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Paper Citation Record · LEDGER

Compromising Embodied Agents with Contextual Backdoor Attacks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2408.02882.

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

pith.paper-citation-record.v1
2408.02882 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:07:37.414931Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T05:31:07.634677Z

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 16fec0e2-bd22-4f0b-b475-0032b4a95ff0 · inbound

Robust Anti-Backdoor Instruction Tuning in LVLMs cites this paper.

Robust Anti-Backdoor Instruction Tuning in LVLMs Compromising Embodied Agents with Contextual Backdoor Attacks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:07:37.414931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:07:37.414931Z digest=sha256:07e4638aa47a3c6fce241869bd1b9ccec28a83c2b83fb1f4cc811d86ff20a866

Observation a1da663a-bcce-4014-8b83-b66cb803da3f · inbound

RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation cites this paper.

RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation Compromising Embodied Agents with Contextual Backdoor Attacks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T14:20:40.094761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:20:40.094761Z digest=sha256:1363d418f74777d895123adaa0297e5313f4451721ff3558adca2aab0cbc4408

Observation f8650021-22c3-4ac1-a775-dcdb8dc62974 · inbound

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models cites this paper.

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models Compromising Embodied Agents with Contextual Backdoor Attacks

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:05:49.109311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T20:14:02.553313Z digest=sha256:7997600f76a0af748bfa0a66a8829943cf45048b79dfed914158242e3004ab37

Observation e4c125f9-1e6e-44ea-b509-7b0c7750d11f · inbound

FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models cites this paper.

FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models Compromising Embodied Agents with Contextual Backdoor Attacks

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:23:03.809610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T22:20:35.818770Z digest=sha256:007400ec32d1ae4a2bfeadaa2709e29888e00ffd3ac8bc0e0e37478c473963ca

Observation dc051f90-6580-4817-8c41-15d02651089f · 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 Compromising Embodied Agents with Contextual Backdoor Attacks

Reference 219

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:04.307443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T22:20:31.623849Z digest=sha256:91232982d9d06e8029e53ba16a53c888110eeae379b47e0ea228bf8a2adc26ba

Observation 40291a71-9aa8-451c-8356-48d634841dad · 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 Compromising Embodied Agents with Contextual Backdoor Attacks

Reference 222

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=sha256:46a37d073d0640f13fda99164046f221b94fcdd074346a35e5c54e94050ee0d2

Observation 51c4523f-55be-4dbb-a2d5-daabfe48d8c0 · inbound

Enhancing Agent Safety Judgment: Controlled Benchmark Rewriting and Analogical Reasoning for Deceptive Out-of-Distribution Scenarios cites this paper.

Enhancing Agent Safety Judgment: Controlled Benchmark Rewriting and Analogical Reasoning for Deceptive Out-of-Distribution Scenarios Compromising Embodied Agents with Contextual Backdoor Attacks

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:31:13.157757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-07T16:57:28.155229Z digest=sha256:ea9d593a2bb530caa920334b6cb83e62e3617ef18ebab98c8f22fa409292d4e2

Observation d2918599-1489-46e9-89de-e1d5d5904086 · inbound

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic cites this paper.

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic Compromising Embodied Agents with Contextual Backdoor Attacks

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:21:27.531530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T05:17:42.003708Z digest=sha256:db27fa34b034c68fa70eacf3a31b5c8a709ba9bba968337edeafb9d2e2733c23

Observation b517619d-d008-4b29-8166-1e66ce173e5f · inbound

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting cites this paper.

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting Compromising Embodied Agents with Contextual Backdoor Attacks

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.637830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-22T05:29:52.758898Z digest=sha256:2972150c47c596fdcd9bd128ffb717eee446309ec6f433ac95c6b59f44395659