:17:19.130373Z"},"content_sha256":"3a4ea151f116c723e11a7b17d9b70f4085f325fc9bc2d13a8801f9596b755c7f","schema_version":"1.0","event_id":"sha256:3a4ea151f116c723e11a7b17d9b70f4085f325fc9bc2d13a8801f9596b755c7f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:THJUNR52LO2JVY7C6GVI7N7N7R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Structure-Aware Residual-Center Representation for Self-Supervised Open-Set 3D Cross-Modal Retrieval","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Yang Xu, Yifan Feng, Yu Jiang","submitted_at":"2024-07-22T04:56:13Z","abstract_excerpt":"Existing methods of 3D cross-modal retrieval heavily lean on category distribution priors within the training set, which diminishes their efficacy when tasked with unseen categories under open-set environments. To tackle this problem, we propose the Structure-Aware Residual-Center Representation (SRCR) framework for self-supervised open-set 3D cross-modal retrieval. To address the center deviation due to category distribution differences, we utilize the Residual-Center Embedding (RCE) for each object by nested auto-encoders, rather than directly mapping them to the modality or category centers"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15376","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/2407.15376/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":"2026-07-05T08:46:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zUTbneRUakTDXFXuk0a4kJUP/fP+ptD6z36jcoJaaAJk8nzyUoXTNkVKSXgpcMub/stMzZteC+eYhA1O/C+3DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:17:19.131175Z"},"content_sha256":"d530ffae9b9c7240ab80573100332c1e20e09ec06b83a462410afcda3070dea0","schema_version":"1.0","event_id":"sha256:d530ffae9b9c7240ab80573100332c1e20e09ec06b83a462410afcda3070dea0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/THJUNR52LO2JVY7C6GVI7N7N7R/bundle.json","state_url":"https://pith.science/pith/THJUNR52LO2JVY7C6GVI7N7N7R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/THJUNR52LO2JVY7C6GVI7N7N7R/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":"2026-08-07T06:17:19Z","links":{"resolver":"https://pith.science/pith/THJUNR52LO2JVY7C6GVI7N7N7R","bundle":"https://pith.science/pith/THJUNR52LO2JVY7C6GVI7N7N7R/bundle.json","state":"https://pith.science/pith/THJUNR52LO2JVY7C6GVI7N7N7R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/THJUNR52LO2JVY7C6GVI7N7N7R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:THJUNR52LO2JVY7C6GVI7N7N7R","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":"dc7b21fb4bd45c935283c0088e9e455976b9bfe2b4c33da4ccd9614cc4b3cf3c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2024-07-22T04:56:13Z","title_canon_sha256":"0bb06e21911f3c75e4f27bf26b259bf7f54c51e0aea0f931210d455544ffc003"},"schema_version":"1.0","source":{"id":"2407.15376","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15376","created_at":"2026-07-05T08:46:42Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15376v1","created_at":"2026-07-05T08:46:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15376","created_at":"2026-07-05T08:46:42Z"},{"alias_kind":"pith_short_12","alias_value":"THJUNR52LO2J","created_at":"2026-07-05T08:46:42Z"},{"alias_kind":"pith_short_16","alias_value":"THJUNR52LO2JVY7C","created_at":"2026-07-05T08:46:42Z"},{"alias_kind":"pith_short_8","alias_value":"THJUNR52","created_at":"2026-07-05T08:46:42Z"}],"graph_snapshots":[{"event_id":"sha256:d530ffae9b9c7240ab80573100332c1e20e09ec06b83a462410afcda3070dea0","target":"graph","created_at":"2026-07-05T08:46:42Z","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/2407.15376/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing methods of 3D cross-modal retrieval heavily lean on category distribution priors within the training set, which diminishes their efficacy when tasked with unseen categories under open-set environments. To tackle this problem, we propose the Structure-Aware Residual-Center Representation (SRCR) framework for self-supervised open-set 3D cross-modal retrieval. To address the center deviation due to category distribution differences, we utilize the Residual-Center Embedding (RCE) for each object by nested auto-encoders, rather than directly mapping them to the modality or category centers","authors_text":"Yang Xu, Yifan Feng, Yu Jiang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2024-07-22T04:56:13Z","title":"Structure-Aware Residual-Center Representation for Self-Supervised Open-Set 3D Cross-Modal Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15376","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":"sha256:3a4ea151f116c723e11a7b17d9b70f4085f325fc9bc2d13a8801f9596b755c7f","target":"record","created_at":"2026-07-05T08:46:42Z","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":"dc7b21fb4bd45c935283c0088e9e455976b9bfe2b4c33da4ccd9614cc4b3cf3c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2024-07-22T04:56:13Z","title_canon_sha256":"0bb06e21911f3c75e4f27bf26b259bf7f54c51e0aea0f931210d455544ffc003"},"schema_version":"1.0","source":{"id":"2407.15376","kind":"arxiv","version":1}},"canonical_sha256":"99d346c7ba5bb49ae3e2f1aa8fb7edfc4f54bc7caf4bf5bc7d78b0791d6a1227","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"99d346c7ba5bb49ae3e2f1aa8fb7edfc4f54bc7caf4bf5bc7d78b0791d6a1227","first_computed_at":"2026-07-05T08:46:42.874442Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:46:42.874442Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+gUjVLmG+uGMfR9sVAScfT0iR0Y4czbPATRI+38jE8I0P2Gxg0acjJfjZr4G+pO41Yzi0FQ08d2ctnCtNUAfCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:46:42.874926Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.15376","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a4ea151f116c723e11a7b17d9b70f4085f325fc9bc2d13a8801f9596b755c7f","sha256:d530ffae9b9c7240ab80573100332c1e20e09ec06b83a462410afcda3070dea0"],"state_sha256":"3d074d5690a46a5e1c52adb9216e4ef2800e678aa85d158626e27ca76dfe3733"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FLmTtgiXVZbjctb4ElgpzihFxutZrVdoy/+p3yXRUAWBFDF8q3RuMVKKB93Cmvz/3m8M3w6mFxsJwBsKAFEnBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:17:19.135462Z","bundle_sha256":"3e008b02586d3c785302cfffb2750430b8b063b08eaf51dd3a636581bb5a7545"}}