{"as_of":"2026-08-09T04:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ca211c090f3413ce1617c4532a1f86a66ebe2d9ea80ca2ba769f165e86dc102","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-25T20:59:46.355482Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.25273/citation-record","integrity":"/paper/2606.25273/integrity","json":"/paper/2606.25273/citation-record.json","paper":"/paper/2606.25273"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the 38th International Conference on Machine Learning,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:628f249c8b4026ad6ad3ecac19e4b96712c9df81d37f5bc282964c21d5c62b83","observation_id":"3c5925fb-670e-4823-8ee2-cd90f56803cf","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:7fa0fa9563cfcba948c7f6a15753798afe0bff6d942650b0162fd8329307056c","observation_id":"60553e63-b392-45af-b40c-b95f03de0070","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:4e578b583b166c9aad229808dfda55eaab4dd40801b7fd2f48587fb99243d786","observation_id":"5a1dafed-994a-4827-84f1-69ecfca66d44","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the AAAI conference on artificial intelligence , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:a72f3c27ed02869abcaff4dfd48c6246dadd68b3795a65939a50c47a7d5bc3ae","observation_id":"b817c009-5481-4713-9b03-4db13657d187","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"European conference on computer vision , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:72c78f65f3672d9176c849800267677948390815be445752ceeefdca3707c457","observation_id":"5594c9f0-6bce-4c33-9537-39f1d076addc","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:00e897dc8c6ec4bb85213e98dc008454562d5285fac3dda7e6751c1dca29e768","observation_id":"b7ab27a8-f161-4ad0-ae01-239f66b58a2c","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16402","last_updated":"2024-01-29T18:41:21Z","snapshot_observed_at":"2026-07-06T17:22:03.122430Z","submitted_at":"2024-01-29T18:41:21Z","title":"A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect","version":1},"cited_work":{"arxiv_id":"2401.16402","doi":"10.48550/arxiv.2401.16402","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.16402","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.16402 , year=","venue":"arXiv (Cornell University)","work_id":"2088fe69-4ec4-4505-983c-6b44277890d6","year":2024},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"cited_paper":"/paper/2401.16402","citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:acc21d1a3c940501158d16e44d4eebc678315435ab773231f597e6c18be6ec3f","observation_id":"4d9bc430-1345-4a97-8376-0cedb2278b18","resolution":{"observed_at":"2026-07-04T19:50:10.591635Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:1e0397c85f76eef144e1207ee2baeb1ccb4b77e854cdbaaacc0a50cada6c4fb1","observation_id":"e951528f-34a1-4961-8c0d-2ae3ba001e7f","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the 31st ACM International Conference on Multimedia , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:101169ff2a86de7222f7d344e7a3fa7ca6c325bed7ad3d4d856b971373d881f4","observation_id":"646a2c38-38b0-4b54-9299-46eb309c744a","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the 40th International Conference on Machine Learning , pages =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:11e22b0118483ff80b25c316c2c96e44f572ce9352e9a89c4c57139e7235316d","observation_id":"bcd8ebd8-5ffb-4550-8361-f9edafe94a35","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:eb04bc1b2412157266265ea501f5aa0051c6ec85bcc46db991c049d2b8850af5","observation_id":"b5c63a37-73d0-49c5-aa0c-8d5a2f8de1a9","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:80c1439fb0479d39c7517da72b94d16ab54456322c3f22f0d6642962569103a2","observation_id":"24ec4917-c3f1-4807-a955-5aed958ba435","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17382","last_updated":"2023-10-11T07:02:45Z","snapshot_observed_at":"2026-07-06T15:34:16.800916Z","submitted_at":"2023-05-27T06:24:43Z","title":"APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD","version":3},"cited_work":{"arxiv_id":"2305.17382","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.17382","snapshot_observed_at":"2026-07-04T19:50:10.587152Z","title":"A zero-/fewshot anomaly classification and segmentation method for cvpr 2023 vand workshop challenge tracks 1&2: 1st place on zero-shot ad and 4th place on few-shot ad","venue":null,"work_id":"8f6256c6-5046-431a-b1e3-21ad83a9b7c2","year":2023},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"cited_paper":"/paper/2305.17382","citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:5e8fb3c6f701b971e5fabc77328909ca8c7cbb98a40144689a0447d26767dbb8","observation_id":"bb9e64dc-ec91-477b-993e-9f2ae33a049c","resolution":{"observed_at":"2026-07-04T19:50:10.588711Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2310.18961","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T19:50:10.574363Z","title":"Anomalyclip: Object-agnostic prompt learn- ing for zero-shot anomaly detection","venue":null,"work_id":"560d13d7-737c-47f8-ac7f-f8d0ca099588","year":2023},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:7551165c389f5b4e3c17f8d56a55f946dc38ff991c7b009e85d3a2fd2f92127e","observation_id":"3d7d221d-7d17-4e76-afed-614dd4e9d09f","resolution":{"observed_at":"2026-07-04T19:50:10.576441Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"European Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:874bcd6d5b99b1409ac46519abd0addda4f5c96be17080c80d191cb477c07f89","observation_id":"f9e8fd67-cbf8-4cab-9140-9d63620cf0e6","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:cf4b18f0fc2473ca8e931f7da71ab5686c35ab65d49b44d55e8a440b811db371","observation_id":"2b14ff69-9362-4701-9c3c-df62a3689670","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"European conference on computer vision , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:7b037f0d3fc11e90f95247a82b83091c0e2668b9e36eda326b37377459b142f8","observation_id":"c298d374-b768-4cdc-b086-d3c6ef914a1d","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:6117d1b92a7e1c23ba0008f173c2e5a190e4c7b595784d3e8e66d86d1a49ce56","observation_id":"b4146e8b-53d9-438e-9f06-9465d1409a7b","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:b842c8227f2a0c8633df8fd3ca8782430f51bf42c4f751508d45436083753bef","observation_id":"65306f30-a8f3-4537-9bf7-1e501821d76c","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:451f8ac90454b261d0965d52e33dfc1030a751b070c9ed2055a835981858ad8d","observation_id":"03c73c8b-9442-4a5e-a199-da2cda77b3a6","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:de51fc2dfb7f1078566caedd1d9ab925f5d5f82604a3bfe707882a5832ddf289","observation_id":"b13dd9cd-d9e4-4435-b84b-2434157d2b0a","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:b5594eb906379a3670e18b6f815926806d30a823315767e2ae90665c7e76ed95","observation_id":"02c89580-b6b2-467a-b674-ce786017723b","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.09045","last_updated":"2021-12-16T17:35:51Z","snapshot_observed_at":"2026-08-03T15:42:25.895204Z","submitted_at":"2021-12-16T17:35:51Z","title":"The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization","version":1},"cited_work":{"arxiv_id":"2112.09045","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.09045","snapshot_observed_at":"2026-07-04T19:50:10.592961Z","title":"The mvtec 3d-ad dataset for unsupervised 3d anomaly detection and localization","venue":null,"work_id":"c0f41ceb-734b-4f6f-93c7-35e8feaf4932","year":2021},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"cited_paper":"/paper/2112.09045","citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:c95ec1c8b4aec6e58091178867966705b7d294c98018569639e3438f68fba049","observation_id":"8a39774a-d5e2-4451-a94f-6ad3c103401d","resolution":{"observed_at":"2026-07-04T19:50:10.594482Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the Asian Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:31e96d0b64976eb1a2ddc87b52f48a9154bde2809d41b22d7b03ba5fd0eac1b8","observation_id":"0b81fcc9-4d31-49f6-8f35-179135157b30","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Pattern Recognition , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:2dd97ba8895742521b25e16a0edbe2e7343cda754d05ec5dd2919814a36041d1","observation_id":"22a19988-6c6d-45d9-9bdd-84483123c8ff","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.03277","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T19:50:10.583683Z","title":"arXiv preprint arXiv:2509.03277 , year=","venue":null,"work_id":"0e7d04d2-57df-43f6-b468-582787e01736","year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:868755e090381acab7f9e9495b945af43c6a165b57748c61879711574d52ecc7","observation_id":"1fab707a-474b-4709-9072-9dc473e10fb8","resolution":{"observed_at":"2026-07-04T19:50:10.585478Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:347962417ba44cbb55cfd207db5e4fa2e10f36758c5d3df71abc7a8f683a9696","observation_id":"7ba93f4b-81c4-409f-b131-0daf15d6039e","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF international conference on computer vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:ed6424922bcb3810c9f156d1f42b8a7a062d34470e7c52ab13998e98823a2295","observation_id":"dae748af-799c-4810-b905-9ed2b168b11a","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:3060de5b2fa28a6a6d1a6a20cd47bb4478dd1ef7574b0309bc69e9d74ec1be7d","observation_id":"4606ca87-f178-49c3-9e5b-2632bf568207","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"European Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:f033a3320f1efbee7d7889a616b35f2b43820e80785c3adb6510265ae7094ab5","observation_id":"d09c6953-6df8-4d0d-9073-88e77afb9a13","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09926","last_updated":"2025-05-19T03:02:23Z","snapshot_observed_at":"2026-08-07T15:45:13.953678Z","submitted_at":"2025-05-15T03:24:28Z","title":"AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection","version":2},"cited_work":{"arxiv_id":"2505.09926","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.09926","snapshot_observed_at":"2026-07-04T19:50:10.571308Z","title":"arXiv preprint arXiv:2505.09926 , year=","venue":null,"work_id":"7e17ae02-9f02-481f-aa57-f823cc88c776","year":2025},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"cited_paper":"/paper/2505.09926","citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:25e14ed54aca1870c5b5063f97a9c47172c68f5dd4a98c88cf30e5869cf9746d","observation_id":"4c2baac2-cb00-431d-9668-cd9780683cb7","resolution":{"observed_at":"2026-07-04T19:50:10.572900Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"IEEE Transactions on Instrumentation and Measurement , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:fe56a9eb70582833ea959a8a168176578ac4066c51cc100b4ba3d006038027d7","observation_id":"a1bcbc55-b1c7-4b58-a68e-047a64ed139c","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the AAAI conference on artificial intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:75164768bad8536747dc1f0cb40648d9a22098e5471584aab17801d1fae10197","observation_id":"bdbb5e3a-669b-4fcb-948a-c8959b05dd9d","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"European Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:314b727aa6227e1ff71cb3b4ee19ca4790d40288be60ff554af042ea960bd829","observation_id":"aae3b8dd-e3b2-43b4-9844-c58daa0e4de7","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"IEEE Transactions on Industrial Informatics , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:a62f6a5a70f4f62afe8c577abc9a62619106fbd34de611fb95282be64a379157","observation_id":"f3dc3132-8579-4b3b-b665-1f70dff4542b","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the Computer Vision and Pattern Recognition Conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:6637c21bfb3ac227e508a44f319f916767fbe877015c51c02e2366675e5b5286","observation_id":"dfd3348b-cfec-4080-ac68-8d5efde70bd1","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:f4771f1a6d868a5bb6242eb80a7a793fb017490f3be3a4469374dd3a36f47ce4","observation_id":"8a06606c-58bc-464c-ba71-559105275884","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Toward Zero-Shot Point Cloud Anomaly Detection: A Multiview Projection Framework , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:bbb22f56eb21ab5039832c4e7cdf3187d30dbd34c2ba538aed448e8608b916f1","observation_id":"9bb75d7e-8ce4-4ff3-9e6a-4a82a6478c60","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:845c6e525255da44e4d512008e896e34f863920c4786d2cba5b6eda80e38a564","observation_id":"761b45c3-2cfa-4f34-bd83-f72ad435ad44","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:54bac1ce63e5e7309e09159253dd6f7b90cb1c06cba4c488c3fc9606709991b6","observation_id":"1c5adbb3-5321-4538-bb09-2001aba28f2e","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the 33rd ACM International Conference on Multimedia , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:882b95dc328ae4910f1fb2096bb0337ba8cea4aaadb6dbf1357a907998f5ddc2","observation_id":"451caae7-0a39-49f0-b586-39e8ce3c4119","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:52dc4b8688efde5956199f943922ab543010a63ea0bf5873bfc79bf158c02a18","observation_id":"5033d800-db4e-46e3-8761-83aff4d1dd71","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Proceedings of the 33rd ACM International Conference on Multimedia , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:25f664afa567e736e74c61dd81cd334e369a1bb40f5a28255f8bfa6f37fdbe0e","observation_id":"203e5b6b-f5b9-487d-be49-505b21d097da","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.10047","last_updated":"2026-04-25T05:29:35Z","snapshot_observed_at":"2026-08-03T23:56:08.138434Z","submitted_at":"2025-11-13T07:47:37Z","title":"MuSc-V2: Zero-Shot Multimodal Industrial Anomaly Classification and Segmentation with Mutual Scoring of Unlabeled Samples","version":2},"cited_work":{"arxiv_id":"2511.10047","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.10047","snapshot_observed_at":"2026-07-04T19:50:10.580915Z","title":"MuSc-V2: Zero-Shot Multimodal Industrial Anomaly Classification and Segmentation with Mutual Scoring of Unlabeled Samples","venue":"cs.CV","work_id":"67c3b12b-c5d5-4f55-b820-6706b327a415","year":2025},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"cited_paper":"/paper/2511.10047","citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:c5039dddc3aa19896c0a08e8f780adf548cf5b340ef136b04d980208675ec80a","observation_id":"c81b0961-58e6-4601-ab3b-4a53d6d5cce3","resolution":{"observed_at":"2026-07-04T19:50:10.582231Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.19206","last_updated":"2026-05-26T00:03:26Z","snapshot_observed_at":"2026-08-02T21:46:32.722284Z","submitted_at":"2026-02-22T14:30:41Z","title":"GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning","version":3},"cited_work":{"arxiv_id":"2602.19206","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.19206","snapshot_observed_at":"2026-07-04T19:50:10.577796Z","title":"Gs-clip: Zero-shot 3d anomaly detection by geometry- aware prompt and synergistic view representation learning","venue":"cs.CV","work_id":"2be23162-ab56-4c61-9c0e-68d541637f0e","year":2026},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"cited_paper":"/paper/2602.19206","citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:3773131d9965f2680115e3e99123b7e162e77cd0c917aa76fd9a0d4d925a0f5a","observation_id":"83a41d2f-1c51-4c8e-89e4-75c9fff98b6f","resolution":{"observed_at":"2026-07-04T19:50:10.579363Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"International Joint Conference on Artificial Intelligence , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:8a037f37e5f314ff460b826b8ab2a9295994570f9dd6b5f01ffcebefe1fdbbec","observation_id":"cd0f3f94-fc32-4e5e-b617-e7826b377298","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"2026 , url=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:43170e4eabc9c709ad7260d159e97c02a925ff0cdc663e83fb099e9fd0cc0b56","observation_id":"72a23b39-26c5-462c-9d02-b43127602fed","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"Chinese Conference on Pattern Recognition and Computer Vision , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:1f06032a8750664fc4a554be8ebab7066403cced96522e296a2e3dbc023b882a","observation_id":"1570437e-2002-4238-b93f-b273ace0fd41","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-25T20:59:46.355482Z","title":"ArXiv , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-06-25T20:59:46.355482Z"},"links":{"citing_paper":"/paper/2606.25273"},"observation_digest":"sha256:43eb8185503ce165376157582ef4c6212c222d5229723c30ea7be78899c9eb0a","observation_id":"768a28f4-9c19-4f93-bbb4-64f91c5479a9","resolution":{"observed_at":"2026-06-25T20:59:46.355482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.25273","last_updated":"2026-06-24T01:12:22Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T17:57:41.543074Z","submitted_at":"2026-06-24T01:12:22Z","title":"CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":41,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":49},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2606.25273."}