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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 8 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=sha256:92728202d8869bb343c13a2118f98043ed25e1d3e57de31f98468c479e131036

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:e7c1e946d16673c2e2e1495e5bd9784b00b585c5341e12bbc30f88e3ef7a93bc

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:c81bb603fc7b401ab784bf6cb434adb5e68f7ea33048c02fae45288d74b28fda

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=sha256:3ecb91db16c4fb973012ebd8498fcd6b1420a699e7e103064a12c0151a2e16e6

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=sha256:3ff8832a3a43d495a4a13c22dfff340ad7029fcb771438468b839c8f86d2a3af

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:c324a4b8a008ac089f0d5bad4377f26fe0b6caaf2841ff87b3f556374c3284e1

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=sha256:728cf15d822284217e9c38859468df1b598a1d8ff7efc4bc9b6878943d9c1b60

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=sha256:0b1a44b3127a3b7ec6610f6595c20acd5ad2eedc0bc5432632b58c5402cb9faa

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=sha256:157a6f333228e5c94a9a246e4203ad26034c67c6b58cec8ce021a383aa08b2b7

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=sha256:0ea01f8165925d5552fd427d95ecb82049fbf46c66a6cc743e8f0b56a40cbba3

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=sha256:4cff3cd4ff30da4f95fae8af55c032787a83b28633f2200532acb51b43ba2d66

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=sha256:753f255c2b91a45153ded46ac39ee44a14be6dcbad5e7167094ed7a99511cb5d

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=sha256:5984b875538bdce01318f0cdb5beefddd2ca8462e68e22820f899a428653e696

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=sha256:8ab8d6a0c0c9ddcdb08307ac30d93f3a1585b48bc284fd27187b93fc30795a8b

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:dcb29af2202506a80c3c0b2f78bfed10ea3409c1d6771681e41309061deeefbb

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=sha256:3a6c4f0c3acd2ef2030f97371a3d22d4d11867d8103d04c0260591b9351c4009

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=sha256:3dc6562f6e2281199ac8d69feec8305e3503a1ff2f7d9d481c03a6c67e1d4ee4

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=sha256:0faedd04b3a94011f81e35f224520f7c4b8e4418d215e983e2bc17c89c6fa453

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:ed7d08da3fbf69121a323a29a029fa6c51af843e74cf190370159c7cedf3bee8

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:dd33a6d80051fdc787c700505f2caa11debe87a41a1d56aa4c81260910384e05

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=sha256:49c2c083025878836cb93ae52fb4cdfda2401e065d0b882a6d4c57204ccfcfc8

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=sha256:1f5a97914d68df30edbfe71ca81cd1042366c122d2b312d2d72d36c6233c71a3

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:fa4ffabc62407f7f7bf1721c8283e57db3a993e256bc2093fea9cbfd4990b447

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:e696b8e245b6a71a2dd854bf11dfb97650cd4b80fe94a9568e5fa959678688cb

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=sha256:7efba3c0d68b71b40306134a1adb22a403307b1282b4f840551d7d83afe97e8b

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:ec419ad98093fefcf55a21ba4226eba06cd5f1aaa5ed8a0e64933fc4dc57bc71

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:a19fc2388dc2b06dfc531f23613a1339ee75b631e0a21677e6fa8440ecc4b59f

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:a383368672e007451bb652c07ca8a7af63fac5f542907f9cba64a5793b867cd1

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=sha256:17b4a17464af0260b28970b7c7960a751fa5ad591d1d130bbbf741ffab27d5e6

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=sha256:7e946d01e838844303cfb8d0f4ffa47d4fc99179b431a7fc5b54f933664e4f73

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:f3d9f0723e16b162d9182253ef67a3a419a9bad4a1d4ef7d5ae42db30d4da75a

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:ab87b32ecb30ce0af8301c6b2e0f169c8265be2a3d2e2af41c16e1ef6739ece4

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:ca17cdd15506a718b68c86208fdeb2da0ebe8a64b37ab51e2e43c989e6aad0f0

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=sha256:0962d49dc95b523466c06d2d28a1fc970f1e9a07a5a9ca7287cde592ff05aac4

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=sha256:556ccb88d1104c76b64cdc025ec483e7c671275ccf7e9b8f0b32621e13900d6f

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:a92a29d1d5421b489e235aa1468d8319a584cc39d08a0eeef9806559826ba581

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=pdf_text observed=2026-08-07T04:30:43.670025Z digest=sha256:d4d7e5c59b48b54b5ed0d4a43d08a6485fc735685f8f5c6dcd076860dff1657b

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=sha256:0288d9c96ec506aab0c76ece9b60db0f6b7c44d2e5b1b150c7ed67341a3fe6bf

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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source=pdf_text observed=2026-08-07T04:30:43.675280Z digest=sha256:ea269a991c37750a4b8ae8ef7585db2e4802d572215011fc59ed76aaad5b0dc6

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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source=pdf_text observed=2026-08-07T04:30:43.677637Z digest=sha256:031930363a6a9c4cef6717d943f275211051d3bb8283cbafbd04a1dadfffee29

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:30:43.680205Z digest=sha256:c34ac0c5eb80d7e0fc106a6fbbec445c73a1f7e3a5038deff5a41f5479b08579

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:b85369ecea1b1240fdd29f81e623342750b089f379079ee08b39e30529eb1e38

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:e8e6931ac7a58d51b7cef32f33f898eb91d578172a5e0c12091f92d63392e9d9

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:a970a047c0849a1ccb425bccc16a6719bad87f08890f7ea638c438a3def25a6e

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=sha256:7521bdfdee90d4504689117e53f101e8066bb9cd7225448283b19eaf675a4046

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=sha256:24eeb95ee7e4912a3207818c59d39d57c403dd2835f13ec198279bdc678eaaaf

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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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=sha256:5d87b8fc8e72a4b38da1104d0d293e5945efd20a046fce013840dc9a7c0f2049

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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source=pdf_text observed=2026-08-07T04:30:43.701638Z digest=sha256:64e8035d9d764e64478159fa5829117ed3c7f65f13d62bbae4c73d0fa37418c3

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=sha256:8f8f2e39bfd276511aa073a248f39c560347634f808889ef64decdd89a55a840

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:afb06f001f4c31a47f19dfbc05d702a89860b01612b26fcfb989d7d9cb22bc1e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:30:43.712993Z digest=sha256:9eb6fdd9f6fbe638170a7707a221c45c873c5028034691e47ea9f8ec642332b6

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=sha256:8c961febfb32096b877616eb93e80c5a74b03c27165fcda2a5fa248c81cd73c1

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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source=pdf_text observed=2026-08-07T04:30:43.718419Z digest=sha256:10763366ef7a498526a78c8f3a5ff07294a67ceb77483262f556f49dca838d2d

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=sha256:001420cd5fae507a999c1e5308f1fa099c6db20250db7b0e5c91507650f20a8a

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:b4e9b247361aa02415b68e91fb1594d094602b08ca80b28d822c014f402ae5a6

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:b059c35e83cce3d9fff4572adec038ca9b7aad13fc20a8c0fee9920a3ad5012f

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:c540963f1a140733472c3591d2e4092c1d0b8a0e2376e2f25af32fa4e00ef55a

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=sha256:3dcb38c2ffe780744c01fdee7de4369da05c6941b32ac391f3b5e0b5b2b55b59

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

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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=sha256:46a1b274532c44019a7a9a972ce4581257162968a0498fc24bb9b1ce6ac671c7

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=sha256:1a9011d2b370a208083b28ab259ca4be6968029572f13c85a6aadfc953573fea

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:2662f0e6eef60c086543a0d6a6a33e696ef867b91db23dee4c532b6bed554bc5