Paper Citation Record · LEDGER

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning

As of 16 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 4 inbound Pith citation observations for arXiv:2505.13307.

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

pith.paper-citation-record.v1
2505.13307 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:21.611008Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:12.095738Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T16:37:40.076816Z

Reference resolution

73 of 73 outbound references displayed

verified exact2
verified fuzzy39
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d37d43ba-b469-4044-b84c-587e018e7cdf · outbound

This paper cites Unlocking the capabilities of thought: A reasoning boundary framework to quantify and optimize chain-of-thought,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Unlocking the capabilities of thought: A reasoning boundary framework to quantify and optimize chain-of-thought,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.962828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3beb57ad-5b63-4420-91cf-18763e65841d · outbound

This paper cites A Survey of Large Language Models.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning A Survey of Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.279117Z

Source-reported events for the cited work

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Observation 43ea7665-9586-417a-b044-23d2ae3e625c · outbound

This paper cites A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.285006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 572cd95a-d273-4359-9c49-169e04d4ed31 · outbound

This paper cites Large Language Models Meet NLP: A Survey.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Large Language Models Meet NLP: A Survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.290194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b39d09bf-a24e-419b-8679-c1d1a94a8540 · outbound

This paper cites Language models are few-shot learners,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Language models are few-shot learners,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.295343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3393cbc8-eb56-421b-9e60-fb6813c21c2e · outbound

This paper cites Introducing chatgpt,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Introducing chatgpt,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.937213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4a9a531b-784d-4a5f-88d9-0c3e2f9e8198 · outbound

This paper cites OpenAI o1 System Card.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning OpenAI o1 System Card

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.305272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27533b30-df94-4770-9c66-241c472b48c1 · outbound

This paper cites DeepSeek-V3 Technical Report.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning DeepSeek-V3 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.310023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ccb703-2db4-4da5-97c6-69930778ee7a · outbound

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

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.314459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f012081-2974-46a8-91e2-417aa7156d41 · outbound

This paper cites Show your work: Scratchpads for intermediate computation with language models,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Show your work: Scratchpads for intermediate computation with language models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.920586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c12dfa99-b015-488d-a9e3-2035baea83cf · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Chain-of-thought prompting elicits reasoning in large language models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.324481Z

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Observation e39a8ef8-ed82-4fc1-afc0-de2c9b3838d6 · outbound

This paper cites Navcot: Boosting llm-based vision-and-language navigation via learning disentangled reasoning,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Navcot: Boosting llm-based vision-and-language navigation via learning disentangled reasoning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.894609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8fab8abe-2f8b-4a1d-9b47-2f03e89b789f · outbound

This paper cites Large language models are zero-shot reasoners,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Large language models are zero-shot reasoners,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.333779Z

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Observation df4c7e43-b0a5-4148-ac38-ad7d20cd7788 · outbound

This paper cites Tree-planner: Efficient close-loop task planning with large language models,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Tree-planner: Efficient close-loop task planning with large language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.868144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 19c289f2-7937-47ab-b56c-e9f2c6a054f0 · outbound

This paper cites Cross-lingual prompting: Improving zero-shot chain-of-thought reasoning across languages,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Cross-lingual prompting: Improving zero-shot chain-of-thought reasoning across languages,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.852564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f265aa7-d024-48e1-ab6c-e9d69ea5a45a · outbound

This paper cites Reason and discovery: A new paradigm for open set recognition,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Reason and discovery: A new paradigm for open set recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.837654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 848074f7-68ee-4a81-aa69-f0b51cb6aad7 · outbound

This paper cites M 3CoT: A novel benchmark for multi-domain multi-step multi-modal chain-of- thought,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning M 3CoT: A novel benchmark for multi-domain multi-step multi-modal chain-of- thought,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.822305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 41daf768-0329-4fa8-ab29-387c1503b687 · outbound

This paper cites What makes chain-of- thought prompting effective? a counterfactual study,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning What makes chain-of- thought prompting effective? a counterfactual study,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.806078Z

Source-reported events for the cited work

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Observation dd1b0de2-c79e-4e87-b478-363098831ca6 · outbound

This paper cites Towards understanding chain-of-thought prompting: An empirical study of what matters,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Towards understanding chain-of-thought prompting: An empirical study of what matters,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.790165Z

Source-reported events for the cited work

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Observation 76d40e69-83ea-474b-8b6f-03fe12b024e9 · outbound

This paper cites When do program-of-thought works for reasoning?.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning When do program-of-thought works for reasoning?

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.774469Z

Source-reported events for the cited work

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Observation 68dcd710-cb25-4ded-838e-e059c5f6c358 · outbound

This paper cites Towards revealing the mystery behind chain of thought: a theoretical perspective,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Towards revealing the mystery behind chain of thought: a theoretical perspective,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.758655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a74b22ec-9244-497b-a02a-b9fa87a1f191 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.374235Z

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Observation dc5a3b8f-983c-4c93-9b95-12bcb8530c5a · outbound

This paper cites OlympiadBench: A challenging benchmark for promoting AGI with olympiad-level bilingual multimodal scientific problems,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning OlympiadBench: A challenging benchmark for promoting AGI with olympiad-level bilingual multimodal scientific problems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.742099Z

Source-reported events for the cited work

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Observation 246e1728-dc2c-43e1-a881-05ba2d111d1e · outbound

This paper cites PAL: Program-aided language models,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning PAL: Program-aided language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.723528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9b04ee5e-1dd2-4f13-8170-f02f5705d32f · outbound

This paper cites Causal abstraction for chain-of-thought reasoning in arithmetic word problems,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Causal abstraction for chain-of-thought reasoning in arithmetic word problems,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.705935Z

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Observation a2220d59-52cb-436f-958a-b96f09b19ac1 · outbound

This paper cites A Theory for Length Generalization in Learning to Reason.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning A Theory for Length Generalization in Learning to Reason

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.392565Z

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Observation 8af9e0f4-26d3-4839-84f6-40f71e44e48a · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Hotpotqa: A dataset for diverse, explainable multi-hop question answering,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.688229Z

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Observation ecc28a83-a663-4213-b071-589959c9b43b · outbound

This paper cites Automatic chain of thought prompting in large language models,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Automatic chain of thought prompting in large language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.670802Z

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Observation 93dccbdb-cef7-4f61-9436-fa02e32849aa · outbound

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

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.406841Z

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Observation 3da3e9ea-3069-4d3f-aba3-e2bb96432c7f · outbound

This paper cites Syn- thetic prompting: Generating chain-of-thought demonstrations for large language models,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Syn- thetic prompting: Generating chain-of-thought demonstrations for large language models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.653702Z

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Observation d6fe5ad0-757f-4a7d-b894-07ffcdbf09a1 · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning React: Synergizing reasoning and acting in language models,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.416387Z

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Observation 1706d942-a806-436f-b9a0-836a49d8482c · outbound

This paper cites Program of thoughts prompting: Disentangling computation from reasoning for numerical reasoning tasks,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Program of thoughts prompting: Disentangling computation from reasoning for numerical reasoning tasks,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.421129Z

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Observation 1a42cffb-e4f8-4229-92ff-91f22c8b673a · outbound

This paper cites ART: Automatic multi-step reasoning and tool-use for large language models.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning ART: Automatic multi-step reasoning and tool-use for large language models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.425795Z

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Observation c8bfe22a-26d3-4d09-a77b-4fa1030fd3f5 · outbound

This paper cites The Impact of Reasoning Step Length on Large Language Models.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning The Impact of Reasoning Step Length on Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.430667Z

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Observation 4eae0719-5b51-469e-add7-502bb8bccc31 · outbound

This paper cites Complexity- based prompting for multi-step reasoning,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Complexity- based prompting for multi-step reasoning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.614395Z

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Observation 6e7ac507-170d-43a2-aab1-f5b9d1f496a0 · outbound

This paper cites Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.440371Z

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Observation eec7229e-829b-45a6-b4e4-517b700783b3 · outbound

This paper cites Evaluating Mathematical Reasoning Across Large Language Models: A Fine-Grained Approach.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Evaluating Mathematical Reasoning Across Large Language Models: A Fine-Grained Approach

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:21:21.914159Z

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Observation d8161538-c5c5-4e81-a6c0-325ed28ca14f · outbound

This paper cites Deeplogic: Joint learning of neural perception and logical reasoning,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Deeplogic: Joint learning of neural perception and logical reasoning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.597355Z

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Observation 91acedea-eb14-4a88-b070-cef0725c39e7 · outbound

This paper cites Visual reasoning: From state to transformation,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Visual reasoning: From state to transformation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.580306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5dbd45f4-b132-46bc-a800-7e81ac4c60dd · outbound

This paper cites Least-to-most prompting enables complex reasoning in large language models,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Least-to-most prompting enables complex reasoning in large language models,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.562645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33c31c42-54f4-403b-bf9a-140ba84c37f2 · outbound

This paper cites Language models are greedy reasoners: A systematic formal analysis of chain-of-thought,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Language models are greedy reasoners: A systematic formal analysis of chain-of-thought,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.546874Z

Source-reported events for the cited work

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Observation 9a0624fe-3420-4e86-b4e8-afb43bf5a852 · outbound

This paper cites Solving math word problems by combining language models with symbolic solvers,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Solving math word problems by combining language models with symbolic solvers,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.531668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f4f2844-ea06-4332-ae3e-71d25d3951d9 · outbound

This paper cites Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:21:21.890720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a9aaef12-ac45-479d-b354-45fd53355a8f · outbound

This paper cites Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.475688Z

Source-reported events for the cited work

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Observation fac18694-a8f3-4096-aac8-de63bc49eee0 · outbound

This paper cites Why think step by step? reasoning emerges from the locality of experience,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Why think step by step? reasoning emerges from the locality of experience,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.516888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation abc3f7af-00fe-439f-a39d-3741695a2d1e · outbound

This paper cites Can language models learn from explanations in context?.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Can language models learn from explanations in context?

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.502242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6cbc35b0-be91-4a20-901f-55eb26efbc18 · outbound

This paper cites Causal abstraction for chain-of-thought reasoning in arithmetic word problems,.

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.486111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 809c5d0c-d3fd-4808-9ff4-f1e4e751b450 · outbound

This paper cites How large language models implement chain-of-thought?.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning How large language models implement chain-of-thought?

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.467707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89d09452-9618-4791-b2fc-757c1c014dfc · outbound

This paper cites How does gpt-2 compute greater- than?: Interpreting mathematical abilities in a pre-trained language model,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning How does gpt-2 compute greater- than?: Interpreting mathematical abilities in a pre-trained language model,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.448192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c4d171ad-b657-44b4-a946-e4044de430a8 · outbound

This paper cites How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.502333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e6804b6-ad95-42e0-9e85-bb1e148cf328 · outbound

This paper cites How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.506932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4422bbb-35de-4366-b91e-d7dd04c01fcc · outbound

This paper cites Ecm: A unified electronic circuit model for explaining the emergence of in-context learning and chain-of-thought in large language model,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Ecm: A unified electronic circuit model for explaining the emergence of in-context learning and chain-of-thought in large language model,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.511003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c5601b9-b66b-4e40-a712-5adeac652526 · outbound

This paper cites The expressive power of transformers with chain of thought,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning The expressive power of transformers with chain of thought,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.431455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3657318b-d9a5-4f3b-943d-8a283bf47a00 · outbound

This paper cites Chain of thought empowers transformers to solve inherently serial problems,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Chain of thought empowers transformers to solve inherently serial problems,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.414728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b6c21fb5-8a81-45e0-8bc5-a653661c826f · outbound

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

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning LLaMA: Open and Efficient Foundation Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.523935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9837ff25-e801-42e9-b260-5f61e143ab82 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.528383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63df93b5-353c-4c19-8675-58384580d161 · outbound

This paper cites Llama 3,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Llama 3,

Reference 57

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T20:21:22.398308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e435b857-0623-4042-90e2-9820da970921 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Code Llama: Open Foundation Models for Code

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.537726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c5681fb-7bd0-490d-9925-2191feba6bff · outbound

This paper cites Mistral 7B.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Mistral 7B

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.542697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51188fee-a977-4d7b-b6a9-612d0a0611eb · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Gemini: A Family of Highly Capable Multimodal Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.547357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ec65144-9775-4e99-a5a1-5b7f09419b66 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning The claude 3 model family: Opus, sonnet, haiku,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.552145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6a23701-52df-430f-a511-13b4fc18abfa · outbound

This paper cites GPT-4 Technical Report.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning GPT-4 Technical Report

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.557087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d741793-2a04-495f-8fe8-5f45f8d96a22 · outbound

This paper cites Mammoth: Building math generalist models through hybrid instruction tuning,.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Mammoth: Building math generalist models through hybrid instruction tuning,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.371688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dac958e1-052f-40cb-b0e9-838211590ea5 · outbound

This paper cites OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.566759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64afb5a-edfe-4a81-b05d-30ce3edaeed3 · outbound

This paper cites That is, the difficultyD(t 1, t2)satisfies: D(t1, t2|m) =D(t 1|m) +D(t 2|m) =K 1 +K 2,(14) where, K1, K2 denotes the relevant constants.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning That is, the difficultyD(t 1, t2)satisfies: D(t1, t2|m) =D(t 1|m) +D(t 2|m) =K 1 +K 2,(14) where, K1, K2 denotes the relevant constants

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.356321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 86202f59-eda9-49de-b0ad-99ffefaa963b · outbound

This paper cites Proof.Following Eq.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Proof.Following Eq

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.340411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0918a7b2-9f74-4bc3-925c-50102f2e6bc8 · outbound

This paper cites The prompt provided to the model is: Generate a scenario-related template involving multiple mathematical steps to solve a real-world problem.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning The prompt provided to the model is: Generate a scenario-related template involving multiple mathematical steps to solve a real-world problem

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.324113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2750336f-42a4-4b83-aa85-cf9078fd4f7c · outbound

This paper cites To facilitate the generation of extended sequences, we decompose the templates into smaller, loopable segments that incrementally meet the multi- step reasoning demands.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning To facilitate the generation of extended sequences, we decompose the templates into smaller, loopable segments that incrementally meet the multi- step reasoning demands

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.307843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 15648ec3-164c-4c1d-997a-02c78d9261a6 · outbound

This paper cites an unresolved cited work.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:21:22.291750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1c6e51a6-b1f1-45db-ba94-dfd3e84768b8 · outbound

This paper cites This step evaluates the models’ performance across a broad range of numerical challenges.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning This step evaluates the models’ performance across a broad range of numerical challenges

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.276695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 648eb547-b64b-4f3c-88ae-bf8a9baebe0d · outbound

This paper cites Three experts were then hired to assess whether the samples were correct.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Three experts were then hired to assess whether the samples were correct

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.261081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c3327177-73e6-4196-a246-b100ec8bafa5 · outbound

This paper cites an unresolved cited work.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:21:22.244258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3caab6d0-64c3-4ecf-ac63-0b9443da5bee · outbound

This paper cites You should break down the task into manageable steps (less than 15 steps) within your capabilities but always consider the broader objective to ensure coherence in the approach.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning You should break down the task into manageable steps (less than 15 steps) within your capabilities but always consider the broader objective to ensure coherence in the approach

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:22.186408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 77c179dc-385a-492c-bbcb-bb63056fcac1 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:41.853000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8b8b8fb4-4e33-46f0-bc71-d309f17be26f · inbound

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models cites this paper.

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:12.095738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation becadbe7-04b9-4418-838e-4802b9b53b35 · inbound

AI4Research: A Survey of Artificial Intelligence for Scientific Research cites this paper.

AI4Research: A Survey of Artificial Intelligence for Scientific Research RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:12.259767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 379d6d96-b78e-47b7-9fc7-89b01701133d · inbound

Do Coding Agents Understand Least-Privilege Authorization? cites this paper.

Do Coding Agents Understand Least-Privilege Authorization? RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:37:40.078710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.