{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HWPYBEBSZFG4GAVRYR35CL325R","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":"1fbf2c8ca7971b47a4c80a1d23176e5955144207245a0e27794ff338e8089b1d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-20T02:30:33Z","title_canon_sha256":"6eeb33693d47d6cb12bdcbec1fe40b916932c89d46226287c4959a74734a21e1"},"schema_version":"1.0","source":{"id":"2409.13162","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.13162","created_at":"2026-07-05T09:09:30Z"},{"alias_kind":"arxiv_version","alias_value":"2409.13162v1","created_at":"2026-07-05T09:09:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.13162","created_at":"2026-07-05T09:09:30Z"},{"alias_kind":"pith_short_12","alias_value":"HWPYBEBSZFG4","created_at":"2026-07-05T09:09:30Z"},{"alias_kind":"pith_short_16","alias_value":"HWPYBEBSZFG4GAVR","created_at":"2026-07-05T09:09:30Z"},{"alias_kind":"pith_short_8","alias_value":"HWPYBEBS","created_at":"2026-07-05T09:09:30Z"}],"graph_snapshots":[{"event_id":"sha256:5cd768944b207393634657488894dae4b114dc66f44d964201d854fdea382fdd","target":"graph","created_at":"2026-07-05T09:09:30Z","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/2409.13162/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting anomalies within point clouds is crucial for various industrial applications, but traditional unsupervised methods face challenges due to data acquisition costs, early-stage production constraints, and limited generalization across product categories. To overcome these challenges, we introduce the Multi-View Projection (MVP) framework, leveraging pre-trained Vision-Language Models (VLMs) to detect anomalies. Specifically, MVP projects point cloud data into multi-view depth images, thereby translating point cloud anomaly detection into image anomaly detection. Following zero-shot imag","authors_text":"Guoyang Xie, Weiming Shen, Yunkang Cao, Yuqi Cheng, Zhichao Lu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-20T02:30:33Z","title":"Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.13162","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:a885bcf1b64af056516be928d12d5268ad50d23fa60488595274f5cd95f5e662","target":"record","created_at":"2026-07-05T09:09:30Z","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":"1fbf2c8ca7971b47a4c80a1d23176e5955144207245a0e27794ff338e8089b1d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-20T02:30:33Z","title_canon_sha256":"6eeb33693d47d6cb12bdcbec1fe40b916932c89d46226287c4959a74734a21e1"},"schema_version":"1.0","source":{"id":"2409.13162","kind":"arxiv","version":1}},"canonical_sha256":"3d9f809032c94dc302b1c477d12f7aec5e0687b3ff56275e4eabed21248d681a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d9f809032c94dc302b1c477d12f7aec5e0687b3ff56275e4eabed21248d681a","first_computed_at":"2026-07-05T09:09:30.284735Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:09:30.284735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AFcip7gTdIHwbzd1dCuoDNRaVbT7EU/N49DJijaQuEYfRluNxiPxNwNSFDTWsMNvE4qodISqfZqmEUKybH7MCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:09:30.285228Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.13162","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a885bcf1b64af056516be928d12d5268ad50d23fa60488595274f5cd95f5e662","sha256:5cd768944b207393634657488894dae4b114dc66f44d964201d854fdea382fdd"],"state_sha256":"1d2e5614539ca2f594ac5e00c7f86f45c3af3e6f88fd190a9a51034044556df0"}