{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:EDRC4OE6PZ2DUPSFGSDJPVCNYM","short_pith_number":"pith:EDRC4OE6","canonical_record":{"source":{"id":"2308.05948","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-11T05:46:52Z","cross_cats_sorted":[],"title_canon_sha256":"4b81307b004de47723d971208e935957b4fc451a44803daae8e353efaef515b0","abstract_canon_sha256":"86e91677dd4768044666b4b2c9ae78a776dc603fea632756ff3362dbf7c5dd92"},"schema_version":"1.0"},"canonical_sha256":"20e22e389e7e743a3e45348697d44dc322ce1e708fc21db06a90d275072c2892","source":{"kind":"arxiv","id":"2308.05948","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.05948","created_at":"2026-07-05T06:40:21Z"},{"alias_kind":"arxiv_version","alias_value":"2308.05948v1","created_at":"2026-07-05T06:40:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.05948","created_at":"2026-07-05T06:40:21Z"},{"alias_kind":"pith_short_12","alias_value":"EDRC4OE6PZ2D","created_at":"2026-07-05T06:40:21Z"},{"alias_kind":"pith_short_16","alias_value":"EDRC4OE6PZ2DUPSF","created_at":"2026-07-05T06:40:21Z"},{"alias_kind":"pith_short_8","alias_value":"EDRC4OE6","created_at":"2026-07-05T06:40:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:EDRC4OE6PZ2DUPSFGSDJPVCNYM","target":"record","payload":{"canonical_record":{"source":{"id":"2308.05948","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-11T05:46:52Z","cross_cats_sorted":[],"title_canon_sha256":"4b81307b004de47723d971208e935957b4fc451a44803daae8e353efaef515b0","abstract_canon_sha256":"86e91677dd4768044666b4b2c9ae78a776dc603fea632756ff3362dbf7c5dd92"},"schema_version":"1.0"},"canonical_sha256":"20e22e389e7e743a3e45348697d44dc322ce1e708fc21db06a90d275072c2892","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:40:21.016351Z","signature_b64":"0Wn57m5PijNY9aMtMbJdxTDUBLbTYfWBTM6c2n3IOVrhvzgelY6JnBO1isv031Wbi7iYbmXvQkfLNTRhuyZlCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20e22e389e7e743a3e45348697d44dc322ce1e708fc21db06a90d275072c2892","last_reissued_at":"2026-07-05T06:40:21.015952Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:40:21.015952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.05948","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":"2026-07-05T06:40:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3u3v/MSOaLWqw8gMcEyGhk+j1SI7Sy41wieaplEIRRmVmWdcbAWow+wToVPNtGwA9k5x4tfl3xnyQ3ZzWQsUDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T09:07:30.041659Z"},"content_sha256":"ed04f7561abdd4f87d993d7c03efae52a8e4b529b34bb3c5770bc9564a287aaf","schema_version":"1.0","event_id":"sha256:ed04f7561abdd4f87d993d7c03efae52a8e4b529b34bb3c5770bc9564a287aaf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:EDRC4OE6PZ2DUPSFGSDJPVCNYM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiaming Lu, Jiewen Wang, Shuang Liang, Yiyang Cai","submitted_at":"2023-08-11T05:46:52Z","abstract_excerpt":"In recent years, sketch-based 3D shape retrieval has attracted growing attention. While many previous studies have focused on cross-modal matching between hand-drawn sketches and 3D shapes, the critical issue of how to handle low-quality and noisy samples in sketch data has been largely neglected. This paper presents an uncertainty-aware cross-modal transfer network (UACTN) that addresses this issue. UACTN decouples the representation learning of sketches and 3D shapes into two separate tasks: classification-based sketch uncertainty learning and 3D shape feature transfer. We first introduce an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.05948","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/2308.05948/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":"2026-07-05T06:40:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0QPeDco8Aqv6SwMD/FP39bbq98zG4Y9G6h6UrfZpONitiEvVh3rbV6zI+85h40G3gfoYS1KocdRk445g54qhDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T09:07:30.042038Z"},"content_sha256":"3ef9f223a96237d6ffccc559669858caf1e4582702560ba415cd07699209b52e","schema_version":"1.0","event_id":"sha256:3ef9f223a96237d6ffccc559669858caf1e4582702560ba415cd07699209b52e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EDRC4OE6PZ2DUPSFGSDJPVCNYM/bundle.json","state_url":"https://pith.science/pith/EDRC4OE6PZ2DUPSFGSDJPVCNYM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EDRC4OE6PZ2DUPSFGSDJPVCNYM/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":"2026-07-09T09:07:30Z","links":{"resolver":"https://pith.science/pith/EDRC4OE6PZ2DUPSFGSDJPVCNYM","bundle":"https://pith.science/pith/EDRC4OE6PZ2DUPSFGSDJPVCNYM/bundle.json","state":"https://pith.science/pith/EDRC4OE6PZ2DUPSFGSDJPVCNYM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EDRC4OE6PZ2DUPSFGSDJPVCNYM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EDRC4OE6PZ2DUPSFGSDJPVCNYM","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":"86e91677dd4768044666b4b2c9ae78a776dc603fea632756ff3362dbf7c5dd92","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-11T05:46:52Z","title_canon_sha256":"4b81307b004de47723d971208e935957b4fc451a44803daae8e353efaef515b0"},"schema_version":"1.0","source":{"id":"2308.05948","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.05948","created_at":"2026-07-05T06:40:21Z"},{"alias_kind":"arxiv_version","alias_value":"2308.05948v1","created_at":"2026-07-05T06:40:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.05948","created_at":"2026-07-05T06:40:21Z"},{"alias_kind":"pith_short_12","alias_value":"EDRC4OE6PZ2D","created_at":"2026-07-05T06:40:21Z"},{"alias_kind":"pith_short_16","alias_value":"EDRC4OE6PZ2DUPSF","created_at":"2026-07-05T06:40:21Z"},{"alias_kind":"pith_short_8","alias_value":"EDRC4OE6","created_at":"2026-07-05T06:40:21Z"}],"graph_snapshots":[{"event_id":"sha256:3ef9f223a96237d6ffccc559669858caf1e4582702560ba415cd07699209b52e","target":"graph","created_at":"2026-07-05T06:40:21Z","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/2308.05948/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, sketch-based 3D shape retrieval has attracted growing attention. While many previous studies have focused on cross-modal matching between hand-drawn sketches and 3D shapes, the critical issue of how to handle low-quality and noisy samples in sketch data has been largely neglected. This paper presents an uncertainty-aware cross-modal transfer network (UACTN) that addresses this issue. UACTN decouples the representation learning of sketches and 3D shapes into two separate tasks: classification-based sketch uncertainty learning and 3D shape feature transfer. We first introduce an","authors_text":"Jiaming Lu, Jiewen Wang, Shuang Liang, Yiyang Cai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-11T05:46:52Z","title":"Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.05948","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:ed04f7561abdd4f87d993d7c03efae52a8e4b529b34bb3c5770bc9564a287aaf","target":"record","created_at":"2026-07-05T06:40:21Z","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":"86e91677dd4768044666b4b2c9ae78a776dc603fea632756ff3362dbf7c5dd92","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-11T05:46:52Z","title_canon_sha256":"4b81307b004de47723d971208e935957b4fc451a44803daae8e353efaef515b0"},"schema_version":"1.0","source":{"id":"2308.05948","kind":"arxiv","version":1}},"canonical_sha256":"20e22e389e7e743a3e45348697d44dc322ce1e708fc21db06a90d275072c2892","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20e22e389e7e743a3e45348697d44dc322ce1e708fc21db06a90d275072c2892","first_computed_at":"2026-07-05T06:40:21.015952Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:40:21.015952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0Wn57m5PijNY9aMtMbJdxTDUBLbTYfWBTM6c2n3IOVrhvzgelY6JnBO1isv031Wbi7iYbmXvQkfLNTRhuyZlCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:40:21.016351Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.05948","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed04f7561abdd4f87d993d7c03efae52a8e4b529b34bb3c5770bc9564a287aaf","sha256:3ef9f223a96237d6ffccc559669858caf1e4582702560ba415cd07699209b52e"],"state_sha256":"97bee0e9dd5dabceb043659242425c93f49303071a2b2cb9e35cdca290ceaacc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ji3xvpJvtLr9uikfbo94QrOzLbqW3brX4LDtoIvDCzzMQCdHzxwC35L21NQG6k4kVArBSfeU9SQ9b4XkWcdmDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T09:07:30.044811Z","bundle_sha256":"4d914593ca60e57477bc0309668e02afea0c466d27f48c36a8dd7213e06f0530"}}