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Paper Citation Record · LEDGER

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.04366.

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

pith.paper-citation-record.v1
2608.04366 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:59:12.804241Z

measured 34 of 34 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 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

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed2dbfba-b59c-4295-ac30-dc98342e6772 · outbound

This paper cites GPT-4 Technical Report.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.483142Z digest=sha256:e4bf7eb2de11698b937bac028f118a5d03bba3d72ee60236931f3665b4c52305

Observation b30e8509-a114-4ef5-8e3a-d0f8ad2f4e05 · outbound

This paper cites The llama 3 herd of models,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework The llama 3 herd of models,

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.513868Z digest=sha256:8dce9f8445dc182366a1af37ffcd03730dcb4a61b447566b3adc6b248f82196c

Observation 4ce05598-c221-437d-a188-06b6af91cdb7 · outbound

This paper cites DeepSeek-V3 Technical Report.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework DeepSeek-V3 Technical Report

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.517707Z digest=sha256:1bad7167641d03b9a5b0fe1a6aebd38eb8615496b3796571df4bc62efad43878

Observation d252483d-2a10-4e59-88a1-d1d54dc49e8a · outbound

This paper cites A Survey of Large Language Models.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework A Survey of Large Language Models

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.521683Z digest=sha256:7573e339b2281093d7d85373bb72cb5595838dd96c957357ef57b4dc7a40faab

Observation a73c8c7f-f8c4-4a1f-ae68-7a39174ec579 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.525967Z digest=sha256:16b7aeab475feb8a85bb4f42d7c95f2d12e29fe01ce6bacd1139316ffeb77425

Observation 05672e9a-3812-451f-8a5c-597f680231de · outbound

This paper cites Geo: Generative engine optimization,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Geo: Generative engine optimization,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:59:13.423659Z

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=2026-08-08T18:59:12.529749Z digest=sha256:4800800659e7baa197dddfd18ff98b221cfffbb3f08005728a8e805c090ad67e

Observation 2765eacf-69e5-4cb9-8559-ba23ca6dadff · outbound

This paper cites Poisoning Retrieval Corpora by Injecting Adversarial Passages.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Poisoning Retrieval Corpora by Injecting Adversarial Passages

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.533013Z digest=sha256:6acdaf1ece8eb8cf3bd8bc37a6d3637238deff1dff38e0ee26ff8438e3d7785f

Observation 3c4cb171-c8d0-46ff-a2e8-23461687a134 · outbound

This paper cites PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.538220Z digest=sha256:aaf9581acab3e94aa6d92c7f066f5da85b4280fb9683d8705c678b29c8f157b3

Observation 6f4ade92-63fb-44d3-a34b-fd6de7245b27 · outbound

This paper cites Certifiably robust rag against retrieval corruption,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Certifiably robust rag against retrieval corruption,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.541729Z digest=sha256:f22334661f6210c3b24ff44392c01435a08ca9b76a88464ed27771fd69400707

Observation 62c75eea-f158-466d-80ab-5b0c96776224 · outbound

This paper cites Defending against knowledge poisoning attacks during retrieval- augmented generation,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Defending against knowledge poisoning attacks during retrieval- augmented generation,

Reference 10

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no resolver link, observed 2026-08-08T18:59:12.545255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.545255Z digest=sha256:ec95b4b3fec4ea2e7d5b78c0edd88d2fb26379a4a662833ef20068d7a4bf658d

Observation 5c4c224c-3e86-49a1-8c59-dccc3001456c · outbound

This paper cites Web-ftp: A feature transferring-based pre-trained model for web attack detection,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Web-ftp: A feature transferring-based pre-trained model for web attack detection,

Reference 11

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raw_fallback, observed 2026-08-08T18:59:13.413608Z

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=2026-08-08T18:59:12.548305Z digest=sha256:71f213e9fb9258b267ce00d3e3491817de0e19709f2401e694950cbe1e56de1e

Observation 9418c8c5-ca4f-4b2f-9699-c1f0f1849f9f · outbound

This paper cites Group bft: Two-round bft protocols via replica grouping,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Group bft: Two-round bft protocols via replica grouping,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:59:13.402393Z

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=2026-08-08T18:59:12.552024Z digest=sha256:1392af47f21d333916d905a291bc9ad82a1e683469dbb2a76fd52543dcee21e9

Observation 47eb4bb5-1c9b-4898-be79-1770bebbce6e · outbound

This paper cites Abse: Adaptive baseline score-based election for leader-based bft systems,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Abse: Adaptive baseline score-based election for leader-based bft systems,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-08T18:59:13.391453Z

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=2026-08-08T18:59:12.555708Z digest=sha256:607fce5e8e6c797cd2e118f40010c0bc2413d9a2e8ef562af113238e5615b8b8

Observation 68f6fe60-a607-4617-9026-c498f34e45ac · outbound

This paper cites an unresolved cited work.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Unresolved cited work

Reference 14

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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=2026-08-08T18:59:12.559369Z digest=sha256:f1dde82296a4b621268dafc7f0637879a0e95787d21b03f8a709613d7366f42d

Observation 48fae6c0-8adc-49ce-8252-386dde92b091 · outbound

This paper cites Model context protocol,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Model context protocol,

Reference 15

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raw_fallback, observed 2026-08-08T18:59:13.369702Z

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=2026-08-08T18:59:12.588136Z digest=sha256:69c115c82b1a258743db46e5b899f22a399770c895278cec6228ea0fceda4125

Observation 7b435cf6-cbe3-4cfc-974b-5b7503926ce1 · outbound

This paper cites MCP Security Notification,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework MCP Security Notification,

Reference 16

Resolution
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raw_fallback, observed 2026-08-08T18:59:13.360475Z

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=2026-08-08T18:59:12.625871Z digest=sha256:2053b55f430699c080bb5f8f5607ce3d3ed67190a3b08b65b0d07142c15e6407

Observation 2f0ca9c5-43bd-4270-9f57-28ba7cf89de7 · outbound

This paper cites Medical large language models are vulnerable to data-poisoning attacks,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Medical large language models are vulnerable to data-poisoning attacks,

Reference 17

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raw_fallback, observed 2026-08-08T18:59:13.341603Z

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=2026-08-08T18:59:12.699607Z digest=sha256:5eb44c398c5954446114db9f5f8f0b6a0e24b07f221c1691adf272ead4990c76

Observation 79680e4c-6a9f-4d6a-94ff-0bc881d044af · outbound

This paper cites Differentially Private Generative Adversarial Network.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Differentially Private Generative Adversarial Network

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.738863Z digest=sha256:9d8f55478e2e784501a5274396a20ea6158463c926b7fb744a9d5f38cee9a4e5

Observation fb657c17-d253-458a-9a40-f207ddba4ed5 · outbound

This paper cites DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.753081Z digest=sha256:a94fcc47cb33e10b643ed1e262ff893c5c0a1f88a8930dac67552486d81cebf4

Observation dbbe4e87-09d1-4c7c-8650-b7873168f6e3 · outbound

This paper cites Privacy-Preserving Machine Learning: Methods, Challenges and Directions.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Privacy-Preserving Machine Learning: Methods, Challenges and Directions

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.756789Z digest=sha256:82492e5d169f7d151f50ce1a0192264b761bf6e8f20985abdd18727343feb746

Observation 7e8c2d9e-b2e2-4479-9dfa-d57d35d25ec8 · outbound

This paper cites Zero-knowledge proof-based verifiable decen- tralized machine learning in communication network: A comprehensive survey,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Zero-knowledge proof-based verifiable decen- tralized machine learning in communication network: A comprehensive survey,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.760735Z digest=sha256:ccc2c22479c9fcab69579ba99cab2fbedca03fad6f802c1d904b8374b57bd05f

Observation 60bc5569-62ee-404c-942d-636940f00f2d · outbound

This paper cites Natural questions: a benchmark for question answering research,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Natural questions: a benchmark for question answering research,

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.764139Z digest=sha256:41b77c5926b1e39f3fcccbb8ea0eb5403fa4f43533681d630068b3ff1829b48a

Observation 6370cc4d-5117-4a77-9ec9-ed5a8435b823 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.767507Z digest=sha256:ea4e9fe51e685a9ad36324928c38127379ae937be18ace17d61db0be782a257f

Observation 487c21eb-4143-4a10-8029-049a82054634 · outbound

This paper cites Medinote: Automated clinical notes,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Medinote: Automated clinical notes,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-08T18:59:13.319076Z

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=2026-08-08T18:59:12.771232Z digest=sha256:006d52c2d0a81f84dfa9d3b5a36349379f8e9fefee81fff37157e5345b4aa56f

Observation 3b13e3f0-4f93-4fc7-ae54-c333052de63d · outbound

This paper cites Finance alpaca dataset,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Finance alpaca dataset,

Reference 25

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raw_fallback, observed 2026-08-08T18:59:13.308169Z

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=2026-08-08T18:59:12.774892Z digest=sha256:2c4a5ab16a6af5c817e95d08eade9cb2150db88282b888a5553b94f04fd2faaa

Observation 0c9d724b-a353-4768-ab9c-4fb42403da88 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.778840Z digest=sha256:8d241ab9cb14d00a79b9234b18109a588f12b3eecdf964843870d7d18cd376ad

Observation 3bbd778e-feaf-45d5-a08b-9a750aeb48b2 · outbound

This paper cites Qwen2 Technical Report.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Qwen2 Technical Report

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.782382Z digest=sha256:054d36585f01fdf8075dc6ef47e4283dc3fe6e31197afd49d34751c82bba4f48

Observation db2cb437-7f35-4be6-b6db-050ee83d0460 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.786364Z digest=sha256:150d08ac614ee2b6b8e35816f72e8c263090bb4ca516c7d7d095990603888fd3

Observation 45096bda-9b1d-4d58-8977-ff3a2bc86dd7 · outbound

This paper cites Clinical ModernBERT: An efficient and long context encoder for biomedical text.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Clinical ModernBERT: An efficient and long context encoder for biomedical text

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.790254Z digest=sha256:94ad5104aefc6ed9361eefc7ee525433f1d006047fed53f9f48e4bbe9d66c668

Observation 0fc05d3d-ec8d-4b8a-a929-7ca1de08396e · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.793701Z digest=sha256:cefbc0f36bcba28162248cd2a2d32def4a3d68d0e6af24f8bdab7641247158a1

Observation ff621006-4c77-410a-80a9-ccc68a1c0f82 · outbound

This paper cites Llm factoscope: Uncovering llms’ factual discernment through measuring inner states,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Llm factoscope: Uncovering llms’ factual discernment through measuring inner states,

Reference 31

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raw_fallback, observed 2026-08-08T18:59:13.289367Z

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=2026-08-08T18:59:12.797329Z digest=sha256:880cacdfa6ca101f285ebcf79c473af204fd7173d40028d85f344096c72a46a4

Observation c84d98af-9314-45f5-89a6-d605a249ae40 · outbound

This paper cites The graph neural network model,.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework The graph neural network model,

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.800661Z digest=sha256:97272dd48db6208357793960bc0fd8707515f17f4a0e92333073e2d4960040b8

Observation 065b4d55-44eb-44f4-aa7e-84cd25adaa7d · outbound

This paper cites Graph Attention Networks.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Graph Attention Networks

Reference 33

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no resolver link, observed 2026-08-08T18:59:12.804241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.804241Z digest=sha256:05177f7df29c3fa6ff564dac1ed491b8d0e5be495f8ace41adb113db7db16c96

Observation 3f0bb6c7-8459-448e-85bc-17d35fb64abf · outbound

This paper cites Available: https://invariantlabs.ai/blog/ mcp-security-notification-tool-poisoning-attacks.

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework Available: https://invariantlabs.ai/blog/ mcp-security-notification-tool-poisoning-attacks

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:59:13.351204Z

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=2026-08-08T18:59:12.663480Z digest=sha256:cb921a0539f49fc031e30224d15c6102947a2562ad7891396cff8e4eb506204c

Pith citing papers

No inbound Pith citation observations are available.