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Paper Citation Record · LEDGER

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection

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.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.25273 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T20:59:46.355482Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c5925fb-670e-4823-8ee2-cd90f56803cf · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning,.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the 38th International Conference on Machine Learning,

Reference 1

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:628f249c8b4026ad6ad3ecac19e4b96712c9df81d37f5bc282964c21d5c62b83

Observation 60553e63-b392-45af-b40c-b95f03de0070 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 2

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:7fa0fa9563cfcba948c7f6a15753798afe0bff6d942650b0162fd8329307056c

Observation 5a1dafed-994a-4827-84f1-69ecfca66d44 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 3

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:4e578b583b166c9aad229808dfda55eaab4dd40801b7fd2f48587fb99243d786

Observation b817c009-5481-4713-9b03-4db13657d187 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the AAAI conference on artificial intelligence , pages=

Reference 4

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:a72f3c27ed02869abcaff4dfd48c6246dadd68b3795a65939a50c47a7d5bc3ae

Observation 5594c9f0-6bce-4c33-9537-39f1d076addc · outbound

This paper cites European conference on computer vision , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection European conference on computer vision , pages=

Reference 5

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:72c78f65f3672d9176c849800267677948390815be445752ceeefdca3707c457

Observation b7ab27a8-f161-4ad0-ae01-239f66b58a2c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Advances in Neural Information Processing Systems , volume=

Reference 6

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:00e897dc8c6ec4bb85213e98dc008454562d5285fac3dda7e6751c1dca29e768

Observation 4d9bc430-1345-4a97-8376-0cedb2278b18 · outbound

This paper cites A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:50:10.591635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:acc21d1a3c940501158d16e44d4eebc678315435ab773231f597e6c18be6ec3f

Observation e951528f-34a1-4961-8c0d-2ae3ba001e7f · outbound

This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

Reference 8

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:1e0397c85f76eef144e1207ee2baeb1ccb4b77e854cdbaaacc0a50cada6c4fb1

Observation 646a2c38-38b0-4b54-9299-46eb309c744a · outbound

This paper cites Proceedings of the 31st ACM International Conference on Multimedia , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the 31st ACM International Conference on Multimedia , pages=

Reference 9

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:101169ff2a86de7222f7d344e7a3fa7ca6c325bed7ad3d4d856b971373d881f4

Observation bcd8ebd8-5ffb-4550-8361-f9edafe94a35 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 10

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:11e22b0118483ff80b25c316c2c96e44f572ce9352e9a89c4c57139e7235316d

Observation b5c63a37-73d0-49c5-aa0c-8d5a2f8de1a9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Advances in Neural Information Processing Systems , volume=

Reference 11

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:eb04bc1b2412157266265ea501f5aa0051c6ec85bcc46db991c049d2b8850af5

Observation 24ec4917-c3f1-4807-a955-5aed958ba435 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:80c1439fb0479d39c7517da72b94d16ab54456322c3f22f0d6642962569103a2

Observation bb9e64dc-ec91-477b-993e-9f2ae33a049c · outbound

This paper cites 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.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection 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

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:50:10.588711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:5e8fb3c6f701b971e5fabc77328909ca8c7cbb98a40144689a0447d26767dbb8

Observation 3d7d221d-7d17-4e76-afed-614dd4e9d09f · outbound

This paper cites Anomalyclip: Object-agnostic prompt learn- ing for zero-shot anomaly detection.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Anomalyclip: Object-agnostic prompt learn- ing for zero-shot anomaly detection

Reference 14

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metadata mismatch
arxiv_id, observed 2026-07-04T19:50:10.576441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:7551165c389f5b4e3c17f8d56a55f946dc38ff991c7b009e85d3a2fd2f92127e

Observation f9e8fd67-cbf8-4cab-9140-9d63620cf0e6 · outbound

This paper cites European Conference on Computer Vision , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection European Conference on Computer Vision , pages=

Reference 15

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:874bcd6d5b99b1409ac46519abd0addda4f5c96be17080c80d191cb477c07f89

Observation 2b14ff69-9362-4701-9c3c-df62a3689670 · outbound

This paper cites Advances in neural information processing systems , volume=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Advances in neural information processing systems , volume=

Reference 16

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:cf4b18f0fc2473ca8e931f7da71ab5686c35ab65d49b44d55e8a440b811db371

Observation c298d374-b768-4cdc-b086-d3c6ef914a1d · outbound

This paper cites European conference on computer vision , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection European conference on computer vision , pages=

Reference 17

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:7b037f0d3fc11e90f95247a82b83091c0e2668b9e36eda326b37377459b142f8

Observation b4146e8b-53d9-438e-9f06-9465d1409a7b · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Advances in Neural Information Processing Systems , volume=

Reference 18

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:6117d1b92a7e1c23ba0008f173c2e5a190e4c7b595784d3e8e66d86d1a49ce56

Observation 65306f30-a8f3-4537-9bf7-1e501821d76c · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 19

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:b842c8227f2a0c8633df8fd3ca8782430f51bf42c4f751508d45436083753bef

Observation 03c73c8b-9442-4a5e-a199-da2cda77b3a6 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 20

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:451f8ac90454b261d0965d52e33dfc1030a751b070c9ed2055a835981858ad8d

Observation b13dd9cd-d9e4-4435-b84b-2434157d2b0a · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the AAAI Conference on Artificial Intelligence , pages=

Reference 21

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:de51fc2dfb7f1078566caedd1d9ab925f5d5f82604a3bfe707882a5832ddf289

Observation 02c89580-b6b2-467a-b674-ce786017723b · outbound

This paper cites IEEE Transactions on Systems, Man, and Cybernetics: Systems , year=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection IEEE Transactions on Systems, Man, and Cybernetics: Systems , year=

Reference 22

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:b5594eb906379a3670e18b6f815926806d30a823315767e2ae90665c7e76ed95

Observation 8a39774a-d5e2-4451-a94f-6ad3c103401d · outbound

This paper cites The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 23

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metadata mismatch
arxiv_id, observed 2026-07-04T19:50:10.594482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:c95ec1c8b4aec6e58091178867966705b7d294c98018569639e3438f68fba049

Observation 0b81fcc9-4d31-49f6-8f35-179135157b30 · outbound

This paper cites Proceedings of the Asian Conference on Computer Vision , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the Asian Conference on Computer Vision , pages=

Reference 24

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no resolver link, observed 2026-06-25T20:59:46.355482Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:31e96d0b64976eb1a2ddc87b52f48a9154bde2809d41b22d7b03ba5fd0eac1b8

Observation 22a19988-6c6d-45d9-9bdd-84483123c8ff · outbound

This paper cites Pattern Recognition , volume=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Pattern Recognition , volume=

Reference 25

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no resolver link, observed 2026-06-25T20:59:46.355482Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:2dd97ba8895742521b25e16a0edbe2e7343cda754d05ec5dd2919814a36041d1

Observation 1fab707a-474b-4709-9072-9dc473e10fb8 · outbound

This paper cites arXiv preprint arXiv:2509.03277 , year=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection arXiv preprint arXiv:2509.03277 , year=

Reference 26

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verified exact
arxiv_id, observed 2026-07-04T19:50:10.585478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:868755e090381acab7f9e9495b945af43c6a165b57748c61879711574d52ecc7

Observation 7ba93f4b-81c4-409f-b131-0daf15d6039e · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 27

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:347962417ba44cbb55cfd207db5e4fa2e10f36758c5d3df71abc7a8f683a9696

Observation dae748af-799c-4810-b905-9ed2b168b11a · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 28

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:ed6424922bcb3810c9f156d1f42b8a7a062d34470e7c52ab13998e98823a2295

Observation 4606ca87-f178-49c3-9e5b-2632bf568207 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 29

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:3060de5b2fa28a6a6d1a6a20cd47bb4478dd1ef7574b0309bc69e9d74ec1be7d

Observation d09c6953-6df8-4d0d-9073-88e77afb9a13 · outbound

This paper cites European Conference on Computer Vision , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection European Conference on Computer Vision , pages=

Reference 30

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:f033a3320f1efbee7d7889a616b35f2b43820e80785c3adb6510265ae7094ab5

Observation 4c2baac2-cb00-431d-9668-cd9780683cb7 · outbound

This paper cites AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:50:10.572900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:25e14ed54aca1870c5b5063f97a9c47172c68f5dd4a98c88cf30e5869cf9746d

Observation a1bcbc55-b1c7-4b58-a68e-047a64ed139c · outbound

This paper cites IEEE Transactions on Instrumentation and Measurement , volume=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection IEEE Transactions on Instrumentation and Measurement , volume=

Reference 32

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:fe56a9eb70582833ea959a8a168176578ac4066c51cc100b4ba3d006038027d7

Observation bdbb5e3a-669b-4fcb-948a-c8959b05dd9d · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 33

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:75164768bad8536747dc1f0cb40648d9a22098e5471584aab17801d1fae10197

Observation aae3b8dd-e3b2-43b4-9844-c58daa0e4de7 · outbound

This paper cites European Conference on Computer Vision , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection European Conference on Computer Vision , pages=

Reference 34

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:314b727aa6227e1ff71cb3b4ee19ca4790d40288be60ff554af042ea960bd829

Observation f3dc3132-8579-4b3b-b665-1f70dff4542b · outbound

This paper cites IEEE Transactions on Industrial Informatics , volume=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection IEEE Transactions on Industrial Informatics , volume=

Reference 35

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:a62f6a5a70f4f62afe8c577abc9a62619106fbd34de611fb95282be64a379157

Observation dfd3348b-cfec-4080-ac68-8d5efde70bd1 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 37

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:6637c21bfb3ac227e508a44f319f916767fbe877015c51c02e2366675e5b5286

Observation 8a06606c-58bc-464c-ba71-559105275884 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 38

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:f4771f1a6d868a5bb6242eb80a7a793fb017490f3be3a4469374dd3a36f47ce4

Observation 9bb75d7e-8ce4-4ff3-9e6a-4a82a6478c60 · outbound

This paper cites Toward Zero-Shot Point Cloud Anomaly Detection: A Multiview Projection Framework , year=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Toward Zero-Shot Point Cloud Anomaly Detection: A Multiview Projection Framework , year=

Reference 39

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no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:bbb22f56eb21ab5039832c4e7cdf3187d30dbd34c2ba538aed448e8608b916f1

Observation 761b45c3-2cfa-4f34-bd83-f72ad435ad44 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , year =.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the IEEE/CVF International Conference on Computer Vision , year =

Reference 40

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no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:845c6e525255da44e4d512008e896e34f863920c4786d2cba5b6eda80e38a564

Observation 1c5adbb3-5321-4538-bb09-2001aba28f2e · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year =.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the AAAI Conference on Artificial Intelligence , year =

Reference 41

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:54bac1ce63e5e7309e09159253dd6f7b90cb1c06cba4c488c3fc9606709991b6

Observation 451caae7-0a39-49f0-b586-39e8ce3c4119 · outbound

This paper cites Proceedings of the 33rd ACM International Conference on Multimedia , year =.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the 33rd ACM International Conference on Multimedia , year =

Reference 42

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:882b95dc328ae4910f1fb2096bb0337ba8cea4aaadb6dbf1357a907998f5ddc2

Observation 5033d800-db4e-46e3-8761-83aff4d1dd71 · outbound

This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , year =.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , year =

Reference 43

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:52dc4b8688efde5956199f943922ab543010a63ea0bf5873bfc79bf158c02a18

Observation 203e5b6b-f5b9-487d-be49-505b21d097da · outbound

This paper cites Proceedings of the 33rd ACM International Conference on Multimedia , year =.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Proceedings of the 33rd ACM International Conference on Multimedia , year =

Reference 44

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no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:25f664afa567e736e74c61dd81cd334e369a1bb40f5a28255f8bfa6f37fdbe0e

Observation c81b0961-58e6-4601-ab3b-4a53d6d5cce3 · outbound

This paper cites MuSc-V2: Zero-Shot Multimodal Industrial Anomaly Classification and Segmentation with Mutual Scoring of Unlabeled Samples.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection MuSc-V2: Zero-Shot Multimodal Industrial Anomaly Classification and Segmentation with Mutual Scoring of Unlabeled Samples

Reference 45

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metadata mismatch
local_arxiv, observed 2026-07-04T19:50:10.582231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:c5039dddc3aa19896c0a08e8f780adf548cf5b340ef136b04d980208675ec80a

Observation 83a41d2f-1c51-4c8e-89e4-75c9fff98b6f · outbound

This paper cites GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning

Reference 46

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metadata mismatch
local_arxiv, observed 2026-07-04T19:50:10.579363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:3773131d9965f2680115e3e99123b7e162e77cd0c917aa76fd9a0d4d925a0f5a

Observation cd0f3f94-fc32-4e5e-b617-e7826b377298 · outbound

This paper cites International Joint Conference on Artificial Intelligence , year=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection International Joint Conference on Artificial Intelligence , year=

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:8a037f37e5f314ff460b826b8ab2a9295994570f9dd6b5f01ffcebefe1fdbbec

Observation 72a23b39-26c5-462c-9d02-b43127602fed · outbound

This paper cites 2026 , url=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection 2026 , url=

Reference 48

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no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:43170e4eabc9c709ad7260d159e97c02a925ff0cdc663e83fb099e9fd0cc0b56

Observation 1570437e-2002-4238-b93f-b273ace0fd41 · outbound

This paper cites Chinese Conference on Pattern Recognition and Computer Vision , year=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection Chinese Conference on Pattern Recognition and Computer Vision , year=

Reference 49

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unresolved
no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:1f06032a8750664fc4a554be8ebab7066403cced96522e296a2e3dbc023b882a

Observation 768a28f4-9c19-4f93-bbb4-64f91c5479a9 · outbound

This paper cites ArXiv , year=.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection ArXiv , year=

Reference 50

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no resolver link, observed 2026-06-25T20:59:46.355482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:43eb8185503ce165376157582ef4c6212c222d5229723c30ea7be78899c9eb0a

Pith citing papers

No inbound Pith citation observations are available.