Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:23:28.020413Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.03681.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:23:28.020413Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 186a6cfa-6a55-44d9-aea3-8bc4b25a515a · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection European Conference on Computer Vision (ECCV) , year =
Reference 1
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Observation 0a174571-5831-43c9-a4d5-cbe030121107 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =
Reference 2
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Observation 4fae5e0a-9d60-4516-8b7c-c13f0e7f24ba · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 3
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Observation ac4a848a-6c87-44ac-8e9c-04b70d058d4a · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 4
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Observation 6ad3a15b-a89d-4a39-8f26-a18677bdcd4f · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages =
Reference 5
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Observation 167aa5d7-ef4a-42d2-9f0b-294b92ba6e9a · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection International Conference on Learning Representations (ICLR) , year =
Reference 6
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Observation 7feebf0a-e95a-4bf2-9af4-ca74850e31f2 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection International Conference on Learning Representations (ICLR) , year =
Reference 7
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Observation e137a92c-c2af-4628-b781-eda54669d44c · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection International Conference on Learning Representations (ICLR) , year =
Reference 8
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Observation 582d591a-8973-4484-9531-438130bbff6e · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 9
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Observation c5782e71-2641-41ed-bc0c-e123938b1b3c · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Rethinking Visual Token Reduction in
Reference 10
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Observation f9f105c0-6e8b-41f7-b561-815eca95eb8b · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the AAAI Conference on Artificial Intelligence , volume =
Reference 11
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Observation 33e72e9e-91bc-430a-9c9b-8b2c6bf3bcbf · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 12
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Observation 62821933-94be-47c4-a873-e03542e1dfb3 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection International Conference on Learning Representations (ICLR) , year =
Reference 13
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Unavailable: canonical work link unavailable.
Observation 60335912-5c2b-4e6c-a727-b761c625625c · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Don't Just Chase ``Highlighted Tokens'' in
Reference 14
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Unavailable: canonical work link unavailable.
Observation 2c2ae413-130b-4a70-bd5a-3909b030b754 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection and Okuno, Tomoyuki and Nakata, Yohei and Keutzer, Kurt and Zhang, Shanghang , booktitle =
Reference 15
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Observation 7b477d1c-d349-4225-83b0-5304a975c135 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection International Conference on Learning Representations (ICLR) , year =
Reference 16
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Observation 72189135-dfa0-4792-b200-004a0eba7a5b · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 17
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Observation d6b97bfd-eb66-4534-8fe8-e8125bcdb894 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection 2023 , doi =
Reference 18
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Observation 0db76f1d-8f76-46d3-84f1-551957e9e937 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection
Reference 19
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Observation 9f0c3f61-0d9f-4afc-9418-fb677d86d847 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection International Conference on Learning Representations (ICLR) , year =
Reference 20
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Observation 2de4f55a-6c7e-4477-8d49-5e2424a85294 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection European Conference on Computer Vision (ECCV) , pages =
Reference 21
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Observation a4487cd2-7b81-485d-acdd-51700ae2ee3c · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 22
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Observation 4d812500-a337-4fd6-a97b-73d3f121fce7 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection arXiv preprint arXiv:2601.05552 , year=
Reference 23
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Observation 02c3630d-2343-4919-8d51-a63e4938ce09 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=
Reference 24
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Observation e211d9f0-c81a-4907-8205-02dc0ea437c9 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection 2026 , doi =
Reference 25
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Observation c3e7c1b4-d693-476f-aab8-3c5396f5280e · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 26
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Observation 66daed0e-2a5d-429e-bee4-4742c0509a5d · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection International Conference on Pattern Recognition (ICPR) Workshops , pages =
Reference 27
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Observation d7539d32-dc2f-4b87-922d-f73cfb1ce991 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 28
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Observation 376c699e-6a58-40ff-b5cf-b2fc35a220dc · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 29
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Observation 33c297cf-e696-4089-bc1e-50531385c19d · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection European Conference on Computer Vision (ECCV) , pages =
Reference 30
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Observation c7b5f72b-ca71-4ce3-a8f6-615ca0bb8e12 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection IEEE International Symposium on Industrial Electronics (ISIE) , pages =
Reference 31
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Observation 1ed7195d-2f32-4cb3-be12-e49e91bce8e2 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Computers in Industry , volume =
Reference 32
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Observation 49e8c8e5-4a8c-4033-8515-0b707f748841 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection 2007 , doi =
Reference 33
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Observation 0da9f57d-7e6d-4255-9944-fdb87a5f0708 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , pages =
Reference 34
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Observation 4bbe8efb-e7a2-40a9-95af-7a80badb304a · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Advances in Neural Information Processing Systems (NeurIPS) , pages =
Reference 35
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Observation 2e3a9cbf-a027-4746-8a39-f57256f41a86 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection International Conference on Learning Representations (ICLR) , year =
Reference 36
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Observation 89ef4a29-2a6b-49c7-b07a-9c7b89f88c25 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 37
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Observation bd6df218-7ffa-43b4-8307-3b703031ef47 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection International Conference on Learning Representations (ICLR) , year =
Reference 38
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Observation 1567aa20-1013-4c39-bd8b-9e9f089f2114 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection European Conference on Computer Vision (ECCV) , pages =
Reference 39
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Observation 4c9ed29b-0883-4eaf-b006-ec612decd7fe · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 40
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Observation 37d89c76-e4b4-4836-aea0-85d5edf96cd7 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 41
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Observation c562fe0b-ab8d-4e4d-a8a1-604f18f9dfd5 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection 2022 , doi =
Reference 42
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Observation f3445b19-e35b-44c5-8191-210eaa25a05a · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the AAAI Conference on Artificial Intelligence , volume =
Reference 43
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Observation 4167a623-1087-4fea-9ec5-54e465cea0fd · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 44
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Observation 2b5afecb-a7e5-42ac-bb9b-f314c13c7fb5 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages =
Reference 45
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Observation 4f89772e-1d92-4b72-86af-a2d472455975 · outbound
Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , pages =
Reference 46
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No inbound Pith citation observations are available.