Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

  • verified exact0
  • verified fuzzy1
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:27.572743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:27.572743Z digest=sha256:04fd66ca02b3895e895a568cc8f7c2e6cd2ace7f5c4ad85b219afc770e6dde71

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:27.695830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:27.695830Z digest=sha256:f1f6c0ab5e425376a6fc968f34558ea46462742b4918669bf4ab037cadac4f37

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:27.818159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:27.818159Z digest=sha256:aeb740d2a8ca6e702c2c146517142686f41355a617531b150b9b707281109e4d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:27.939310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:27.939310Z digest=sha256:7c2c92d68ca7f6b02ad9b0fd326e39d5f2d1a77780cc8c44aa6587af00670db3

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:28.055856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:28.055856Z digest=sha256:40e1610d6cdc712bced0fcd63a1ab286000a39b741ae27239147be8239d5ef4f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:28.275333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:28.275333Z digest=sha256:080e6351a379164c2c6a0df7980422069d2e47bc52d88fdcf3663d5646ae3c63

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:26:32.292025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T04:26:28.346923Z digest=sha256:615263afe2ca93b81699ae238a1b93589bc3c2ce9b26e03604d095060fc24ddd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:28.407702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:28.407702Z digest=sha256:6ca6fe7973aad1e99af502bdbfb44c1f130fbf735bb10455ec4c6ce29096f79f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:28.457364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:28.457364Z digest=sha256:cefa4d99f5c2e2f32c5ea097903f9521225575e0bf0b2f6366d6157cdea914d2

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:28.544789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:28.544789Z digest=sha256:9ee67d3a75cdf876ee8ad74102a53714a8e21fe836f4ac68d477d8fad5b6ddb3

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:28.570310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:28.570310Z digest=sha256:b7c3c61478ca641e0696ea3df5e790adec591c304e5d1b9a04bb0a8afb2c059e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:28.679257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:28.679257Z digest=sha256:297a302d4ae404c3ac46fee5cf9fbb90cef66f337702b5a4a71cc90729a26bae

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:28.752507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:28.752507Z digest=sha256:24b6b4bf5f7c3545ade7d4e3c275ff0a85f1863fd30af00bbb1bf88cfad93783

Observation ebfac549-5e78-4e28-829b-8925b58a3e4b · 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 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:26:31.972986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T04:26:28.901039Z digest=sha256:fc8c78f4eb434ada911fa398c37365e1469e42527b1837966a70d5cd936c57d8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:28.984752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:28.984752Z digest=sha256:24e3874abf6ac99d45973767e6fc5a5786edfdb5ca439387249030f99fc4710a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.051959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.051959Z digest=sha256:c3438c82a8a2f5154b21f5fa171eb80e9022d01d3ab9d044c5e728d29b695336

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.108342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.108342Z digest=sha256:cc4f65049696c44c481092d415d63d4f2049513fc966825d2c968a45370ecdb6

Observation e0271799-7d97-4312-80cb-f996da2528e3 · 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 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:26:31.780138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T04:26:29.172183Z digest=sha256:631a0a90ae8519b579b283011750b9fcfb3a47df33d955c7f1557487d512cee9

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.251219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.251219Z digest=sha256:2f8740b29e39f6715a379760c06d6acdc5f2c3c371304e7f9d9e6ec8c06e10dc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.326145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.326145Z digest=sha256:36c2b6721241789a9399f5a28c57a087df801d1c158865970361e760cac98d02

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:26:31.653779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T04:26:29.416260Z digest=sha256:74e1ef078f557d32daa6f4d5467238e0644d57ad67016b803f1cf5ac83c381e5

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.499764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.499764Z digest=sha256:342effb710f3e16ff149621c8ebb9c9b209348a8754b62677079ad51faf81387

Observation 534b5a64-93ca-4ef6-b537-8e85e152e89c · 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 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.587028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.587028Z digest=sha256:36aa26efa9bd76517d6968686c0768622bf7c2ea00a863af1175d735a5c440c9

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.664052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.664052Z digest=sha256:257db50309822b30e48c5b637dda4f90300aee1f5c671405195e2ced3614f092

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.762250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.762250Z digest=sha256:7b2c22202740700cf588d3885b426eb5e3c255919cc8ff52222dfa3f6a26653b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.877898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.877898Z digest=sha256:40943b7bb33b065c90785a2b89bd2559c8ac35fb2c6eafecbab4ab2eed98f442

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.979176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.979176Z digest=sha256:dc4ec6b7ffd0b2846812984bfc33e09c5514be24b4d35b3b93d1ac3642dde216

Observation aac6e281-3ed1-40be-ac37-d636018db556 · 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 29

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:30.073168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.073168Z digest=sha256:ee5a70386a1bcc79e126efb24d3c3a2852b9b453e4d112c73c7642b0d328ab01

Observation 2e4a173f-81b9-456e-b54e-87e55d1c43fb · 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 30

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:30.150371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.150371Z digest=sha256:a6ffb1c23c1efa0c6fd62479ba1c81b46980a537bd58f94ebe7cb36389a48fd4

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:30.240320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.240320Z digest=sha256:8f165360b41b4ca6b59fab651f1774adde16f520445025a1e22bd53b11b384d5

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:30.303721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.303721Z digest=sha256:dbca0b8b0eb133e0e1c1cd0951e6e8948564faa6f3414cb3dc41ae9eaf0111ef

Observation 2aed1962-5f5b-42dc-b93d-a89d6c4d6de4 · 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 33

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:30.438882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.438882Z digest=sha256:4a6bf0ffbb3449f71b27efdaf7fea823cb094c3871c1801065524779b23726fa

Observation a2bbe5b9-b69e-40a1-8f74-cdba9e86fae9 · 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 34

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:30.541521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.541521Z digest=sha256:aacdda3ec413419ea779874ef0378bba2db7fef17b6a6f39b9bb6658646f3e34

Observation 649d8805-b4b4-46df-8b73-19fd270e7956 · 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 35

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:30.659645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.659645Z digest=sha256:742f706447e4f38ff3fd6f72bc300f843f0c011090a1b3a00e55e8d9e78b3645

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:30.706921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.706921Z digest=sha256:c670873f005197f8e76a11e45063639eb65242e90d61d885b6409ba4bf0894c6

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

This paper cites online" 'onlinestring :=.

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

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:30.824765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.824765Z digest=sha256:87c3605967b0ba9654a3785b8f9b3e1e2b080a39a85963b8474315feed869893

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

This paper cites write newline.

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

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:30.896248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:30.896248Z digest=sha256:241420a30ad3054bdd565915fb4eab2eed72f6164bbe825502377fc75683ed69

Pith citing papers

No inbound Pith citation observations are available.