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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 9 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 2026-08-08T06:32:00.761636+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=sha256:60cb8776f533c41eefc1bd38e52cfa873b81f4691e59d545fd83cabdf11cbd5e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.430145Z digest=sha256:583b79f4203faf56a6cc5e9680fe1842cb53f400be321c4073c9e3fd450b444b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.546177Z digest=sha256:af5474a371fe883c1efcf5c1ecead0f9c7f42352e48aba8269e7642751b0324a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.565379Z digest=sha256:9f81efc362975e1bc206df603256c315358ea2833277f4a3669ab19467f13774

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.576830Z digest=sha256:4d33d66e4df4fcbc3f2f097ab2946f53a6711300f8a0357173e971b85d3a24ec

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=sha256:18b1a307cc64613e3a04fbb4bbb6785720a170133fd31833500cec6fdb6b11cb

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=sha256:71df6d71fe24977b14d208aa41a722493fd88aae3af11c027fb40478739e1bdd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.588042Z digest=sha256:0e084daec830ce3039886ee53f49d5a9481f38a3248c3714f3dee3686757058a

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:a34767d2f5185af98cad32c9afec6942c1078229707c2f63742445b7e785947e

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=sha256:23a5f60e78f320db031ccba38835330435172e9efdb7fb957899f7fa9d31f670

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
unresolved
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:a95c1060737a9b36e7529e1281e9228efa30e822bdace5521ecafefef242397f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.599996Z digest=sha256:257153d5309740180b8e1c89693a78538a7772ebcbb3cb9ea9dcc4b7591aa404

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:b5a11f04ca6caa29afc964fb6f48137262996de7b10e961f0e8203d9e96ca035

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.605268Z digest=sha256:2c5d2de4dc8bd4a2c62505f6fc88a5132d6d48752f3c0f650a7a17c1385dadee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.607616Z digest=sha256:3816218ed1049cc0d00aad977a56c3342d3ac963b5f949fc5542c3f38be0bf9b

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=sha256:88262955be06eb4e6caaab1babf086ff2298c124ca60c08cb84bc46f4e267872

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.612976Z digest=sha256:1e823cec98e94e3af9b7c410fa964e46d1706937a33e980424e41dbb5018be66

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=sha256:92e2fb10b810a76ab57a81b3cecbdbac760a02dbb7c87f140b5992d6e1702e35

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=sha256:7b5a9c838d1399f174a8977caf99014c9544d1938270541a714a35f5d7d7c6bd

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:bcdd3cd3ff8a6bbc43104be4ba4d5f1250411c42e3034445bf08b1b91a2babc4

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=sha256:5f4b0503907ae6861cc9b7de2f9b3c3255d6bffd5ff6e4537afb589ac3385aaa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.626419Z digest=sha256:5b1d576975928356ee8303fcfbd5da1b8f7c3f249c2f3cee6c826ea06cea46a1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.628950Z digest=sha256:bfd64bb21679a3d3b11d370e126df3a9737f61cccf3f95b735dd156eb97da038

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=sha256:2f69ac9c37ecfd33889a0b5442d4c1289500c268f4033f6c67360ebd56a09858

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=sha256:2808e4c48ce0bb4a1a8cd19de90b95d22ce116c4373d4d518cf08611a6f42ec6

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:e0bef07f5abba48f8cca58fedd1199cf08a91f852845e9ad77432244b157fa25

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:bddfcb95c1c5004f32d40ca8f1059bc6fd56f1ed3e2e3680a1f35bd4ba005559

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=sha256:4094e3f7a92fb138400109f4492806e6e1dd812b93fc22f68d9479660b5962f5

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:b93a84832770542d2aaa012da390abf32cd617014c1b387e057fe38c077a22a7

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:aad72840956fa12952e976479b89fe952f7b3cc73831abe43ed49297e90eeed8

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:fdf828b2f05cc212c32671ffe773f240f60043800d1d915c3d46959add733548

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=sha256:2ee963061baa385468b0004156d3f07fc87993bef4def46e245357116b9308c4

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

Resolution
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=sha256:72a5d6958715707a5ac228bf989da4bd7c33facf8dd11062fe0e25527237456d

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

Resolution
unresolved
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=sha256:3ec1024cba30b9f6746e912728d45b3609ab1d31ec929dd30bb3392313b2ea06

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=sha256:312b56b484db08a6002964ea43d3833d33315e40fcab61d0848736badc66a09b

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=sha256:2e2c1680aa9794405a5d69174f07e034e6590d1219c3bfc9afd2fa8ee33057b8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.670025Z digest=sha256:560d73ea134d15f7eb8ff1685768bc8484e0b5e78b62a6eba8a12aff0c6821dc

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:ecbb26779d24f7bd3167ca9e8a35fec51ef356ebc1ea100e8fe9e48bac84fcf2

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.675280Z digest=sha256:14038a756e3fdea7742f91a85df480392159a6f34473e22ab32aa3dbba6c5b43

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.677637Z digest=sha256:83932eb068fe05f5987cbbe424acffb56d1a6c1b4b884167c2dc2c169f0f5508

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.680205Z digest=sha256:cccc9ae1a8023de942fd6f4b24435dd6f965f1dd63c63f6e507fc877e957a199

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:a536287068144903d5d15767eee07c5eb408b7fbc1ae0c32cd24d906e3758384

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=sha256:7452f58dc778be8afe6b612aa4d0763ed3e4a8f9a34d8e6bc55d69f97aa12718

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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no resolver link, observed 2026-08-07T04:30:43.689526Z

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source=pdf_text observed=2026-08-07T04:30:43.689526Z digest=sha256:69aa303acb7e9f78275e55f2822511465592af9b203e3d0f1f082d7470d3a278

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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source=pdf_text observed=2026-08-07T04:30:43.692536Z digest=sha256:dbdccf8b7ee85f3538a3bf5ad94453285147775a2d250a0d9f77c2d6ede227c5

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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source=pdf_text observed=2026-08-07T04:30:43.695588Z digest=sha256:506dbbd5b311eb048fadbc4a47cb716fe6bdd4054ea688442fd1ef4e82d83ac3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.698655Z digest=sha256:60474aff418904c05cee9d3634fdb57e261a601086028265b9f0e326a41828de

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=sha256:84fe884b7486a14788358cbc3c44ca968a298cbed131df5b6be3f4368befafe7

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=sha256:1f6acdb5e7c07fc8973cb306ca490086a55a3a7405bedd25a38a537643a8a5e8

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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source=pdf_text observed=2026-08-07T04:30:43.707591Z digest=sha256:89d3996ac05e2366d27bb6fb2198993af4ebd60f3a7a812f2ff2bcaae01062c5

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.712993Z digest=sha256:556053b1215eaaaba82c64e3c56866e8d41f479e67b0a028dca661897c5d628c

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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source=pdf_text observed=2026-08-07T04:30:43.715452Z digest=sha256:8cf8e34dd45c1e0e27e6b2deda8fed96e2da5eb6fc36d1c5ae932683c214d4c8

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=sha256:2d0fee018a96a6693906a44bd232c601330a53f772cb6db7103c59b40b2631a5

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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source=pdf_text observed=2026-08-07T04:30:43.721019Z digest=sha256:c79a746025c1c3c3ab647c6f5cae18f3b7186f155716cc8ff2e17d3b534299b8

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:ecb790489f231ac2fbd90dcb7c2e1bab2f6ab049b7173d28181e59dd35fbc240

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

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source=pdf_text observed=2026-08-07T04:30:43.727123Z digest=sha256:f13732f0ab45b002c0a8cba9ce2ce243e88af597763955b4daa4400f41af7d54

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.730009Z digest=sha256:a3c49a523a787b6efd49acc4b32e5f6341d03debd064a97c410b135a365fbeff

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:30:43.732528Z digest=sha256:ab08661b88a7f70a63b8c6af3e023c4cecdb7e7ecff5f280ff4afc8c5e38ef28

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:30:43.710396Z digest=sha256:c682e900309c40364093bec4ff23c059345b2216a00d57ad2cf6c633cd51d722

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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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:ada77e5f891e0a97999aeeed68728f6d991ab1a1c1fa0363bc4f93c183d45f89

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:b5419e411704874b5b94cc4f6e63ce44d63f138b23ca035d67ed0181e3b6d941