Pith. sign in

Paper Citation Record · LEDGER

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.20862.

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

pith.paper-citation-record.v1
2607.20862 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:12:23.110176Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df391c9b-cbf7-4036-8717-7f1d27435d4e · outbound

This paper cites https://arxiv.org/abs/2509.21164v1.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation https://arxiv.org/abs/2509.21164v1

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.222607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.222607Z digest=sha256:42eadb69f1f9d6ba5be84301159b48c426c545ff0f60bc51a1cddf3be24c63f0

Observation 26babd2f-4efb-4165-8438-73a1337fafba · outbound

This paper cites Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Quentin Carbonneaux, Taco Cohen, and Gabriel Synnaeve.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Quentin Carbonneaux, Taco Cohen, and Gabriel Synnaeve

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.301722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.301722Z digest=sha256:6e693db537b3ab4448ae7e8417dbbc025279251ae464cec8ae6ecca1067a9541

Observation 873b42e5-cbfb-4569-9dae-a9a5bf5f35a1 · outbound

This paper cites RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.385849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.385849Z digest=sha256:02686c80b86e8c0781a3d1296de2a9ec536172e097cd6084ae2f8a8ffc56c051

Observation 55e5c279-2c64-4e17-ac4c-7ced6addac90 · outbound

This paper cites InPro- ceedings of the 2024 Conference on Empiri- cal Methods in Natural Language Processing, pages 4334–4353, Miami, Florida, USA.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation InPro- ceedings of the 2024 Conference on Empiri- cal Methods in Natural Language Processing, pages 4334–4353, Miami, Florida, USA

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.465440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.465440Z digest=sha256:81bfd663c3ed7a40c777a1ca29e8ee688f18f8adf17df3b8f210a00bd40eb2b4

Observation de9681b8-f232-4c83-9a0c-f538b7a4d6e1 · outbound

This paper cites Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.559587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.559587Z digest=sha256:75a243fd04a5a0ea4b86bbd9a2d8a4970c6caddcdc059ef2b41806620c556973

Observation 607f6be3-24da-466f-a1df-51fbdc437eac · outbound

This paper cites Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.636028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.636028Z digest=sha256:f3775e55b67006b7fb81059bddb683d2acd06a54502eca06a565c62bfca65b3c

Observation 2857f7a9-8d5e-4549-ae9b-57342d6791f1 · outbound

This paper cites RewardBench 2: Advancing Reward Model Evaluation.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation RewardBench 2: Advancing Reward Model Evaluation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.726532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.726532Z digest=sha256:0f4f4857d27348d210d061bdc35974d66b20f77b1cdbe62ed18ce7624428172b

Observation c1a278c1-b20e-47de-ac97-3c5474b3c4d0 · outbound

This paper cites InFindings of the Association for Computational Linguistics: EMNLP 2024, pages 1043–1067, Miami, Florida, USA.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation InFindings of the Association for Computational Linguistics: EMNLP 2024, pages 1043–1067, Miami, Florida, USA

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.795020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.795020Z digest=sha256:1888a71163259aa57d85de1dd77cf2d9df73180bff02b9871900b4e787abc94f

Observation 90e65005-93a3-4fd1-af44-4bc6b3a2782b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.874740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.874740Z digest=sha256:9c9c67c25649565d250be8bc042ca1620a51330afe7e35733a299437361995f8

Observation 33f67ffc-5efc-4ad0-b8d6-226d4deed4f3 · outbound

This paper cites Depending on the experiment, we use their reward scores, hidden states, or both.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation Depending on the experiment, we use their reward scores, hidden states, or both

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:23.110176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:23.110176Z digest=sha256:debb07d17ea5dffece8137c3f2d2016e2ee7daced5e0070af8a23efd6da4d4a1

Observation ecea5ad7-4b16-48b1-9baa-cd0ccf4f2c87 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.182908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.182908Z digest=sha256:abf74588bf007c558673442687d7e57884c22b870b0c21a2b4f2934236b6a14e

Observation 470eaa50-06dd-4076-95be-4e056e958fe4 · outbound

This paper cites https://arxiv.org/abs/2505.13388v3.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation https://arxiv.org/abs/2505.13388v3

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.126497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.126497Z digest=sha256:c235e436aaec1185d13e75cd97e233cab04e2dcd5b82fe6fdc57eca50d1a0587

Observation 9200c067-6a2e-4097-8693-acbec9c66f3f · outbound

This paper cites Haoxiang Wang, Wei Xiong, Tengyang Xie, Han Zhao, and Tong Zhang.

CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation Haoxiang Wang, Wei Xiong, Tengyang Xie, Han Zhao, and Tong Zhang

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-01T09:12:22.984878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:12:22.984878Z digest=sha256:c1c2b111fd56146d71aabdc1b7ebb686fa7b369bce8190821dc552c48ea7bfdb

Pith citing papers

No inbound Pith citation observations are available.