Paper Citation Record · LEDGER

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.13611.

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

pith.paper-citation-record.v1
2411.13611 v3

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:06:57.228768Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:14:47.221955Z

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 92d7c7ee-9db1-488a-b51e-8352c5292a96 · inbound

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

InfoSynth: Information-Guided Benchmark Synthesis for LLMs DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T13:06:57.228768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73a64bd6-9a83-4e40-a8bf-ed647dab1bc2 · inbound

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? cites this paper.

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:51.759560Z

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.

Observation 281ddae5-2651-43f0-b990-a28acb39d3ff · inbound

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization cites this paper.

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:59:19.280144Z

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.

Observation 0e7451d3-e1a5-4599-967e-0560a7fcbf0c · inbound

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization cites this paper.

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:14:47.226389Z

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.