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Paper Citation Record · LEDGER

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length

As of 7 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2506.10525.

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

pith.paper-citation-record.v1
2506.10525 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:30:43.732528Z

measured 61 of 61 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T08:40:40.910461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:40:41.966992Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved59
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6d41adf-9003-4efc-96ae-f4abbe5d2c83 · outbound

This paper cites GPT-4 Technical Report.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.300900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.300900Z digest=sha256:888b413d00bceee6baaf43b8adec29e3990b45c2b1f1937c19488bfb62ecb481

Observation 085ca784-ec07-4589-b0cc-2bf9fe381f41 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.278749Z

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=pdf_text observed=2026-08-07T04:30:43.430145Z digest=sha256:4d9a41019e65f9910dab7bbfbfc4ab6fe935e9fecca29f06393e79e6947db812

Observation 181e9b3c-fc3a-4b65-9044-177b531fd61c · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.268418Z

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=pdf_text observed=2026-08-07T04:30:43.546177Z digest=sha256:563ab0fab4be653821a300633f4782257cdfd5c9d414a87ce4604c38dfb3a3b1

Observation 56bbef96-b376-4315-a59a-d1194ce03380 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.258973Z

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=pdf_text observed=2026-08-07T04:30:43.565379Z digest=sha256:89017a5a3ecbf9b8d23bf9b3942df7806a9129e910332b46b52f93e586292282

Observation 080400c4-9199-44c4-80eb-043eaab6b485 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.249433Z

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=pdf_text observed=2026-08-07T04:30:43.576830Z digest=sha256:c93ef5f0cc9dcc30f3e3ee84fba5a82165eefc02efc1070f0804b42ec7cf1965

Observation 58c29299-0afa-46c1-91e1-7908038b11d8 · outbound

This paper cites ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.582129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.582129Z digest=sha256:37fd460acf410b04036e1c84bd9d06d2d7ef29a8ff912dfac4ab2e08f214b260

Observation d69930fc-f4f2-4837-a143-7100ec5c7fe3 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.585439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.585439Z digest=sha256:b76bc18b55f1c79087b751db1f6da0e96b5763ebfc4009f282b098b6e2adbe6b

Observation 25feb3ce-8b89-42e1-bcae-079939d47858 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.233221Z

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=pdf_text observed=2026-08-07T04:30:43.588042Z digest=sha256:10a1183bd429241eb5ce1ea398a687cac2e600a4e75af2f2797553df86544703

Observation d7019c4b-ba3f-410e-a2fa-98961a55c0e3 · outbound

This paper cites MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.590827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.590827Z digest=sha256:a5dac8e105549c2c3774825c604572efbf84f9b9fe2d534038a5931b8483c040

Observation 92d62d8b-3b14-4b96-9898-2fe10eef2b7a · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.593849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.593849Z digest=sha256:f8ee60cc0437a799d7f503ca7320b628ade2bd60e99f2a02671b15f684a527f8

Observation edd0a937-333b-4642-9e55-eb752022975f · outbound

This paper cites Evaluating Large Language Models Trained on Code.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Evaluating Large Language Models Trained on Code

Reference 11

Resolution
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no resolver link, observed 2026-08-07T04:30:43.597123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.597123Z digest=sha256:ac5a12f4e6d756075ab864bacecb3df5d8d408ab35de3196a18656d6787a4579

Observation ce330976-62e4-4c45-a122-be0549cd89c5 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.223518Z

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=pdf_text observed=2026-08-07T04:30:43.599996Z digest=sha256:4d51c6819b1ab599379e43e0404a884ccc381e73982a9a4019af92f6151ea30b

Observation 7c2eb538-bc52-4b94-8ea3-f5488ab8d1b7 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.602644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.602644Z digest=sha256:aff1549580a6a9cd9cc1aa65ea44ee08c6a0a74f5ced0dabe82ac2a12f1a17ac

Observation 8b262a59-c24a-4bd7-bf3f-1c216af475e9 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.207216Z

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=pdf_text observed=2026-08-07T04:30:43.605268Z digest=sha256:bbfaab62895ffe2bf597c9e16b09511ec0aa83de52ae0301fc149e2bcefa30b9

Observation 53f4c308-0197-49a2-8071-825db8eaee08 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.196873Z

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=pdf_text observed=2026-08-07T04:30:43.607616Z digest=sha256:5d8cc71e0b96eb6e7ce3c1a1399e09102e787bb312eae1e0d86767febccdb0aa

Observation 93b1f274-69b1-47fd-bce9-1788d8f777be · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.610078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.610078Z digest=sha256:73b3e6047cef1086d8529e4b8160b2405673b41c510fdec66617ee72a6b84c50

Observation 245272a0-dde3-41bd-aa09-5c90b0a76eb9 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.186016Z

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=pdf_text observed=2026-08-07T04:30:43.612976Z digest=sha256:babde67feb75e0fa4cefe2463335dd64a3cf9f2288336a0b1ff3159cab3c03da

Observation a6d507ab-7111-45cc-a462-6226fcbe8cfb · outbound

This paper cites The Llama 3 Herd of Models.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length The Llama 3 Herd of Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.615874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.615874Z digest=sha256:0ea6b4a95e45841a63fa6711929c2e8e41d1b712b617415e67b2e6677efebf6b

Observation f4ca2098-8333-409f-adec-9f7189fac41e · outbound

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

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.618685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.618685Z digest=sha256:13452bb6e34e69a9663ca8a3fa7357438252b648bf89b4dafc44fa469cfc621f

Observation b034d4d6-8ffc-4734-bf5e-47a1c9d05c2b · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.621198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.621198Z digest=sha256:5aafbee855032269ad8eeb58b9d038e98ebfbaead8fe27acf30615ecc5977fa3

Observation b407d3de-efad-4227-b031-c7652a78dd28 · outbound

This paper cites Language Model Cascades: Token-level uncertainty and beyond.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Language Model Cascades: Token-level uncertainty and beyond

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.623890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.623890Z digest=sha256:fb5d3b53f886709dad5f46870de69d55b5268cf0bb1e8e10e819b907788f4c17

Observation b89f800a-d10e-49e1-af3a-f17bcfa6d4ea · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.176154Z

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=pdf_text observed=2026-08-07T04:30:43.626419Z digest=sha256:c4c81d4b8425644ff83ef5218010afe2281f1a459117759ec2774d67380912f2

Observation 5e4780ae-9de9-4892-a7e0-2ad823c7d0ec · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:30:44.166461Z

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=pdf_text observed=2026-08-07T04:30:43.628950Z digest=sha256:293aeae36fd6189902bad10e2ee05dbbabced3bc890e742ef1951c93562a229f

Observation 740f8f4d-9ffc-40a9-aaa6-3bf02bc37561 · outbound

This paper cites Qwen2.5-Coder Technical Report.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Qwen2.5-Coder Technical Report

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.631402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.631402Z digest=sha256:124da65630afe626fc627b5e2f9c6d70ae43f7c3137f1a7a8d608f3f73fb9997

Observation a7a7b159-4077-40c5-8c41-283cbaa1fa1c · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.634336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.634336Z digest=sha256:bd97d4e49e07c235cd502212bbad2c9dc1b7e0b55dbc4e4f1a552e8937f09a74

Observation 38c27a63-7aab-4904-91fd-52fa2f6f72cc · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.639675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.639675Z digest=sha256:975b09bfc0f7eac4bf53145174f110d687ec7b9f3aad0c608246dcf1e3175839

Observation b5b5bbf8-09d7-4c79-b561-3896ca3d8954 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.642302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.642302Z digest=sha256:855536675e01cb64483d7149d0e5cdbdc5cb749cdd4cf989a0330f496fb10933

Observation 2d98c8f2-cb62-4d1f-9b53-0535dd8758cc · outbound

This paper cites Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.645255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.645255Z digest=sha256:1b437a9ca96c3398dc89c2b850b181150c2c52af28c24d81578317a1a6f788f9

Observation c84b1aed-5527-4a07-99d0-31ba94f60efd · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.648066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.648066Z digest=sha256:dd8a586f0b5f4d98d0406e81bb71f2ff71cb991543866784a152643112b1932a

Observation ff3db786-fd0f-452c-a8b1-029ef1b21dd0 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.650633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.650633Z digest=sha256:b0e4559eb02b6dc1fc033177b979ce2e46e9ffae0e8b5edc2a7c7de2c06af0b0

Observation 3f0b7629-f38b-47a7-aa3a-d9435ac079ba · outbound

This paper cites DeepSeek-V3 Technical Report.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length DeepSeek-V3 Technical Report

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.653562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.653562Z digest=sha256:1d25edd3fb2b5eb2b85e7c4418f408d1c6b7c1a4db12178c4dba9621c3112548

Observation ce55d222-9e74-4001-9191-381bc053aa64 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.656174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.656174Z digest=sha256:78a9b8f504858af43fc8d4b8514739b66d53282add72479532019eb59eac6631

Observation 4e68e30d-277c-49e1-95bf-b374a7ea367d · outbound

This paper cites FullStack Bench: Evaluating LLMs as Full Stack Coders.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length FullStack Bench: Evaluating LLMs as Full Stack Coders

Reference 33

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unresolved
no resolver link, observed 2026-08-07T04:30:43.658947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.658947Z digest=sha256:d4deebd4e39cb189d383771c7b96f761c45777672a11b77fde0400f535b1a30e

Observation 6f044a43-55fa-4252-a4d9-595f70fb8249 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length StarCoder 2 and The Stack v2: The Next Generation

Reference 34

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no resolver link, observed 2026-08-07T04:30:43.661632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.661632Z digest=sha256:5b0d3732277ebe0de5fb0e635dd074c1db6b256e83c99dedd6b357d41b98c904

Observation bd49d803-f4e7-4f44-9eed-4e88660907a9 · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.664154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.664154Z digest=sha256:7aac48fb9f6f8b59bee3de7cafc56d419cc544f3d8c456badf980153cbe0595e

Observation 32edd287-44c9-4c67-aa65-b888d08bd87a · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 36

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source=pdf_text observed=2026-08-07T04:30:43.667045Z digest=sha256:0e62b1d0ed96ca90d3eb0f55641b03f437db4ee74733b1e5d1d9a42864c9ba6a

Observation 42128702-f35f-4589-9f32-d278006f71c6 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 37

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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=pdf_text observed=2026-08-07T04:30:43.670025Z digest=sha256:7966bb983cf1fcefe7a87cd9fc83bbdd2a0a0dc28799f64f441dfd9a72c61272

Observation 00982c16-3aa2-4f64-8f00-cafb8c3066b7 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Representation Learning with Contrastive Predictive Coding

Reference 38

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source=pdf_text observed=2026-08-07T04:30:43.672608Z digest=sha256:91e806246b5516da4c344ca5ce2d1defc88eb9d3199ca578aeaf11f1f7d60400

Observation 319037ad-95de-44ac-a5e9-e9c2444920c2 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 39

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raw_fallback, observed 2026-08-07T04:30:44.131542Z

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=pdf_text observed=2026-08-07T04:30:43.675280Z digest=sha256:e4adff77f99e1d46637c58fd0a7505f606f1f7abd840c3134ee78c635adcbd2c

Observation 3c311e54-140c-401e-b012-4c4ab196a9b8 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 40

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raw_fallback, observed 2026-08-07T04:30:44.122150Z

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

source=pdf_text observed=2026-08-07T04:30:43.677637Z digest=sha256:fd069013ad056f01ef17fe79cb943a5ab7ef32f09e113fe37132a533855a6f98

Observation 3e780167-c7f0-458a-8aa0-4d5f37817028 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 41

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raw_fallback, observed 2026-08-07T04:30:44.112956Z

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=pdf_text observed=2026-08-07T04:30:43.680205Z digest=sha256:d49de1c82b49727a87ea79285924212dc71cf85336bf427851b593a7f822d93a

Observation 2ff70853-156d-4456-9d79-edd42e2d9209 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 42

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.682950Z digest=sha256:0e1af201535b1c5272e941c1071b7038a8b55c939e6de1da0a5f685198f3beeb

Observation 1bb8b34d-2271-4f63-932d-c787bf8e5539 · outbound

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

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Code Llama: Open Foundation Models for Code

Reference 43

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no resolver link, observed 2026-08-07T04:30:43.685864Z

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source=pdf_text observed=2026-08-07T04:30:43.685864Z digest=sha256:e7de8ac80808542a5efe594387e3ecd1b2c03c66aac5725a93b04e20e6f6c43c

Observation 3b92a9bf-855c-4519-9e93-e78c559616f0 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 44

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source=pdf_text observed=2026-08-07T04:30:43.689526Z digest=sha256:6b320175c3b1836c50e13d03f9199479f8b6f0c123a3fd73c2201ac563c5ece2

Observation e32e607b-e44d-4e50-87db-0ff058070d3b · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Gemma: Open Models Based on Gemini Research and Technology

Reference 45

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no resolver link, observed 2026-08-07T04:30:43.692536Z

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source=pdf_text observed=2026-08-07T04:30:43.692536Z digest=sha256:3db9c14506ded937394a58b612019950e6a81bef35755f9a91a9e3b1c7b432b4

Observation b930f33c-fd93-46a0-9a66-acd38f40e671 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 46

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no resolver link, observed 2026-08-07T04:30:43.695588Z

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source=pdf_text observed=2026-08-07T04:30:43.695588Z digest=sha256:2cbfdc8de768f767e999e2aff147c163df741ea37e6b385ffcbc0581d7ed5bc5

Observation 4b23d8fb-f22b-4b5e-b1c4-9cdf380063ca · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 47

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unresolved
raw_fallback, observed 2026-08-07T04:30:44.097420Z

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=pdf_text observed=2026-08-07T04:30:43.698655Z digest=sha256:a01bc1321843e7debe3817f534aabf13fdfa4376fda6d0692925956cd6f16225

Observation e9643e6f-418d-45ef-adfa-f068a8990bea · outbound

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

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 48

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no resolver link, observed 2026-08-07T04:30:43.701638Z

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source=pdf_text observed=2026-08-07T04:30:43.701638Z digest=sha256:d283cc68cb17cc4cadd9b8b5be503c5ce847017b858a994bf488609d245abdb6

Observation 25c25e3a-7ab5-4e77-957f-277fca33f16d · outbound

This paper cites Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity

Reference 49

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no resolver link, observed 2026-08-07T04:30:43.704737Z

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source=pdf_text observed=2026-08-07T04:30:43.704737Z digest=sha256:befab667498c416a8f727f12d88979f4e2eac8c29ae74c367f2693ac6164c14a

Observation f20e54fe-6374-44c8-b590-6e6eb016213e · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 50

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no resolver link, observed 2026-08-07T04:30:43.707591Z

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source=pdf_text observed=2026-08-07T04:30:43.707591Z digest=sha256:789f80d0f2c80fe5479601b9bcfa629a0db4a718ff929db8f1e91cb0327b2033

Observation 2cfef98e-b375-4b95-8323-89889a61895d · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 51

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raw_fallback, observed 2026-08-07T04:30:44.071763Z

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=pdf_text observed=2026-08-07T04:30:43.712993Z digest=sha256:add6b26ad6f7b4fbcc241fc78235caa7dbfbf9b81ded40d5417d3b686bd88019

Observation b8d7e6f9-d2ad-41d4-9f89-a20754e104b0 · outbound

This paper cites Qwen2.5 Technical Report.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Qwen2.5 Technical Report

Reference 52

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no resolver link, observed 2026-08-07T04:30:43.715452Z

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source=pdf_text observed=2026-08-07T04:30:43.715452Z digest=sha256:6ae2a748dc95b4babbc8376553753afe6ff83e74774c2acec10141f256572139

Observation 3de8bf67-c0f0-4809-8d89-109eea562b45 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 53

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no resolver link, observed 2026-08-07T04:30:43.718419Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.718419Z digest=sha256:131d6f611ad51e20d324f79f52ff3fabf41005e7fd435d5248488f376be1cfa9

Observation ca3ebee5-37d8-4145-b92e-2765831549a9 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Yi: Open Foundation Models by 01.AI

Reference 54

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no resolver link, observed 2026-08-07T04:30:43.721019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.721019Z digest=sha256:edabba39d3db8dcdfd89c19900916e542cfbd33921857bc9f0b5a81551a224ee

Observation 231a6897-843b-4d50-bad0-1cf99c1ea2ae · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 55

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no resolver link, observed 2026-08-07T04:30:43.723767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.723767Z digest=sha256:d89ba13d0ec739671d34c7e39cde35225e4ea5b34b26bb788aabd6413d3752cd

Observation eae85b95-1cc1-44ad-964a-a3da894f18e1 · outbound

This paper cites Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

Reference 56

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no resolver link, observed 2026-08-07T04:30:43.727123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.727123Z digest=sha256:5f6587c9efa8a932bdd3247964792082d61af788335e117fd96d0e5aa81ae3a7

Observation bb07e68d-d2ab-4062-bcb6-f87f4f21e081 · outbound

This paper cites an unresolved cited work.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work

Reference 57

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unresolved
raw_fallback, observed 2026-08-07T04:30:44.060622Z

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=pdf_text observed=2026-08-07T04:30:43.730009Z digest=sha256:47fadc1d7ccd8918b193351b04d2eab72f79aa7a448cb1ed7733dd6f1fa5605c

Observation de1b0651-0b12-440d-9045-b5403c4351d6 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 58

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unresolved
no resolver link, observed 2026-08-07T04:30:43.732528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.732528Z digest=sha256:3b72fbb972cb3e23559fefbe03bc06a8e249b605a146e591a5a037848cb014ad

Observation 9feef7df-bea4-4c2f-bd73-a41ef18d0074 · outbound

This paper cites InProceedings of the 44th International Conference on Software Engineering.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length InProceedings of the 44th International Conference on Software Engineering

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:30:44.081970Z

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=pdf_text observed=2026-08-07T04:30:43.710396Z digest=sha256:c02f71718a047ec7955607d2b978322bd5707d01e1f94cdde4c8e40c2144a59e

Observation 833ed143-18c0-4c71-a32b-3604d6225d84 · outbound

This paper cites Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.637029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.637029Z digest=sha256:79adc512b9fdb9c74ccae3d67570e902eee20bc4c745cf2962c3dbfc9852ed71

Pith citing papers

Observation 3ccab821-797d-4115-8d18-3b5c0b0c7ee5 · 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 AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length

Reference 122

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:40:41.969888Z

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=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:2f02ee2dc23ac937b37c3a2951a4e47d7dfa3f2d2a702861af04c73fa78a264a