Paper Citation Record · LEDGER

ICE-Score: Instructing Large Language Models to Evaluate Code

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:51:23.674676Z

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 475944e1-066a-48d3-8887-8dec6e7ef09f · inbound

Harnessing Large Language Models for Curated Code Reviews cites this paper.

Harnessing Large Language Models for Curated Code Reviews ICE-Score: Instructing Large Language Models to Evaluate Code

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T04:51:23.674676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-09T06:31:02.800959+00:00.

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.