Pith. sign in

Paper Citation Record · LEDGER

Local Large Language Models for Complex Structured Medical Tasks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.01727.

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

pith.paper-citation-record.v1
2308.01727 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:19:02.072723Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T20:49:38.153635Z

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 61b07ea4-db43-4407-8f7f-e8364e5bfa3d · inbound

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data cites this paper.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Local Large Language Models for Complex Structured Medical Tasks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T20:19:02.072723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:19:02.072723Z digest=sha256:a1b077b0c2484536088ec7e9325868f62835eef7574f2f2d8777d9ae35cf224f

Observation 839ed5fb-3ec6-4362-8bc4-6d1680a95ca0 · inbound

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing Local Large Language Models for Complex Structured Medical Tasks

Reference 101

Resolution
verified exact
local_arxiv, observed 2026-08-04T20:49:38.157716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T20:49:37.947200Z digest=sha256:ae31605cd80eece4953d47951f15b02469c351d18b42ae1bdc8a9aab7a5d9d13