Paper Citation Record · LEDGER

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2510.03259.

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

pith.paper-citation-record.v1
2510.03259 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:50:30.746297Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T22:46:24.057572Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T22:47:37.001412Z

Reference resolution

37 of 37 outbound references displayed

verified exact3
verified fuzzy3
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72f27256-062e-4977-8a49-dd816e3169d6 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.486633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb7d3139-9c8e-4afe-84cf-1f0f727edebb · outbound

This paper cites This finding suggests that the predicted notions can serve as useful cues for problem solving and may enable further performance gains when leveraged during inference.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models This finding suggests that the predicted notions can serve as useful cues for problem solving and may enable further performance gains when leveraged during inference

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:31.922281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81a03056-42e1-4202-8f9d-ea5cec19d62b · outbound

This paper cites Rational Metareasoning for Large Language Models.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Rational Metareasoning for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.511531Z

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Observation 0e14117a-1d47-43aa-be14-4f068fd2bcac · outbound

This paper cites Enhancing Math Reasoning in Small-sized LLMs via Preview Difficulty-Aware Intervention.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Enhancing Math Reasoning in Small-sized LLMs via Preview Difficulty-Aware Intervention

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.520995Z

Source-reported events for the cited work

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Observation a8aa4e49-60f9-4cfd-8f75-9e34b490732c · outbound

This paper cites Meta-R1: Empowering Large Reasoning Models with Metacognition.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Meta-R1: Empowering Large Reasoning Models with Metacognition

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:50:31.819104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 060c60f2-3ee7-43e3-9add-38dba8d67927 · outbound

This paper cites Thinkless: LLM Learns When to Think.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Thinkless: LLM Learns When to Think

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.535082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0210e4cd-170e-450d-85b7-e82d1d1bb23a · outbound

This paper cites From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T15:50:31.156183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 655d1a57-9d47-49ec-a10d-288d54480e52 · outbound

This paper cites Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.556542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8537c46-3728-48f9-872d-01f3385e696c · outbound

This paper cites URLhttps://arxiv.org/abs/2505.18822.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models URLhttps://arxiv.org/abs/2505.18822

Reference 13

Resolution: verified exact; doi, observed 2026-08-15T15:50:31.126155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation efd4feab-0cce-4f40-be27-6652d92b3363 · outbound

This paper cites How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.575386Z

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Observation c9d9a4f5-ae23-40c0-819c-d341314aaf43 · outbound

This paper cites Length-Controlled Margin-Based Preference Optimization without Reference Model.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Length-Controlled Margin-Based Preference Optimization without Reference Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.584550Z

Source-reported events for the cited work

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Observation c465e968-7558-4cef-b3ec-86586aae680a · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Understanding R1-Zero-Like Training: A Critical Perspective

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.590430Z

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Observation 28959a3d-2057-4412-8dfc-c17f8898ea18 · outbound

This paper cites Ziyang Ma, Qingyue Yuan, Zhenglin Wang, and Deyu Zhou.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Ziyang Ma, Qingyue Yuan, Zhenglin Wang, and Deyu Zhou

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.597921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c53317d-d5a3-4a31-bbe8-5a5a6f2aef8e · outbound

This paper cites MeLA: A Metacognitive LLM-Driven Architecture for Automatic Heuristic Design.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models MeLA: A Metacognitive LLM-Driven Architecture for Automatic Heuristic Design

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.626738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 272acc1f-67a2-4e1c-a94c-5280c1bd8e7d · outbound

This paper cites Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.633542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da16f71c-ba51-44e4-8f6f-d5f87a377629 · outbound

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

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.639257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dd391c5-f046-48c3-88f3-c235b574892c · outbound

This paper cites Efficient Reinforcement Finetuning via Adaptive Curriculum Learning.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Efficient Reinforcement Finetuning via Adaptive Curriculum Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.645256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b158b652-4c66-4a5c-8741-98c348e1f969 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.662398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc43aa8e-3d76-4735-940d-3b19e1ec9db3 · outbound

This paper cites Proofwriter: Generating implications, proofs, and abductive statements over natural language.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Proofwriter: Generating implications, proofs, and abductive statements over natural language

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.673152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48a62f97-aebc-442b-8e85-748f3395d87a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models LLaMA: Open and Efficient Foundation Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.681257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f0fab65-4878-4005-8546-e25e6efbac5f · outbound

This paper cites Learning when to think: Shaping adaptive reasoning in r1-style models via multi-stage rl.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Learning when to think: Shaping adaptive reasoning in r1-style models via multi-stage rl

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.688457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b88547-fa44-4002-a585-e99974574f45 · outbound

This paper cites ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.694124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8ce3474-982d-46c6-8bf3-d0ee46a5aba6 · outbound

This paper cites Adaptive Deep Reasoning: Triggering Deep Thinking When Needed.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Adaptive Deep Reasoning: Triggering Deep Thinking When Needed

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.701259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84067768-e4ab-44df-a498-07d6b4bca3d6 · outbound

This paper cites Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.707660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e0888dc-3986-4834-ad6e-5912eb61255a · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.713753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f66f512b-2ada-40d0-9e3f-5a845488f422 · outbound

This paper cites AdaptThink: Reasoning Models Can Learn When to Think.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models AdaptThink: Reasoning Models Can Learn When to Think

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.720466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de7451e4-54b1-45b0-8633-0a96f4754abd · outbound

This paper cites URLhttps://arxiv.org/abs/2504.09696.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models URLhttps://arxiv.org/abs/2504.09696

Reference 34

Resolution: verified exact; doi, observed 2026-08-15T15:50:30.911216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c03559e-9e82-4393-ade9-41941fd42281 · outbound

This paper cites Analytical reasoning of text.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Analytical reasoning of text

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:31.941002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e85181f-eb2e-4b2f-99c2-46df01202708 · outbound

This paper cites Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.667850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82d7913f-c030-4e38-91c5-54a6e7205dd5 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.503057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29094c5c-a1a3-405c-9506-78fcd2869bf9 · outbound

This paper cites Logic-lm: Empowering large lan- guage models with symbolic solvers for faithful logical reasoning.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Logic-lm: Empowering large lan- guage models with symbolic solvers for faithful logical reasoning

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:31.983802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3b4834e-9805-4b7f-bf7c-74ee1bd3fecf · outbound

This paper cites Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language Models.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.494962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d795cdaf-31c7-4e31-b172-fad1c89479b0 · outbound

This paper cites Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.476760Z

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Observation 2408906d-ff44-4368-87b2-87ed76bb0f58 · outbound

This paper cites doi: 10.18653/v1/2022.findings-naacl.177.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models doi: 10.18653/v1/2022.findings-naacl.177

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.741094Z

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Observation b1fb6ac6-5973-4bf2-a6e3-a0054b9b547e · outbound

This paper cites Concise: Confidence-guided compression in step-by-step efficient reasoning.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Concise: Confidence-guided compression in step-by-step efficient reasoning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.620237Z

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Unavailable: canonical work link unavailable.

Observation 0a5d3ff6-f692-44ed-8222-d88fffd8cbdd · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.542674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00beebe-3387-48e6-a33a-6a1fae0f7fa0 · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:30.465339Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 32c50b34-3160-4960-80d1-44575255273c · inbound

When Does In-Context Search Help? A Sampling-Complexity Theory of Reflection-Driven Reasoning cites this paper.

When Does In-Context Search Help? A Sampling-Complexity Theory of Reflection-Driven Reasoning Verifying Meta-Awareness via Predictive Rewards in Reasoning Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T22:47:37.015452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.