Pith. sign in

Paper Citation Record · LEDGER

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2505.13506.

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

pith.paper-citation-record.v1
2505.13506 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:48.263815Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:59.652064Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:33:01.757663Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82af808e-1e11-47d0-b804-f4af6fe9cdb1 · outbound

This paper cites Their presence indicates natural diversity in the data distribution.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation Their presence indicates natural diversity in the data distribution

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:02:48.790875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:02:48.234784Z digest=sha256:074bfabfc9886a5b5fb5b51b7396e07a0762c31854f0a9d851916618821b71dc

Observation 707899e5-455c-4174-b23a-3108944d2e68 · outbound

This paper cites an unresolved cited work.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:02:48.763006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:02:48.245403Z digest=sha256:80c109b10266d7d6fa2a8f09782791c787fb461fea16d1647bccb917598acd79

Observation 37f475c7-5ea7-4071-93e7-4dd37d2deab0 · outbound

This paper cites This measures both the presence of noise points and the number of distinct non-noise clusters, ensuring the data exhibits natural variation across multiple dimensions.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation This measures both the presence of noise points and the number of distinct non-noise clusters, ensuring the data exhibits natural variation across multiple dimensions

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:02:48.736228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:02:48.256980Z digest=sha256:5fefab65146cb116943d87723e6b2bc3c4557401ebfd8cd0379abcee3aea929a

Observation 285fdb4b-07ef-45a1-9192-2102cbd6c869 · outbound

This paper cites The Llama 3 Herd of Models.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation The Llama 3 Herd of Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:48.166948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:02:48.166948Z digest=sha256:d8ecd8c0957aff5608f4bd49cc43a043c4afb3df71edc5ff01cb56b2b41a4aeb

Observation 20261eac-d876-4550-90f6-8e15b080aaae · outbound

This paper cites Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:48.196315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:02:48.196315Z digest=sha256:0d005f2d461203cef541e2785455f29d0d5b9ca43b0da835bd7f5969587eb10c

Observation eff1fa8b-f35e-472a-9253-5473327000ae · outbound

This paper cites Jailbroken: How Does LLM Safety Training Fail?.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation Jailbroken: How Does LLM Safety Training Fail?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:48.208236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:02:48.208236Z digest=sha256:2cab4ee0f2204dc41b12fdd8f7e8c17ddf125986f28d14fbb91975d18eb56cfd

Observation ea02970d-3283-498a-89ed-f637e4bb3d48 · outbound

This paper cites {Target question}.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation {Target question}

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:48.216555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:02:48.216555Z digest=sha256:86faae8fc0ad223d3058bc27ab1b43773fbf27acd9195eb5f9a3406abcbcbc92

Observation 51436b32-81c9-4e08-9454-59d09028732d · outbound

This paper cites -" indicates that the number of tokens exceeds Vanilla RAG three times.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation -" indicates that the number of tokens exceeds Vanilla RAG three times

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:02:48.709349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:02:48.263815Z digest=sha256:451638bce13a64a03500d63133f4e6da591f99ff942f4e5abaeb61524ed66186

Observation 6149cad8-34a9-46dc-b0ca-88b326f5fcbd · outbound

This paper cites SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:48.188288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:02:48.188288Z digest=sha256:3de4976cea55798a9722034ae5eb64cc17525dd3b8b867e7e8a8d63ef9472001

Observation 73503ad5-5794-466c-b695-2a83f1d412c5 · outbound

This paper cites In Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval, pages 3417–3419.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation In Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval, pages 3417–3419

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:02:48.816949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:02:48.131352Z digest=sha256:705811d8bcda51754f5d52eeabf3d3aabf0d04b9c7ee1cd47d46d58ce64f1d0f

Observation ce3677de-3d45-4ea4-b1d5-bf0e094272d7 · outbound

This paper cites Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:48.180839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:02:48.180839Z digest=sha256:db4b149ad920e998987d3fc0ec144068ba9ec9928196a9ab10c2a584bd7fcb0f

Observation ba9cae06-de74-44d7-a939-8c656dd3fdc3 · outbound

This paper cites Preprint, arXiv:2405.20485.

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation Preprint, arXiv:2405.20485

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:48.143832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:02:48.143832Z digest=sha256:4dc0a2113667e74b6c3897aad1cfbbf5a43ed932f1dd68cbbb52c32371d97d39

Observation a3c8c8fc-2512-4b48-bc12-3ee0e87aa061 · outbound

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

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:48.160301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:02:48.160301Z digest=sha256:bb68b6bb66bb022e7e6aa794e111fc0e4411cb5d791689522b00eaa5075b4280

Pith citing papers

Observation a24b545a-b500-4a86-ba09-7fe218373904 · inbound

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

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:33:01.824614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:32:59.652064Z digest=sha256:55767a5ea09457451403a7d6d01f0b8137c57567c0b59a81518a5748ab221934