Paper Citation Record · LEDGER

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.02229.

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

pith.paper-citation-record.v1
2410.02229 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:17:38.723583Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 7d674510-6675-4616-ad7d-3b825dca887d · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.427933Z

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 19459666-c808-4256-ad47-b371b450ae70 · inbound

Libra: Large Chinese-based Safeguard for AI Content cites this paper.

Libra: Large Chinese-based Safeguard for AI Content CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T12:17:38.723583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d373ad7f-2fe5-41ac-8313-2af7e7237616 · inbound

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It cites this paper.

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-27T13:10:55.901146Z

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 39fbc4b6-69c3-4fe4-93d5-c5330f8984fa · inbound

From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning cites this paper.

From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-27T01:00:19.862145Z

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 c910617d-f8c4-4959-8220-3b79d42a598f · inbound

Domain-Aware Scaling Laws Uncover Data Synergy cites this paper.

Domain-Aware Scaling Laws Uncover Data Synergy CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-14T07:24:27.255815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.