Paper Citation Record · LEDGER

Beyond Scalar Reward Model: Learning Generative Judge from Preference Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.03742.

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

pith.paper-citation-record.v1
2410.03742 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:54.230084Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T12:56:24.594609Z

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 3545d381-49d0-4bca-a7a7-5e5819485c6f · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Beyond Scalar Reward Model: Learning Generative Judge from Preference Data

Reference 280

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:08:35.846903Z

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 fe590e6b-b6e5-4f90-a71c-5e6eb9fd070e · inbound

Generative RLHF-V: Learning Principles from Multi-modal Human Preference cites this paper.

Generative RLHF-V: Learning Principles from Multi-modal Human Preference Beyond Scalar Reward Model: Learning Generative Judge from Preference Data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:54.230084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0346ca06-8dc5-42b6-8bac-5b01371268fd · inbound

GFRIEND: Generative Few-shot Reward Inference through EfficieNt DPO cites this paper.

GFRIEND: Generative Few-shot Reward Inference through EfficieNt DPO Beyond Scalar Reward Model: Learning Generative Judge from Preference Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:59.531765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18917754-a9e0-4cd7-9bb8-634b69e74c0a · inbound

CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards cites this paper.

CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards Beyond Scalar Reward Model: Learning Generative Judge from Preference Data

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T18:12:26.607519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa761de0-13a0-428c-a2a0-faf5ddd51be0 · inbound

On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization cites this paper.

On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization Beyond Scalar Reward Model: Learning Generative Judge from Preference Data

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:56:24.597062Z

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 06b06874-1450-4894-9e15-1e324d0cc986 · inbound

EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation cites this paper.

EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation Beyond Scalar Reward Model: Learning Generative Judge from Preference Data

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:02:25.159528Z

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.