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Paper Citation Record · LEDGER

Embodied Red Teaming for Auditing Robotic Foundation Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2411.18676.

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

pith.paper-citation-record.v1
2411.18676 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:04:10.830464Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T19:28:52.760162Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 574099a1-4013-431d-a35b-50878c084d2f · inbound

Predictive Red Teaming: Breaking Policies Without Breaking Robots cites this paper.

Predictive Red Teaming: Breaking Policies Without Breaking Robots Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T15:04:10.830464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:04:10.830464Z digest=sha256:25194ca09de532d946a5f7db571c6515d8828492201add7ee87219538f436815

Observation a04af57b-0804-441e-9000-44ea52aa744a · inbound

Adversarial Attacks on Robotic Vision Language Action Models cites this paper.

Adversarial Attacks on Robotic Vision Language Action Models Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.520328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.520328Z digest=sha256:d259755c979f7ef86b3863a591c2d33aad0122eb979657315754b0f091140d2b

Observation fcca2d56-e2a2-42c1-a0b0-6135a07b7203 · inbound

Steering Robots with Inference-Time Interactions cites this paper.

Steering Robots with Inference-Time Interactions Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:26:24.194637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:26:24.194637Z digest=sha256:f43d867eae7835f7f880bf74457ad2db131907613a3d3c7afa2345a491036dbb

Observation 4c928690-0c2d-4622-8b08-f0b75b5fff82 · inbound

Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics cites this paper.

Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T06:03:25.988323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:03:25.988323Z digest=sha256:190a3476c43a1be88ae976353538a2aa36e18fe3ef5ea357c442f9a5b6ef6b8e

Observation 705c988c-fcb7-4fb4-a65b-272ad2662d4b · inbound

State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space cites this paper.

State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T12:18:22.136386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:18:22.136386Z digest=sha256:25a1319ad9e1f16fec60744fdc8ad2ffc1dafba60024590d7f647e36e975158d

Observation 671c7e9f-175e-4579-b6f9-eb73579c854c · inbound

Red-Teaming Vision-Language-Action Models via Quality Diversity Prompt Generation for Robust Robot Policies cites this paper.

Red-Teaming Vision-Language-Action Models via Quality Diversity Prompt Generation for Robust Robot Policies Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:19:57.992553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T11:18:36.479092Z digest=sha256:514073b9db889851e963a8a6be3579fb18676b7754690de6b92705cafce1ef47

Observation e8d1808a-5d7f-49a7-861e-39c2ebbd44ec · inbound

SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models cites this paper.

SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:08:25.769157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T01:06:42.421062Z digest=sha256:255e3f3282a57869a1164d2d62f18da3d7094a60415662060b87a3caef15fae2

Observation b86c841c-52f8-4d79-b404-cc7f4c10b039 · inbound

Uncovering Linguistic Fragility in Vision-Language-Action Models via Diversity-Aware Red Teaming cites this paper.

Uncovering Linguistic Fragility in Vision-Language-Action Models via Diversity-Aware Red Teaming Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:25:51.614220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:53:03.177349Z digest=sha256:f03525b88c88aab90cc89c2fd9ffb2e70c60ba233984a5be4e213e69606187c3

Observation 9c18422d-0831-4028-a156-f8c08af529db · inbound

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 169

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:23:04.027245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T22:20:31.623849Z digest=sha256:491748a568bb145864a263180a2ea2c27aefde4d21f1f87cbb5dfb99ca1741b0

Observation 3ad688d6-6221-441d-bdfa-e4f248d0acca · inbound

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 169

Resolution
unresolved
no resolver link, observed 2026-07-13T17:08:58.831798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:08:58.831798Z digest=sha256:e842ee3d2da7207936b3fac65e8601e305df7f9813ba66a6758c7b57d26dfd00

Observation abde5f63-2870-4824-9907-2cd023ae57a4 · inbound

Towards Auditing AI Systems in the Wild cites this paper.

Towards Auditing AI Systems in the Wild Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:28:52.761653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T01:46:10.391191Z digest=sha256:1bbd0c1f801452cee23ae1ca6b94e30c0b444c04f4f995c6ec267d43369257b6

Observation 3c6c3507-fae9-42c3-919e-dc49c1e98a9f · inbound

Prompt-Driven Exploration cites this paper.

Prompt-Driven Exploration Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 91

Resolution
unresolved
no resolver link, observed 2026-07-13T06:21:42.026251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T06:21:42.026251Z digest=sha256:45b15aff6fdd4daec1310ba732e6fbede2553076ac774d4c763556a33f36cd2b

Observation d90804f2-e05c-4b02-895f-2ef51b78dfea · inbound

Code Monitor Red Teaming for Public-Test-Passing Code cites this paper.

Code Monitor Red Teaming for Public-Test-Passing Code Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:25.024150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:12:25.024150Z digest=sha256:c49481a17bc41cb57b93876c01e8f124f5f97bff403209f601522cee5ff9c0dd

Observation df6245d6-3efc-452c-9e6d-5365c9915b80 · inbound

RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models cites this paper.

RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-30T14:45:01.994511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:45:01.994511Z digest=sha256:4bac77bff33bc366a06643db9756e2bbec8f3b4bc03082c70366492d8221edff

Observation 91018a86-7d02-4932-b3bb-b735a798e16a · inbound

RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models cites this paper.

RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T10:23:16.532893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:23:16.532893Z digest=sha256:a503706c379ef66e103c22005e67a2801bf1b44dfb28077157c111200a3af7a2