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Paper Citation Record · LEDGER

Backdoor Decontamination Dynamics in LLM Agents

As of 17 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2608.11295.

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

pith.paper-citation-record.v1
2608.11295 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:18:55.426956Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

67 of 67 outbound references displayed

  • verified exact2
  • verified fuzzy33
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 486afe95-97a9-4d47-aeff-8c3667c0614e · outbound

This paper cites Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain, pp.\ 755--772.

Backdoor Decontamination Dynamics in LLM Agents Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain, pp.\ 755--772

Reference 2

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source=arxiv_source observed=2026-08-15T14:18:54.958176Z digest=sha256:e393e663efb2097db792a8801d22e294bbf5f01b6e53c7802adf54ac14f9db27

Observation bb00717c-eb95-4e5e-939c-5cc6ecfd2f69 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

Backdoor Decontamination Dynamics in LLM Agents Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 3

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source=arxiv_source observed=2026-08-15T14:18:54.964745Z digest=sha256:8db416a9ca9cf8e7a025cc7885a55165442bf89f4ae31dc0e2c730fb9c785090

Observation bd4d3c54-b264-4c7e-9bcd-037e32d5aad9 · outbound

This paper cites AgentPoison : Red-teaming LLM agents via poisoning memory or knowledge bases.

Backdoor Decontamination Dynamics in LLM Agents AgentPoison : Red-teaming LLM agents via poisoning memory or knowledge bases

Reference 4

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source=arxiv_source observed=2026-08-15T14:18:54.971333Z digest=sha256:5e7d9a0c2baf301ebc43c9157103a67dbd2b33b0a81d32baf70074ab0176f36f

Observation 85922a38-1c92-4735-a73e-34ff9d5a75e4 · outbound

This paper cites Persistent backdoor attacks under continual fine-tuning of LLM s.

Backdoor Decontamination Dynamics in LLM Agents Persistent backdoor attacks under continual fine-tuning of LLM s

Reference 5

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source=arxiv_source observed=2026-08-15T14:18:54.978366Z digest=sha256:29a1ed8abd52586ec4ee7f6947b7adb4e8fd62f3244f1bf69d2d7435afbe4a04

Observation 92c1ed5d-ea0d-496a-b202-fa50617baf3c · outbound

This paper cites AgentDojo : A dynamic environment to evaluate prompt injection attacks and defenses for LLM agents.

Backdoor Decontamination Dynamics in LLM Agents AgentDojo : A dynamic environment to evaluate prompt injection attacks and defenses for LLM agents

Reference 6

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source=arxiv_source observed=2026-08-15T14:18:54.986263Z digest=sha256:df8c620489ef79ce2437d8adb6c506a7a8fb21b5afdf5297f2eb0b1776cfe63c

Observation 3123663a-aadd-4182-9a49-9c85a55ca685 · outbound

This paper cites Badnets: Evaluating backdooring attacks on deep neural networks.

Backdoor Decontamination Dynamics in LLM Agents Badnets: Evaluating backdooring attacks on deep neural networks

Reference 8

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:18:54.999503Z digest=sha256:e21e452f9c7e490f700aab92a300f5ca53af839eac602731d6615a1be55ddec4

Observation 53ac1e4b-560b-4e38-b053-9d99afe13199 · outbound

This paper cites Verbalizable representations form a global workspace in language models.

Backdoor Decontamination Dynamics in LLM Agents Verbalizable representations form a global workspace in language models

Reference 9

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raw_fallback, observed 2026-08-15T14:18:56.830131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.006283Z digest=sha256:9af02858d344181fe62b95921902a88f664978b438695892a80c10533ea4062f

Observation 833f90a3-34b5-4a9e-9f1d-6d3991003db3 · outbound

This paper cites Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

Backdoor Decontamination Dynamics in LLM Agents Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Reference 10

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source=arxiv_source observed=2026-08-15T14:18:55.013000Z digest=sha256:4c1ddb685bd4d5e5f77adb61f670f67d3617254434df3d5695764cf75ad204d3

Observation b4e6b14d-83cc-487a-aa9e-3eb632523487 · outbound

This paper cites Merging Triggers, Breaking Backdoors: Defensive Poisoning for Instruction-Tuned Language Models.

Backdoor Decontamination Dynamics in LLM Agents Merging Triggers, Breaking Backdoors: Defensive Poisoning for Instruction-Tuned Language Models

Reference 11

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local_arxiv, observed 2026-08-15T14:18:55.858924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.020057Z digest=sha256:99dcc3410a62a5b118d1ea2e348fb29767e3ed8939fe656db28325f7300f9098

Observation dfce79a6-fa4f-488b-9030-1c2cadce3a27 · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell.

Backdoor Decontamination Dynamics in LLM Agents Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell

Reference 12

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source=arxiv_source observed=2026-08-15T14:18:55.025910Z digest=sha256:55baf804ea51dea0a5822da5a4fb669d81113c69ac80e2f61321a76c5e434428

Observation 1fcee59d-c6e9-4674-96be-79eebe789088 · outbound

This paper cites Simulate and eliminate: Revoke backdoors for generative large language models.

Backdoor Decontamination Dynamics in LLM Agents Simulate and eliminate: Revoke backdoors for generative large language models

Reference 15

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source=arxiv_source observed=2026-08-15T14:18:55.048849Z digest=sha256:60ec5d1e1dd7100ea87e586173ceb543816a413a8bdd9362ccc3000f93c9faa7

Observation 11e9ad1f-f6e5-4986-be13-e09c84a002f9 · outbound

This paper cites BadEdit : Backdooring large language models by model editing.

Backdoor Decontamination Dynamics in LLM Agents BadEdit : Backdooring large language models by model editing

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.811034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.054841Z digest=sha256:c72ae903c277049f9cb4820c2016773881e8114dff792c9340d9433a27d5c261

Observation 76ae8fc6-bb38-4e26-89a9-a0a817e2d81c · outbound

This paper cites BackdoorLLM : A comprehensive benchmark for backdoor attacks and defenses on large language models.

Backdoor Decontamination Dynamics in LLM Agents BackdoorLLM : A comprehensive benchmark for backdoor attacks and defenses on large language models

Reference 17

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raw_fallback, observed 2026-08-15T14:18:56.792734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.062250Z digest=sha256:fcbe5a4032f9e9bcbae25fb23a7f3ffb4b4601a80f2ab1e42af95eedaeadbb93

Observation 3c8c3fd2-897e-445a-8a18-d13565ffe278 · outbound

This paper cites Backdoor Collapse: Eliminating Unknown Threats via Known Backdoor Aggregation in Language Models.

Backdoor Decontamination Dynamics in LLM Agents Backdoor Collapse: Eliminating Unknown Threats via Known Backdoor Aggregation in Language Models

Reference 18

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source=arxiv_source observed=2026-08-15T14:18:55.068432Z digest=sha256:d8fb1a38f048386af34e26435194981865ae26f442cd80490d64bd3520cb17d1

Observation a22eb920-6c96-4f60-870d-9ec0e530d886 · outbound

This paper cites Fine-pruning: Defending against backdooring attacks on deep neural networks.

Backdoor Decontamination Dynamics in LLM Agents Fine-pruning: Defending against backdooring attacks on deep neural networks

Reference 19

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source=arxiv_source observed=2026-08-15T14:18:55.076732Z digest=sha256:c0420745ef56ba1984b82c069ded8bef845fdcfeb12496f75c14a787a5fa6679

Observation e0c8b967-9326-4dba-ac85-f1250db5a17e · outbound

This paper cites an unresolved cited work.

Backdoor Decontamination Dynamics in LLM Agents Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-15T14:18:55.082599Z digest=sha256:d29f8434fd9fa611fec9f8d50a9a3a9b33736dbf0d378ed1d37a72586d1ba4d3

Observation bbd98176-640e-4e8d-b2f9-e4b48f09fced · outbound

This paper cites On the exploitability of instruction tuning.

Backdoor Decontamination Dynamics in LLM Agents On the exploitability of instruction tuning

Reference 24

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raw_fallback, observed 2026-08-15T14:18:56.773039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.108504Z digest=sha256:d411a42cbaa0030e73a337b417b279a052904a947809cfedeaf6595c89e74682

Observation 63089d6d-7973-4647-b4f8-c89f8cba7068 · outbound

This paper cites BadAgent : Inserting and activating backdoor attacks in LLM agents.

Backdoor Decontamination Dynamics in LLM Agents BadAgent : Inserting and activating backdoor attacks in LLM agents

Reference 25

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source=arxiv_source observed=2026-08-15T14:18:55.114927Z digest=sha256:c9bc9c01b135e4da45ff6b1093d4568dfca43255862dcf45dc222457c3386073

Observation f75650ba-c4f5-4a46-ac0d-c50f0c2d6ee4 · outbound

This paper cites Backdooring instruction-tuned large language models with virtual prompt injection.

Backdoor Decontamination Dynamics in LLM Agents Backdooring instruction-tuned large language models with virtual prompt injection

Reference 26

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source=arxiv_source observed=2026-08-15T14:18:55.122623Z digest=sha256:e38fa9b689a64be80433be96e784f8f30f6c91e065d6d498dd0a4ae9b42c22ec

Observation 9d08e68d-95a5-4f2f-bb6b-f404ea04d763 · outbound

This paper cites Watch out for your agents! investigating backdoor threats to LLM -based agents.

Backdoor Decontamination Dynamics in LLM Agents Watch out for your agents! investigating backdoor threats to LLM -based agents

Reference 28

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source=arxiv_source observed=2026-08-15T14:18:55.135297Z digest=sha256:e5c3cc6562993d2a2866dc84e6546cd7e236bd4be10543f329dc6025640eaa8b

Observation b8c2dd1b-2490-42e5-8a9c-1833d9cac457 · outbound

This paper cites AgentTuning : Enabling generalized agent abilities for LLM s.

Backdoor Decontamination Dynamics in LLM Agents AgentTuning : Enabling generalized agent abilities for LLM s

Reference 29

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source=arxiv_source observed=2026-08-15T14:18:55.141719Z digest=sha256:abd7bdc39045aa102147eb171069c62414fe4a5abe9c1abb55260fe93901d595

Observation ef839d45-51c5-4ae3-a3d3-7c3972afbc8a · outbound

This paper cites Fine-mixing: Mitigating backdoors in fine-tuned language models.

Backdoor Decontamination Dynamics in LLM Agents Fine-mixing: Mitigating backdoors in fine-tuned language models

Reference 31

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doi, observed 2026-08-15T14:18:55.487008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.156680Z digest=sha256:b6a18edb10f0cdee468ccd698a7c572d6369885161c6bac742ca80e8a2c57eab

Observation 37dc8192-a198-4c52-afd7-e70b2b8590d2 · outbound

This paper cites LlamaFactory : Unified efficient fine-tuning of 100+ language models.

Backdoor Decontamination Dynamics in LLM Agents LlamaFactory : Unified efficient fine-tuning of 100+ language models

Reference 32

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source=arxiv_source observed=2026-08-15T14:18:55.165838Z digest=sha256:a17a5c76406848714cc58ff0935a25f3df759dc743b5c62ea27fe86a1291b6d5

Observation d66de666-85d2-4741-aa5e-0688d4927a54 · outbound

This paper cites Enhancing fine-tuning based backdoor defense with sharpness-aware minimization.

Backdoor Decontamination Dynamics in LLM Agents Enhancing fine-tuning based backdoor defense with sharpness-aware minimization

Reference 33

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source=arxiv_source observed=2026-08-15T14:18:55.172611Z digest=sha256:fb152ebda43bafb45a9c55bdc557acae499a41e6330b288f406b621b06088fb5

Observation 18c22492-cdff-4ca7-b232-67b1b859bb6a · outbound

This paper cites 2017 , eprint =.

Backdoor Decontamination Dynamics in LLM Agents 2017 , eprint =

Reference 34

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raw_fallback, observed 2026-08-15T14:18:56.755015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.178412Z digest=sha256:c8c6a07b948000195ac4e0aa56d6873d3627cbafcdf240792de16a8fe2475ac9

Observation 9a64f036-543c-44ba-b358-262a0a302c1c · outbound

This paper cites Transformer Circuits Thread , year=.

Backdoor Decontamination Dynamics in LLM Agents Transformer Circuits Thread , year=

Reference 35

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raw_fallback, observed 2026-08-15T14:18:56.738513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.185317Z digest=sha256:9e17282ea65a37f86874302f98c33702057e3a873a15ca39f5e2d16cc90d551d

Observation 0ccef5b7-c3b1-4a0d-b4cd-05a50b5b92d4 · outbound

This paper cites AgentDyn: Are Your Agent Security Defenses Deployable in Real-World Dynamic Environments?.

Backdoor Decontamination Dynamics in LLM Agents AgentDyn: Are Your Agent Security Defenses Deployable in Real-World Dynamic Environments?

Reference 36

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source=arxiv_source observed=2026-08-15T14:18:55.191496Z digest=sha256:616b365e34df7419421d2b41c30db8100e80afc07d4ba4a2fc3da4751a0b67b1

Observation 517a7dcf-f7fc-48aa-bf1b-a3300a343696 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Backdoor Decontamination Dynamics in LLM Agents Advances in Neural Information Processing Systems , volume =

Reference 37

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raw_fallback, observed 2026-08-15T14:18:56.721856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.197675Z digest=sha256:8c5497ac06f65dee0c2b94f9b8422c528c5bceefe15dadbf5e59c6f466c3df18

Observation f60774df-c485-4603-b9df-ce7235f59fd1 · outbound

This paper cites IEEE Access , volume=.

Backdoor Decontamination Dynamics in LLM Agents IEEE Access , volume=

Reference 38

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raw_fallback, observed 2026-08-15T14:18:56.704522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.203958Z digest=sha256:112ed4d1ed1c75ed21883c33533caed3f9fb67a52bcf8492fbb44ac7c6f91ec7

Observation 2435eeb4-16ce-417e-bc31-242fa9fd4082 · outbound

This paper cites an unresolved cited work.

Backdoor Decontamination Dynamics in LLM Agents Unresolved cited work

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.209857Z digest=sha256:46b17e8a4ceb68ebf8e6d0413df0e011dc2f948874d19a4bccf3f1dfc178d072

Observation 39dc13c3-6683-42b4-9838-412888301a35 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume =.

Backdoor Decontamination Dynamics in LLM Agents Proceedings of the National Academy of Sciences , volume =

Reference 40

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source=arxiv_source observed=2026-08-15T14:18:55.215554Z digest=sha256:b20336c006c3831d03f110d7182af06e44caf5c43422224aa60a7253afdfc338

Observation ff5e41df-4c1f-41b8-a56b-466ecfde72f5 · outbound

This paper cites Research in Attacks, Intrusions, and Defenses , series =.

Backdoor Decontamination Dynamics in LLM Agents Research in Attacks, Intrusions, and Defenses , series =

Reference 41

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raw_fallback, observed 2026-08-15T14:18:56.653711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.221970Z digest=sha256:b480fa84476fd5f2d670ec0c7ab80705acee134358dd6e96952ba44154f48df8

Observation 7cdef724-e464-4140-8e73-a122ec42b91e · outbound

This paper cites 2024 , doi =.

Backdoor Decontamination Dynamics in LLM Agents 2024 , doi =

Reference 42

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raw_fallback, observed 2026-08-15T14:18:56.633976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.228711Z digest=sha256:041fb2917c56e47e4162f9746a5c8292598570d1e3375a25552fb6c450e2de92

Observation d0d212f3-8ddb-421b-a0de-6c930ce1cce8 · outbound

This paper cites Psychology of Learning and Motivation , volume =.

Backdoor Decontamination Dynamics in LLM Agents Psychology of Learning and Motivation , volume =

Reference 43

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raw_fallback, observed 2026-08-15T14:18:56.616329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.236214Z digest=sha256:618a8787286d65cddc865a970b95c77ce1be8b3e1e3950844457f65fd3060fe9

Observation db3dd63b-edb0-4d2e-9f7a-e93bccd45c39 · outbound

This paper cites Qwen3 Technical Report.

Backdoor Decontamination Dynamics in LLM Agents Qwen3 Technical Report

Reference 44

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source=arxiv_source observed=2026-08-15T14:18:55.241792Z digest=sha256:180055b6c62dfc782fc8302fbed8a668cf051e2ec20c8f61b161571b7489dbdf

Observation b253d72c-77a7-4ed8-958a-6cd7ef2723f5 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , series =.

Backdoor Decontamination Dynamics in LLM Agents Proceedings of the 40th International Conference on Machine Learning , series =

Reference 45

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raw_fallback, observed 2026-08-15T14:18:56.598708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.248727Z digest=sha256:de6f2b3429c7412ced6d81484b6df24fd48aa73e97b38fec1604e2b53f0acc0b

Observation 6970bf13-0858-4c79-bda1-11b4d9f79ffe · outbound

This paper cites Watch Out for Your Agents! Investigating Backdoor Threats to.

Backdoor Decontamination Dynamics in LLM Agents Watch Out for Your Agents! Investigating Backdoor Threats to

Reference 46

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raw_fallback, observed 2026-08-15T14:18:56.580061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.254675Z digest=sha256:e863e6cb7a4589ad6db53916c74ce5d686a20fa1a9d77a3551de49fc37a16e8b

Observation ee1df0dd-b492-4864-a34b-79d2b3d87eaf · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

Backdoor Decontamination Dynamics in LLM Agents Transactions of the Association for Computational Linguistics , volume =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.561201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.260629Z digest=sha256:ede11ea46417b8da46d23f8799ecfb81bc3d2895d22b10594f574b47ce005e45

Observation c611f68d-b92c-47bd-9f26-1ec21ae5d826 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Backdoor Decontamination Dynamics in LLM Agents Advances in Neural Information Processing Systems , volume =

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T14:18:55.266018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.266018Z digest=sha256:47448c80f8bc8ee40c2d7a242e14e067b3f98bb3e663b9edb9427db9da307de6

Observation 7f3f144f-1fe5-491f-a591-d39f29d8eba3 · outbound

This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , address =.

Backdoor Decontamination Dynamics in LLM Agents Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , address =

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.527517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.272366Z digest=sha256:6b19ce5f39089ba4a0edf8ffd88153a9287b8569dc9e85fade9af7ce7679795e

Observation 3c8a8c33-fc53-4108-aeee-a527bda97df3 · outbound

This paper cites an unresolved cited work.

Backdoor Decontamination Dynamics in LLM Agents Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-15T14:18:56.509041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.280045Z digest=sha256:911a6d4b60d8dedcb7b4916df71e711649ecd12df432f9c7bb0d5717657af606

Observation bb5913f4-01de-4df8-b96f-8fd15fa4b944 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Backdoor Decontamination Dynamics in LLM Agents Advances in Neural Information Processing Systems , volume =

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.490117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.287271Z digest=sha256:ec705f3a3b262e5e8dea15bccaf521fae11f055abd92012aa5bf541f735657f9

Observation 51aa7f37-9f83-4000-92c6-ef75d40c95bc · outbound

This paper cites 2024 , doi =.

Backdoor Decontamination Dynamics in LLM Agents 2024 , doi =

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.472246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.292927Z digest=sha256:87011c45e6eb41d3319831cc488da2338237cc916d29b91949ac96dadbeb4649

Observation d74fbbd7-fee4-4c89-b2e5-fcb6dbf33953 · outbound

This paper cites 2024 , doi =.

Backdoor Decontamination Dynamics in LLM Agents 2024 , doi =

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.453634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.298625Z digest=sha256:fdf825df9ebb595006eeec2a41343cc2f51faa9fc09458a416a1a3b1c46a2e04

Observation 4463eb13-c118-4ede-acc9-906e7a817499 · outbound

This paper cites 2024 , doi =.

Backdoor Decontamination Dynamics in LLM Agents 2024 , doi =

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.437048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.303912Z digest=sha256:c622aa69c668f9801c840ae00c1e049631825ad855a8282676327fe4210255a6

Observation d7e31dd1-83af-4e76-b07d-4e1af04c1519 · outbound

This paper cites 2025 , url =.

Backdoor Decontamination Dynamics in LLM Agents 2025 , url =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.420819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.309105Z digest=sha256:74fd2affc33285b2a3184ce157ec429a8782273e2f707553424d19b68dc2c819

Observation 89a9a4b1-9f2c-49fc-9873-04489c0a09e9 · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , address =.

Backdoor Decontamination Dynamics in LLM Agents Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , address =

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.403816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.314328Z digest=sha256:d785ced6f5375a4b498f2b433ba53a1b0a1e2b54b98b265fad46a909fbdda130

Observation 84217e09-0ce8-4dc4-ad96-89be9a3ebac1 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Backdoor Decontamination Dynamics in LLM Agents Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.387569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.320896Z digest=sha256:a9bb45e5d65732f5cf6900f60f6429e0cb6c88e91fa5bd1e544c2326b43e1e6b

Observation 6bfbf9b9-f8c7-44d1-ab66-fad9af1490cb · outbound

This paper cites 2025 , doi =.

Backdoor Decontamination Dynamics in LLM Agents 2025 , doi =

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.369770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.326891Z digest=sha256:115a7c780ba3726dd0983e2f820cd493c12fd23d56d3e52d28665a360f85ee7e

Observation f0f81c50-1990-44fc-a00f-90820cf011e9 · outbound

This paper cites 2024 , url =.

Backdoor Decontamination Dynamics in LLM Agents 2024 , url =

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.351357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.332708Z digest=sha256:9f6aa23a8625b2f0b36e64676840246894a64f4107882181332ba404988bcb84

Observation c5d52300-ff45-48df-ba86-1d00102c61f6 · outbound

This paper cites Persistent Backdoor Attacks Under Continual Fine-Tuning of.

Backdoor Decontamination Dynamics in LLM Agents Persistent Backdoor Attacks Under Continual Fine-Tuning of

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.333204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.337918Z digest=sha256:7fa5b5fb51084a26994544243a4ccf50570feed569426cc60be7b54bf72843f7

Observation 8bbcef4e-1ba7-4b20-8710-c6f924ee5a6d · outbound

This paper cites Your LLM Agent Can Leak Your Data: Data Exfiltration via Backdoored Tool Use.

Backdoor Decontamination Dynamics in LLM Agents Your LLM Agent Can Leak Your Data: Data Exfiltration via Backdoored Tool Use

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T14:18:55.343264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.343264Z digest=sha256:918983b1450492ea49f0f06020d21e1bda4e090657fd84cddb48e50da21f8434

Observation 02dc67f7-d13d-4d88-b47c-60aa6570c8c8 · outbound

This paper cites Fine-Tuning Is All You Need to Mitigate Backdoor Attacks.

Backdoor Decontamination Dynamics in LLM Agents Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T14:18:55.349625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.349625Z digest=sha256:cecdce61cb51179322faa69cdbdcda09f328d80d8304ad6fda7a7eb68834a4bd

Observation f16563be-68f4-4b49-8fd3-efaa8ff1f479 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages =.

Backdoor Decontamination Dynamics in LLM Agents Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages =

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.306771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.354694Z digest=sha256:c44567be906a7e5e92d006d3dc827d6a9187ea7e44024351989da62a6b452249

Observation 350c0eb1-bc12-46bd-a0ba-cf1840ffa0af · outbound

This paper cites A Study of Backdoors in Instruction Fine-tuned Language Models.

Backdoor Decontamination Dynamics in LLM Agents A Study of Backdoors in Instruction Fine-tuned Language Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T14:18:55.359732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.359732Z digest=sha256:50a2df4efc3aafa8d8b88a9371a6c452452669cdc6a04c90d5037aa61f52ae1c

Observation 99fddae1-3fb4-41df-a82e-5a22d6bf30fa · outbound

This paper cites Transactions on Machine Learning Research , year =.

Backdoor Decontamination Dynamics in LLM Agents Transactions on Machine Learning Research , year =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.283523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.365054Z digest=sha256:b819269921cc67641cdb33520d5279d61023d1b7245f132e6041a9a5e9951eaa

Observation 8a2bd4d7-dda4-4a56-9ce8-9bd1bc1aed4b · outbound

This paper cites A Survey on Backdoor Threats in Large Language Models (.

Backdoor Decontamination Dynamics in LLM Agents A Survey on Backdoor Threats in Large Language Models (

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.261711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.370487Z digest=sha256:bf43c5799bbd5803ceae04a8ae3c39298b947cda201eead0a7b382a363f3bab7

Observation 37aaa9d8-5719-4514-aa24-90cc967d0daa · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2022 , pages =.

Backdoor Decontamination Dynamics in LLM Agents Findings of the Association for Computational Linguistics: EMNLP 2022 , pages =

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.242031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.376377Z digest=sha256:452c206dad7215c2b51902a2367f4ec850e4c7a16ce8184837630fe43db25e18

Observation 3d63ae90-4ed2-4c0a-986a-069a3e5e9668 · outbound

This paper cites 2025 , eprint =.

Backdoor Decontamination Dynamics in LLM Agents 2025 , eprint =

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.223326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.382121Z digest=sha256:c93c92e999f913377552c2fa921b9bf5ef7dce4f8004040b37bb25fe400ee2fb

Observation 60ad3657-911f-4d84-b6f8-2fa2a3136370 · outbound

This paper cites Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain , year =.

Backdoor Decontamination Dynamics in LLM Agents Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain , year =

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.204832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.388135Z digest=sha256:927c9992806f08e58360ac6b487cc104bcf16f22da2cf0a7a9644540d28faaca

Observation 8754f686-3425-43bd-865d-a46c47f389f0 · outbound

This paper cites PromptArmor: Simple yet Effective Prompt Injection Defenses.

Backdoor Decontamination Dynamics in LLM Agents PromptArmor: Simple yet Effective Prompt Injection Defenses

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T14:18:55.394338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.394338Z digest=sha256:2b5d5ec564d49e20a1d483c64f2f2f49290ab465e805523d13439d1a934612a0

Observation d93f616b-4e7b-466b-abbc-d6c6ae909a54 · outbound

This paper cites Defeating Prompt Injections by Design.

Backdoor Decontamination Dynamics in LLM Agents Defeating Prompt Injections by Design

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T14:18:55.399685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.399685Z digest=sha256:fbecff874aa96862f6061f7ac2bfe42c5db7315018435b0f785b6499ffdfcd18

Observation 549108e1-8d8f-4b8f-bcfe-b21f3aa810ef · outbound

This paper cites arXiv preprint arXiv:2510.05244 , year=.

Backdoor Decontamination Dynamics in LLM Agents arXiv preprint arXiv:2510.05244 , year=

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T14:18:55.405519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.405519Z digest=sha256:cefd2e9e674edccb7526d039889744dcb17e0b9285a0f23c379869f8af5c14f9

Observation f8df3ec9-4eca-4c58-856b-89b5e4a0135f · outbound

This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , year =.

Backdoor Decontamination Dynamics in LLM Agents Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , year =

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-15T14:18:55.410782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.410782Z digest=sha256:614b4a625c858245ff11cc7dfb5c361d6431f7c79b73715ba9a69fccd3ce61de

Observation 03d8e61e-ddb3-4ccc-9b4c-78f13fe83f31 · outbound

This paper cites Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing , year =.

Backdoor Decontamination Dynamics in LLM Agents Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing , year =

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T14:18:55.416301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.416301Z digest=sha256:a2e253cc3d78ce6f2db6d916fc1dd1882ebe451962a24c23e503a7fce035bca1

Observation d69e57a0-e80b-489b-a07b-7500c98014fb · outbound

This paper cites 2025 , journal =.

Backdoor Decontamination Dynamics in LLM Agents 2025 , journal =

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.185082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.421586Z digest=sha256:8e39e1e5ec8aeef27f5ba30c3336e27aa5993c65cc2923c831a2d355feea8afa

Observation 8ebaca52-0963-4734-9268-d1b15711dd6c · outbound

This paper cites 2026 , journal =.

Backdoor Decontamination Dynamics in LLM Agents 2026 , journal =

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:18:56.167520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T14:18:55.426956Z digest=sha256:3a04276f437a1e41ef6d37710a49833bf0700c98489f343aa896204ff87c4913

Pith citing papers

No inbound Pith citation observations are available.