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Paper Citation Record · LEDGER

Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection

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.

pith.paper-citation-record.v1
2608.03681 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:23:28.020413Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 186a6cfa-6a55-44d9-aea3-8bc4b25a515a · outbound

This paper cites European Conference on Computer Vision (ECCV) , year =.

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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no resolver link, observed 2026-08-11T04:23:27.434005Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.434005Z digest=sha256:be5420d2b17963b4b8487024f2e16c8991b9a9c3754133d268f7c2ce27ca6ed2

Observation 0a174571-5831-43c9-a4d5-cbe030121107 · outbound

This paper cites Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =.

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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no resolver link, observed 2026-08-11T04:23:27.458803Z

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source=arxiv_source observed=2026-08-11T04:23:27.458803Z digest=sha256:fcadad6a5ae2f7be239e822be5c2ece0320ea1d96c004096cd895e7ef3fc7ba1

Observation 4fae5e0a-9d60-4516-8b7c-c13f0e7f24ba · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.467962Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.467962Z digest=sha256:96625acda0bb5db17a40c3657c5bc4ca39949b0eb04bc459cbeca17d86e79ea0

Observation ac4a848a-6c87-44ac-8e9c-04b70d058d4a · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.512007Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.512007Z digest=sha256:6b8f1168b4f4af9fd3a9abbbed71df3878f46a18c2e04c20d01f641f802109ae

Observation 6ad3a15b-a89d-4a39-8f26-a18677bdcd4f · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.585979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.585979Z digest=sha256:8867eeeb8a97adeeafd115de8d5f2c3f0f0feecff2805fbd285cd4f339d2fcf1

Observation 167aa5d7-ef4a-42d2-9f0b-294b92ba6e9a · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

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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no resolver link, observed 2026-08-11T04:23:27.637019Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.637019Z digest=sha256:3bcc0f5d05cb4af8f6796c6ba50678d3e79f8bf576d552de1f63850073230423

Observation 7feebf0a-e95a-4bf2-9af4-ca74850e31f2 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

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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source=arxiv_source observed=2026-08-11T04:23:27.711683Z digest=sha256:1997a96946f6c20b01837bf969dd14b3f28c2045749bae89c312b8d376a4464b

Observation e137a92c-c2af-4628-b781-eda54669d44c · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

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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no resolver link, observed 2026-08-11T04:23:27.737843Z

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source=arxiv_source observed=2026-08-11T04:23:27.737843Z digest=sha256:c6cb1f04bf571ce303238d46dffab1266f6d1a9e349defc177c8eb510536a46f

Observation 582d591a-8973-4484-9531-438130bbff6e · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.741772Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.741772Z digest=sha256:136652a6ab6dcd9d725ecec75995fd62f694bf3ac40adc402ed7be734d5d0ce9

Observation c5782e71-2641-41ed-bc0c-e123938b1b3c · outbound

This paper cites Rethinking Visual Token Reduction in.

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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source=arxiv_source observed=2026-08-11T04:23:27.746742Z digest=sha256:fe8185b2f498f6f95ef65d3f7a906504c8fcd299a4e3be1130c922722ceda1e7

Observation f9f105c0-6e8b-41f7-b561-815eca95eb8b · outbound

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

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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source=arxiv_source observed=2026-08-11T04:23:27.750112Z digest=sha256:63c902aba85c6c400d6c09d1b8572243a0b24c2786c7ae0847d2b8f36dcb5f29

Observation 33e72e9e-91bc-430a-9c9b-8b2c6bf3bcbf · outbound

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

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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source=arxiv_source observed=2026-08-11T04:23:27.753938Z digest=sha256:063b20d175855082fb6f3ab96215bed615dd4cf4d974a913dae7f8b991be2a03

Observation 62821933-94be-47c4-a873-e03542e1dfb3 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

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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no resolver link, observed 2026-08-11T04:23:27.757898Z

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source=arxiv_source observed=2026-08-11T04:23:27.757898Z digest=sha256:44eaf61a86f39edcd73e7a129a91a0cd892eb11e0e95c38da87832c0e136727c

Observation 60335912-5c2b-4e6c-a727-b761c625625c · outbound

This paper cites Don't Just Chase ``Highlighted Tokens'' in.

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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source=arxiv_source observed=2026-08-11T04:23:27.761867Z digest=sha256:26a3a13b869df8fb061c87f8acd8e7ed118b2308e5a4dbf07aac40bfc846c5ca

Observation 2c2ae413-130b-4a70-bd5a-3909b030b754 · outbound

This paper cites and Okuno, Tomoyuki and Nakata, Yohei and Keutzer, Kurt and Zhang, Shanghang , booktitle =.

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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no resolver link, observed 2026-08-11T04:23:27.765241Z

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source=arxiv_source observed=2026-08-11T04:23:27.765241Z digest=sha256:46cf52b733dd2e7c32f1f3d0742f8ccb239ff25b045a87aed73673330e6606c0

Observation 7b477d1c-d349-4225-83b0-5304a975c135 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

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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no resolver link, observed 2026-08-11T04:23:27.768505Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.768505Z digest=sha256:708b9f5f1100739b5e958db16bc80c0a31bcd099829831d55e404e7f94e81649

Observation 72189135-dfa0-4792-b200-004a0eba7a5b · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.771327Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.771327Z digest=sha256:980b86a6802ec744636e9d2d26acaf2f09667c08a8b10bc0b3003dae7054969e

Observation d6b97bfd-eb66-4534-8fe8-e8125bcdb894 · outbound

This paper cites 2023 , doi =.

Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection 2023 , doi =

Reference 18

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no resolver link, observed 2026-08-11T04:23:27.774757Z

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source=arxiv_source observed=2026-08-11T04:23:27.774757Z digest=sha256:a8468b823a555bbd2e8555088f0000735d52422f80fcd39cf99d70c292a69fa7

Observation 0db76f1d-8f76-46d3-84f1-551957e9e937 · outbound

This paper cites CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection.

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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source=arxiv_source observed=2026-08-11T04:23:27.777627Z digest=sha256:bbfa44633b09c86c9fe78aa596d54f61ce0113ac8cc4b7b81d24a738c942cea0

Observation 9f0c3f61-0d9f-4afc-9418-fb677d86d847 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

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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no resolver link, observed 2026-08-11T04:23:27.781635Z

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source=arxiv_source observed=2026-08-11T04:23:27.781635Z digest=sha256:b33adba54f5e10ac724686953a1a97d7aecd2812c022a30d200ad34ce30f4d40

Observation 2de4f55a-6c7e-4477-8d49-5e2424a85294 · outbound

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

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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source=arxiv_source observed=2026-08-11T04:23:27.784736Z digest=sha256:ed3ec3f79cfb860f7a8a5e84c33f41d373c227fc48da17256469c0d8db5d3b39

Observation a4487cd2-7b81-485d-acdd-51700ae2ee3c · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.787701Z

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source=arxiv_source observed=2026-08-11T04:23:27.787701Z digest=sha256:549d8a8ffeaf166c05fb5ccb9f5e09ebbafb3cbe15aab6c7920d7cd144696070

Observation 4d812500-a337-4fd6-a97b-73d3f121fce7 · outbound

This paper cites arXiv preprint arXiv:2601.05552 , year=.

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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source=arxiv_source observed=2026-08-11T04:23:27.791179Z digest=sha256:1b632b1c70eef28a6efb110e4e70fb82959d3a27be719a4dc6ffc1f37a7932eb

Observation 02c3630d-2343-4919-8d51-a63e4938ce09 · outbound

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

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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source=arxiv_source observed=2026-08-11T04:23:27.794767Z digest=sha256:c9869b19e29502040a3aff5c3e90375397d93b1ac6d82c7845d3311b851e2832

Observation e211d9f0-c81a-4907-8205-02dc0ea437c9 · outbound

This paper cites 2026 , doi =.

Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection 2026 , doi =

Reference 25

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no resolver link, observed 2026-08-11T04:23:27.797857Z

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source=arxiv_source observed=2026-08-11T04:23:27.797857Z digest=sha256:c54652e733d223d908ddeecdd6e85a6a7c2203788f998c15fa014f55ec8729fe

Observation c3e7c1b4-d693-476f-aab8-3c5396f5280e · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.801971Z

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source=arxiv_source observed=2026-08-11T04:23:27.801971Z digest=sha256:9976cda5923397159831d95280f7e206c962f0745f0a2401555869c87630dba4

Observation 66daed0e-2a5d-429e-bee4-4742c0509a5d · outbound

This paper cites International Conference on Pattern Recognition (ICPR) Workshops , pages =.

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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source=arxiv_source observed=2026-08-11T04:23:27.805036Z digest=sha256:01f0afd107c6909638e65934670a1ae429676afc1cc697d9812f1f9a39fc4422

Observation d7539d32-dc2f-4b87-922d-f73cfb1ce991 · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.808397Z

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source=arxiv_source observed=2026-08-11T04:23:27.808397Z digest=sha256:108b61df3c1acd1e2820893ccb41a4daf89c03542d04ac55a5855d1ece19aba9

Observation 376c699e-6a58-40ff-b5cf-b2fc35a220dc · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.811804Z

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source=arxiv_source observed=2026-08-11T04:23:27.811804Z digest=sha256:0418d109e1fe3e385e375bb073542b5241d2ab120aae28c095f1e3a07ef45626

Observation 33c297cf-e696-4089-bc1e-50531385c19d · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.814823Z

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source=arxiv_source observed=2026-08-11T04:23:27.814823Z digest=sha256:224eef85d725320f3b3b3c89d10a4d436bc84a4704db8185dc74ae999173c04d

Observation c7b5f72b-ca71-4ce3-a8f6-615ca0bb8e12 · outbound

This paper cites IEEE International Symposium on Industrial Electronics (ISIE) , pages =.

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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no resolver link, observed 2026-08-11T04:23:27.818623Z

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source=arxiv_source observed=2026-08-11T04:23:27.818623Z digest=sha256:08d9772e147952dfc08d1f6e1cb0639a34c2c2bfa02bfb668b8c15f67f17c562

Observation 1ed7195d-2f32-4cb3-be12-e49e91bce8e2 · outbound

This paper cites Computers in Industry , volume =.

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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source=arxiv_source observed=2026-08-11T04:23:27.821595Z digest=sha256:223607d4408ae6d0b9ea5768a41a0c6f5a21f3c762c5fb755443329f63950d5a

Observation 49e8c8e5-4a8c-4033-8515-0b707f748841 · outbound

This paper cites 2007 , doi =.

Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection 2007 , doi =

Reference 33

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no resolver link, observed 2026-08-11T04:23:27.825148Z

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source=arxiv_source observed=2026-08-11T04:23:27.825148Z digest=sha256:6e524b3b335ef87e1a24d88cb8bccc010b06ca14676d68169f014cf33a257ace

Observation 0da9f57d-7e6d-4255-9944-fdb87a5f0708 · outbound

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

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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no resolver link, observed 2026-08-11T04:23:27.828524Z

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source=arxiv_source observed=2026-08-11T04:23:27.828524Z digest=sha256:32d0a3b36b8c7eb3281d108b980b3da246173dcc9f3b4e8b9dd0aea5d2d676ff

Observation 4bbe8efb-e7a2-40a9-95af-7a80badb304a · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , pages =.

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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unresolved
no resolver link, observed 2026-08-11T04:23:27.837249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.837249Z digest=sha256:c01b76af0f0beae4b2a1be7356aaecf311d3ed5a26f3f3ac72d33fde273680fc

Observation 2e3a9cbf-a027-4746-8a39-f57256f41a86 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

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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unresolved
no resolver link, observed 2026-08-11T04:23:27.868780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.868780Z digest=sha256:645b1ea532fde709672827024e32bf8b190cd5ceff2cc571d280b181efdfb1d7

Observation 89ef4a29-2a6b-49c7-b07a-9c7b89f88c25 · outbound

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

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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unresolved
no resolver link, observed 2026-08-11T04:23:27.908545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.908545Z digest=sha256:0ac6f4ee0152c094fdff7d475195d1a054d88274bae720835d6ef0d386419a56

Observation bd6df218-7ffa-43b4-8307-3b703031ef47 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

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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unresolved
no resolver link, observed 2026-08-11T04:23:27.929525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.929525Z digest=sha256:d503f550b7dcc6ab048b3f807fd6a80cde38a250c71937cfd85e6912cf64c7cf

Observation 1567aa20-1013-4c39-bd8b-9e9f089f2114 · outbound

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

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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unresolved
no resolver link, observed 2026-08-11T04:23:27.993615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.993615Z digest=sha256:c6aa1d2e0855c92433551b60c7920bef326ad9aac938c7c7506fe45a9930d75d

Observation 4c9ed29b-0883-4eaf-b006-ec612decd7fe · outbound

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

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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unresolved
no resolver link, observed 2026-08-11T04:23:27.996877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:27.996877Z digest=sha256:cab222e29aa7fafb7f7a35a6c5d428bc19daca0473133109401672cb81ad27a7

Observation 37d89c76-e4b4-4836-aea0-85d5edf96cd7 · outbound

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

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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unresolved
no resolver link, observed 2026-08-11T04:23:28.000471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:28.000471Z digest=sha256:53b80553aed6719de569df9adf0bce7bf822b02521af4dc1acaa8364cd5a670b

Observation c562fe0b-ab8d-4e4d-a8a1-604f18f9dfd5 · outbound

This paper cites 2022 , doi =.

Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection 2022 , doi =

Reference 42

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unresolved
no resolver link, observed 2026-08-11T04:23:28.004268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:28.004268Z digest=sha256:083fea535963fd186ae2fc953d619814c0926116f6d57dde93a694d4b61d1268

Observation f3445b19-e35b-44c5-8191-210eaa25a05a · outbound

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

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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unresolved
no resolver link, observed 2026-08-11T04:23:28.009509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:28.009509Z digest=sha256:fd5f8e855fcae71f384e65033e9fabe028913c9fc6dac4aa4b5ec54ea86402af

Observation 4167a623-1087-4fea-9ec5-54e465cea0fd · outbound

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

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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unresolved
no resolver link, observed 2026-08-11T04:23:28.013214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:28.013214Z digest=sha256:404bcdbc972e43ef6d2a6d68b50092b9934e94aa59e669a373abb15c14ae92cf

Observation 2b5afecb-a7e5-42ac-bb9b-f314c13c7fb5 · outbound

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

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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unresolved
no resolver link, observed 2026-08-11T04:23:28.016890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:28.016890Z digest=sha256:7fb3365a921e6a4624c72e698b02d458d5a6d615da15b10e40325f14467c100e

Observation 4f89772e-1d92-4b72-86af-a2d472455975 · outbound

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

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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unresolved
no resolver link, observed 2026-08-11T04:23:28.020413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:23:28.020413Z digest=sha256:4e71a1483bef4ed75ad34fc4779f96e1360821231bc039a6f6d2bf7fe4615af1

Pith citing papers

No inbound Pith citation observations are available.