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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=sha256:68b14711db9589468047b6be69d0109fa220aa5692d7411c1c231c7c5f9b5c27

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-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:18:54.964745Z digest=sha256:86cddf15556f6d4c0d52f7fa15101d3137f152bbeb1c5ffed93dd95ea165c9cd

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=sha256:37ea3806f2ff6756009358268b58c204367393e2e948869d93bb93daf276241e

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-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:18:54.978366Z digest=sha256:9cce80366c8f121d0e0e7094e6e4698517f19fd1f01ba668115422a4c72f99fd

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-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:18:54.986263Z digest=sha256:6c387902d598844d323922ca7ef53149f3be00e0df11a1b39a192a2d75240544

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.999503Z digest=sha256:03d18a7f81f6596f14136092f9d4fe57f3d7eb487723a0d5154c6ec3466f6469

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=sha256:57e396d1fb9aab40d7f7176f21a3676c702dc9635cd816047a2dba916b372ff9

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=sha256:3f1550fe590e54a77fbd2850eae294f790815fa8e0817868d36a08673bce68d7

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=sha256:0733598d545c66161e188e307842c13d750949c1b1a59894fd73ff99862b07ba

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=sha256:5888e132bcfd5dd2e76026bc12e22425b43badbd3cc525405731c43293b6e256

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=sha256:2a4fa091727225616d95f08bd67db245a2d3711be91b2c53e3c9e440fde1a873

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=sha256:9ecfe29c805ccb7e24bf955054c0124e3209c9c254495ac0ac55dfd86615efe1

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

Resolution
verified fuzzy
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=sha256:1538d6a5c529515a7cda4751cba720606903b2385ed6909868ebdd220660dbfa

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=sha256:721397400d06bbcbcf00d58ae05152e90b2d04be0a179896df608651547f4ee3

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=sha256:73be6ffdcaa65f5d867197cc77e64ffba8430337d7d1393032654d9889d5b8e3

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.082599Z digest=sha256:2314b650f10edd7f4cdb622c47980f28ae665cf053000c14387f931e9e84bee3

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:fc8943937b4e7e0935f36f873e7586fbb6299f87bc1eb0485133eff445f9a32b

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-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:18:55.114927Z digest=sha256:45eb03eba39532f48e77990e4209f9c725a16d5c524ca75b9bcabe58bf3360b1

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:b96f7c411d3badc02f3b35733d8782c58d7abc10411c5359fdaf83706b9aa24b

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.135297Z digest=sha256:bc2931c902a32ba658d1c551b284bfbd9541a39b78ca441fba23d384ccafcebe

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:a46d79be83bc976f0c3033227f7cabb57af1057ff9cbe76795dc5287920762a8

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=sha256:51bb2f2b08655e53592ce8f7cfc32d62049f798e09cd84a16d24bdca705d59b8

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=sha256:3825236d10d4c3c969b45aef9be85162f23e4f98c87b0b31365696ba5c641aae

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:ae3f0d8ce3fca6f516ce23c61e7ac92876a79b2f9fc7dc64e5d833658ab4d15e

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:da6ed82059b95cc8b2161bc64f4048f576b0932a4fc9336dd4069dfc80186615

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:f1acf59738b87c7473159c482677d3880595e18acdba89dd9baf240a609eafc4

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:b04777e32c63af53b9802b2de58c7ad6f9218fbd27329b4f8625db6f47a1fbaa

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:aa5c713aa4ed89f5456b10628065b33b52f8cfd9a109c72cdced2b9f0fcda6ed

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=sha256:505f456fa19131bfee5ac16fdfa8c0272948b815fb7c09ca3972cb4860ee9943

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=sha256:6534cd40261169a4c2a9ef2abc078d192af50b4d6293a71ae163650d50b67322

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=sha256:3b225d617808c9012727906fe1bf51e3a3f0146cef88afc981c4d0c4f29ca7db

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:a4f56a1dc0c955deade2dca7abd236345b5a50cdc9071283b5c4839cdb5aec40

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=sha256:41478acca89a6804e8fe3a8e36c2312a30eafe6bd2da1ca0e03b3f53fc8cd428

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=sha256:6a1a1c59ffcea732d0a07bfdc3549e446388b7b38b6dabfffa5c74e1c7c97d40

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:55.241792Z digest=sha256:99bd260d3d50cdc097b5483515edbeeddf8ac02e5e2f91ab6fa71303b25041c7

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=sha256:81db7d1b33a3b54c3ec9398a451edace89cdf8577c11c7183a188969d2ae1c19

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=sha256:99878c3b2c1785a17c1db9c88cce4fff600fc88636461070e566d816e1101f5d

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=sha256:1f562c8765bdbd78e8d8496e841c69ac5eb73704e8aa98a93f2dacf0236c6db0

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=sha256:4b083e40d68b8f04ab1c3f0c0ca934d7be01c2b711c9e0b7a2c5630cdafa4af5

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=sha256:4c10da088d234cf3f14b20aa9cc441add3f6efef8c2c95be640758b3df376ef0

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=sha256:64df9c58f870cdde6dce9f25a2eaaba523754eb9025488657ec82514e3bc2ef3

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=sha256:9b4bf72b95e29108b28c3d13decebd9caac20eb7b1ca9e6da0aa18e1c54946a1

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=sha256:4b4770922051c79556e49df0536308be48cbcd20bcac33e44881ea66e1b94096

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=sha256:6f513d20172406beb9eac342a29b138097c806c0e1ce45292642c78eda5f135e

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=sha256:55749f76ba43b048d043e8b78d89bfe9a95b5ae9e90b5fff709a97f3d231fa70

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:f644e01d0910c91c45b40ba9027043c5e1ce53f2d82d018cc038fd150344d6ef

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=sha256:369681bd068e7e19c1c1bd58b8a3b749095a49fe847e1e0132e99baae33f7698

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:ef38f1fa742eedb2c200c5a746ba492f13d0dfddab0b52d53d3e20210bddfa45

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:f96dc0a128daa376f9e8d5884643e4e1714f4ffd6f28056ffc715288d4c914f5

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:fc1fd5f056c2227002d46d47529290caa51266a700bed7edf5b3f838fd895d25

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:fba535c72e2444b883108f8739d61add3f6ec7ec021d10b9cf273b05f85971cb

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=sha256:0a981e9171c9d976612e5a09d62b70c18025f5fa2ff3178e3c4d5c9e3169501f

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=sha256:80e44858616513cf733c07c0e88e623292eb7feaa98ab4e19f63ba14379d62c1

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:f8a97147c68bc65f870ea225849c94025063542de2dc5b7f7d1fc9bf68f6b77b

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=sha256:909cd4d294679665dbf31634e19b375cf839facaf0af43456220ec4591754741

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:ddf71ce0a6e3651292cfd495b464fe192474d105ef0fdf8ea5d19fa39acb2747

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:b689c7bcbb70f8dc004f9900b046aac85c7089a242cc14d3ed126b46e4a84218

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:d3dc7fbeb0c3c782525adbb453bfe14cf3a9b01f5639b22b3663d7f46efc3313

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:f39cf640feae97555227749a3dab3555c90b8a1c7d7209359826d78991bf6b97

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=sha256:5bdf76e761aff556f16e5be99d909e4890ed793a9010e7dced605effef4ace44

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=sha256:23d7f8645553f2473f28cb19d37e0ff04b8d56767e704c74db821e51e6ed4e92

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:abd8390d73f31431600e6723c5ca1b83aa33276e508fb76462c3fb219949a2e1

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=sha256:43ecce9aa83441bc46246ab9a63c1c95dfc812ddd261885de58cfaaa20a6b213

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=sha256:0c3a9d8501ca9b2e9b295b2182874017ef4f1248ea85cb36062b34f427a691cb

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=sha256:5cee8920486d767fdd1146882f222480256a30d538475d6916ce6541098cbb87

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:af462da4aa0c53fc841d66763af1b12b2f50937b5c3fb1b39305b9cd1dac93e6

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=sha256:07c69f2cb838658f04cfca873cb26a3d134521a023e10088e8f0f23360c4dffa

Pith citing papers

No inbound Pith citation observations are available.