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Paper Citation Record · LEDGER

StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.04556.

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

pith.paper-citation-record.v1
2306.04556 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:14:48.257411Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:18:06.405595Z

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 6a29f11d-e42c-461a-b07d-81b81119d12f · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:06.407339Z

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=2026-05-13T20:18:06.304134Z digest=sha256:ee0b39016935b2382a20c7281b3e856e959896be967c16f371a70230fb5c85f4

Observation f5eb2194-2fdb-4734-a259-aeea6526f7d6 · inbound

Leveraging Metamemory Agent for Enhanced Data-Free Code Generation in Large Language Models cites this paper.

Leveraging Metamemory Agent for Enhanced Data-Free Code Generation in Large Language Models StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T20:35:28.268906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:35:28.268906Z digest=sha256:6e2b2cafacc3bf205a572b8f27cbdcefe11f180355f228f093d769f23ff5a6a8

Observation b3c5955a-04f7-41bb-881b-d927839b8181 · inbound

From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions cites this paper.

From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T10:14:48.257411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:14:48.257411Z digest=sha256:2a02e7e1a66b11522c3b0af3a0d4ee0cd318cddf69c67ba737fa8633b7631aba

Observation cd72a6ad-dd84-4218-890c-fab2f85b771d · inbound

"I Would Have Written My Code Differently'': Beginners Struggle to Understand LLM-Generated Code cites this paper.

"I Would Have Written My Code Differently'': Beginners Struggle to Understand LLM-Generated Code StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T10:07:00.564439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:07:00.564439Z digest=sha256:6a8ed829977ad29bd3c2b781158558234ddab4a1d45dbd8aa97683a3a6c92c8c

Observation 1f77e8a2-36db-4082-a7fd-34984ab7f5df · inbound

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants cites this paper.

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:12:38.803262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:38.803262Z digest=sha256:1051de71a7e1057fb7a2d0b21d6d30be5f9e47565d623f0637d83ea49ea4b19b