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Paper Citation Record · LEDGER

Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.20119.

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

pith.paper-citation-record.v1
2504.20119 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:39:30.304142Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:58:45.171226Z

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 065b5508-60fc-413d-9e7c-f652b27a5e9f · inbound

A Survey of Context Engineering for Large Language Models cites this paper.

A Survey of Context Engineering for Large Language Models Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:58:45.173586Z

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.

source=pdf_text observed=2026-05-13T20:58:45.060041Z digest=sha256:77a3829a7e5aea0f5751db54e7df3df54199590ae1094191b2c8feed1f6e1864

Observation 8e119205-8ef6-4d02-9bd1-3ce6d6dfaf79 · inbound

Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting cites this paper.

Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:30.304142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:30.304142Z digest=sha256:931b72cb33d0b44a06bc61529baeacb4e9bf2830ee596d44f32fe9f7750d98eb