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Paper Citation Record · LEDGER

Using Large Language Models to Provide Explanatory Feedback to Human Tutors

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2306.15498.

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

pith.paper-citation-record.v1
2306.15498 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:58:31.273426Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:58:32.322638Z

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 fd3db0b3-8e72-418e-a593-f7f298041458 · inbound

VicSim: Enhancing Victim Simulation with Emotional and Linguistic Fidelity cites this paper.

VicSim: Enhancing Victim Simulation with Emotional and Linguistic Fidelity Using Large Language Models to Provide Explanatory Feedback to Human Tutors

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:58:32.328435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T21:58:31.273426Z digest=sha256:62adf825ae0dc49125f4c8d1c0a286bd855f44407484f6e25afb6bb809b4b42b