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Paper Citation Record · LEDGER

A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2504.12328.

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

pith.paper-citation-record.v1
2504.12328 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:52:52.510706Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T05:46:41.076602Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 91966d66-931c-4012-a1c1-ca91d6e7fac4 · inbound

Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems cites this paper.

Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 45

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unresolved
no resolver link, observed 2026-08-16T04:52:52.510706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:52:52.510706Z digest=sha256:bb2134139323ab3796715cbef917c84aa4bd284da18a3f26e27f41645613db09

Observation 672184c8-b1c7-47cc-8dea-21d96873fd0f · inbound

A Survey on Progress in LLM Alignment from the Perspective of Reward Design cites this paper.

A Survey on Progress in LLM Alignment from the Perspective of Reward Design A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 30

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no resolver link, observed 2026-08-16T00:52:06.562027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:52:06.562027Z digest=sha256:ac24df2bb0016b75b92959a76e6abb5992d1422ea608f672dd84702b96e94e5d

Observation c0837982-a349-4c17-90d9-1f587b688d9a · inbound

Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning cites this paper.

Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 22

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no resolver link, observed 2026-08-15T22:24:50.718369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:24:50.718369Z digest=sha256:169ea9c03497f80c7a5f12ded2e2f97194812da70ff11f3b10b04a5a2f01d32a

Observation fa577b07-d0a0-418e-97dd-183650ecf221 · inbound

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment cites this paper.

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 3

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no resolver link, observed 2026-08-15T21:19:41.271849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:19:41.271849Z digest=sha256:bec3359d159fa2d787a0adb9fd4cd9033f2d27ff1b42062e760b397dd593ba65

Observation e82255d5-fafd-40d0-857b-3536af06b0d7 · inbound

Reward Reasoning Model cites this paper.

Reward Reasoning Model A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 82

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no resolver link, observed 2026-08-07T15:34:53.601769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:34:53.601769Z digest=sha256:340a6b8a86e7354771eeaab05e3adc36cfb5ab24b08c6275257508c7d3b87f46

Observation 7647961d-c5e5-4c55-a8a5-d33959af433d · inbound

Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence cites this paper.

Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 49

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no resolver link, observed 2026-08-07T14:38:09.508714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:09.508714Z digest=sha256:99dd93050154fae4ecc8a82bd53e090b9390d69af17c6c1140c555a26f62af39

Observation 31047f64-36d7-4c8e-8248-7f2d24547fe6 · inbound

RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning cites this paper.

RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 44

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no resolver link, observed 2026-08-07T13:14:33.906214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:14:33.906214Z digest=sha256:40898b98dc95159c4f2c76b3f2d5ef1af94c5deacf96a796e98ee542d1d727e8

Observation 15327041-fc96-46a8-b3bf-afecdf26e69a · inbound

Uncertainty-aware Reward Design Process cites this paper.

Uncertainty-aware Reward Design Process A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 19

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no resolver link, observed 2026-08-06T20:39:15.150337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:15.150337Z digest=sha256:4c94eda6d05f6f3e103eb37e0c8c6df2236e5ec7c20905b179bd03487345ba8b

Observation 44f79316-d684-4b68-affc-9868227b9b44 · inbound

The Other Mind: How Language Models Exhibit Human Temporal Cognition cites this paper.

The Other Mind: How Language Models Exhibit Human Temporal Cognition A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 70

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no resolver link, observed 2026-08-06T15:30:38.748692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:30:38.748692Z digest=sha256:e691c05ee5b9c9f649d2b7fbc23d327f81897959ffdc4ce3ff3379beb657a7f3

Observation dec99e8a-6546-4a6d-8d0f-a14599ec5708 · inbound

Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning cites this paper.

Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 9

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no resolver link, observed 2026-08-15T17:49:21.454069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:49:21.454069Z digest=sha256:02354461ed1b0fb50cf83d5837f89c560ae1d61b9927dcb1582c786ddc7b9236

Observation db472b39-e42e-4a2b-96a9-bfb7383bb47b · inbound

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning cites this paper.

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 53

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no resolver link, observed 2026-08-06T00:59:54.749256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:59:54.749256Z digest=sha256:ee559733183f864d138a7a82d2dc6e3310479c42950dfd65f4756a5e01c0f790

Observation 4f5f303e-8ec3-4e6a-8cec-2d4640f9a9f7 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:48.183065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T19:19:36.427337Z digest=sha256:842aedf36d6ee5ea40d24ed1d8bbfdd0ae65ec8a4133fc7f2c460a892642108e

Observation 594a40de-242c-45e9-805c-50b82dea89d3 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 253

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no resolver link, observed 2026-08-04T16:07:48.384610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:48.384610Z digest=sha256:a8da2c8cbc763c846225e93f50d5855ead34147fb61c945b5cb7b0010e8ebd0d

Observation 91b27b97-6836-4701-b574-f0eba351c387 · inbound

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation cites this paper.

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 125

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no resolver link, observed 2026-08-03T03:04:45.216822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:04:45.216822Z digest=sha256:e9d7be5fa4351711fe68e57a740f0c3b9190a36ea81aa001a43bf9ffbb5caf6a

Observation c9f226c9-a0cd-4f28-9a2f-94e4b5493b28 · inbound

Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization cites this paper.

Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 6

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no resolver link, observed 2026-08-04T05:56:17.734874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:56:17.734874Z digest=sha256:54833d018e8c09400ddf76f60eef62ae7d3eb4ee49a2b67ac70f5d6fec0ae81c

Observation b80ce6e4-1d60-4892-af25-9ed48cca04e3 · inbound

StoryAlign: Evaluating and Training Reward Models for Story Generation cites this paper.

StoryAlign: Evaluating and Training Reward Models for Story Generation A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 33

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verified exact
arxiv_id, observed 2026-05-11T17:31:07.645525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T17:29:13.549559Z digest=sha256:3b4ee00d172bd7a23f066a4448573f608b723c46115f5d198c2cd26e8cdee529

Observation 35a22826-9bed-4c54-ad0b-4b26450c99e0 · inbound

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification cites this paper.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 54

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verified exact
arxiv_id, observed 2026-05-12T06:01:24.230952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T04:41:44.833354Z digest=sha256:c3f8b5b8dfa1a79665e0b4ccfd4ec768bc14b2f82d610195460299dd4f0a4315

Observation 39a11b7d-857e-4c3a-8c55-237c94b4d1fd · inbound

GEAR: Granularity-Adaptive Advantage Reweighting for LLM Agents via Self-Distillation cites this paper.

GEAR: Granularity-Adaptive Advantage Reweighting for LLM Agents via Self-Distillation A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 23

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verified exact
arxiv_id, observed 2026-05-13T06:47:26.720310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T06:44:30.069444Z digest=sha256:e48bd6592e52cafc4359b9d8a913475d1f28358d22c04300fa3c42b74da67332

Observation f89c9da0-0fbe-4a96-a8a7-c30ff9d84c95 · inbound

GEAR: Granularity-Adaptive Advantage Reweighting for LLM Agents via Self-Distillation cites this paper.

GEAR: Granularity-Adaptive Advantage Reweighting for LLM Agents via Self-Distillation A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 23

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verified exact
arxiv_id, observed 2026-05-15T05:59:48.637981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T05:59:23.949124Z digest=sha256:f14cc969707cac4fcbf00fcf8d92e7bb1d6facdd0fc5a5d3dcc7118f0800eccb

Observation 900a3756-db76-42c6-9c21-a578f0cea061 · inbound

Scalable Token-Level Hallucination Detection in Large Language Models cites this paper.

Scalable Token-Level Hallucination Detection in Large Language Models A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 53

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verified exact
arxiv_id, observed 2026-05-13T05:52:22.393010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T05:49:23.534294Z digest=sha256:6af019b66ea690406af6f277ba473426854944401bc469068aa08604287046e4

Observation 61303caa-455b-4c9e-92bd-11e43e669e5c · inbound

SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice cites this paper.

SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 50

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verified exact
arxiv_id, observed 2026-07-02T05:46:41.078116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T08:04:17.224987Z digest=sha256:c0c6a8f8139629cb0cd46eb2049b9761959824ae1e136040f0bda7c8702c730d

Observation 0b1b94c1-dcdb-4cd0-8d61-8945a6a2d2d5 · inbound

Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Stateful Personal Agents cites this paper.

Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Stateful Personal Agents A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 20

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no resolver link, observed 2026-07-14T11:04:44.592375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T11:04:44.592375Z digest=sha256:800fb2f1fa861d358bc6a7ca718a740e50dffbefdfa9e33d823758504b8b0b44

Observation 22495e1b-b2ba-4c0c-aeae-a075774bc0a4 · inbound

PAST: Prompt-Adaptive Sampling Termination for Efficient Diffusion Model cites this paper.

PAST: Prompt-Adaptive Sampling Termination for Efficient Diffusion Model A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 66

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no resolver link, observed 2026-08-15T14:34:44.744978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:34:44.744978Z digest=sha256:8e3731db7ae93465e4de9d2936154a1b5d1bd0508b1ad346318f3caead31192e