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Paper Citation Record · LEDGER

Exploring the Robustness of Large Language Models for Solving Programming Problems

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.14583.

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

pith.paper-citation-record.v1
2306.14583 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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:10:44.413793Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 196034a2-43b3-4cf2-a82e-220820b2af3d · inbound

Enhancing LLM Character-Level Manipulation via Divide and Conquer cites this paper.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Exploring the Robustness of Large Language Models for Solving Programming Problems

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T10:10:44.413793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T10:10:44.413793Z digest=sha256:26782c9e011b19f8bd2fcafacc13093ac4bc647b2bdb397ddcc4927689823978

Observation 2b073a6d-fbf1-4567-81cb-b7537b25882f · inbound

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions cites this paper.

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions Exploring the Robustness of Large Language Models for Solving Programming Problems

Reference 154

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:31.338168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:31.338168Z digest=sha256:aeb8692dd24cdfeb36c2c56314d4698106576a4e1e34115db1954ec565a91156

Observation b5a6a3eb-cd55-41b5-86c1-88c6f87f715c · inbound

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation cites this paper.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Exploring the Robustness of Large Language Models for Solving Programming Problems

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:07.828258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:07.828258Z digest=sha256:548a2ac8abafa4ca5000e4b550159fe843205419967043c8e39d47a8f441dc72

Observation e38fa3c6-2e91-4234-a290-78512fc7b7aa · inbound

Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis cites this paper.

Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis Exploring the Robustness of Large Language Models for Solving Programming Problems

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:16:33.396088Z

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=2026-05-08T03:07:06.924437Z digest=sha256:0dd2c8568cebc25a5f2731e46062ff3dc87b598c1ccea1ff65521191d238ea77

Observation 61b3316e-cc28-4cde-b39a-8755454362bb · inbound

Qiskit Code Migration with LLMs cites this paper.

Qiskit Code Migration with LLMs Exploring the Robustness of Large Language Models for Solving Programming Problems

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-06-26T16:29:35.790459Z

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=arxiv_source observed=2026-06-26T16:24:25.357338Z digest=sha256:0a392a00e3a262ad6721b5dc78b8e53bed2182d2785a641e781336662a6363e7