{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7WISMM26ANECR3PGDQRYVIVZYX","short_pith_number":"pith:7WISMM26","canonical_record":{"source":{"id":"2507.19253","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T13:27:25Z","cross_cats_sorted":[],"title_canon_sha256":"87989f961b4f1c63ca28c2be90cb85ad853f3e8c489cd2c7cd94b548ce24cfac","abstract_canon_sha256":"1a295b5de61598fc0e6d8714c1c0abdf07eb9c9de54e65913b4201f144f9c457"},"schema_version":"1.0"},"canonical_sha256":"fd9126335e034828ede61c238aa2b9c5cfd72181ca39950cee2deceda396d611","source":{"kind":"arxiv","id":"2507.19253","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19253","created_at":"2026-07-05T11:43:22Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19253v1","created_at":"2026-07-05T11:43:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19253","created_at":"2026-07-05T11:43:22Z"},{"alias_kind":"pith_short_12","alias_value":"7WISMM26ANEC","created_at":"2026-07-05T11:43:22Z"},{"alias_kind":"pith_short_16","alias_value":"7WISMM26ANECR3PG","created_at":"2026-07-05T11:43:22Z"},{"alias_kind":"pith_short_8","alias_value":"7WISMM26","created_at":"2026-07-05T11:43:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7WISMM26ANECR3PGDQRYVIVZYX","target":"record","payload":{"canonical_record":{"source":{"id":"2507.19253","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T13:27:25Z","cross_cats_sorted":[],"title_canon_sha256":"87989f961b4f1c63ca28c2be90cb85ad853f3e8c489cd2c7cd94b548ce24cfac","abstract_canon_sha256":"1a295b5de61598fc0e6d8714c1c0abdf07eb9c9de54e65913b4201f144f9c457"},"schema_version":"1.0"},"canonical_sha256":"fd9126335e034828ede61c238aa2b9c5cfd72181ca39950cee2deceda396d611","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:22.355061Z","signature_b64":"/ZdpbrSdl3U1Z+Ti4oYLP1DaD01VOXdwKScRoLYPJRizv/LpLyPeqP0rTxGxKrwecs9BSeRSXdOH/+dUJhioCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd9126335e034828ede61c238aa2b9c5cfd72181ca39950cee2deceda396d611","last_reissued_at":"2026-07-05T11:43:22.354574Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:22.354574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.19253","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":"2026-07-05T11:43:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aMwwjzsoWnpbrsNIrgu4HEqT2l04TKgAJm3easUW20gYPbaeoCd4pXJi0/XJ+GCvciQvj1g52eutevNergilCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T04:11:57.952749Z"},"content_sha256":"08fdbd8ee214dfb954a2d1dfac2885e24b74c518f5e5f66eb097654f128c9dd5","schema_version":"1.0","event_id":"sha256:08fdbd8ee214dfb954a2d1dfac2885e24b74c518f5e5f66eb097654f128c9dd5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7WISMM26ANECR3PGDQRYVIVZYX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"An Xiang, Cheng-zhong Xu, Kejiang Ye, Xitong Gao, Zixuan Huang","submitted_at":"2025-07-25T13:27:25Z","abstract_excerpt":"Industrial anomaly detection for 2D objects has gained significant attention and achieved progress in anomaly detection (AD) methods. However, identifying 3D depth anomalies using only 2D information is insufficient. Despite explicitly fusing depth information into RGB images or using point cloud backbone networks to extract depth features, both approaches struggle to adequately represent 3D information in multimodal scenarios due to the disparities among different modal information. Additionally, due to the scarcity of abnormal samples in industrial data, especially in multimodal scenarios, i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19253","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/2507.19253/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":"2026-07-05T11:43:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BH4pMhCUCIhqbnTgyaias3Z/YuJkfTwv1fnF1f+J9PssajMi4vPazXDrFkPSWTRi/HcRQeBZPtsYV0F5KEY+CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T04:11:57.953568Z"},"content_sha256":"a9cde5cb08d863afc02e4a92793fc442d1f4d6c0c0b410cda653d0f16b03012e","schema_version":"1.0","event_id":"sha256:a9cde5cb08d863afc02e4a92793fc442d1f4d6c0c0b410cda653d0f16b03012e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7WISMM26ANECR3PGDQRYVIVZYX/bundle.json","state_url":"https://pith.science/pith/7WISMM26ANECR3PGDQRYVIVZYX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7WISMM26ANECR3PGDQRYVIVZYX/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":"2026-08-18T04:11:57Z","links":{"resolver":"https://pith.science/pith/7WISMM26ANECR3PGDQRYVIVZYX","bundle":"https://pith.science/pith/7WISMM26ANECR3PGDQRYVIVZYX/bundle.json","state":"https://pith.science/pith/7WISMM26ANECR3PGDQRYVIVZYX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7WISMM26ANECR3PGDQRYVIVZYX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7WISMM26ANECR3PGDQRYVIVZYX","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":"1a295b5de61598fc0e6d8714c1c0abdf07eb9c9de54e65913b4201f144f9c457","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T13:27:25Z","title_canon_sha256":"87989f961b4f1c63ca28c2be90cb85ad853f3e8c489cd2c7cd94b548ce24cfac"},"schema_version":"1.0","source":{"id":"2507.19253","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19253","created_at":"2026-07-05T11:43:22Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19253v1","created_at":"2026-07-05T11:43:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19253","created_at":"2026-07-05T11:43:22Z"},{"alias_kind":"pith_short_12","alias_value":"7WISMM26ANEC","created_at":"2026-07-05T11:43:22Z"},{"alias_kind":"pith_short_16","alias_value":"7WISMM26ANECR3PG","created_at":"2026-07-05T11:43:22Z"},{"alias_kind":"pith_short_8","alias_value":"7WISMM26","created_at":"2026-07-05T11:43:22Z"}],"graph_snapshots":[{"event_id":"sha256:a9cde5cb08d863afc02e4a92793fc442d1f4d6c0c0b410cda653d0f16b03012e","target":"graph","created_at":"2026-07-05T11:43:22Z","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/2507.19253/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Industrial anomaly detection for 2D objects has gained significant attention and achieved progress in anomaly detection (AD) methods. However, identifying 3D depth anomalies using only 2D information is insufficient. Despite explicitly fusing depth information into RGB images or using point cloud backbone networks to extract depth features, both approaches struggle to adequately represent 3D information in multimodal scenarios due to the disparities among different modal information. Additionally, due to the scarcity of abnormal samples in industrial data, especially in multimodal scenarios, i","authors_text":"An Xiang, Cheng-zhong Xu, Kejiang Ye, Xitong Gao, Zixuan Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T13:27:25Z","title":"BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19253","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":"sha256:08fdbd8ee214dfb954a2d1dfac2885e24b74c518f5e5f66eb097654f128c9dd5","target":"record","created_at":"2026-07-05T11:43:22Z","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":"1a295b5de61598fc0e6d8714c1c0abdf07eb9c9de54e65913b4201f144f9c457","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T13:27:25Z","title_canon_sha256":"87989f961b4f1c63ca28c2be90cb85ad853f3e8c489cd2c7cd94b548ce24cfac"},"schema_version":"1.0","source":{"id":"2507.19253","kind":"arxiv","version":1}},"canonical_sha256":"fd9126335e034828ede61c238aa2b9c5cfd72181ca39950cee2deceda396d611","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd9126335e034828ede61c238aa2b9c5cfd72181ca39950cee2deceda396d611","first_computed_at":"2026-07-05T11:43:22.354574Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:43:22.354574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/ZdpbrSdl3U1Z+Ti4oYLP1DaD01VOXdwKScRoLYPJRizv/LpLyPeqP0rTxGxKrwecs9BSeRSXdOH/+dUJhioCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:43:22.355061Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.19253","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08fdbd8ee214dfb954a2d1dfac2885e24b74c518f5e5f66eb097654f128c9dd5","sha256:a9cde5cb08d863afc02e4a92793fc442d1f4d6c0c0b410cda653d0f16b03012e"],"state_sha256":"da5f20451e467a38d370de266ba54d3e8e8bf2b07236f2851dd409cc0e355419"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sW0saMi9UvUH4VEqibsnU00LdsMWp6lAHL7PXxyMnj2gqr/QbN52e5CmJLaIYdby4Fpkmoo1h1pKUKLVJVXGCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T04:11:57.958672Z","bundle_sha256":"e7096198115862727dbac78d5f0a1a08f79124e14c8f4cbf80a35574735e7ab4"}}