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Paper Citation Record · LEDGER

Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.04384.

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

pith.paper-citation-record.v1
2502.04384 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:19:40.710871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:14.397953Z

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 39b9a445-53e9-4ea6-8d43-2dbbd90fb24d · inbound

Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery cites this paper.

Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:19:40.710871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:19:40.710871Z digest=sha256:27eba9a9f709f4bd7c01fa0c6163b0f97159b6ce934616fc34f1d970f5d90bd2

Observation 738bec2e-2c32-48ec-a72c-d45c7d757f6e · inbound

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches cites this paper.

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications

Reference 297

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:56:14.399259Z

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=2026-06-28T17:35:01.285534Z digest=sha256:1a286b144d3edcb48b9a148b095e6439ad47a5cfa7152550f959800c56afbeac