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Paper Citation Record · LEDGER

Towards Trustable Language Models: Investigating Information Quality of Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.13086.

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

pith.paper-citation-record.v1
2401.13086 v1

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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:45:47.424969Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:28:51.767261Z

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 ba007ee1-7879-4889-8ecc-81f8c819e6ee · inbound

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models cites this paper.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Towards Trustable Language Models: Investigating Information Quality of Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T18:45:47.424969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:45:47.424969Z digest=sha256:5a99870ddfe6cb2819fc73522c562edd0dffe37bc9e1c1c272969c1f4f2f1df3

Observation 9890627a-8913-48d3-a431-9e35e99f10dd · inbound

Distilling Desired Comments for Enhanced Code Review with Large Language Models cites this paper.

Distilling Desired Comments for Enhanced Code Review with Large Language Models Towards Trustable Language Models: Investigating Information Quality of Large Language Models

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:28:51.771916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:28:51.148131Z digest=sha256:639d1adde439a24398713111a61f90f960bb0876cdf08cdc073ac193ca262773

Observation 97e6083e-cf9a-4c01-9e59-291d7a03cf27 · inbound

KNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibration cites this paper.

KNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibration Towards Trustable Language Models: Investigating Information Quality of Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T21:28:02.643425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:28:02.643425Z digest=sha256:73cf01eacd89833d299adc06078c317146acc1aa66e808c140a1fb3ba203d2b5