Paper Citation Record · LEDGER

Learning Code Preference via Synthetic Evolution

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.03837.

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

pith.paper-citation-record.v1
2410.03837 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:10.586287Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:24:01.799234Z

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 d5e2dccc-566f-4e32-b24f-8de97248f6a7 · inbound

ProSec: Fortifying Code LLMs with Proactive Security Alignment cites this paper.

ProSec: Fortifying Code LLMs with Proactive Security Alignment Learning Code Preference via Synthetic Evolution

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T17:10:55.512001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d898da2e-a25f-4a75-ae66-5c9731a6802b · inbound

ExecRepoBench: Multi-level Executable Code Completion Evaluation cites this paper.

ExecRepoBench: Multi-level Executable Code Completion Evaluation Learning Code Preference via Synthetic Evolution

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T14:27:05.647464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90356811-4075-44d3-b53f-9665a1ab5c37 · inbound

COFFE: A Code Efficiency Benchmark for Code Generation cites this paper.

COFFE: A Code Efficiency Benchmark for Code Generation Learning Code Preference via Synthetic Evolution

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T11:01:27.824172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74c64b38-a827-492c-a85e-aa5eb19e2e68 · inbound

J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge cites this paper.

J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge Learning Code Preference via Synthetic Evolution

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:10.586287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18cdc02d-4acd-46fb-8f9e-812bbee1aff9 · inbound

A Mixture of Linear Corrections Generates Secure Code cites this paper.

A Mixture of Linear Corrections Generates Secure Code Learning Code Preference via Synthetic Evolution

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:59:03.902262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d02fd84-6aba-4654-aeb8-bfb105fd3958 · inbound

Position: Intelligent Coding Systems Should Write Programs with Justifications cites this paper.

Position: Intelligent Coding Systems Should Write Programs with Justifications Learning Code Preference via Synthetic Evolution

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T23:02:00.785817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c85c229-fcb5-4a33-9dae-16d0bacd200c · inbound

InfoSynth: Information-Guided Benchmark Synthesis for LLMs cites this paper.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Learning Code Preference via Synthetic Evolution

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T13:06:56.241435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e7c686a-f1ed-41c0-adf8-62d604f4bc90 · inbound

Subjective Code Preferences in Experts and Large Language Models cites this paper.

Subjective Code Preferences in Experts and Large Language Models Learning Code Preference via Synthetic Evolution

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:24:01.800994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.