Pith. sign in

Paper Citation Record · LEDGER

Scaling Evidence-based Instructional Design Expertise through Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.01006.

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

pith.paper-citation-record.v1
2306.01006 v2

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 2026-08-05T18:37:08.517562Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:02:37.759698Z

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 6ec45aad-8609-4cf7-8224-058da73ca8ea · inbound

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance cites this paper.

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance Scaling Evidence-based Instructional Design Expertise through Large Language Models

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:02:37.763664Z

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=2026-05-23T06:00:56.578343Z digest=sha256:591240da15f03af315f041748bd5d4f22f573fa4669a03ec9ba70c8a7d528046

Observation ed74c25e-f850-479b-a3eb-a6054015375a · inbound

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities cites this paper.

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities Scaling Evidence-based Instructional Design Expertise through Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T18:37:08.517562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:37:08.517562Z digest=sha256:ec75820dceb75daff8e3c38d45f496bf743c91c41d8981b5378dbac102756161