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Paper Citation Record · LEDGER

Compositional preference models for aligning LMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 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 2026-08-07T04:08:23.227133Z

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 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.

source=arxiv_source observed=2026-08-07T04:08:23.227133Z digest=sha256:76e1207711d499cfb8bf1eecce766dd16c1c25b4947b04e12a83c0bc8f8b4f6d

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

source=arxiv_source observed=2026-06-29T18:35:01.478866Z digest=sha256:6a68dc3a1c6f77d718c45371187279df64f910bcc51bb652cf659020a98ef048

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

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:5da2c1e1fd07b9f677fd242651113799d50293ff89b5b5e06f51ff039c861160

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

source=arxiv_source observed=2026-06-27T10:32:57.295159Z digest=sha256:b6eb603660da2b2ce634e4159b95bf29e5ec4c705f66a9cee61d31c0fe8470ed