Paper Citation Record · LEDGER

TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2501.00879.

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

pith.paper-citation-record.v1
2501.00879 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:16:58.216555Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:30:00.219920Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4e05f286-c84c-41e0-95b6-636c665ee72a · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 261

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:22:09.077950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb2a710f-6021-4e02-a6d1-55ff4db90a19 · inbound

Large Language Models as Computable Approximations to Solomonoff Induction cites this paper.

Large Language Models as Computable Approximations to Solomonoff Induction TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:58.216555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9632c2-972f-46cc-9595-ad9beed8f68c · inbound

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation cites this paper.

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:00.835351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs cites this paper.

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 a467cd7e-ad50-477d-8106-0bc8fb40e713 · inbound

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition cites this paper.

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:11.739574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c82426ad-011e-4a48-a2d6-a6836d30c819 · inbound

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis cites this paper.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:47:09.161897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90b28b9c-a8b9-4cd9-88d4-75c64cd04710 · inbound

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation cites this paper.

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:01:14.496725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0fcc320-bef9-4dc7-8d08-4b250ec0727b · inbound

REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack cites this paper.

REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T17:28:40.681273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c118fca-841a-4df3-b003-6efa317bae5a · inbound

Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection cites this paper.

Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:08.213731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd07344c-a108-4973-9785-ddb537bdea22 · inbound

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation cites this paper.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:26.802996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f716a1-aed4-4875-b454-7fcd14ca2fd6 · inbound

Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers cites this paper.

Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T15:09:22.345751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70cbbc0-8608-4741-9251-0eb9c4742840 · inbound

RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems cites this paper.

RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:18:25.937579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42f6e80a-64d0-4a6a-a722-463d83ee376d · inbound

How Adversarial Environments Mislead Agentic AI? cites this paper.

How Adversarial Environments Mislead Agentic AI? TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:11:07.600811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0cd5b13d-f47d-44e7-8b47-91c8e532d252 · inbound

Adaptive Defense Orchestration for RAG: A Sentinel-Strategist Architecture against Multi-Vector Attacks cites this paper.

Adaptive Defense Orchestration for RAG: A Sentinel-Strategist Architecture against Multi-Vector Attacks TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:19:46.790184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3589574-8ff3-490d-808e-3e0328ecb658 · inbound

Security Attack and Defense Strategies for Autonomous Agent Frameworks: A Layered Review with OpenClaw as a Case Study cites this paper.

Security Attack and Defense Strategies for Autonomous Agent Frameworks: A Layered Review with OpenClaw as a Case Study TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:41:26.963018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a58deb88-0643-4ccc-9387-e988c9d9d75f · inbound

Conflict-Aware Retriever Editing for Knowledge Injection Attacks on LLM-Based RAG Systems cites this paper.

Conflict-Aware Retriever Editing for Knowledge Injection Attacks on LLM-Based RAG Systems TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:59.127553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4f90451-5770-400f-a360-d0011cd07197 · inbound

Securing LLM-Agent Long-Term Memory Against Poisoning: Non-Malleable, Origin-Bound Authority with Machine-Checked Guarantees cites this paper.

Securing LLM-Agent Long-Term Memory Against Poisoning: Non-Malleable, Origin-Bound Authority with Machine-Checked Guarantees TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:30:00.221980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a10754a-0b8a-4cb6-9c0e-1a91678d2f4d · inbound

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption cites this paper.

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:47:27.168706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 713069cd-90a1-4716-834d-1b7dab3b9a30 · inbound

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework cites this paper.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T19:36:56.818416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10270b79-e22d-46c3-8fb1-d27f6a43bf44 · inbound

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution cites this paper.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 88

Resolution: unresolved; no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 921d8fdb-c382-4734-9795-2b86a5166311 · inbound

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation cites this paper.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-30T10:56:48.112346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388a33ac-7604-42ef-b875-0cc2da37e103 · inbound

DenialRAG: Single-Document RAG Poisoning via Embedded Parametric Denial cites this paper.

DenialRAG: Single-Document RAG Poisoning via Embedded Parametric Denial TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T00:08:58.464347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.