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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 14 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 2026-08-14T06:32:32.682623+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=sha256:3336ccc09e626f9618b75dc7bbce1d2c90f581774cb2164202c33b3b0030dca0

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=sha256:60eb3c724ec57b65ac148aa64d7ade41e1c126c1c20bf993c3a0a4268ccb5583

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:f59a9334a8a48ab57ee3a6e61f4e501a7b43680b3bce8cc35ab96282cc3ba418

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=sha256:53872b3682afc90f54ede488941d43ce8f4a0352d16b9ea6926a0453578102d0

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:b381ebafda61393b78701db40cceb8017f4dfa7271c9273d93b6d96d9f98578c

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=sha256:15a302ab4395e0ec72aaa8a38812178714156de23b971cc06e30a58c6d18e879

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:b9f974cc02b31bf62a3f1147fb263cea152109bbafdecc36c51f20870d2c0141

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:b064ce56f2590474e77cc2158c31abc4012872c086c26c8e9d1bf54065d73d98

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=sha256:6554b1d723d12df645603c7cd2642873d4c4b681ade92e5e3528d579e201a390

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:cc5d28201a3b249e5abc339e5916c8686833c0a38ba8c0201744eaf1c42a6bf3

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:b85f7faf2b4756a78fb577fe3ee78fe2684bb98e177d6072efb483803e1abd2c

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=sha256:6eabb2a11289787f53a6aef53775eae0196c2e6ca5f106073bb1ea5feb127e40

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:5bff7111e90ec8199d1f7e80aa517590901d427030f1b175054e41381a09fc5a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:baf6216f9cd1ca1d80b5e564e3def6206999a1e12201de8da716e8592e22b088

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:b15684041140cca85c73761f63789ae8e1fb3a771f7f45c5b884e39be6a49b55

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

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=sha256:9d68262850aa9a7d5f86ed6cdbe6a3ed93bbe26354a5c81dc28a854950283a45

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=sha256:361701a2394d201a23d92cc70294aa8af7ac44b57a6fba9912abd6311cfca1e0

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=sha256:870e366d256e74b9321181a7e0c92f781de9934bbc82919684b75633bf129dea

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=sha256:0161aaac1c64eeff90df4edc72278c1841b204e53c226bdf1991a50f30f437b7

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:d6af239ef7939d8640d69273fa4ddc18b5c3128040817fa16460323bcd3132a9

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:b13c3db13970eded0308e78dfe4ce1b1669aceb401e65dbdee9b020f98c0cff2

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:e3f44f49997688023fba20a52edc7dd8f3d581f44e6153e57f2feb68ea5e61b0

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:7291a33b80cbbcc42fa29c1f4ccd22ed736fb4dec3c86305c16930be2cd104d7

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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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:ff4b3d6c9517ccbfbf43ff8b307b599ee9079ba853f5875892e469e62cb06b4a

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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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=sha256:3615f610b33e83dcffdc41345bd6437007a25c744fdd5b0a2d90a2e81996c8b1

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:8afe41b4325af3ebf4e88c6c7fcaa878cea28d6c20c97fe6964089ded5071454

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=sha256:98418dc8cca793b71e33d0b5a2eb649bfb0a613accf41404a3cf7db489c9e6f6

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=sha256:38a3fcff08ade854ef403a8b1fe04a9dff5b1d506309ba57787f831ff7ac719a

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=sha256:547ea16db166933ae00c3cd0e2480b6c54861f1913f15dac8c58fc20a1073269

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=sha256:638d909d87ea5ad6d9dc093d129e6014477105a0eff10ffaeff2eb4228a4f84e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:a6e324184247d06d0570c70ca997ebfaf7a348e3d0e4f901a4aec26d70854fbf

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:d3794fe6cef441ef55643a9c2b20554b0df9de485bb3a0174ccde3886627f8ac

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=sha256:5ce27cd9c0751bf896686bb70fecc92892b552164b88fef8e676e657b4950430

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=sha256:2ac276f0afa090dcafcf1bcfb83483b327f183320f5ca9a84ed60f44eb72270d

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=sha256:7f45ab136c44d6afcb12bed7b86443fbf42279adf2f364aa8a25bf9a91be6619

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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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=sha256:0a012240bf8d09ef1e960f3c1ec4c5ac0369729f033364a5c289af870b7ecc57

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=sha256:418a195f841e3edf878a10408a9282ab782f056a9a48cd5138240576151ec00e

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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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:cd1a2f843ede8bcfdc258f9c37c920f80c29c6bceb8196ba4bb03ee68078a913

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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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=sha256:0c60683b6cff9d8fccb6bd6b326e34fb7df24661eb8b086a9ac292556010d0c9

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:6e677eee81f501fbe817339e2761d3fd70f0b377aafc08d758201763c0ce30d3

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:a31b631a3573a8e28511f51db9d82c31b1d8eaa764c7af5e06c2acb2539dc10e

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:c27cc545049d98136231a2d657c21a963603cea89493858ae1d0fd5b4ec833ba

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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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=sha256:17640897192cd53db327a48c4e34bf51705c53f69c993b6f17ae39fd18f91d1a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:3ebb56e1eda45cdc8e9f4bf58371d07caae9fffc895e7a1c8a46b6856aa1a8a5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:a5e8fd689db9bc00ea4351a024a24c4ff71985fa20e3490571bb592dc583f1c8

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=sha256:86dbdd12e660256622d5a70f78b409ee33c4d447673d2aad216c731feba2e282

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:5e5527af59dd84d74dc8d598f1818e25d2c13d6f3da76c9a33501e9b0558003c

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:ed069f919f60297ec1fd60de1cffa154f5bd035b64ef59319e25ff232ad321a8

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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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=sha256:2ccea7840bfdefce140453126967b9f10fb9dfdbe824217cf51054e46cc77e21

Pith citing papers

No inbound Pith citation observations are available.