Paper Citation Record · LEDGER

Compositional preference models for aligning LMs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.13011.

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

pith.paper-citation-record.v1
2310.13011 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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:27:51.034371Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:07:47.817100Z

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 9b12b849-774d-42cf-9696-0417cfc1e1a3 · inbound

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning cites this paper.

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Compositional preference models for aligning LMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T14:27:51.034371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1134de0f-dba1-486f-b487-568bd8007fec · inbound

Configurable Preference Tuning with Rubric-Guided Synthetic Data cites this paper.

Configurable Preference Tuning with Rubric-Guided Synthetic Data Compositional preference models for aligning LMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:23.227133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df1b4e7f-0c99-4c21-893d-3e8b4da6711d · inbound

PersLitEval: Fine-grained Benchmark and Evaluation of LLMs on Persian Literature Questions cites this paper.

PersLitEval: Fine-grained Benchmark and Evaluation of LLMs on Persian Literature Questions Compositional preference models for aligning LMs

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:43:50.949022Z

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 64a0d39c-ea5f-4702-95e7-76ade7ff1cb3 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Compositional preference models for aligning LMs

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:57:41.713437Z

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 05681116-1857-45c2-ad97-273372dc31a9 · inbound

Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal cites this paper.

Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal Compositional preference models for aligning LMs

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:07:47.818543Z

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.