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Paper Citation Record · LEDGER

Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.07179.

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

pith.paper-citation-record.v1
2402.07179 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:55:54.726657Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:49:01.487958Z

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 9b434868-7637-409e-9c59-495b6bdfb979 · inbound

Investigating the Robustness of Retrieval-Augmented Generation at the Query Level cites this paper.

Investigating the Robustness of Retrieval-Augmented Generation at the Query Level Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T18:55:54.726657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:55:54.726657Z digest=sha256:d3578b165e59aa4a1a173982c81cbdfdf15e71a45f15fc62195e008c6f05c96d

Observation 9014105d-ea42-4b63-9c8d-5165e2519b28 · inbound

DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection cites this paper.

DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:49:01.623652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:48:58.906697Z digest=sha256:2caa16a55a2cb8b85bb7c05cd3819232388e525fd614547969ecd57e96276648