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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 22 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 2026-08-22T06:32:14.747728+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=sha256:8f3ee06a94131c02840d1adeb40b5fc0a03f8f36d41deb2f85226f46a255d63b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.430145Z digest=sha256:19d7c05453e32ee2b30373028785c94639dde7f82ed401b56401b6e1fdf8cfe8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.546177Z digest=sha256:7b03ad4bac02a3c020e996cd71bed0aec13cb9705feaf0c610f7b055a9bc7e69

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
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.565379Z digest=sha256:d4dea32b8841ee432709f3bf41f37b550b54365d743e6c7b80d80f8a16659843

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.576830Z digest=sha256:9cb40f3f6a162f12e7257115376ee076bdbb650860eb35465b7d3840a9d71d3b

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=sha256:873d102673379a38b4f9482357adf8730cf02b5c69db7fa1b7d72f183ae011f9

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:b0b625b3b156ab9669a885532304ca5546f397f39b507f3036235a8144a8c285

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
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.588042Z digest=sha256:f39696dccb2dbb1826f0ff6179988bc98b6242acaffb75cfd7208c8e04e87ea5

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=sha256:44c72cd1ab168335d18d3f8f57c4b0dc203f832d274574be80a7790e776e5f08

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=sha256:85c27ea61ff9cc084fd74b56fccc66741df693642b8335078a6b95622f661921

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:e53f41caca391e79a16b9c74f25e77d0c8854512269f36ed01786b5556b7bb1b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.599996Z digest=sha256:ab3ae11b3e2a9e05e852bd8f70488ad72c95f110e1b3770cdcf1e916fca03302

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=sha256:16e32962f7070dcf703fcac7b42d02865b4079f5464744f3b47aeb79799480f8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.605268Z digest=sha256:83595acb90c7d51c984e93b7f198e009a9ea1acb06ca0fe7bc5e32df57aa2001

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
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.607616Z digest=sha256:712046699677ef56bbeff45661c7be2d245320c7a5ee49bbdf264ee31fe49f77

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:c2222999e9595bba1992693384091dee62034c9dfdd461ed5097a6352b1a5fcf

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.612976Z digest=sha256:7d128a1f5d843009eacc8ef8e93e27a7e2ba5c1855863abdaa944cd336615583

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=sha256:1eac0ca3e25585d7ee93a1b9880eb7c56ac70038e3acbe37a1f419d677e5323c

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=sha256:45f80f6d65fa9d92054ad1d4c0f8a7270d0af9dc1a73d1b9e1fc51012117347e

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=sha256:9b7994727baec2610130b13878952e84bd72c136619d5eb8d55207a24cbf2135

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=sha256:38d9f8a5d69134cf34cc99fa1faf0e84293c743f03cf22b9524acec35f9e203a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.626419Z digest=sha256:afe56eea70e690646b64ff3d3b11c82daa734fe843628195f8a048b066011c42

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.628950Z digest=sha256:ac4cc52a7eafc7b354a02cfd9948ca530eb37e73e5c28923525348e94fa2b4ae

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:d3da0b3df46a133657297cd54fdbb1e9466606980db1c1ccd163233eeeaf9b04

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=sha256:702ebbbd5276e78d1c59107e6961eb3ecee0f0018e1f3a436f533b167f84c4e8

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:d96f237cf24669b06f344f0618a9ed8af19cb41bbf33af3a14998fe189b1f80d

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=sha256:757d47b5607940afb0212c9f033584f5697decbce0062014c820419f226ab82b

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=sha256:03230f998b445d0f3f9f010b05f86bf9ab69ee644b63a41925d51d476ab86912

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:e9967f785f76be9ae83289fe76d087a2c947047ddc59804daedd7ed187059c39

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:cca6ed4101081507e89290fb0f4b124240221a214ed9f7de719f213f9aef4940

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=sha256:381fe0f5180a92da4b731984627579b63c13c899b6ea0740fc6b29fa4f9e2b0f

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=sha256:2fdd6e9de33047103ac99ba4123d9458ab61fbf4e7b044eb7c40ed57d819ba09

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:aad6b6dac77c22a10f848081997a44604dddb2aca89cab28436179a39edf1244

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=sha256:0cd4aedfef780ad96e33a9a2c8b34c591315b0c33007c3a8fcde7ea2d0673897

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=sha256:7b3732de1dd52befa78773e4bf0d21d1c3e926ba6db9f4673f0b01a32f4de21a

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=sha256:815f061ff7ae0e86b37b12877cb3ec633469624541c136c4665bba2c39a1c209

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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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.670025Z digest=sha256:6e0131fcff2182c2f6bddcea957ac418ee205d79e74650e69682b6cfb64c6847

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:fc785d1a082a67603c605001cdecbff03a277b2f0a75a4a4c773728d85a69960

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

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.675280Z digest=sha256:3490646580096524d1b5493aedddecc32854ac87ca9f79f46b7ee7c5c6ee6395

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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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.677637Z digest=sha256:3fc23947219dbc1c46159daa7834d9cfd3e9b6462233c07ca37586a8986a6fb9

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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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.680205Z digest=sha256:756766d3a36371e871d5d2c8ddc67903852fc6540b6d52f6e2e0cb00654ca660

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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source=pdf_text observed=2026-08-07T04:30:43.682950Z digest=sha256:5a5afa433267de6ca15b359b7297d4d1fe9821d1ec9c6e49c5f944dc3258a39d

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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source=pdf_text observed=2026-08-07T04:30:43.685864Z digest=sha256:31d900eada53269e5f9d5d8ad114ec018e638e71405070fd5e912321563189e2

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:aaba0f5f3f6eedea8a77dc7ab850882470d54601892c11ca6a0f31029ebc1b2e

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:ccb005aba118fa5ccea138557b783dd03ce4d40028a161839268f1e97bf9b8e0

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:be53d7dcade768c30e4f45555244f68d7b40a3f486b07ed9a5e1402ee3dd9b60

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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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.698655Z digest=sha256:db5718555cf68c3b0e40b9466b74494438424a69a156ff6431dfc16b47bdae32

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=sha256:3bd188ea2bc7d2ad2c04c10ba653b2a42344fdc968f482cea0470293f6a236d0

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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source=pdf_text observed=2026-08-07T04:30:43.704737Z digest=sha256:bbe550e54b91243a081e165bd4843ead0309c87922c9fa361acd3427db8d94f3

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:f157681ba5e2c4ffb3f84712e7e6e16427a83cab79f29a0cf0cd0e6770b06fa4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.712993Z digest=sha256:6725fb662e6b9cdc2bd6e25fd0513d96cf2748452ee87823062b0c95237207f2

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=sha256:1b53523f523a4a3ad3d12e688b2860c0667c120a02ac0c804173cef0e1c2781f

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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source=pdf_text observed=2026-08-07T04:30:43.718419Z digest=sha256:8f194ee156e5c919855d15cb77627577f113fc3c3e56702674963f0e133f5650

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

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source=pdf_text observed=2026-08-07T04:30:43.721019Z digest=sha256:2a659eea55ab7986a482d0439834ffa281fd9ab0fec17673da1e154bf5c068e8

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

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source=pdf_text observed=2026-08-07T04:30:43.723767Z digest=sha256:31db5daf9128dc54fd9976083665d4f6f0fe78b7c25387476f32869cb86a82d8

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

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source=pdf_text observed=2026-08-07T04:30:43.727123Z digest=sha256:5ee325f36b6a311b036ee6c5e3a5f7feeb162ce3cd099231d1fc0ca97afd529c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.730009Z digest=sha256:25ef79ef015369b02ba418049d20a377804dcc5712fa218e82e87f75a01be78a

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

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source=pdf_text observed=2026-08-07T04:30:43.732528Z digest=sha256:f0f3df275df247937b9fdfe122b504a93c713d44e8e9830159c19bb25ebc438c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T04:30:43.710396Z digest=sha256:7a616fea2045fc96ecc1feba13b028f4955d2fdeeca7e366c7f5cf04594a3045

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

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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:b5a5e001e277e7c872a656c789b5f360284b7a0ae721ae16f9be86d8927705dd

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:65415da242258685ec9b23786230a0cc57369403157fb2cbc83dab2024150775