Paper Citation Record · LEDGER

Evaluating the Adversarial Robustness of Detection Transformers

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.18718.

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

pith.paper-citation-record.v1
2412.18718 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:36:16.819416Z

measured 30 of 30 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

30 of 30 outbound references displayed

verified exact1
verified fuzzy9
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe6a3936-355a-4c15-804a-4f83592d92bc · outbound

This paper cites Object Detection in Autonomous Vehicles: Status and Open Challenges.

Evaluating the Adversarial Robustness of Detection Transformers Object Detection in Autonomous Vehicles: Status and Open Challenges

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.680677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a87a32-af3c-42c4-bc90-4fe9b48ae0c3 · outbound

This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

Evaluating the Adversarial Robustness of Detection Transformers Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.686343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4dc20bb-0114-4f7f-a2bd-b15a7d935aa4 · outbound

This paper cites Attention is all you need,.

Evaluating the Adversarial Robustness of Detection Transformers Attention is all you need,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.691489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1ec70c7-315b-44fe-b5f0-967ec0f40cee · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Evaluating the Adversarial Robustness of Detection Transformers An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.696717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19df2f67-b808-431a-ad2f-36012a947219 · outbound

This paper cites End-to-end object detection with transformers,.

Evaluating the Adversarial Robustness of Detection Transformers End-to-end object detection with transformers,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.701649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1868163f-df0d-45bd-b01b-bce933dd1a85 · outbound

This paper cites Intriguing properties of neural networks.

Evaluating the Adversarial Robustness of Detection Transformers Intriguing properties of neural networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.706743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff7cc611-eee1-42ef-a70c-12ebc6e92e6b · outbound

This paper cites Learning ordered top-k adversarial attacks via adversarial distillation,.

Evaluating the Adversarial Robustness of Detection Transformers Learning ordered top-k adversarial attacks via adversarial distillation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:17.242094Z

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.

Observation 1f8d8731-94dd-499a-988c-8dea7c795290 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Evaluating the Adversarial Robustness of Detection Transformers Explaining and Harnessing Adversarial Examples

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.716834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0fde5fc-b64e-432b-b33e-99e3edff39f3 · outbound

This paper cites Towards the Science of Security and Privacy in Machine Learning.

Evaluating the Adversarial Robustness of Detection Transformers Towards the Science of Security and Privacy in Machine Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.721977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2920700-db99-4695-95dc-1d56142b3924 · outbound

This paper cites On the robustness of vision transformers to adversarial examples,.

Evaluating the Adversarial Robustness of Detection Transformers On the robustness of vision transformers to adversarial examples,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:17.226182Z

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.

Observation a18ef748-11ff-4951-af76-e444dda4cd58 · outbound

This paper cites On the Adversarial Robustness of Vision Transformers.

Evaluating the Adversarial Robustness of Detection Transformers On the Adversarial Robustness of Vision Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.731567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fde17cf2-bde2-4adc-8b87-cb349fdfdc6d · outbound

This paper cites Detects ec: Evaluating the robustness of object detection models to adversarial attacks,.

Evaluating the Adversarial Robustness of Detection Transformers Detects ec: Evaluating the robustness of object detection models to adversarial attacks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:17.210633Z

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.

Observation d9e7dec0-4b8b-4105-a84f-08ce971d2901 · outbound

This paper cites Adversarial attacks on faster r-cnn object detector,.

Evaluating the Adversarial Robustness of Detection Transformers Adversarial attacks on faster r-cnn object detector,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:17.195036Z

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.

Observation d0d32951-dad4-4b1b-bc1d-4333ee2439dc · outbound

This paper cites Anchor detr: Query design for transformer-based detector,.

Evaluating the Adversarial Robustness of Detection Transformers Anchor detr: Query design for transformer-based detector,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:17.179122Z

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.

Observation 20d21516-0a08-4632-bf41-272d9ef6becd · outbound

This paper cites Efficient DETR: Improving End-to-End Object Detector with Dense Prior.

Evaluating the Adversarial Robustness of Detection Transformers Efficient DETR: Improving End-to-End Object Detector with Dense Prior

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.750140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c1f0d3-208f-4408-9d3b-52ee58ccb97c · outbound

This paper cites Transferable adversarial attacks on vision transformers with token gradient regularization,.

Evaluating the Adversarial Robustness of Detection Transformers Transferable adversarial attacks on vision transformers with token gradient regularization,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.754940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b63b369-8b68-41b7-a10e-27d3169e8f48 · outbound

This paper cites Towards transferable adversarial attacks on vision transformers,.

Evaluating the Adversarial Robustness of Detection Transformers Towards transferable adversarial attacks on vision transformers,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:17.153416Z

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.

Observation eac37712-702b-42a7-94fe-149b860f6cb9 · outbound

This paper cites Generating transferable adversarial examples against vision trans- formers,.

Evaluating the Adversarial Robustness of Detection Transformers Generating transferable adversarial examples against vision trans- formers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:17.137400Z

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.

Observation 1bcc6b94-ac63-4b7b-b41b-abe8c16c0799 · outbound

This paper cites Big transfer (bit): General visual representation learn- ing,.

Evaluating the Adversarial Robustness of Detection Transformers Big transfer (bit): General visual representation learn- ing,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:17.121707Z

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.

Observation 1fdb3f7a-1ab3-4d12-ace9-525a0f750922 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Evaluating the Adversarial Robustness of Detection Transformers Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.773135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa5ff650-e556-4cb9-acdf-75befa86a58d · outbound

This paper cites Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples,.

Evaluating the Adversarial Robustness of Detection Transformers Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.778011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7789a3-1e0a-4dde-9d4c-c0c17d00e112 · outbound

This paper cites Towards evaluating the robustness of neural networks,.

Evaluating the Adversarial Robustness of Detection Transformers Towards evaluating the robustness of neural networks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.782267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c06078-2bb9-48fd-91c6-08ea7226611a · outbound

This paper cites Give me your attention: Dot-product attention considered harmful for adversarial patch robustness,.

Evaluating the Adversarial Robustness of Detection Transformers Give me your attention: Dot-product attention considered harmful for adversarial patch robustness,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:17.085284Z

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.

Observation 1a9bc561-287e-47c9-8e40-ef57705642c5 · outbound

This paper cites Object-aware transfer-based black-box adversarial attack on object detector,.

Evaluating the Adversarial Robustness of Detection Transformers Object-aware transfer-based black-box adversarial attack on object detector,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.791510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4857418-0e6d-4452-9410-c12114f334a4 · outbound

This paper cites Transferable Physical Attack against Object Detection with Separable Attention.

Evaluating the Adversarial Robustness of Detection Transformers Transferable Physical Attack against Object Detection with Separable Attention

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:36:16.879219Z

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.

Observation 35aec70c-2213-4ebc-992f-2e6e6590091b · outbound

This paper cites Faster r-cnn: Towards real- time object detection with region proposal networks,.

Evaluating the Adversarial Robustness of Detection Transformers Faster r-cnn: Towards real- time object detection with region proposal networks,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.800777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 543fe5fb-3af7-4ec9-a78a-4fbf20d4e254 · outbound

This paper cites Ssd: Single shot multibox detector,.

Evaluating the Adversarial Robustness of Detection Transformers Ssd: Single shot multibox detector,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.805221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6418cc7c-c2fa-4257-b6bb-ddd37eea057a · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Evaluating the Adversarial Robustness of Detection Transformers Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.810323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcd99b3d-6a17-42a8-a4de-a0c09c04b226 · outbound

This paper cites Microsoft coco: Common objects in context,.

Evaluating the Adversarial Robustness of Detection Transformers Microsoft coco: Common objects in context,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.814830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59527074-c398-495a-af58-7543a1143a60 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

Evaluating the Adversarial Robustness of Detection Transformers Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.819416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.