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Paper Citation Record · LEDGER

ICE-Score: Instructing Large Language Models to Evaluate Code

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.14317.

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

pith.paper-citation-record.v1
2304.14317 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:34:36.936956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T07:32:00.276184Z

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 bd8878b1-3bcb-4fb3-ba83-47ba142e2d6e · inbound

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code cites this paper.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code ICE-Score: Instructing Large Language Models to Evaluate Code

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:36.936956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:34:36.936956Z digest=sha256:60a4c546de0ac6e1ec0d8a4a7bffe9898f25d83b79091d32ea5b171f81290a5b

Observation 67c31f2d-c63d-425a-aa85-98d694b3845b · inbound

Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering cites this paper.

Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering ICE-Score: Instructing Large Language Models to Evaluate Code

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:32:00.277459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T07:29:03.994957Z digest=sha256:ced4a6bcb0e773600fd84d4ed90063da1fcc6c8ba49e2c6935bfc12920216785

Observation 11d3349f-b591-41f4-bd36-afda58905c82 · inbound

Balancing Usefulness and Naturalness: An LLM-based Curation Pipeline for Code Review Comments cites this paper.

Balancing Usefulness and Naturalness: An LLM-based Curation Pipeline for Code Review Comments ICE-Score: Instructing Large Language Models to Evaluate Code

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-13T02:24:25.366633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T02:24:25.366633Z digest=sha256:70513f3a5046a727986046893ee0988c9111146fad46b511df91a3e31db76894