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Paper Citation Record · LEDGER

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.10716.

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

pith.paper-citation-record.v1
2506.10716 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:26:30.896248Z

measured 37 of 37 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 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

37 of 37 outbound references displayed

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  • verified fuzzy1
  • unresolved36
  • parse uncertain0
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External citation measurements

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Outbound references

Observation ca0c7fd6-ec41-4ac0-a1e9-9adcea586282 · outbound

This paper cites Aytes, Jinheon Baek, and Sung Ju Hwang.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Aytes, Jinheon Baek, and Sung Ju Hwang

Reference 1

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Observation b4f2e7ee-463c-497a-b3a0-43119574eb64 · outbound

This paper cites Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems

Reference 2

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Observation c4776fbe-2ff3-4169-920e-7143ccbfcde9 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Evaluating Large Language Models Trained on Code

Reference 3

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Observation 226aea30-cdf4-4639-a646-57ac8e4c16c6 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 4

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source=arxiv_source observed=2026-08-07T04:26:27.939310Z digest=sha256:37cd697c4022b974df54b1f3bb36ba12ea51b92411f20c0bd805440765b984c4

Observation 4d395cae-8351-4fc6-a854-b6950bb95253 · outbound

This paper cites Compressed Chain of Thought: Efficient Reasoning Through Dense Representations.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Reference 5

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Observation 20e4ec3a-90f0-4ae7-8e27-33f257591c77 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Training Verifiers to Solve Math Word Problems

Reference 7

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source=arxiv_source observed=2026-08-07T04:26:28.275333Z digest=sha256:f58b87e48830c277119677325174ffe484eee6665dafd5c9604be60952f28fb5

Observation c9866fe5-25d8-426a-b5b8-7936728df74d · outbound

This paper cites an unresolved cited work.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-07T04:26:28.346923Z digest=sha256:cd83c996ba803fd0b0eab1514ea055cf4301b666da11b201694f0d20135d4076

Observation 8836c54a-ce19-4ed0-99dd-33f3f64ef00b · outbound

This paper cites Dynamic Parallel Tree Search for Efficient LLM Reasoning.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 9

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Observation 96088a5a-5855-46d9-a528-57ad1580d18d · outbound

This paper cites Efficiently Scaling LLM Reasoning with Certaindex.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Efficiently Scaling LLM Reasoning with Certaindex

Reference 10

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Observation 96e258f8-6bdf-4cd0-aa85-89613acad44a · outbound

This paper cites The Llama 3 Herd of Models.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models The Llama 3 Herd of Models

Reference 11

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Observation 837ba166-9c70-46b9-b244-9388831f2e14 · outbound

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

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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Observation 35e40b06-a5d3-4890-b711-a2ac6db06e81 · outbound

This paper cites Token-Budget-Aware LLM Reasoning.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Token-Budget-Aware LLM Reasoning

Reference 13

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Observation ae87aaeb-8f3f-41c9-9cb2-f788a0858e5e · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Training Large Language Models to Reason in a Continuous Latent Space

Reference 14

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Observation ebfac549-5e78-4e28-829b-8925b58a3e4b · outbound

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PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Unresolved cited work

Reference 15

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Observation fe9e2b7b-cbf7-4136-bdce-8b1ab49fd203 · outbound

This paper cites C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness

Reference 16

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Observation c7667202-731f-4a95-8a9c-6945d5bf36b0 · outbound

This paper cites How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

Reference 17

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Observation 388b0d75-619c-4211-984d-b25b88b294e2 · outbound

This paper cites Reward-Guided Speculative Decoding for Efficient LLM Reasoning.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Reference 18

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Observation e0271799-7d97-4312-80cb-f996da2528e3 · outbound

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PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Unresolved cited work

Reference 19

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Observation 84f35551-7b7f-4572-a1a8-9b642c4b643f · outbound

This paper cites Can Language Models Learn to Skip Steps?.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Can Language Models Learn to Skip Steps?

Reference 20

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Observation 97baf1fe-46c0-46c5-b0e7-d6940a123a4d · outbound

This paper cites Self-Training Elicits Concise Reasoning in Large Language Models.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Self-Training Elicits Concise Reasoning in Large Language Models

Reference 21

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Observation 186c83c2-88cd-4f3e-a8da-2a21e8cc8036 · outbound

This paper cites Learning to reason with llms.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Learning to reason with llms

Reference 22

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Observation 4a01aba9-6f64-4f2b-a165-8b23b804d317 · outbound

This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Are NLP Models really able to Solve Simple Math Word Problems?

Reference 23

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Observation 534b5a64-93ca-4ef6-b537-8e85e152e89c · outbound

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PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Unresolved cited work

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Observation c6f95a1b-3883-4552-a47a-7e42be374d1e · outbound

This paper cites CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation

Reference 25

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Observation 0f847f77-a876-43b6-ae93-0b7bc9c5534f · outbound

This paper cites Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 26

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Observation 5234b3e7-42b4-4f5c-a954-1b31b1d23a88 · outbound

This paper cites Fast Best-of-N Decoding via Speculative Rejection.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Fast Best-of-N Decoding via Speculative Rejection

Reference 27

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Observation e6ed2f4a-3c5c-4a87-b7e0-71320f865a82 · outbound

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

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models LLaMA: Open and Efficient Foundation Language Models

Reference 28

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Observation aac6e281-3ed1-40be-ac37-d636018db556 · outbound

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PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Unresolved cited work

Reference 29

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Observation 2e4a173f-81b9-456e-b54e-87e55d1c43fb · outbound

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PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Unresolved cited work

Reference 30

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Observation ae34fecc-db5c-447e-b99f-829ed19fdc91 · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 31

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Observation 3ed2221f-823e-4377-8833-94df6a4bbae9 · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Chain of Draft: Thinking Faster by Writing Less

Reference 32

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Observation 2aed1962-5f5b-42dc-b93d-a89d6c4d6de4 · outbound

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PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Unresolved cited work

Reference 33

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Observation a2bbe5b9-b69e-40a1-8f74-cdba9e86fae9 · outbound

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PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Unresolved cited work

Reference 34

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Observation 649d8805-b4b4-46df-8b73-19fd270e7956 · outbound

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PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Unresolved cited work

Reference 35

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Observation 8ceaadcd-ca06-4cbc-88d0-db7db19fd77a · outbound

This paper cites REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Reference 36

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Observation 3dd715c8-9b64-432f-a11a-9c5a2f3b0308 · outbound

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PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models online" 'onlinestring :=

Reference 37

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Observation f301fbcf-8cae-4baf-8b56-085b85dc7962 · outbound

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PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models write newline

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.896248Z digest=sha256:eac16f8e2b5284289c014419d6bd1bc29e19b5224ef3673e6cb882cfce02db9b

Pith citing papers

No inbound Pith citation observations are available.