Paper Citation Record · LEDGER

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection

As of 16 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2608.08100.

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

pith.paper-citation-record.v1
2608.08100 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:31:12.301022Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

43 of 43 outbound references displayed

verified exact0
verified fuzzy33
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9f87155-605a-4a4e-8f91-f11e4a9b37d5 · outbound

This paper cites PoisonedRAG: Knowledge Cor- ruption Attacks to Retrieval-Augmented Generation,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection PoisonedRAG: Knowledge Cor- ruption Attacks to Retrieval-Augmented Generation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.259350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5a289b0a-04ae-4529-80e9-ac804b968193 · outbound

This paper cites Temporal Dynamics of Memory Poisoning in Web3-Style LLM Agents,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Temporal Dynamics of Memory Poisoning in Web3-Style LLM Agents,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.244285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 561603f7-a009-4921-8046-9a3abd40da30 · outbound

This paper cites Not What You’ve Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injec- tion,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Not What You’ve Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injec- tion,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.229170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c7273308-16ed-4f82-b79e-48bf680f61df · outbound

This paper cites SafeRAG: Benchmarking Security in Retrieval- Augmented Generation of Large Language Models,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection SafeRAG: Benchmarking Security in Retrieval- Augmented Generation of Large Language Models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.213985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b73f9c55-69f3-404b-a939-15df1af7edce · outbound

This paper cites Outside the Closed World: On Using Machine Learning for Network Intrusion Detection,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Outside the Closed World: On Using Machine Learning for Network Intrusion Detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.199712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cca24721-3864-411a-8314-ee4f19ee2b22 · outbound

This paper cites The Base-Rate Fallacy and Its Implications for the Difficulty of Intrusion Detection,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection The Base-Rate Fallacy and Its Implications for the Difficulty of Intrusion Detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.184556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 52be8446-2ee7-4867-a18e-ddb1825b6f21 · outbound

This paper cites UNSW-NB15: A Comprehensive Data Set for Network Intrusion Detection Systems,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection UNSW-NB15: A Comprehensive Data Set for Network Intrusion Detection Systems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.170082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e653bc4-b1b5-4b29-9a99-af385e6d08d3 · outbound

This paper cites Poisoning and Evasion: Deep Learning-Based NIDS under Adversarial Attacks,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Poisoning and Evasion: Deep Learning-Based NIDS under Adversarial Attacks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.155096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5f237742-4fd8-4159-841a-8f6b88100e99 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge- Intensive NLP Tasks,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Retrieval-Augmented Generation for Knowledge- Intensive NLP Tasks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.140259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb0e40b1-9d54-4e7d-a8a8-56c5aadf11a0 · outbound

This paper cites RAGAS: Automated Evaluation of Retrieval Augmented Generation,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection RAGAS: Automated Evaluation of Retrieval Augmented Generation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.126045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac4b5711-b39b-4dea-b3bc-0e1ba64e23b0 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection C-Pack: Packed Resources For General Chinese Embeddings

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:12.149279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a0d23d-e37a-4681-8f28-ee0dc4d4b295 · outbound

This paper cites The Probabilistic Relevance Framework: BM25 and Beyond,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection The Probabilistic Relevance Framework: BM25 and Beyond,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.111018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05764f3d-66c4-4952-9341-195e06de55f5 · outbound

This paper cites Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.096700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9409e9d3-3259-4e1b-bc51-299fbc4f6cce · outbound

This paper cites Random Forests,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Random Forests,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.082297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b5f1b1d6-e1bd-412a-bf2f-7bdc53f14bdf · outbound

This paper cites XGBoost: A Scalable Tree Boosting System,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection XGBoost: A Scalable Tree Boosting System,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.067570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 076c0105-16a0-4fea-9be4-fbb019bb89e4 · outbound

This paper cites A Survey of Network-Based Intrusion Detection Data Sets,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection A Survey of Network-Based Intrusion Detection Data Sets,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.053240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a7aa011-9f27-4fb9-9ad8-bbf344820433 · outbound

This paper cites Cy- berRAG: An Agentic RAG Cyber Attack Classification and Reporting Tool,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Cy- berRAG: An Agentic RAG Cyber Attack Classification and Reporting Tool,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.038318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c8769d73-ef09-4c12-b4fd-3ccce4480f7e · outbound

This paper cites MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:12.181329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e197c7b7-70ff-429b-acd6-f795017b843a · outbound

This paper cites FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:12.186108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 962c72b9-fb6e-4970-907c-99d332ae06d6 · outbound

This paper cites FlowTransformer: A Transformer Framework for Flow-Based Network Intrusion Detection Systems,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection FlowTransformer: A Transformer Framework for Flow-Based Network Intrusion Detection Systems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.023103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c94b06fd-b20a-4bf6-b0c4-3ae309e1ed46 · outbound

This paper cites Billion-Scale Similarity Search with GPUs,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Billion-Scale Similarity Search with GPUs,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:13.007490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c1d94f46-8613-4045-9723-3885c6784161 · outbound

This paper cites SMOTE: Synthetic Minority Over-sampling Technique,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection SMOTE: Synthetic Minority Over-sampling Technique,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.991141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4dbfa03-50bc-46cc-8727-ca6b6d7243b0 · outbound

This paper cites Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:12.204782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6073300e-9ef7-48e0-95cd-99ddb8e0f477 · outbound

This paper cites Basic Con- cepts and Taxonomy of Dependable and Secure Computing,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Basic Con- cepts and Taxonomy of Dependable and Secure Computing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.976006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2adfcbbb-2611-4ee3-84ad-9e711c8bf373 · outbound

This paper cites Security Evaluation of Pattern Classifiers under Attack,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Security Evaluation of Pattern Classifiers under Attack,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.960727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 02f17696-ed1e-4511-82f2-0f1b4280aa15 · outbound

This paper cites Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.944754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d10bb2a6-df30-445c-a118-37436469834f · outbound

This paper cites Dense Passage Retrieval for Open-Domain Ques- tion Answering,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Dense Passage Retrieval for Open-Domain Ques- tion Answering,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.928443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3805553e-b315-4433-9892-a5aabd11d051 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:12.228187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3193cebe-57b4-44f0-9a87-16bb569380dd · outbound

This paper cites Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.913023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0d8821d1-c191-44fa-955e-f9a06a7602c9 · outbound

This paper cites Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.896184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d766553c-6d5d-42cd-a901-7cb5578c4a13 · outbound

This paper cites On the Effectiveness of Machine and Deep Learning for Cyber Secu- rity,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection On the Effectiveness of Machine and Deep Learning for Cyber Secu- rity,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.880861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 59bd10ca-a856-4463-80d2-2ff910165dad · outbound

This paper cites Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characteriza- tion,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characteriza- tion,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.864964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 993d9eee-5f9a-4be0-ad7a-e240d406ba78 · outbound

This paper cites The Evaluation of Network Anomaly Detec- tion Systems: Statistical Analysis of the UNSW-NB15 Data Set,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection The Evaluation of Network Anomaly Detec- tion Systems: Statistical Analysis of the UNSW-NB15 Data Set,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.848844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 95ac9cca-b663-4072-89a1-72c76f51a39f · outbound

This paper cites Phantom: General Trigger Attacks on Retrieval Augmented Language Generation,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Phantom: General Trigger Attacks on Retrieval Augmented Language Generation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:12.258416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 272564cc-6dee-4971-b26c-ba64eeebd544 · outbound

This paper cites Practical Poisoning Attacks against Retrieval- Augmented Generation,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Practical Poisoning Attacks against Retrieval- Augmented Generation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:12.263349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 493cb7af-da58-49ae-b1ef-462bc84e77d7 · outbound

This paper cites Defending Against Knowledge Poisoning Attacks During Retrieval-Augmented Generation,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Defending Against Knowledge Poisoning Attacks During Retrieval-Augmented Generation,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:12.268147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89ab000e-6796-42c2-8a62-71f4e4cc5586 · outbound

This paper cites A Detailed Analysis of the KDD CUP 99 Data Set,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection A Detailed Analysis of the KDD CUP 99 Data Set,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.830894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c8b67d59-6e17-4a83-9ea4-5546578c94ac · outbound

This paper cites Long Short-Term Memory,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Long Short-Term Memory,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:12.277789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9504cd2-7b1a-413b-885a-e31c21afab06 · outbound

This paper cites Intrusion Detection System: A Comprehensive Review,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Intrusion Detection System: A Comprehensive Review,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.801239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 285bc6a6-34ed-4d32-9aea-79c230a2b942 · outbound

This paper cites A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.785595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e411a902-c511-4677-9922-70a89cbf5c26 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.770005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4bade74-f5a5-487a-9c84-5cad1712eaa6 · outbound

This paper cites Traceback of Poisoning Attacks to Retrieval- Augmented Generation,.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection Traceback of Poisoning Attacks to Retrieval- Augmented Generation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:12.754204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fef6f70f-e3ab-4355-b74e-1b7df5ac0591 · outbound

This paper cites CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models.

Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:12.301022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.