Paper Citation Record · LEDGER

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.29185.

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

pith.paper-citation-record.v1
2607.29185 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:09:09.970266Z

measured 47 of 47 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

47 of 47 outbound references displayed

verified exact2
verified fuzzy0
unresolved44
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0dc2264c-ba80-4fbc-a6a6-4e29844905e9 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:03.872221Z

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Observation 41d2d2aa-425d-4996-86ab-e048a4a8edbe · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Fine-Tuning Language Models from Human Preferences

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:03.997789Z

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Observation 431449d6-8799-4519-83f6-9f9298c0e0a0 · outbound

This paper cites Fine-Grained Human Feedback Gives Better Rewards for Language Model Training , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Fine-Grained Human Feedback Gives Better Rewards for Language Model Training , url =

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:04.149160Z

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Observation 98425e2c-411b-4603-ad37-b60a5b6deac3 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:04.218493Z

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Observation 253f7795-9355-42b0-a36b-e9ecf7a3f2e7 · outbound

This paper cites Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models , url =

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:04.366566Z

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Observation 999280f8-9d1a-41e4-b281-f26268dbd9c0 · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End 2026 , url=

Reference 6

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Observation 5c0d7c3c-cbfa-4876-8a0a-40a36dd1f089 · outbound

This paper cites J1: Incentivizing Thinking in.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End J1: Incentivizing Thinking in

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:04.597246Z

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Observation fc97e75a-547a-4643-a6e4-d3e1d554138b · outbound

This paper cites Learning Structured Output Representation using Deep Conditional Generative Models , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Learning Structured Output Representation using Deep Conditional Generative Models , url =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:04.676252Z

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Observation bbfaef32-3e3b-49d4-95dc-0a9b9cb743b8 · outbound

This paper cites Training language models to follow instructions with human feedback , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Training language models to follow instructions with human feedback , url =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:04.762707Z

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Observation bb2aeee2-e7ee-4f98-b88c-ac1539f2f3e4 · outbound

This paper cites InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling , url =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:04.944216Z

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Observation 2c49e1ae-d586-40e7-958e-1338a92d86f5 · outbound

This paper cites Improving Reward Models with Synthetic Critiques.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Improving Reward Models with Synthetic Critiques

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:05.175902Z

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Observation 80d06d8e-4780-42aa-895d-3a4d513f0c70 · outbound

This paper cites Self-Generated Critiques Boost Reward Modeling for Language Models.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Self-Generated Critiques Boost Reward Modeling for Language Models

Reference 12

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Observation 485eac96-9550-4488-868a-acade5e44020 · outbound

This paper cites Critique-out-Loud Reward Models.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Critique-out-Loud Reward Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:05.397076Z

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Observation 98922cab-3159-4e19-8590-cf66749076a7 · outbound

This paper cites Generative Judge for Evaluating Alignment , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Generative Judge for Evaluating Alignment , url =

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:05.493941Z

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Observation 4f9561c5-399d-492f-be3c-31982f207d63 · outbound

This paper cites Deep Reinforcement Learning from Human Preferences , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Deep Reinforcement Learning from Human Preferences , url =

Reference 15

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Observation c9c45d56-12f8-4fa6-9f17-2e48de8854ed · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End The Twelfth International Conference on Learning Representations , year=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:05.784919Z

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Observation c87ef72f-a19a-4448-b63a-45012dbb70cc · outbound

This paper cites Terry , journal =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Terry , journal =

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:05.923413Z

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Observation 99d8a67f-44b0-43b2-941a-ae5ef0deb5b8 · outbound

This paper cites 1959 , publisher=.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End 1959 , publisher=

Reference 18

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Observation b7c64419-c3b0-4a5b-a4b3-48c316a6f2af · outbound

This paper cites Rationalizing Neural Predictions.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Rationalizing Neural Predictions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:06.107054Z

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Observation 73f6cb0e-d506-4901-a314-8e71d4b2359c · outbound

This paper cites STaR: Bootstrapping Reasoning With Reasoning , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End STaR: Bootstrapping Reasoning With Reasoning , url =

Reference 20

Resolution: verified exact; doi, observed 2026-08-03T12:13:46.150492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be55845e-65b9-49d6-be88-4b0e8f15c7b4 · outbound

This paper cites Saurous, Rif , booktitle =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Saurous, Rif , booktitle =

Reference 21

Resolution: verified exact; doi, observed 2026-08-03T12:13:45.934005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 58a2f00e-2cec-4848-a7b3-052e9fb2700e · outbound

This paper cites Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data , url =

Reference 22

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Observation 8c4cbae2-b25b-4815-ac02-52a2e1872a01 · outbound

This paper cites 2026 , eprint=.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End 2026 , eprint=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:06.747386Z

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Observation 886a19f1-4caa-44b8-b525-559dbd02ae8e · outbound

This paper cites Policy Gradient Methods for Reinforcement Learning with Function Approximation , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Policy Gradient Methods for Reinforcement Learning with Function Approximation , url =

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:06.931488Z

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Observation a255d2be-95fb-4824-8bac-d838c86dd918 · outbound

This paper cites 2024 , editor =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End 2024 , editor =

Reference 25

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Observation 7d56f8fe-1f77-469b-b8b3-0e315a405ce6 · outbound

This paper cites AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset

Reference 26

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Observation 7c3a15a3-b696-4f7f-bf85-4372992b453a · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:07.449364Z

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Observation 174e1aaa-f415-415a-bc21-aaa61d76f3f3 · outbound

This paper cites WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs , url =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs , url =

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:07.583260Z

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Observation b64833c2-6236-48f6-aca4-01d4997b3798 · outbound

This paper cites O ffset B ias: Leveraging Debiased Data for Tuning Evaluators.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End O ffset B ias: Leveraging Debiased Data for Tuning Evaluators

Reference 29

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Observation 293f4311-98c8-4572-b693-47dc9ffd176a · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Forty-second International Conference on Machine Learning , year=

Reference 30

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Observation 90969518-4203-4f4d-984b-a76806aaa611 · outbound

This paper cites and Lee, Jason.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End and Lee, Jason

Reference 31

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Observation 4302bb35-3fe1-4775-a68d-d3db24b1de73 · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End 2025 , eprint=

Reference 32

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Observation c18b9ce1-29b8-457f-af93-eddc64eb3203 · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End and Hajishirzi, Hannaneh

Reference 33

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Observation b667365d-1ffb-4911-b7b3-517dfc6962aa · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End The Fourteenth International Conference on Learning Representations , year=

Reference 34

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End 2025 , url=

Reference 35

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Observation 79867b3e-eb47-433e-b966-e7bbc593a997 · outbound

This paper cites Gonzalez and Ion Stoica , booktitle=.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Gonzalez and Ion Stoica , booktitle=

Reference 36

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Observation 8b8fa87e-aa81-4eac-a9fe-eaf6ac4e9f53 · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End JudgeBench: A Benchmark for Evaluating

Reference 37

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Observation 218e1456-c11e-4cdd-8322-a84a0339dcef · outbound

This paper cites Proceedings of the Twentieth European Conference on Computer Systems , pages=.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Proceedings of the Twentieth European Conference on Computer Systems , pages=

Reference 38

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Observation fc2aeba1-47cd-4469-acff-8e1c2b21b2e4 · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=

Reference 39

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Observation 0076fc1e-1ad7-4427-aa0b-1a04f24cd55c · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Proximal Policy Optimization Algorithms

Reference 40

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Observation 87186d91-407e-45f9-9956-6060da303d7c · outbound

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

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 41

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Observation fa4bf8ca-2535-4ee2-8908-0f9ab5e3a769 · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End Second Conference on Language Modeling , year=

Reference 42

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Observation 1c6d41ef-8c97-46da-925a-a457b1746d47 · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End 2024 , eprint=

Reference 43

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Observation 78c659ae-7380-4c7b-bb48-9f6a876a6875 · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End First Conference on Language Modeling , year=

Reference 44

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Observation 8ccac31c-3c99-483c-a628-34cdebbdedb8 · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End 2026 , eprint=

Reference 45

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Observation cef30655-655a-4144-9f6b-2b1535ee6cc5 · outbound

This paper cites and Sreedhar, Makesh Narsimhan and Kuchaiev, Oleksii , booktitle =.

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End and Sreedhar, Makesh Narsimhan and Kuchaiev, Oleksii , booktitle =

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T12:09:09.790291Z

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Observation f2de6b5f-bd72-4163-810d-d55b1e16c122 · outbound

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Learning Latent Reasoning Traces for Scalar Reward Models End-to-End 2025 , eprint=

Reference 47

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Pith citing papers

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