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Paper Citation Record · LEDGER

Evaluating Large Language Models with fmeval

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.12872.

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

pith.paper-citation-record.v1
2407.12872 v1

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:54:28.570456Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T23:35:43.268689Z

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 eb1aeec2-bb7d-4074-a21e-c13535ff7ecc · inbound

The Science of Evaluating Foundation Models cites this paper.

The Science of Evaluating Foundation Models Evaluating Large Language Models with fmeval

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-08-07T23:35:43.272176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T23:35:42.838370Z digest=sha256:d80190e0d20091467a9a443c0bda2c95941a9b000b98805c8a6df4c8ac475531

Observation 59b48fc7-4581-4cac-aa63-c1fc8ea4795e · inbound

Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages cites this paper.

Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages Evaluating Large Language Models with fmeval

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T11:54:28.570456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:54:28.570456Z digest=sha256:33334f8a4bd70d38a341aa1f71cf7414c03aae3cfdb1a58554a869aa8929d41c