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Paper Citation Record · LEDGER

LLMEval: A Preliminary Study on How to Evaluate Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.07398.

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

pith.paper-citation-record.v1
2312.07398 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:21:26.117543Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:44:22.311978Z

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 75241382-06bd-4b0c-9af0-5f7d869d76bf · inbound

An Empirical Study of Evaluating Long-form Question Answering cites this paper.

An Empirical Study of Evaluating Long-form Question Answering LLMEval: A Preliminary Study on How to Evaluate Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T10:21:26.117543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:21:26.117543Z digest=sha256:f1e593775ba5a5397e259dac89fccb53bfd6c59479e707f870a2ed0f34c371b5

Observation 44dc7794-a857-4b43-b335-c5801c8ba467 · inbound

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data cites this paper.

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data LLMEval: A Preliminary Study on How to Evaluate Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:03.754096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:35:03.754096Z digest=sha256:e6ebd6767e64dc20ec7cd517771fa077d9b3a335003cc078ba9c504f1750f83d

Observation dcdb2131-e79b-467e-a25c-22274d10937f · inbound

Evaluation and Benchmarking of LLM Agents: A Survey cites this paper.

Evaluation and Benchmarking of LLM Agents: A Survey LLMEval: A Preliminary Study on How to Evaluate Large Language Models

Reference 136

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:44:22.317191Z

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=2026-08-06T12:44:21.875489Z digest=sha256:c408a00ccdd411631fa6555c5ade7ca01050e95c447683232542f72cd6815f1f