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Paper Citation Record · LEDGER

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2606.01892.

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

pith.paper-citation-record.v1
2606.01892 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:58:10.771338Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44c74f43-7898-4778-83a4-65522199ffb6 · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation ACM Transactions on Intelligent Systems and Technology , volume=

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:80abecbe0a0a3af14b62df71c8afb4cab78f76af4295e462e7c2d02ffe1293d2

Observation c7f3e79d-4c0b-464f-ba26-f6a2cc5978f4 · outbound

This paper cites IEEE/ASME Transactions on Mechatronics , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE/ASME Transactions on Mechatronics , volume=

Reference 2

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:418e8cbecd324d62092e46941cc105646fce4da0b0656e4dd3432c3b62a5bb26

Observation 610cae4f-611c-456a-98c0-4f58e50e3576 · outbound

This paper cites Artificial Intelligence Review , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Artificial Intelligence Review , volume=

Reference 3

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:733fcd13c5d63d92b01bc558d972ae428f0a933ec9a1b813295320a407eb3c04

Observation 3f1b15b0-3e33-435a-8319-106dc5894ad0 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=

Reference 4

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:a24b0b8cbf03d5f4777145952701d7030cc41802fe54e8e113cf396ec6c5800c

Observation e734ad60-0f19-4c87-9d04-8bb0faecb295 · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 5

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:70e631a9c14fa3963471c86eddb72af1c51051795bd1bd6bec575c91c0dc4743

Observation 8b22dfed-409c-4a15-85f3-2ad63292d71b · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

Reference 6

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:57f9f80b564d585cf58cfdd5f7d7ff14ddc0bc11b1aaa52dfa9c9f97f6dc262b

Observation 42dc45b5-8d70-4c9f-91cb-bd2f1916255b · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 7

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:f0faad63cbbc5a52812745c05f13a959c545561e99a9fca8dab1a57b234b90d4

Observation f9f2018d-9a2a-49d4-b001-59ba2d54111f · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 8

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:87b02208e465814544d62defd4fb617b3b7a76ba3db2b97d88e6acace77d4979

Observation 9a5ae048-dbc3-4a3e-a97e-73bc0811778c · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 9

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:77dfb1697a3649e23707cba9dd921a55e2ac4e7b233094a468b21b2c0bdad3b9

Observation 5057e1a2-685a-49c8-9c28-1ea4d153a24b · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 10

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:d2bbf8185fa6d283dc46c486b0e18da52fcbf09c3a0f92a9be8c7f9f1520af62

Observation 6abc0aba-b36a-4820-bc1d-0d9124ddc0ec · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

Reference 11

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:21ca17e0e721d9f7a8fdae0026637f20dae2ee2f4795f30c4273cc77f9f8abb2

Observation 0e1d48ab-f3f7-47f8-8ec1-cb6879e2c609 · outbound

This paper cites Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 12

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metadata mismatch
arxiv_id, observed 2026-07-01T22:56:19.445962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:2dcd55977bf5a754601956cca27e4310983c8af9decd6c305f10f96b58c18b04

Observation 144e2555-4c51-40eb-8b6a-3912707149ed · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 13

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no resolver link, observed 2026-06-28T14:58:10.771338Z

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:eece654241a8377ae0af63f5f208a877457311ac99b2fbeed13b682a4b4a4e67

Observation 35325241-6e5c-4ff2-8955-6c7cfc18ea9b · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 14

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no resolver link, observed 2026-06-28T14:58:10.771338Z

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:a1bdedbc48054b2f9a6b80bf86a74046a20d3c380bc80cfb941c325d08f456c5

Observation a489deec-3b95-4bb6-a39c-e1a2975465d7 · outbound

This paper cites Li and T.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Li and T

Reference 15

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metadata mismatch
arxiv_id, observed 2026-07-01T22:56:19.449321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:675d5225b019541374d0d18bf35541fc7aba907c3e9823579ba3f3306dcf7fe7

Observation 0670d0f6-0bf7-4c42-b119-237712b933c6 · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 16

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:31ed3982ac653c46c39b7e37eedaf941fda703fcdf638da988ca5b32927c5f1b

Observation 53b9554c-cce0-4eb6-a7b5-1ae0ffe436b7 · outbound

This paper cites IEEE Robotics and Automation Letters , year=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE Robotics and Automation Letters , year=

Reference 17

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no resolver link, observed 2026-06-28T14:58:10.771338Z

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:35f2fed395c3d05d7a397655231a01afbf99f473d01b96e6407ef64f67f19732

Observation 5db099f4-12ca-4b69-b6ae-fde5e4305479 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE Transactions on Intelligent Transportation Systems , volume=

Reference 18

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:ad6794bca5ccaa6cc8bfb73375271810660a2425aea0c7ca56c565469c1a0e37

Observation 9b2c7378-4752-4e1b-ac6d-4ef35dfc74d7 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE Transactions on Intelligent Transportation Systems , volume=

Reference 19

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:a6a2e2c0650152a66a7ca8bca7afcbfd97d063fac89cb1f9f1b8391b76791f7a

Observation fb72cd9d-5113-43f4-85c1-659d3be22c52 · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE Transactions on Industrial Informatics , volume=

Reference 20

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:710eaa9cb2e672fe70c41bfb91cfb8923a4c526b7ffb52c83b1b35a0fe154d8e

Observation d7f07ea6-835b-4452-86e7-3fbc1206dc8e · outbound

This paper cites ACM Computing Surveys , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation ACM Computing Surveys , volume=

Reference 21

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:6c25d17c4d839e1424a104a7dd29c2de87db9ee0f86e001b9454114b02a49272

Observation 53438365-ba70-4962-8da3-8b8025a3c7aa · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 22

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no resolver link, observed 2026-06-28T14:58:10.771338Z

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:e85b1ff916be96d66414db7059623c97067cce0735f97727b219c18353ae3251

Observation a7497d29-86e1-40ba-b9e6-c8868594365d · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 23

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:7f9f234aea2f5be4e41d75abdc43be1c2e9a9008552899b0cd95b181792fb3ee

Observation 92604f52-84ab-4118-8ff9-ad41f3ce14db · outbound

This paper cites ACM Transactions on Information Systems , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation ACM Transactions on Information Systems , volume=

Reference 24

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:de1c3972bde48dd72b739150706f64963625b75a98b6f54d55611bcbd02cb8fb

Observation 0c956359-f69c-4aaf-bae5-e38a3a5cd31e · outbound

This paper cites The Second Workshop on New Frontiers in Adversarial Machine Learning , year=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation The Second Workshop on New Frontiers in Adversarial Machine Learning , year=

Reference 25

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:c7b415b282dc926390e3039acf708793f3b038a6c451431bc5d67dac1b4438be

Observation af737a64-1b90-4095-871d-c579345929cc · outbound

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

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 26

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no resolver link, observed 2026-06-28T14:58:10.771338Z

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:18180782408718e62af95c091bd1c22f4f3095516942bf3be1b4e1b00ccbfe01

Observation 60655058-7441-4997-a3a3-f1f2d8d1f246 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 27

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no resolver link, observed 2026-06-28T14:58:10.771338Z

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:598e1bcb23e8319d969f7ad078417fdebbed534e5f4fb5df9e607401857100ff

Observation 8faee252-8291-4d97-be1e-d33f1edba723 · outbound

This paper cites 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 28

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no resolver link, observed 2026-06-28T14:58:10.771338Z

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:dab8cdfaadae057226c25a0aad1c9a530c6d78c4106f484b1260c82f7ae857ab

Observation 50ae41cf-add2-4415-9910-7d37f9d9a5a9 · outbound

This paper cites IEEE Robotics and Automation Letters , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE Robotics and Automation Letters , volume=

Reference 29

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no resolver link, observed 2026-06-28T14:58:10.771338Z

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:e8905a183c640bb35325ef2abbc3efe65e3ee19ba7b1b52d15849748164c5bc7

Observation b86912c8-f95c-4b9d-931a-7aa01242c83b · outbound

This paper cites IEEE Robotics and Automation Letters , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE Robotics and Automation Letters , volume=

Reference 30

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no resolver link, observed 2026-06-28T14:58:10.771338Z

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:17b07309f5d1e382b2a55ca7bfb2937931d9e1ec8cf1373f196d9b2254d4fcc8

Observation cdf143dc-9b47-4642-bf81-d72fabf09d28 · outbound

This paper cites Artificial intelligence safety and security , pages=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Artificial intelligence safety and security , pages=

Reference 31

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no resolver link, observed 2026-06-28T14:58:10.771338Z

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:f4a070bc84177c3b4f898b9bb48120f1155567a64b4ed9a4578f4308ea19c625

Observation 899e3055-5b5c-40e2-8dbd-3b6715ca03fc · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Explaining and Harnessing Adversarial Examples

Reference 32

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metadata mismatch
local_arxiv, observed 2026-07-01T22:56:19.442701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:0abdb6f85bc5f794de28ad946bbe731e70effe375d0d23e0bd3e1ab2177ff84d

Observation 37aed2fe-e837-48fc-b12b-51adc4ff3410 · outbound

This paper cites IEEE transactions on medical imaging , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE transactions on medical imaging , volume=

Reference 33

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:5ab89bf1955b364233e161150ed2a0ee87a5f1263d7128c45024383a1724fe03

Observation 88c2840b-5ee3-4147-a246-25ada980ee48 · outbound

This paper cites IEEE/ASME Transactions on Mechatronics , volume=.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation IEEE/ASME Transactions on Mechatronics , volume=

Reference 34

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source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:56657272a16252164915e8508a6b367bf026512736fd51fbc22744d85a6645a1

Pith citing papers

No inbound Pith citation observations are available.