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Paper Citation Record · LEDGER

Math Multiple Choice Question Generation via Human-Large Language Model Collaboration

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.00864.

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

pith.paper-citation-record.v1
2405.00864 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:09:45.397233Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 12eb535a-c43b-4527-8324-5333230a1a0c · inbound

A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction cites this paper.

A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction Math Multiple Choice Question Generation via Human-Large Language Model Collaboration

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T22:09:45.397233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:09:45.397233Z digest=sha256:3108ccf4a392f971612c4bb247363b3f8a17ef06eb42c0dae6c5c1c3bc1a2859

Observation 2edf0001-71e8-40b0-8c75-ace463e3e428 · inbound

A Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI cites this paper.

A Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI Math Multiple Choice Question Generation via Human-Large Language Model Collaboration

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:48:46.652822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T12:48:45.177023Z digest=sha256:2bec8df30ad552371f8460c072657a9c99149625382e1b1f90e682f6679eba65