{"as_of":"2026-08-10T03:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1ff3a718a396f0de3f41821b9fe437b56ddc409847a87ace8d96d9edae1731c","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":"2026-08-09T06:31:02.800959+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":"2026-08-09T15:58:31.011916Z","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":"sha256:77e75747f5928d14546a78d1ffa0f7210b9dda28c9873eb79921525a4cec9c0d","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":"2026-08-09T15:58:31.011916Z","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":"sha256:5d775939750b5c0f057207b40071da9c03c6d10698495aef04c239496e4f8728","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":"2026-08-09T15:58:31.011916Z","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":"sha256:429a3e5861a8f6e272a99dadf7464f5f1f55e144588481748bc02c847bb2a5b4","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":"2026-08-09T15:58:31.011916Z","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":"sha256:05c615101890e981efc4047fa14a7975ce7c58407710da939aaea1c23c5ed6ce","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":"2026-08-09T15:58:31.011916Z","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:ee528f3f56b7305ac20892e48b59a9d1890b4e5c8609b13220e00c8e72b7ab39","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":"2026-08-09T15:58:31.011916Z","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:faed86b3f80ce682b786964459145333f12eb9feec179007e438349b21bf5a75","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":"2026-08-09T08:20:16.324902Z","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":"2026-08-09T15:58:31.011916Z","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:daa377ea5a701fabe6bf5b1449c1e34d4360ecf683ae69569b08f2e7521adc4a","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 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T15:58:31.011916Z","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:abd1610039382508d446d483cda9db6e7ba35bd984f1716ab0f6bf98dd44c08a","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":"2026-08-09T15:58:31.011916Z","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":"sha256:096a4f2b6a0a03c245727f99ffde96922655913e381b498644531bcf1b637e2e","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":"2026-08-09T15:58:31.011916Z","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:f5681c09d76de2124e5d33c47be534db69524abbb38692e8324adfbc110486eb","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":"2026-08-09T15:58:31.011916Z","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:fe453873c5d946d035e04bac96dc80e1660749ffb7fb7daab2fb6441f65b2489","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":"2026-08-09T15:58:31.011916Z","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":"sha256:67f2046ccfe8ea98e22d379ea3e92f01bf84eb306a0c3ebff77ba0d3ad397a2a","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":"2026-08-09T15:58:31.011916Z","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":"sha256:3e45d773d70ce6ffbd32530325ad391796b02556e22b223da45b8f6924bf5af4","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 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T15:58:31.011916Z","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":"sha256:99bcbc8c0d3558a8e6553847e1dcac312f2994799d3e8d6e6e3835ecd131eb3e","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 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T15:58:31.011916Z","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:ccd2e6f270b76c0648f634ec976f94d5078b615291aa6fb36fad363756e41d90","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":"2026-08-09T15:58:31.011916Z","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":"sha256:664e2ac651d002865c93299da2a2d70a1d7fad04dbb4bedf08bcf6b754ca4af7","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":"2026-08-09T15:58:31.011916Z","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":"sha256:25d78f83d55596c53bb15b7b294cd982251882db04f13742821efec72c442bd4","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":"2026-08-09T15:58:31.011916Z","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":"sha256:9b8a6e9a447cdad4690ce7bfd4e15434b45f6ef2c8818bbd665519c10b240343","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":"2026-08-09T15:58:31.011916Z","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:bca873dd73b95c649f208c4eeb9aa5b85ce94dd591c25e125e4fe4934d83a2ce","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":"2026-08-09T15:58:31.011916Z","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":"sha256:23b2e3e39585e0b73dcf809826a53eed181bb261a268f831f831b6b0e29d8007","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":"2026-08-09T15:58:31.011916Z","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":"sha256:96d00fd7e8a4ecd6076e003641a25d7c634133f02f32caee47dfe5c4ca0d2362","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":"2026-08-09T15:58:31.011916Z","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:a4f4b3b65abedab08b7d7e15c026d5389bc97ba60cfdba2ba58d20098b74ed08","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":"2026-08-09T15:58:31.011916Z","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:c4cf602669f99156d952837c8efdb67e48f2820ced61369662751ac8df1cac5c","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 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T15:58:31.011916Z","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":"sha256:25571d74f835baf05b5a9f8b5133ce4ff1fdc1b154eb2114a0e7568e547d0767","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":"2026-08-09T15:58:31.011916Z","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":"sha256:2137e0692d94771fdbb02d47319998bf3d81a9ac4f0140712228396e21399162","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":"2026-08-09T15:58:31.011916Z","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":"sha256:388429469b8e574bf3b22fa5dd9f4f600ef222aa24d12d6d74f718db5406f093","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 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T15:58:31.011916Z","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:e21571c3987a5df599584963130203a594d6aad900c46f8688c45da27e06a1b0","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":"2026-08-09T15:58:31.011916Z","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":"sha256:9cca7c7cb4a0274e7ec68b9eea907963488bd145ec8d7367fb2c72014badba69","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":"2026-08-09T15:58:31.011916Z","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":"sha256:078bf75ea45802bfb347aacc0f45c2652824333e9e7e25b94f2387dbe0d4e34e","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":"2026-08-09T15:58:31.011916Z","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:fcc3ab36e184a1a654c19b35063852109df23af7fe7ce998b5481fe98fa1ddb8","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":"2026-08-09T15:58:31.011916Z","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":"sha256:6f0f508fccb66ff1aca6bc6c9f35205b5dd0f5e690815a096ad3e93df0f6eb32","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 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T15:58:31.011916Z","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":"sha256:9dca6a968f2e1bf0539466d1c77d72f8a89c1a1fbd8aaf470163fb2f6fc820cc","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":"2026-08-09T15:58:31.011916Z","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":"sha256:906d9c0a1d2c9b40bce3561bb7aca0ba15327c742e67ecdd53196394e285e339","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":"2026-08-09T15:58:31.011916Z","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":"sha256:00764518a4082837beeaa54a77387ccae4bd4c4ca1a333c81619709af50c4673","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":"2026-08-09T15:58:31.011916Z","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":"sha256:39ea54932f790bef4f56a77c8e980197323d2b04bbd8ac64a3f8a01cf8215a16","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":"2026-08-09T15:58:31.011916Z","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:bc1bb3b14970911489d41b1e928735af2a3859ee63d80171ea78d6cd8c348f52","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":"2026-08-09T15:58:31.011916Z","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":"sha256:6dc7fd191c50aaa5f4c39c9cddb9cb0a57e852b42ec9bb2dcd56923e4c851481","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":"2026-08-09T15:58:31.011916Z","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:d5067b133319da2a32e9443a027d1c6b8b5f41986164a355f97f56fef46ab95a","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":"2026-08-09T15:58:31.011916Z","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:ab2f82cf2ef21e9a33ded0961a3039f7a36cee1c602d9932258799df4c147190","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":"2026-08-09T15:58:31.011916Z","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":"sha256:6df7f83f2fdf5c33d880dce9b1dea4eaf6bec15ba48f8476a38b38d7e93d67ce","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":"2026-08-09T15:58:31.011916Z","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":"sha256:5a7cde4e5ca36a4ce33eb0a663690095eeae2d8eef10606680d9de2f33cd3d83","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":"2026-08-09T15:58:31.011916Z","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":"sha256:8c843b1269f7bfe4ce8927e067f3f3b8d4c3f63dd685410a855c95a72a65a227","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":"2026-08-09T15:58:31.011916Z","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":"sha256:7de4871ab658d5e4d1933b99aaf2c3986371c1053a9bc031fe8c776b1a7998a6","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":"2026-08-09T15:58:31.011916Z","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:ac280d72a2c1fb63d1ee92bde12d9e4505780ff595dac3a25b0d8b671a9856fb","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 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T15:58:31.011916Z","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:d2e74a5e4ee66fafbc66e1b0610ff92ea8c4703392898dc3ff3f9d639db94599","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 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T15:58:31.011916Z","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:bf24e42e69d1e13585ea4cd395366012c2b90b663137affd179dc8e5a1ec0c0c","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":"2026-08-09T15:58:31.011916Z","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:a64e1c01ca5dc649f545426b8a347b996df6190dc5a5efd0118cffcfdbc01794","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":"2026-08-09T15:58:31.011916Z","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":"sha256:7a0e4c79a26263afbefd46229957a5db7400074f3f1d065bf6b8e49123ae72fb","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":"2026-08-09T15:58:31.011916Z","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":"sha256:453aa81ae5f1ce6f2591272e24029db9b79fd6f595570e7a80da15a296a6038d","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":"2026-08-09T15:58:31.011916Z","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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2606.25273."}