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Paper Citation Record · LEDGER

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2406.03007.

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

pith.paper-citation-record.v1
2406.03007 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:37:28.696356Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:19:44.179757Z

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 5524f44e-bfa6-4613-83bb-bc296f7a7bc7 · inbound

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents cites this paper.

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 138

Resolution
verified exact
arxiv_id, observed 2026-05-12T13:36:57.183215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T13:36:57.011451Z digest=sha256:52c52f571571e7feb51443766d2a73cc6ff488e2bf87fa2caec0b59c9529eb4a

Observation 6b8f9803-dfee-4eb5-832e-dde61e6a10e5 · inbound

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks cites this paper.

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:28.696356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:37:28.696356Z digest=sha256:0d481a645958bfbb0456419aea7abdfbcc47948a48d24f2c28e4c12081c7065c

Observation bfc370ec-1bf4-4463-a693-eefd55a130a9 · inbound

Superplatforms Have to Attack AI Agents cites this paper.

Superplatforms Have to Attack AI Agents BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:42:37.913404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:42:37.913404Z digest=sha256:3155a102b8415cadfaf5d350b878963a5e3d2dffae6f6c24835490b791cf7a6e

Observation 06bd2291-f7f5-40c6-b46f-44af44752bf4 · inbound

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models cites this paper.

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:17.082771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:48:17.082771Z digest=sha256:67796b7edd9da7cb86ea1318be5c7c28d05b73206b4e66b3fc58f1a658dd9ee6

Observation f3f856b1-b0bf-43af-a1cc-44626b5a8be5 · inbound

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

Adversarial Attacks on Robotic Vision Language Action Models BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.513409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.513409Z digest=sha256:2e9b9487b6bf20bb649f3e7433f593215ef6db6e7d46def755ee03c940c75732

Observation 29ede7d0-14d3-4b61-9ae0-7f66260913e6 · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:33.685730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:33.685730Z digest=sha256:306afd5c4bc878d29b2fd15cff947c08c5540aaf65f61a99f8213226666755d7

Observation ae5fd4c0-37c0-4e12-80bf-38cfccaf4151 · inbound

Your Agent Can Defend Itself against Backdoor Attacks cites this paper.

Your Agent Can Defend Itself against Backdoor Attacks BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.502855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.502855Z digest=sha256:85dceb90846fff57c752b1f72d8d1a3ca7fcb3774592b365698dbc3309e09d9f

Observation e992e2d9-83e4-4241-bf08-5156052f98c2 · inbound

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents cites this paper.

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:44.473874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:44.473874Z digest=sha256:d2481c49c57595c73876759518c84181743bc445fa6636a10a143d59226bae65

Observation 97400208-3df6-43f9-a038-98a645929d2a · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 150

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:46.488948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:46.488948Z digest=sha256:17b003473264339e333cf89f142a4a414b52404dcae5af8918e4beab8ca2e471

Observation 904521e1-e999-4249-9ecc-2a389f34a1ba · inbound

AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents cites this paper.

AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T21:44:12.414472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:44:12.414472Z digest=sha256:d142632b678d397edd9a869f19df56a5e9739bd1fb3e4c052ce3be1d7920438b

Observation ea269435-92dd-4d02-a987-1080d6e1ffae · inbound

Where Do Backdoors Live? A Component-Level Analysis of Backdoor Propagation in Speech Language Models cites this paper.

Where Do Backdoors Live? A Component-Level Analysis of Backdoor Propagation in Speech Language Models BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T13:15:23.930235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:15:23.930235Z digest=sha256:b2de5693e37ede0ac049320340b207085f28bb86df449384a5426b1ce93c5c21

Observation 137fdf27-2b96-465d-81ca-f8c3f4c86f02 · inbound

MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents cites this paper.

MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:01:14.275417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T15:57:39.809778Z digest=sha256:e4edd5db6ecfd188002ccf7a51e961219ca30a7291ea22c830b490dbf1c5d8ed

Observation 014ce278-3c88-4b4f-b1bd-bfb1460cffc2 · inbound

MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents cites this paper.

MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:10:41.442412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:50:41.401393Z digest=sha256:5c566ee3b763ca4d6dd18af073f56327d61997b08922fbe3bf654670e8694f74

Observation 51734d8c-f28d-46b2-a091-8e9d4891a0a1 · inbound

BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models cites this paper.

BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:02:58.926580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T21:01:10.756844Z digest=sha256:f2eee8e3c415f25ff0deca15447e71528c293cd45a2d36c70672ea6dd83f4806

Observation d3200f26-2af8-40e8-baf5-c496fdb9b70b · inbound

Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks cites this paper.

Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-20T08:58:10.439785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T08:53:52.698758Z digest=sha256:9793016d0dabf9db3df8ec2f5906ac66d2d1746280c05c5782ac918260469b7d

Observation 8c905b2a-582f-4155-9af3-246b4e9c698a · inbound

Evidence-Bound Gateway-Path Provenance for Third-Party LLM Inference cites this paper.

Evidence-Bound Gateway-Path Provenance for Third-Party LLM Inference BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:19:44.181392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T10:07:23.015655Z digest=sha256:08030e0b7518dc6450554c7cd4900f1b8690c27020795025128f6f9316730931