Paper Citation Record · LEDGER

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks

As of 16 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.02795.

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

pith.paper-citation-record.v1
2412.02795 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:10:26.213394Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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 fuzzy36
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 132670f2-0e82-4785-93bd-dca2a91fa232 · outbound

This paper cites A systematic review of robotics research in support of in-home care for older adults.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks A systematic review of robotics research in support of in-home care for older adults

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.674280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ca320963-0da2-4bec-bc53-d0eb8c0eaa1a · outbound

This paper cites Sim- to-real transfer for vision-and-language navigation.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Sim- to-real transfer for vision-and-language navigation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.666954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d2ff0b2e-d2c9-4c3a-b8ee-079284a9bcf4 · outbound

This paper cites Vision-and-language navigation: In- terpreting visually-grounded navigation instructions in real environments.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Vision-and-language navigation: In- terpreting visually-grounded navigation instructions in real environments

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.657826Z

Source-reported events for the cited work

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Observation 83f031aa-cd6f-4581-a994-5fc7b946a60b · outbound

This paper cites Synthesizing robust adversarial examples.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Synthesizing robust adversarial examples

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.648982Z

Source-reported events for the cited work

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Observation 027f1a19-bb3f-46b4-8734-51dab85aa9fd · outbound

This paper cites Joseph, and J.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Joseph, and J

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.640709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a54ae42f-ec2f-4d1c-a8be-06eafb833d1d · outbound

This paper cites Brown, Dandelion Man ´e, Aurko Roy, Mart´ın Abadi, and Justin Gilmer.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Brown, Dandelion Man ´e, Aurko Roy, Mart´ın Abadi, and Justin Gilmer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.631859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 82a9038a-1f9a-4707-bde6-12971609695e · outbound

This paper cites Matterport3d: Learning from rgb-d data in indoor environments.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Matterport3d: Learning from rgb-d data in indoor environments

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.620716Z

Source-reported events for the cited work

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Observation ef2846b0-35a4-497c-8754-f3f17ce5debb · outbound

This paper cites History aware multimodal transformer for vision-and-language navigation.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks History aware multimodal transformer for vision-and-language navigation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.609589Z

Source-reported events for the cited work

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Observation dcedfd6a-b978-439d-8f62-ca614dd98ea6 · outbound

This paper cites How deep learning sees the world: A survey on ad- versarial attacks & defenses.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks How deep learning sees the world: A survey on ad- versarial attacks & defenses

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.598175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2761bce1-26c4-432d-a821-818d96dceb32 · outbound

This paper cites Embodied Question Answer- ing.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Embodied Question Answer- ing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.578336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 363dbdfe-5c1a-47c0-8a11-3da3dfacfdb7 · outbound

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

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Source-reported events for the cited work

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Observation d5f716bb-94a8-4dde-b8f8-17842b4dd117 · outbound

This paper cites Adversarial camouflage: Hiding physical-world attacks with natural styles.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Adversarial camouflage: Hiding physical-world attacks with natural styles

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.560572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40c41943-8eae-4046-b2b3-2762facb07b2 · outbound

This paper cites Robust physical-world attacks on deep learning visual classification.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Robust physical-world attacks on deep learning visual classification

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.548337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1cbbbb4d-d94c-41c3-89b8-3cef54cb4f64 · outbound

This paper cites Vision-and-language navigation: A survey of tasks, methods, and future directions.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Vision-and-language navigation: A survey of tasks, methods, and future directions

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.538746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8aeaddc2-74a5-4f31-9141-98a9ecf72055 · outbound

This paper cites Huang, Nicolas Papernot, Ian J.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Huang, Nicolas Papernot, Ian J

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.529046Z

Source-reported events for the cited work

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Observation a9ae85ac-b165-4613-97de-7254812e46a9 · outbound

This paper cites General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping

Reference 16

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Observation 1baae923-e5b7-4dd2-a14a-365c9c83aa75 · outbound

This paper cites Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, and Gang Wang.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, and Gang Wang

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.519551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a2c5f43-014a-4246-9001-406ec51c94c8 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Adam: A Method for Stochastic Optimization

Reference 18

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Source-reported events for the cited work

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Observation a5a35ecb-9be6-480b-ac94-bb3e1f377dce · outbound

This paper cites Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

Reference 19

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Observation ad5c1782-1c9c-4b32-8705-5e0ed48b248a · outbound

This paper cites Goodfellow, and Samy Bengio.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Goodfellow, and Samy Bengio

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.510845Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 112b8228-ff14-4ca7-a274-911c27faf220 · outbound

This paper cites Schmidt, and J.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Schmidt, and J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.501515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8ecbdd90-95a8-4127-ab2a-62f5d179e99d · outbound

This paper cites Tactics of adversarial attack on deep reinforcement learning agents.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Tactics of adversarial attack on deep reinforcement learning agents

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.491563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c40c181-2e66-4e20-8cff-e9afa19da988 · outbound

This paper cites Maybank, and Dacheng Tao.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Maybank, and Dacheng Tao

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.480892Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4464b65c-ba23-48da-a184-6edfc7c66739 · outbound

This paper cites An image is worth 1000 lies: Adversarial transferability across prompts on vision-language models, 2024.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks An image is worth 1000 lies: Adversarial transferability across prompts on vision-language models, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.472475Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5975df4f-41b6-4702-96a6-a7003f299323 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Towards deep learning models resistant to adversarial attacks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.463404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2d024a95-6063-44e9-ad27-3406a4c93cd0 · outbound

This paper cites Isometric 3d adversarial examples in the physical world.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Isometric 3d adversarial examples in the physical world

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.453224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9d9a8671-d6e0-4b0a-98ae-8b71fbecc6ef · outbound

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Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Unresolved cited work

Reference 27

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Observation 5c5c851b-e855-47ec-9d08-79bb64ee9670 · outbound

This paper cites Universal adversarial perturba- tions.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Universal adversarial perturba- tions

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.439141Z

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Observation 8a7421a1-4cfa-4828-a159-2125bc2ae16e · outbound

This paper cites TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

Reference 29

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Observation 93fdbca3-216b-4ca3-80ea-30ea209b330e · outbound

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Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Unresolved cited work

Reference 30

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Observation 68a2bc31-ec94-49b2-89f7-f567a85b0552 · outbound

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Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Unresolved cited work

Reference 31

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Observation 3201284d-173f-4668-9c06-fa041a6a0b75 · outbound

This paper cites Reverie: Remote embodied visual referring ex- pression in real indoor environments.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Reverie: Remote embodied visual referring ex- pression in real indoor environments

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.413404Z

Source-reported events for the cited work

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Observation 1776d5ce-f2bd-476f-86cf-da8d359b0866 · outbound

This paper cites Consistent attack: Universal adversarial perturbation on embodied vision navigation.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Consistent attack: Universal adversarial perturbation on embodied vision navigation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.403865Z

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Observation d67958aa-4776-473f-817c-759d5dc916b2 · outbound

This paper cites Ad- versarial attack and defense technologies in natural language processing: A survey.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Ad- versarial attack and defense technologies in natural language processing: A survey

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.394816Z

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Observation 1e599b11-00f4-4f79-aac8-2efdb9e8b305 · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Accelerating 3D Deep Learning with PyTorch3D

Reference 35

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Observation bd8a6556-ec37-4cda-a294-02975898ec9c · outbound

This paper cites Token-modification adversarial attacks for nat- ural language processing: A survey.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Token-modification adversarial attacks for nat- ural language processing: A survey

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.385956Z

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Observation ac73891d-dd45-48e7-bb65-b99fc81faf0d · outbound

This paper cites Ai-driven warehouse automation: A comprehensive review of systems.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Ai-driven warehouse automation: A comprehensive review of systems

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.376809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 678d062d-4bd0-461a-8503-10ff5e8a64bc · outbound

This paper cites Goodfellow, and Rob Fergus.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Goodfellow, and Rob Fergus

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.366679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6e595e7-6934-46d6-aea9-9c56f36c2920 · outbound

This paper cites Dual attention suppression attack: Generate adversarial camouflage in physical world.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Dual attention suppression attack: Generate adversarial camouflage in physical world

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.356510Z

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Observation ce5d036d-c0ce-41f6-bf29-5e5251bd13e3 · outbound

This paper cites Making an invisibility cloak: Real world adversarial attacks on object detectors.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Making an invisibility cloak: Real world adversarial attacks on object detectors

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.346191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dcdfb028-6912-41ce-b952-f78e899b1893 · outbound

This paper cites Behavioral analysis of vision-and-language navigation agents.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Behavioral analysis of vision-and-language navigation agents

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.335688Z

Source-reported events for the cited work

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Observation e30d6c7b-9ffa-4adb-9292-1808aba96710 · outbound

This paper cites Towards Improving Adversarial Training of NLP Models.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Towards Improving Adversarial Training of NLP Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T23:10:26.200465Z

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Observation b223e477-8345-4ceb-bbae-d53d7983d458 · outbound

This paper cites Liu, Duane S.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Liu, Duane S

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.325212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ebcc2d1c-13c4-44de-8ab3-b8b45453c61d · outbound

This paper cites 3d adversarial attacks beyond point cloud.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks 3d adversarial attacks beyond point cloud

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.316063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e84fd300-5044-48e1-b414-759d0678cf0c · outbound

This paper cites Navigation as the attacker wishes? towards building byzantine-robust embodied agents under federated learning.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Navigation as the attacker wishes? towards building byzantine-robust embodied agents under federated learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.306301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 63be7eac-fa36-4f5a-89d5-aae48440201c · outbound

This paper cites On evaluating adversarial robustness of large vision-language models.

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks On evaluating adversarial robustness of large vision-language models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:10:26.296029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.