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Paper Citation Record · LEDGER

Towards Evaluation Guidelines for Empirical Studies involving LLMs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2411.07668.

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

pith.paper-citation-record.v1
2411.07668 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:06.130019Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:28:55.729532Z

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 d8d57c17-cb25-4e72-811c-ce23ec1f90e4 · inbound

ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation cites this paper.

ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation Towards Evaluation Guidelines for Empirical Studies involving LLMs

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:06.130019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:48:06.130019Z digest=sha256:6d8a2241c689ebb0dc03bf4088e66fbed005041b2272634bd946869a0bb6f7fb

Observation a698d805-dbda-4b85-b8cf-1fc96f160193 · inbound

Get on the Train or be Left on the Station: Using LLMs for Software Engineering Research cites this paper.

Get on the Train or be Left on the Station: Using LLMs for Software Engineering Research Towards Evaluation Guidelines for Empirical Studies involving LLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:46:58.715847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:46:58.715847Z digest=sha256:4b77fcc59b545bbf7d0efb9b3eab322d47c4cdf970936f3b928c927b797f33c7

Observation cae5125c-8b11-4154-82b5-28ac8e880338 · inbound

Investigating the Use of LLMs for Evidence Briefings Generation in Software Engineering cites this paper.

Investigating the Use of LLMs for Evidence Briefings Generation in Software Engineering Towards Evaluation Guidelines for Empirical Studies involving LLMs

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:27:32.174988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:27:32.174988Z digest=sha256:f86e77d022a3278e3144ac12e3e6e4e5651e60a53b085d546ffba914a962edd4

Observation ebe7f5d7-98a7-460d-b241-bf4d0780c8df · inbound

A Methodological Framework for LLM-Based Mining of Software Repositories cites this paper.

A Methodological Framework for LLM-Based Mining of Software Repositories Towards Evaluation Guidelines for Empirical Studies involving LLMs

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T05:12:21.703877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:12:21.703877Z digest=sha256:fc52ef83af29f89295f2c9da69f167c31ad35a38fa57a6cd06d2d414dd5215e0

Observation 93ebf7eb-8c4b-431a-98d5-34e94620cca2 · inbound

Empowering Computing Education Researchers Through LLM-Assisted Content Analysis cites this paper.

Empowering Computing Education Researchers Through LLM-Assisted Content Analysis Towards Evaluation Guidelines for Empirical Studies involving LLMs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:23.741127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:10:23.741127Z digest=sha256:758b0fb218fbd337adddd7f40c9cb31de1e9d9f00252db117f89138642a29ae7

Observation 8b6123d9-3915-4df2-8b12-d2cf6c10d056 · inbound

Investigating Notable Metadata Practices in PyPI Libraries: An Empirical Study about Repository and Donation Platform URLs cites this paper.

Investigating Notable Metadata Practices in PyPI Libraries: An Empirical Study about Repository and Donation Platform URLs Towards Evaluation Guidelines for Empirical Studies involving LLMs

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:07:50.608103Z

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=2026-05-16T12:06:14.298660Z digest=sha256:490ebc140ce03e5d133220ccba68486091976b30d056674a4b3cf40503276f5b

Observation f8685cb5-aa26-4214-bd73-e8e156090309 · inbound

Brick-DICL: Dynamic In-Context Learning for Automated Brick Schema Classification cites this paper.

Brick-DICL: Dynamic In-Context Learning for Automated Brick Schema Classification Towards Evaluation Guidelines for Empirical Studies involving LLMs

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:28:55.731310Z

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=2026-06-27T01:18:51.949702Z digest=sha256:27bd6eec8276365454ec9c8d4a07c26c81705fbc7810b952d472394207f41acb

Observation fb5fb0ed-a2a7-48e9-9ce4-5592dda2ce2b · inbound

Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature Reviews cites this paper.

Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature Reviews Towards Evaluation Guidelines for Empirical Studies involving LLMs

Reference 97

Resolution
unresolved
no resolver link, observed 2026-07-31T04:15:30.060313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T04:15:30.060313Z digest=sha256:f50212e10de6dbb0ab337318f827765ba5aa92748c8be6ff1c1e5d6babee3566