Paper Citation Record · LEDGER

The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.02806.

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

pith.paper-citation-record.v1
2404.02806 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:12:42.024723Z

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

1
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 9c9d0fa9-e934-448e-b5cd-4d5f3bfc40bb · inbound

Towards Decoding Developer Cognition in the Age of AI Assistants cites this paper.

Towards Decoding Developer Cognition in the Age of AI Assistants The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:42.024723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da9dd4fe-2709-43c9-adad-ac262a9c5c87 · inbound

Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility cites this paper.

Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:25.950216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 905af829-b390-43e0-96fa-7d373ca178a1 · inbound

Copilot Arena: A Platform for Code LLM Evaluation in the Wild cites this paper.

Copilot Arena: A Platform for Code LLM Evaluation in the Wild The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T21:56:20.259808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702fee61-5454-4c23-b8ba-f38e89d8764f · inbound

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration cites this paper.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:09.420051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa831108-2c89-4da0-a5b7-ce30165fff39 · inbound

Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style cites this paper.

Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:10.991739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f45fcfc-1194-477b-bfca-e9cb7ebf198b · inbound

RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions cites this paper.

RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-09T19:35:39.734049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4225ae6d-61f2-47a0-b33e-3585587994e8 · inbound

Synthetic Hallucinations, Real Gains: Hard Negatives from Frontier Models for FIM Hallucination Mitigation cites this paper.

Synthetic Hallucinations, Real Gains: Hard Negatives from Frontier Models for FIM Hallucination Mitigation The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T11:42:04.421362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.