Pith. sign in

Paper Citation Record · LEDGER

Your Agent Can Defend Itself against Backdoor Attacks

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2506.08336.

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

pith.paper-citation-record.v1
2506.08336 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:51.574942Z

measured 43 of 43 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T03:26:15.676915Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T16:48:02.786346Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33d8e3ef-8f5f-44e7-a182-8b9b49bebeec · outbound

This paper cites online" 'onlinestring :=.

Your Agent Can Defend Itself against Backdoor Attacks online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.385745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.385745Z digest=sha256:1b14a90a6465f2dad2bd468ad27d9f0bb40b46507bb80abeb21b4376162e3e8c

Observation 508d7764-32d1-4bdf-9fd7-7ea88da89387 · outbound

This paper cites write newline.

Your Agent Can Defend Itself against Backdoor Attacks write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.391716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.391716Z digest=sha256:2157dafa7742542fcead34a20f465b5b25e8667d3e805e09ebff0cad8baae3ce

Observation 7d938bd2-ae37-4e72-a5c6-1df42f82f10f · outbound

This paper cites write newline.

Your Agent Can Defend Itself against Backdoor Attacks write newline

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.396958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.396958Z digest=sha256:a6ca064d52b38e853c6979db3997eef036a1b95ea91b22234f30d368e8f6856d

Observation 3124a7e8-bb3d-440f-a919-3847d1c1962b · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.121533Z

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=2026-08-07T05:20:51.402954Z digest=sha256:89c3e31a592dfa6e556c53f912c2c2f6140b82c39fc8a71333769321c6254aad

Observation 31cb21c7-ad73-4ce3-bff3-febfe6024bd7 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.107386Z

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=2026-08-07T05:20:51.407546Z digest=sha256:db05438f9aab57f24f4b18ff551eb747edee37a5068072a5e0b9af85b4994014

Observation f37e26f4-6514-4097-b053-2af2ae217a0c · outbound

This paper cites The Llama 3 Herd of Models.

Your Agent Can Defend Itself against Backdoor Attacks The Llama 3 Herd of Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.412130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.412130Z digest=sha256:7aad022d4d4305f49e623ec331af1902d1c09bdb5cff6cd69b4bb09424a00d3c

Observation b18318e7-3b97-4807-8b7e-65359f56ab91 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.092108Z

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=2026-08-07T05:20:51.416945Z digest=sha256:81e6e9d9d707d929a1d7361972bc00565c71b9298985184271b033aa742c7e85

Observation f6d62163-d3b1-4cf9-aa59-25a73f0ac248 · outbound

This paper cites Mistral 7B.

Your Agent Can Defend Itself against Backdoor Attacks Mistral 7B

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.421814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.421814Z digest=sha256:59fe7efbef02a9e69e855261f7f7a6bb0c66d1536deba06fdbe5f4571baee1a2

Observation 873b1849-dcde-4b69-859f-f25d281bd5a8 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.427123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.427123Z digest=sha256:45634d3e2de6d84f80816e17f7da908cdcadba865810a41b3302b66cd10e7efa

Observation 5789aff8-f215-4f16-9ed8-490090ff1318 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.068687Z

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=2026-08-07T05:20:51.431900Z digest=sha256:823b6a28265aaf626e66b6bbb473980a276c4165221ff73b38f7466a805847f6

Observation f088228c-2462-4359-8a4b-430fa0185a6a · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Your Agent Can Defend Itself against Backdoor Attacks AgentBench: Evaluating LLMs as Agents

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.436234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.436234Z digest=sha256:4e0d77d2ff10e0a44a6c9dd4f706ddb29acc1c95e8478f187f9010637f9c06bd

Observation be5503e8-261d-406a-8ea2-69aa96378dee · outbound

This paper cites ChatGPT as a Factual Inconsistency Evaluator for Text Summarization.

Your Agent Can Defend Itself against Backdoor Attacks ChatGPT as a Factual Inconsistency Evaluator for Text Summarization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.441130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.441130Z digest=sha256:46db99d022de5e858f64e1b5995721c866aa72bd40297304a80dd0431910cc1a

Observation 5a4adddb-c1aa-4721-8ba0-6cf69e36aa49 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Your Agent Can Defend Itself against Backdoor Attacks SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.445842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.445842Z digest=sha256:7d5d8cbaa53cc8dab7bc340abde431bdbc1ac4509dbb4c1b0af7984c6b218a9f

Observation 577bdf80-2172-450c-ae09-bc05272ed337 · outbound

This paper cites SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning.

Your Agent Can Defend Itself against Backdoor Attacks SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.450599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.450599Z digest=sha256:868dd8a5f1cf9c80a90d07c3eaaa9575e987533c949c088c4ad840bac5272b06

Observation 0f0327a5-dcfb-463d-8d57-8f39cb972233 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.053535Z

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=2026-08-07T05:20:51.455472Z digest=sha256:36b10936da85e544bfff37e057e44764fce42f622adeca9e5fde5863c5346ff3

Observation 511758a7-f72f-4daf-b795-07d78305997b · outbound

This paper cites RET-LLM: Towards a General Read-Write Memory for Large Language Models.

Your Agent Can Defend Itself against Backdoor Attacks RET-LLM: Towards a General Read-Write Memory for Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.459554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.459554Z digest=sha256:308e720ef7cfdfe25a3ffb96513d36b6b95bb912998cbabe9f5ccf7b5516c032

Observation 96b7f61a-9b1e-44d5-994e-b4c8fbd662ec · outbound

This paper cites TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models.

Your Agent Can Defend Itself against Backdoor Attacks TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:20:51.800586Z

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=2026-08-07T05:20:51.464083Z digest=sha256:600db643f2f7fa29c6999078d85b99c36954feec5f92bc6b60645abfdff01384

Observation 8c279b25-7c78-4611-8158-36ff45632a9f · outbound

This paper cites LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked.

Your Agent Can Defend Itself against Backdoor Attacks LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.468584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.468584Z digest=sha256:482d63c8c01ffe78ec19d9fa8701f36e65297910da2b497dc4679974081d4881

Observation fc910d12-2f81-468e-a5ae-a01dfd8992e4 · outbound

This paper cites ONION: A Simple and Effective Defense Against Textual Backdoor Attacks.

Your Agent Can Defend Itself against Backdoor Attacks ONION: A Simple and Effective Defense Against Textual Backdoor Attacks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.473274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.473274Z digest=sha256:d4a0a521e50d99ad9a788a388ea74de5c0aa43647237f4cba1459d0769532858

Observation 569e79b6-ebe9-496c-a997-fa7cda9261a7 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.478489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.478489Z digest=sha256:8dd4cd34ec78937aa2c3aa72bd3b3d68c506af8bad7acaf51c3c3159dfbad45f

Observation 34682129-c720-45cc-aadc-4afe191daf86 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.030055Z

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=2026-08-07T05:20:51.482894Z digest=sha256:f8d4132dafa97eb1cda127893eacc8c4f3e3dc35d958b02277a46d0b54a9af88

Observation 2fef6dc1-6742-4c74-95f9-48971ab30437 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.014437Z

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=2026-08-07T05:20:51.487220Z digest=sha256:5150be5344eedf9ce800ac39a8934692c0da03440350fabfeba41bd544b2c7c1

Observation bf91c59a-08d3-46b5-a166-371d6175d971 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Your Agent Can Defend Itself against Backdoor Attacks Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.492099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.492099Z digest=sha256:0d7d49b14b09685441390b84a3da70d189b13625bc031966af6d6a5f3524d8cb

Observation c226d49f-ff6a-4a8f-b929-49dd2d7ae2f3 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.498004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.498004Z digest=sha256:6283c31b6dcd63d5fbf7be8056df24599a0c51a2c8d2ded4dfcbcd6c08b7a5fe

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

This paper cites BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents.

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 832668f5-86ba-43ea-9824-d6c78edea72a · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.507455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.507455Z digest=sha256:a53ff7d299e2e927f05a4688290519e2fb9b06a3707d57a08b0f3f7c387d6f27

Observation 52801b94-5167-43d7-96fa-5836fcc3b98e · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Your Agent Can Defend Itself against Backdoor Attacks The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.511937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.511937Z digest=sha256:b9f8d9fd5bd104fe2e0e69bcb3fa80e12f4032ef0e36fdd3fb342c52dbdffc43

Observation df9e9c34-7b45-4a19-b9c8-6fdfa56e20dc · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:51.981105Z

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=2026-08-07T05:20:51.517047Z digest=sha256:74690f8eae8a48f7232199c437ab3503751982dbda8ab244925dea69d614c8f5

Observation 37ee37ab-782f-4f1e-b9ce-d4816c5b0250 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:51.965612Z

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=2026-08-07T05:20:51.521546Z digest=sha256:9196a7144dfc7a3be891f62b23a57654bcae4ad4e11563ae452bf7e739773b11

Observation 0b5c57fc-419b-40f5-9140-ca2d5ba4c4d7 · outbound

This paper cites Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions.

Your Agent Can Defend Itself against Backdoor Attacks Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.525816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.525816Z digest=sha256:2595d7f1f40f873426770870739fc788c73fc92a429867ccce81558116c1db79

Observation 41c05918-8fd1-42f2-8f56-a1613f3a8088 · outbound

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

Your Agent Can Defend Itself against Backdoor Attacks Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.530424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.530424Z digest=sha256:14047e310ef3558730a67e31185e3861ece3997c3aca8a895f51fa3aaab3dd77

Observation 718fa898-2536-49ab-a14b-c6f66374ed52 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:51.949720Z

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=2026-08-07T05:20:51.534900Z digest=sha256:5b5a6923bce267a277fbbc2dd00fa345bd2dc1dcf99ec0d846f4d51f9ab48282

Observation acca5bd7-abbf-4f1d-ae87-a3ac034cccb7 · outbound

This paper cites RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models.

Your Agent Can Defend Itself against Backdoor Attacks RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.539219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.539219Z digest=sha256:6f22f2eb8f238c051773ecf0b49f911dfd6ebdd7af392c22f9ac4ba2b9390c86

Observation a29784d0-353c-40ec-9880-7aed85b30541 · outbound

This paper cites Learning Semantic Textual Similarity from Conversations.

Your Agent Can Defend Itself against Backdoor Attacks Learning Semantic Textual Similarity from Conversations

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:20:51.661769Z

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=2026-08-07T05:20:51.544494Z digest=sha256:4e94eab3fc333b5220c52a6c2624461892ad6fc56c40a4a74178b1fd68f9a5cd

Observation 7650df87-f3e9-4997-bd04-e53f26ed5df1 · outbound

This paper cites AgentTuning: Enabling Generalized Agent Abilities for LLMs.

Your Agent Can Defend Itself against Backdoor Attacks AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.549345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.549345Z digest=sha256:145115c5d60fb450c8ca9931d3a902f1275f5ad0d0559d85d48b9d599e20e418

Observation e211d3d4-d8c9-4b98-9e66-5933138feb80 · outbound

This paper cites Building Cooperative Embodied Agents Modularly with Large Language Models.

Your Agent Can Defend Itself against Backdoor Attacks Building Cooperative Embodied Agents Modularly with Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.555233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.555233Z digest=sha256:797493c06cd3b8e78643cd330b11ae1d283e74da506ecdc751edba0b8f6a0e2b

Observation 3b9dd95c-b205-48da-a920-42360134f2f9 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Your Agent Can Defend Itself against Backdoor Attacks BERTScore: Evaluating Text Generation with BERT

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.560059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.560059Z digest=sha256:4a5e693d7b414f6f1a0322744632667bf9fcf37dd5b0468677b614e122160eb3

Observation cc47d461-b498-40cb-bae6-0f846a245cf8 · outbound

This paper cites @esa (Ref.

Your Agent Can Defend Itself against Backdoor Attacks @esa (Ref

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.564762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.564762Z digest=sha256:0c0892162acd2aab23fd2f3c0ff12449b6d188fb95765b357f81a8164e214f41

Observation 14cd1a1f-b69b-4428-8175-deb12bf75ca8 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.569659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.569659Z digest=sha256:f2079c3b11b95db10851bacd4b5c107e9b93dc25a42d33e97529f46dfbd0f9b7

Observation 85fc8b22-256d-4710-b717-0d7eb1581b63 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:51.917758Z

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=2026-08-07T05:20:51.574942Z digest=sha256:3b686ada131b11ae5fc962a7a1423a5cfaaf2f18ad6bf48549cadd3f0a1c375e

Pith citing papers

Observation 776aa649-0a09-47d3-86c7-b9131ecdfb8b · inbound

From Prompt to Physical Action: Structured Backdoor Attacks on LLM-Mediated Robotic Control Systems cites this paper.

From Prompt to Physical Action: Structured Backdoor Attacks on LLM-Mediated Robotic Control Systems Your Agent Can Defend Itself against Backdoor Attacks

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:48:02.788326Z

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=2026-05-13T16:47:10.678447Z digest=sha256:4013162d40d6809b47af59785507ed49ba1ace222abb6cd5460c592ce2246fb5

Observation 382a000c-c827-4da4-892a-afda204cce05 · inbound

ATAAT: Adaptive Threat-Aware Adversarial Tuning Framework against Backdoor Attacks on Vision-Language-Action Models cites this paper.

ATAAT: Adaptive Threat-Aware Adversarial Tuning Framework against Backdoor Attacks on Vision-Language-Action Models Your Agent Can Defend Itself against Backdoor Attacks

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:32.647173Z

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=2026-05-12T01:16:35.508455Z digest=sha256:51bb6516c4f1cb8120aa7e213e5b763af76cadc31ff27ef8afece31f62cd8ed7

Observation d78d9c3f-a3a1-4006-93c7-a17061f72b00 · inbound

When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems cites this paper.

When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems Your Agent Can Defend Itself against Backdoor Attacks

Reference 66

Resolution
unresolved
no resolver link, observed 2026-07-14T03:26:15.676915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:26:15.676915Z digest=sha256:7e419adcda21ac96225c9bbbba5eeea3104c156020265ef2a978acab141a2fa6