Paper Citation Record · LEDGER

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs

As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 4 inbound Pith citation observations for arXiv:2506.11415.

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

pith.paper-citation-record.v1
2506.11415 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:15:40.046988Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:27:04.088604Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:07:33.487385Z

Reference resolution

45 of 45 outbound references displayed

verified exact2
verified fuzzy17
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34b8da34-5773-4633-9537-ff6ef61a32a1 · outbound

This paper cites Harnessing the power of llms in practice: A survey on chatgpt and beyond,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Harnessing the power of llms in practice: A survey on chatgpt and beyond,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:35.566973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a3dc78-fc46-4051-a84c-dab78e38f203 · outbound

This paper cites The frontier of data erasure: A survey on machine unlearning for large language models,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs The frontier of data erasure: A survey on machine unlearning for large language models,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.848229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b09ba661-2336-48a2-b27d-6c750a001dca · outbound

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

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:35.690543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1432189a-e0ea-466b-9550-a77f3b42c579 · outbound

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

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:35.772041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf20d88-fa05-4d3b-a8a3-06ff188b4a43 · outbound

This paper cites When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:35.857559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a9ab1a-5f1c-4ae6-a186-69a611c7ae31 · outbound

This paper cites Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:15:40.648085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 187d8aaa-509a-4ab2-a7de-a92141cd0eb0 · outbound

This paper cites Poisoning Retrieval Corpora by Injecting Adversarial Passages.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Poisoning Retrieval Corpora by Injecting Adversarial Passages

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:36.006831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a82056-0b6d-4466-a75e-dd3ca5f81099 · outbound

This paper cites Bias unveiled: Investigating social bias in llm-generated code,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Bias unveiled: Investigating social bias in llm-generated code,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.835287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8eaf4be9-7f05-4ded-a15a-17ea84056a0c · outbound

This paper cites Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:36.203287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec645ee-b390-4fae-ae3b-c8c14b95b356 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:36.355589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f33f15e-0820-44cb-8058-050ad547d44d · outbound

This paper cites Evaluating interfaced llm bias,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Evaluating interfaced llm bias,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.826985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe62d919-66d7-4147-95b8-bca1de9ad3d2 · outbound

This paper cites Do fairness interventions come at the cost of privacy: Evaluations for binary classifiers,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Do fairness interventions come at the cost of privacy: Evaluations for binary classifiers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.819380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d439efad-5b11-4f99-86ba-958d087b3246 · outbound

This paper cites Afed: Algorithmic fair fed- erated learning,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Afed: Algorithmic fair fed- erated learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.811596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation adef5cc5-6154-4189-9bcd-3313fcc0f184 · outbound

This paper cites Bias and unfairness in information retrieval systems: New challenges in the llm era,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Bias and unfairness in information retrieval systems: New challenges in the llm era,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:36.982457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af747507-28dc-470f-b357-80975765f165 · outbound

This paper cites Fine-tuning a biased model for improving fairness,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Fine-tuning a biased model for improving fairness,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.799170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8fc35f26-8be6-4fea-adff-a3631b43842c · outbound

This paper cites Distilling fair representations from fair teachers,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Distilling fair representations from fair teachers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.791324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f372f77-b04b-45e4-91f1-2f7b1bf06bab · outbound

This paper cites Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:37.430708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 909fedb8-9465-45fc-beb1-98cd369b2a73 · outbound

This paper cites TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:37.510858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f584e68d-30a1-4156-b7b2-43865f35950b · outbound

This paper cites A survey on machine unlearning: Techniques and new emerged privacy risks,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs A survey on machine unlearning: Techniques and new emerged privacy risks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.782834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5afa17ca-c945-4a39-ba28-e986a063f3c4 · outbound

This paper cites Certifiably robust rag against retrieval corruption,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Certifiably robust rag against retrieval corruption,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:37.692270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92521ab5-c6cd-4af9-ae5b-8f788b9b30fa · outbound

This paper cites Average and strict gan-based reconstruction for adversarial example detection,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Average and strict gan-based reconstruction for adversarial example detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.773788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cfd79da1-2312-458f-aaf2-515ba5a2998b · outbound

This paper cites Generative adversarial JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 17 networks unlearning,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Generative adversarial JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 17 networks unlearning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.765262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 69e8a5cf-3992-4724-a474-43a684cf879e · outbound

This paper cites Bibliometric analysis of educational research in 2017 to 2021 using vosviewer: Google scholar indexed research,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Bibliometric analysis of educational research in 2017 to 2021 using vosviewer: Google scholar indexed research,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.755204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf8e60e1-54e6-4f11-a34a-60288ebb8cf1 · outbound

This paper cites Overview of trec 2021.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Overview of trec 2021

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.745013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73cfcd32-232b-4344-ae64-d5592c5456ea · outbound

This paper cites Bias and fairness in large language models: A survey,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Bias and fairness in large language models: A survey,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:38.318096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45498480-73f5-4c1b-ac98-a4ba784bcf61 · outbound

This paper cites An empirical study of rich subgroup fairness for machine learning,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs An empirical study of rich subgroup fairness for machine learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.727321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82388f54-24fe-4643-a53f-1f130811e93d · outbound

This paper cites Fair prediction with disparate impact: A study of bias in recidivism prediction instruments,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Fair prediction with disparate impact: A study of bias in recidivism prediction instruments,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:38.567555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87cd06f6-aba5-4fe0-b5ad-df99a0cf46c5 · outbound

This paper cites Certifying and removing disparate impact,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Certifying and removing disparate impact,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:38.635214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 573329f7-b5db-4245-84ef-0fa19187c5be · outbound

This paper cites TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:38.715186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 658ee460-5d59-4cf6-96ba-1e980303fe72 · outbound

This paper cites BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:38.811538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8111ef8-2935-4542-afef-9c37f54c55f8 · outbound

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

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:38.906102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e36aa399-4b1a-4577-8e6e-33a9cf155af4 · outbound

This paper cites Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:38.974260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcdc88b1-7970-45a5-be4f-8d5f9bbdb142 · outbound

This paper cites No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:39.055744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f9d40ef-403d-499a-b2be-0d7ebff12570 · outbound

This paper cites Towards fair rag: On the impact of fair ranking in retrieval-augmented generation,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Towards fair rag: On the impact of fair ranking in retrieval-augmented generation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.702706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ef45207-4509-4fed-b7a3-445ac6a03d86 · outbound

This paper cites Fairrag: Fair human generation via fair retrieval augmentation,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Fairrag: Fair human generation via fair retrieval augmentation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.641751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a99450ee-373e-4c87-b658-ea002937522c · outbound

This paper cites Mitigating Bias in RAG: Controlling the Embedder.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Mitigating Bias in RAG: Controlling the Embedder

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:15:40.277826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d2c6711-89b0-4c87-8668-d7682c2d1e5b · outbound

This paper cites Queen: Query unlearning against model extraction,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Queen: Query unlearning against model extraction,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:41.432744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 84f2a46e-05ac-479e-bc8b-3fa74943fcad · outbound

This paper cites an unresolved cited work.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:41.161738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13595b9b-a24f-44ab-b7ea-b88e44bf2bfb · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:39.511060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f79b251-ca69-4da2-a941-8a81d40c994e · outbound

This paper cites Qwen2.5 Technical Report.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Qwen2.5 Technical Report

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:39.571907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6ac0879-a7e0-4dff-b724-2f3a27484495 · outbound

This paper cites The Llama 3 Herd of Models.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs The Llama 3 Herd of Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:39.695587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1277735d-a8f0-4a21-aab2-20c7aaa0e98b · outbound

This paper cites BBQ: A Hand-Built Bias Benchmark for Question Answering.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs BBQ: A Hand-Built Bias Benchmark for Question Answering

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:39.789180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f6f5e77-d15e-49f3-807f-3f4d8d8d3355 · outbound

This paper cites StereoSet: Measuring stereotypical bias in pretrained language models.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs StereoSet: Measuring stereotypical bias in pretrained language models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:39.884508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee9759e2-85c1-427b-ab09-7da2a1cf21bf · outbound

This paper cites Pyserini: A python toolkit for reproducible information retrieval re- search with sparse and dense representations,.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Pyserini: A python toolkit for reproducible information retrieval re- search with sparse and dense representations,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:40.854849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 77506a78-4796-4cbc-94fe-84a85cf2d5a9 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:40.046988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5164d2d3-79ba-4a74-a880-8b9bbf275098 · inbound

Epistemic Bias Injection: Manipulating LLM Opinion via Selective Context Retrieval cites this paper.

Epistemic Bias Injection: Manipulating LLM Opinion via Selective Context Retrieval Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T19:27:04.088604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425209cb-a80f-49e6-bc06-4261471c5c19 · inbound

Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions cites this paper.

Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:21:03.653846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae227b23-faea-48a1-abfe-a839cf5a023b · inbound

SoK: Colluding Adversaries in Machine Learning Pipelines cites this paper.

SoK: Colluding Adversaries in Machine Learning Pipelines Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:07:33.489406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e29d505d-0a96-438a-bed2-6fe1a025f584 · inbound

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability cites this paper.

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs

Reference 195

Resolution: unresolved; no resolver link, observed 2026-07-14T12:01:22.824663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.