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Paper Citation Record · LEDGER

Fine-tuning ChatGPT for Automatic Scoring

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.10072.

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

pith.paper-citation-record.v1
2310.10072 v3

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:59.602545Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:08:48.334907Z

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 3f5ad71b-e5f9-416f-9b28-a80c0b14fffe · inbound

Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts cites this paper.

Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts Fine-tuning ChatGPT for Automatic Scoring

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:08:48.337648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T03:07:32.103513Z digest=sha256:b6746e88c16d75d396aa42a6ba3de029d534de4448c929b4e1583354ada2808b

Observation 4aa27a2d-7e00-442c-9251-11e735f1d2cc · inbound

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics cites this paper.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Fine-tuning ChatGPT for Automatic Scoring

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:59.602545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:59.602545Z digest=sha256:d33f3491785d8284d58a97030b647094d08015970991d44a35033b080e8db892