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Paper Citation Record · LEDGER

Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.08033.

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

pith.paper-citation-record.v1
2303.08033 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:54:33.235032Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:10:11.084733Z

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 e680c792-ea15-4342-afba-83914e328dd2 · inbound

GPAI Evaluations Standards Taskforce: Towards Effective AI Governance cites this paper.

GPAI Evaluations Standards Taskforce: Towards Effective AI Governance Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T15:54:33.235032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:54:33.235032Z digest=sha256:2ffd043dbce95f50457e50d2c7aaa7128a6e40622d0bc491383474912165dd22

Observation 8cd9ee8d-745d-4c39-adda-2f6e67a173d7 · inbound

Seeing the Forest and the Trees: Solving Visual Graph and Tree Based Data Structure Problems using Large Multimodal Models cites this paper.

Seeing the Forest and the Trees: Solving Visual Graph and Tree Based Data Structure Problems using Large Multimodal Models Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T15:22:13.591101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:22:13.591101Z digest=sha256:51e37bc201236ce9baab5f3c76a82e131980b0437362c38d8492410e51211948

Observation a86fa1c8-04a0-4dd9-9cd0-fa355abbbaf9 · inbound

Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQs cites this paper.

Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQs Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:10:11.089771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:10:10.962249Z digest=sha256:89eb7e1979a47398c87cb457052f38add05a4c935319ad0bbff470e62660a946

Observation aba71352-8996-48c3-a46f-b14e26fa7f29 · inbound

Is Solving Better Than Evaluating GenAI Solutions? cites this paper.

Is Solving Better Than Evaluating GenAI Solutions? Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-01T05:13:19.378479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:13:19.378479Z digest=sha256:512e0433ba781b467822ec55e679e885a77cf217848d0d8eb1a24ae9d9adf697