Paper Citation Record · LEDGER

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models

As of 16 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2508.12387.

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

pith.paper-citation-record.v1
2508.12387 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:30:10.366860Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

46 of 46 outbound references displayed

verified exact1
verified fuzzy0
unresolved45
parse uncertain0
malformed identifier0
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External citation measurements

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Outbound references

Observation 8432d6b2-4b6a-497c-bace-101932d726fe · outbound

This paper cites MCC-KD: Multi-CoT Consistent Knowledge Distillation.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models MCC-KD: Multi-CoT Consistent Knowledge Distillation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:09.997455Z

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Observation 8f640e9a-fbab-4c67-9d08-abd81a441dc8 · outbound

This paper cites an unresolved cited work.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.006417Z

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Observation 6fa91cd9-ee7b-4a85-9d1e-ed8569a11dc9 · outbound

This paper cites Universal Self-Consistency for Large Language Model Generation.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Universal Self-Consistency for Large Language Model Generation

Reference 3

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Observation 1e2aee67-d4b1-40b7-a6b9-5f8d6c987496 · outbound

This paper cites an unresolved cited work.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ddc747b-4e1a-4548-b861-f99b7614675f · outbound

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

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 5

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Observation 2adfa126-7575-4906-b9f8-4f93a3ee4105 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.032031Z

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Observation d60ea19f-685a-4960-9fe8-a93fd9afe398 · outbound

This paper cites Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.039486Z

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Observation f69e4fd5-e182-403a-a396-193db6ba8449 · outbound

This paper cites Investigating Symbolic Capabilities of Large Language Models.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Investigating Symbolic Capabilities of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.046467Z

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Observation 5bd4380b-62bf-44e2-b115-ea97a63a180b · outbound

This paper cites an unresolved cited work.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Unresolved cited work

Reference 9

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b6cf652-22fa-4e10-be71-e57b220a7bb0 · outbound

This paper cites an unresolved cited work.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Unresolved cited work

Reference 10

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Observation e440bc80-48a1-438c-8670-1d35ddf5c36a · outbound

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

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.064832Z

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Observation c4f230cd-5547-4796-b405-5e7f9fc5bcbb · outbound

This paper cites an unresolved cited work.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:30:11.466446Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d8c221f-b28f-48ed-8b47-f016461849c1 · outbound

This paper cites On the Impact of Knowledge Distillation for Model Interpretability.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models On the Impact of Knowledge Distillation for Model Interpretability

Reference 13

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Observation a4860222-7179-4dd9-b878-8de876ce840d · outbound

This paper cites Measuring Massive Multitask Language Understanding.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Measuring Massive Multitask Language Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.081962Z

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Observation eca87bf4-5dff-4c63-9cac-8f6c546b1b10 · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.087366Z

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Observation 5ce6bc4e-4f41-40c6-b904-87278c9c0d06 · outbound

This paper cites Qwen2.5-Coder Technical Report.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Qwen2.5-Coder Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.093473Z

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Observation 37f53f8d-f51c-490d-bc38-47243f20455b · outbound

This paper cites Simple and Scalable Strategies to Continually Pre-train Large Language Models.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Simple and Scalable Strategies to Continually Pre-train Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.099822Z

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Observation efd70028-0b3f-47f5-9d93-3e5bfc7e3beb · outbound

This paper cites OpenAI o1 System Card.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models OpenAI o1 System Card

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.108597Z

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Observation ff61485d-33eb-4d24-8e62-4473686cfccb · outbound

This paper cites Scaling Laws for Neural Language Models.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Scaling Laws for Neural Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.114480Z

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Observation a7236b47-a1d3-460d-8c57-eabcea247270 · outbound

This paper cites The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.119254Z

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Observation ce40e913-bef6-46b7-8b88-93710474b509 · outbound

This paper cites GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.125206Z

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Observation 72803b75-f54f-42e2-ae6b-679d7e66dfd5 · outbound

This paper cites Explanations from Large Language Models Make Small Reasoners Better.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Explanations from Large Language Models Make Small Reasoners Better

Reference 22

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Observation d532f56f-1d36-4e14-a307-9d752f503eed · outbound

This paper cites Model Merging in Pre-training of Large Language Models.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Model Merging in Pre-training of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.163726Z

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Observation 9cdbfe87-a25c-4528-81e5-64f0d3799ae5 · outbound

This paper cites $\textit{SKIntern}$: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models $\textit{SKIntern}$: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models

Reference 24

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Observation f158f0e1-900f-44fb-82f0-f9a9af57a7da · outbound

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ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Unresolved cited work

Reference 25

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Observation dce8a3a3-818d-47c0-8276-c3770c2480a0 · outbound

This paper cites Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.216030Z

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Observation 2a29cc3b-2bae-4c45-b852-7083dd8091f0 · outbound

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ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Unresolved cited work

Reference 27

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Observation 80340091-be7f-4bd1-abaa-4ee8b83eb3ae · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.228110Z

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Observation 739bd6f1-b775-42ab-be4d-6ee58d00d90e · outbound

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ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 878e4188-55bf-4e77-a1ef-a89b59af5b45 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 30

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Observation f3776c99-b666-4ffb-acb3-8a308e1797a1 · outbound

This paper cites Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.251490Z

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Observation 143b60e9-9fad-474d-b27d-b569c6246724 · outbound

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

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 32

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Observation 24c9c5b6-544f-4ad0-88ce-436cde86f6a2 · outbound

This paper cites A.; Abid, A.; Fisch, A.; Brown, A.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models A.; Abid, A.; Fisch, A.; Brown, A

Reference 33

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Observation 8e60cab9-2d9e-415a-9590-5a3a96fc5387 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.276856Z

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Observation 39009085-8a5a-43f4-b847-496c1bef439b · outbound

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ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.285920Z

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Observation b2f2421b-99d1-4ea6-aaee-26f7de7dea2e · outbound

This paper cites Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.291665Z

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Observation a68d2bfc-8f75-42e3-8380-e6c34325ab38 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.298033Z

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Observation e32ed6e3-1c5b-42f6-a4a4-6e4ee7b7cdbd · outbound

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ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models V.; Zhou, D.; et al

Reference 38

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Observation 166a238d-5d8c-4071-8861-3695b7761c84 · outbound

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ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Unresolved cited work

Reference 39

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Source-reported events for the cited work

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Observation 0ca5fcd7-cc00-45bf-bc93-c9780812a81b · outbound

This paper cites LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement

Reference 40

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Observation fe457447-e8ca-4eae-a665-dc163fefc2e8 · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.331861Z

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Observation f1f0bda7-5e68-4f86-a0c2-ad79bb686e11 · outbound

This paper cites CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.340136Z

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Observation 5b09c08b-0b53-4b17-8b80-040962e910e2 · outbound

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ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Towards the Law of Capacity Gap in Distilling Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.347134Z

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Observation b782d167-d4c3-44e2-8bf8-c9b727fbe744 · outbound

This paper cites TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.352493Z

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Observation 6dd2f60a-b4a4-4803-8b55-5ed589bf5855 · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.358136Z

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Observation 69358d05-724e-4983-8aca-6792ff0d6fba · outbound

This paper cites Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:10.366860Z

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Pith citing papers

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