Paper Citation Record · LEDGER

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 3 inbound Pith citation observations for arXiv:2506.17670.

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

pith.paper-citation-record.v1
2506.17670 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:09:16.900715Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:43:26.892335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:45:05.630274Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy14
unresolved25
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc7ba806-a325-4851-b649-e29f053cc964 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.711495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e131b818-c776-417e-a046-e5a93469b08a · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.716958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5eaf930-147e-4170-b76a-99a9bda4b434 · outbound

This paper cites Multi-agent conversational online learning for adaptive llm response identification.arXiv preprint arXiv:2501.01849, 2025.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Multi-agent conversational online learning for adaptive llm response identification.arXiv preprint arXiv:2501.01849, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.722607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89f84d35-f378-49bc-86d5-60090be6e5e1 · outbound

This paper cites Self-rewarding language models, 2025.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Self-rewarding language models, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.728026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a917f42d-d608-40d4-9b1c-605b626d1e29 · outbound

This paper cites Dai, Orhan Firat, et al.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Dai, Orhan Firat, et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.513840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 866a827c-ec9b-4282-ac54-1daa10836e30 · outbound

This paper cites Optimizing Model Selection for Compound AI Systems.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Optimizing Model Selection for Compound AI Systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.737566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9372e9ea-ea68-4bcd-b768-e87b5a7f3723 · outbound

This paper cites MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.743266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6d5621-d2a7-4116-9c61-45751b044317 · outbound

This paper cites Openai cookbook: Practical guide for model selection for real -world use cases.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Openai cookbook: Practical guide for model selection for real -world use cases

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.499102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91b8d944-6358-47c8-af8a-35b2b08ad166 · outbound

This paper cites Gpt-4 technical report, 2023.https://openai.com/research/gpt-4.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Gpt-4 technical report, 2023.https://openai.com/research/gpt-4

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.484401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5556883-d6bc-448d-8e60-746d4d75e7fa · outbound

This paper cites Cost-Effective Online Multi-LLM Selection with Versatile Reward Models.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Cost-Effective Online Multi-LLM Selection with Versatile Reward Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.757237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee962b6-f484-4680-bd66-6e33e8f124f4 · outbound

This paper cites Automix: Automatically mixing language models.Advances in Neural Information Processing Systems, 37:131000–131034, 2024.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Automix: Automatically mixing language models.Advances in Neural Information Processing Systems, 37:131000–131034, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.762704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation effa9d6e-8d0d-44bb-88a7-5ed65de30f93 · outbound

This paper cites MixLLM: Dynamic Routing in Mixed Large Language Models.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.767694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aebf1664-b45b-419b-97f1-836bcfbc9dec · outbound

This paper cites Which llm to play? convergence-aware online model selection with time-increasing bandits.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Which llm to play? convergence-aware online model selection with time-increasing bandits

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.460279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5cb509f3-6f9c-4152-a9e6-8d8009070bb9 · outbound

This paper cites Cambridge University Press, 2020.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Cambridge University Press, 2020

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.776964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 828e0dfe-36e5-446b-84b0-7f475cf7ee74 · outbound

This paper cites Conversational recommendation with online learning and clustering on misspecified users.IEEE Transactions on Knowledge and Data Engineering, 36(12):7825–7838, 2024.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Conversational recommendation with online learning and clustering on misspecified users.IEEE Transactions on Knowledge and Data Engineering, 36(12):7825–7838, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.435619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d082e7d-37a5-4b6e-b7c3-e1013fb98200 · outbound

This paper cites How do we select right llm for each query?arXiv preprint, 2024.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution How do we select right llm for each query?arXiv preprint, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.419339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 225e8a3a-1f13-43ae-bfa1-837dbe56f84c · outbound

This paper cites React: Synergizing reasoning and acting in language models, 2023.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution React: Synergizing reasoning and acting in language models, 2023

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.790891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c884aaf0-dca6-4739-bfed-a255e71e4024 · outbound

This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Griffiths, Yuan Cao, and Karthik Narasimhan

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.394067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 04d9258f-4ba6-4d2f-becd-8005b89a4ff8 · outbound

This paper cites PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.800166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 514cb4cb-85bc-49d3-af81-3af340a33831 · outbound

This paper cites Online learning and detecting corrupted users for conversational recommendation systems.IEEE Transactions on Knowledge and Data Engineering, 36(12):8939–8953, 2024.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Online learning and detecting corrupted users for conversational recommendation systems.IEEE Transactions on Knowledge and Data Engineering, 36(12):8939–8953, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.378378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c21b4e30-cdcb-41a8-9d74-4fba67eef8bb · outbound

This paper cites Improved algorithms for linear stochastic bandits.Advances in neural information processing systems, 24, 2011.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Improved algorithms for linear stochastic bandits.Advances in neural information processing systems, 24, 2011

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.810139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b11981e-2e7c-4698-840a-423d3b352fd5 · outbound

This paper cites Hierar- chical conversational preference elicitation with bandit feedback.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Hierar- chical conversational preference elicitation with bandit feedback

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.353696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 805463cd-b07c-40d0-bdfe-07f77a0c8a8a · outbound

This paper cites More Agents Is All You Need.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution More Agents Is All You Need

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.820848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b85edb78-a1cb-493d-9b55-d32d25fe4ad6 · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Mmlu-pro: A more robust and challenging multi-task language understanding benchmark

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.826572Z

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Unavailable: canonical work link unavailable.

Observation 558b76ac-1f6e-40d3-b317-e7bae6ea3a56 · outbound

This paper cites Let's Verify Step by Step.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Let's Verify Step by Step

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.831304Z

Source-reported events for the cited work

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Observation 001a390a-5758-428f-b697-dd7e54a7a668 · outbound

This paper cites an unresolved cited work.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.836988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69bd875d-c616-43a5-8353-f15580c40bf7 · outbound

This paper cites DeepSeek-V3 Technical Report.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution DeepSeek-V3 Technical Report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.841383Z

Source-reported events for the cited work

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Observation 3ca8776e-c4bd-42af-96dc-0a72c405b176 · outbound

This paper cites C-pack: Packaged resources to advance general chinese embedding, 2023.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution C-pack: Packaged resources to advance general chinese embedding, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.320715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8fc9287b-1f51-48e7-944d-876cf0d60290 · outbound

This paper cites an unresolved cited work.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:09:17.306065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 41f3b073-107c-4cf5-a4de-a322ff2f6673 · outbound

This paper cites an unresolved cited work.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:09:17.291232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d58f539f-754b-47c0-b43a-3aa3d99013cd · outbound

This paper cites an unresolved cited work.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:09:17.276152Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6d64603-8e31-4c28-82cb-c76771b953eb · outbound

This paper cites Is Correct:False Attempt 2 (Gemini w/ Context): Model: google/gemini-2.0-flash-001 Parsed Answer: Let a,b,c,d,e,f be the positions of points A,B,C,D,E,F on the line, respectively.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Is Correct:False Attempt 2 (Gemini w/ Context): Model: google/gemini-2.0-flash-001 Parsed Answer: Let a,b,c,d,e,f be the positions of points A,B,C,D,E,F on the line, respectively

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.261165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 226c2e73-f774-40ee-8ef9-10b1a0e96522 · outbound

This paper cites an unresolved cited work.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:09:17.245994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 94ea08a5-36f3-46f3-a071-6d8194f355c2 · outbound

This paper cites - The line AB can be parameterized as C(t) = (1−t)A+tB for 0≤t≤1.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution - The line AB can be parameterized as C(t) = (1−t)A+tB for 0≤t≤1

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.230287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation efb6b902-13de-4273-bed4-a5c6936fb111 · outbound

This paper cites - This implies p x2 +y 2 >1.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution - This implies p x2 +y 2 >1

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.213458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b71fe43-e1ef-4d16-8eab-6adb854d3e83 · outbound

This paper cites an unresolved cited work.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:09:17.198325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c65bff3-709b-4903-a6fc-27a13166ebdc · outbound

This paper cites an unresolved cited work.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:09:17.182591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 50b82892-0f39-4ea7-bf70-c6edb3937e39 · outbound

This paper cites an unresolved cited work.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:09:17.167516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 64666034-8756-4e34-a70f-dc363521f109 · outbound

This paper cites - The expression simplifies to 31+6 √ 7 16 , but we need p q to be rational.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution - The expression simplifies to 31+6 √ 7 16 , but we need p q to be rational

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:09:17.153042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation c2d024a5-d8a8-44aa-9124-fa573b8cbd95 · inbound

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment cites this paper.

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:59.736144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 913a4ba2-0412-448a-9c64-5313b2506521 · inbound

Latency-Quality Routing for Functionally Equivalent Tools in LLM Agents cites this paper.

Latency-Quality Routing for Functionally Equivalent Tools in LLM Agents Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:59:40.630795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 97dbcad6-fae5-480e-9352-7249b85d8c52 · inbound

Latency-Quality Routing for Functionally Equivalent Tools in LLM Agents cites this paper.

Latency-Quality Routing for Functionally Equivalent Tools in LLM Agents Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:45:05.631903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.