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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 2026-08-09T06:31:02.800959+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:d8df561d39440a9484fe338e36e99b1645408f399356bf9aa48a1ec53062dad8

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=sha256:27e3a72a7f4d84377d2190aa30c72cc635098982f98280948631819cc14a91a6

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=sha256:71cd735eeb468f2660235ad3b437db478f31aabfb6c65a40f0ef255e3855b44d

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=sha256:372748b5adbfc4d5f13fe4defcb48a6c323f1cfeb1b446bb822bd00f775a1da9

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.525967Z digest=sha256:d2f8314ec0f3603fd3884be8bd0d018a9f4d30f33e9afe62782ecbe31a00948e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.529749Z digest=sha256:92a7ccdcb1d342f1db2d058a9b8e2ebeb3fe1f21178eb3f7a7845d0dbc3b5239

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=sha256:5274a5fc40190ff14b0cb199276e7106e6a5c50c5552d173aec5fc7bb196097e

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=sha256:5caa7930cc04b2b497bc465e68b6baac156375a2ebef93915ee4bd2c677ffac7

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.541729Z digest=sha256:5c222a8445127a764b022fff2d847d1be3583791015b1f7d9e73387fbd6e6eee

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.545255Z digest=sha256:b10f2e101f9b3246e71387ed2bc6b8016e17c7f3788ab4868c1dcb6d485f169e

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.548305Z digest=sha256:c670d0af395e571a6762a1b511d6dad4e270eba3f9e4df31554cbe356cbaf44e

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.552024Z digest=sha256:4baacd94a878b7a560df337de691df74983c2f40b3197afbf12e9908314e8ffd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.555708Z digest=sha256:27fedaa21e2d697bf37e17e23d7f86a20eb8fc7f4a4bc49fe49568ff5d964c0a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.559369Z digest=sha256:10c98808558314e6dba96dbdf67c4d706cfbca97ac492ec4589f94a84b0d843f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.588136Z digest=sha256:bc68a4927505ff571ba6a4c4714ff9ec5db855d07f2de7f99261fd2d3f82bd8a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.625871Z digest=sha256:0b2dca6a8822906693773dc38ce1959332b11cd810638af1192e9919671330fd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.699607Z digest=sha256:bc93d3d5351e49f5964fbe92242d93016116e6b8ac35916a378b6ebb22354257

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:b4ad8b8a40c6f7fe8afb4bf866d313f68acf227ad0f85cd05e894fcbdd4ebb15

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:e51150ddf52491360b73fc6bdaf6ced9756e2280d6a5082695ca4c1afe27ca88

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=pdf_text observed=2026-08-08T18:59:12.756789Z digest=sha256:737c6cccc86d29c980253eee2ba3877c34eda9da77df49d8eeec64111a316156

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:ccd820276b0b31afd1f2af7fa3836a5b35b78f4c0d8e490453fced65177e9653

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=pdf_text observed=2026-08-08T18:59:12.764139Z digest=sha256:449b82e293b49d2314969a981822ecffa2269eae4cb681d7ec2abfb3e2d99402

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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source=pdf_text observed=2026-08-08T18:59:12.767507Z digest=sha256:d0fa281e9308ad87b993d653503becc51af5c82ced28eb6af6ebcd8632ba6316

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.771232Z digest=sha256:d3a22afe9484980b5498384f1884836c1145b51cf05a524f9da322cdadf6d808

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.774892Z digest=sha256:9becb75af53c7bcc7cbe5e3afbeb62cf37ed33d8e7ef09874ad49712feb494ac

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=pdf_text observed=2026-08-08T18:59:12.778840Z digest=sha256:2475afe1303c709fa2a84b1d5cc737c781f36c558ae775c09ce929c7d4ac34d8

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=sha256:581b80300d213319699cc718068dd3a715011865ac7a1e1dba2078f8299a595e

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:59:12.786364Z digest=sha256:43adcdb8930debc2f173804309c21f134c96422983283083f2d66252460b9819

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=sha256:71a2bc183c8807b8cea7164436e0931dbe830a2e7b1e7da64cd623a61fc83658

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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source=pdf_text observed=2026-08-08T18:59:12.793701Z digest=sha256:c37db5e1e30f3323558eb64078aa588d2a8db337b29e532aab64550abc99e2c6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.797329Z digest=sha256:b63227c50b3f7e6021f156198e0cef4bb2cc767d57b73e54e146366e274aa8e7

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:ee667d31f98dd7e8ea21cb58d9fded60fda7ec2dca05469e92ae1376eed02221

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=sha256:47b5cd6c4baae13c1127b918e72bf4d8acb71fc0827d96def7bf61131bf78fe9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:59:12.663480Z digest=sha256:9f1ec8ef0602e2d17551c05d0f577a6dc494d11f0400f401fcd183c97275a04a

Pith citing papers

No inbound Pith citation observations are available.