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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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:ec489ccde4dbb738ea459d259219556ec2f09a91f1744d5ea98c9a8c5d8a5866

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=sha256:5a54a87f2bb114190cab024e9f4c0984b04fe4aee34d481d4080db7a4a98820e

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:c7b102e30520a2baf5b77d683b6a75c28fc29616299847dd8270a8d816eea8e9

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.521683Z digest=sha256:74af85dbc37f50a67c0150e75edaa6be6f8bc15b149d3978ee3aa6d1e4e8e016

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=sha256:9abb8a23119a89191e5bbc62e51eaf0363354dc336e3062d884951b76d9e0c5b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.529749Z digest=sha256:b7424cad429186a5018f6e31f234e33974701a30190c375017552beb1a835a94

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=sha256:9e59de89e12da9b2cd8e22f7f0b06f3752a3435c6d1ba4a3dfcf1e8a55e8e014

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=sha256:3ce60d181906cae6e599feeafd8337a1ea5dc8be316cfcd901ef92672c5dd82f

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=sha256:429543ab9771de3893bebbee5188b6389fab49740648eb6f530bc150a76fce58

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:cffb2ede7ac9695a87bc4c0c89920fe3bfba80f905062c2b9b2c29cf187f111b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.548305Z digest=sha256:2ae230e7ca22ad96459ae25c0822a9dcacd856aaec47bf5e8a1be62e67158eb2

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.552024Z digest=sha256:06cb5616bc0c2bc72314897bf6bc1dc9e5e539277581b1e523594fc483afdd57

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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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.555708Z digest=sha256:d6502e252babd87f0dab39dabf1fdd469c7150e9ea884889f52cd0c584f025f1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.559369Z digest=sha256:ad03cb330b85bc3867999699daaa59f4a276cdda82e937340b74512dacdfba11

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.588136Z digest=sha256:673a66d322cfcd1016729fc79eda19ef3fc8f94e64ab11931aa7657ddad480ac

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.625871Z digest=sha256:9008b1b29b55f75efebc22cd47e753cba7c01fb8955ab57f89410f9866586eaa

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.699607Z digest=sha256:1b08c75ce8f85869591d0ba707536ee47bb997d37fe3e60aef7e4ec773d8391e

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:d48fb19f21868ed45fc05ea05ec5aacf5aac30793b0de6fc7c26f88260ee1415

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:b2add53fd888bcabafc3b40f50fe9f212850f7e366741e83b30ad1ebe8e30e76

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

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source=pdf_text observed=2026-08-08T18:59:12.756789Z digest=sha256:238f7d0ef43ef3d9040c336b81697d64ff943a7baf77be6eb56159353d1b3b2d

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

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source=pdf_text observed=2026-08-08T18:59:12.760735Z digest=sha256:dae454ca471b577a376b9616ac6a691f0614069640b8b9c12ff78fa99bc00927

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.764139Z digest=sha256:a0b2d453ff57048e67cc4712b69b3dda0484754d905547ab3a8e729e32b8131b

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=sha256:6c2b9e2eb94fa7a368d78d81f0afea533999fe4c548d8e999bd09c0d5c6f1408

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.771232Z digest=sha256:0d0a1bc8d2a4002551de186d0d2b046dcc5eeb9bf35ddab3665000532e6b7bce

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.774892Z digest=sha256:10e710c0ae167eeb87ba685b7cbffab0dc28b397820785f00c39862159d76099

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=sha256:4528d0fae44a301eff39d569b96dbcba7d61b85c87a4b948da649d7544d0027b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.782382Z digest=sha256:30824222037276440f593793462e237044c1a6098608b7279846bfa1730cc313

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:d0f840e913ddec48a6f83de5b5e2de1a6e2ea1697e0ac36dbecf510ed1058575

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=sha256:1c11cda60ec3539b9e3e7a90cffea216fcfc78864c532d4f747a111f028cbf78

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:b8d5ac5aeafd3e7a1c697dc60f5ddc68ea6ac02e67018b63dca011d0bd08dc0a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.797329Z digest=sha256:b479ab6af1255e3ac6f06471c5ac07ca535387e5f48478111c88ef6ca473218b

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=sha256:082750c0e215baac85a99afa72d0b90150d4aa4e9d769df3f46001123ffce222

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.804241Z digest=sha256:5e0f75a239c66d60f9626cd3eefaff9c5cc49998dda0df7646fa43c322ada738

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:59:12.663480Z digest=sha256:7fbe00ad0a49d206df59025b3a97f56c43d71a8e05484ee99fdc9885c0a58ceb

Pith citing papers

No inbound Pith citation observations are available.