Paper Citation Record · LEDGER

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.08665.

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

pith.paper-citation-record.v1
2607.08665 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T06:32:41.000897Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 576f57c0-9821-48f7-9182-1a6230794c0c · outbound

This paper cites Measuring and improving the energy efficiency of large language models inference,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Measuring and improving the energy efficiency of large language models inference,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b4cf943-e29b-4372-a73a-361faee2469d · outbound

This paper cites Ma- chine learning (ML)-centric resource management in cloud computing: A review and future directions,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Ma- chine learning (ML)-centric resource management in cloud computing: A review and future directions,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee247f3-449d-4aea-b3b2-a16db847b78a · outbound

This paper cites Survey of different large language model architectures: Trends, benchmarks, and challenges,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Survey of different large language model architectures: Trends, benchmarks, and challenges,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 921fc337-0a3f-48fc-b0f1-7c47315d52e8 · outbound

This paper cites RouterBench: A Benchmark for Multi-LLM Routing System.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models RouterBench: A Benchmark for Multi-LLM Routing System

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8eb072b-c19a-4218-abdf-cad0a96810ea · outbound

This paper cites LLMRouterBench: A massive benchmark and unified framework for LLM routing,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models LLMRouterBench: A massive benchmark and unified framework for LLM routing,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807b6aa1-de10-4888-9b88-9d842a148a1e · outbound

This paper cites FrugalGPT: How to use large language models while reducing cost and improving performance,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models FrugalGPT: How to use large language models while reducing cost and improving performance,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1d0569f-f4f0-4d59-ae18-5a323a0dd236 · outbound

This paper cites RouteLLM: Learning to route LLMs from preference data,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models RouteLLM: Learning to route LLMs from preference data,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70536be9-9386-4a3f-b144-6f56d5847066 · outbound

This paper cites How Much of the Routing Gap Is Real? Decomposing the Router-to-Oracle Gap into Reproducible Specialist Advantage and Single-Draw Label Noise.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models How Much of the Routing Gap Is Real? Decomposing the Router-to-Oracle Gap into Reproducible Specialist Advantage and Single-Draw Label Noise

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aef4235d-5949-4466-9ed0-a708776dc4c6 · outbound

This paper cites Enhancing LLM reasoning capabilities through brokered multi-expert reflection,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Enhancing LLM reasoning capabilities through brokered multi-expert reflection,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e1a039-b477-4eef-881f-4c6f69cda090 · outbound

This paper cites Classifier cascades and trees for minimizing feature evaluation cost,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Classifier cascades and trees for minimizing feature evaluation cost,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67ccf748-9c97-4f2a-b0f8-d7e562aeb212 · outbound

This paper cites Classification with a reject option using a hinge loss,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Classification with a reject option using a hinge loss,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483ceade-1a1a-4805-a8d9-905c4de52069 · outbound

This paper cites Machine learning with a reject option: A survey,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Machine learning with a reject option: A survey,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f85aeb4b-d9ea-422f-817d-f25be22df0b6 · outbound

This paper cites QoS-aware web service rec- ommendation by collaborative filtering,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models QoS-aware web service rec- ommendation by collaborative filtering,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8433d7b1-4ff8-48ab-8beb-cb53e0b05219 · outbound

This paper cites On the impact of deep neural network calibration on adaptive edge offloading for image classification,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models On the impact of deep neural network calibration on adaptive edge offloading for image classification,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955714da-735f-40a5-b2dd-be7200ac859d · outbound

This paper cites Deep neural networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Deep neural networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed124d94-19a9-4a78-9b39-c0b7915bc23f · outbound

This paper cites Edge-AI: A systematic review on architectures, applications, and challenges,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Edge-AI: A systematic review on architectures, applications, and challenges,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66b65895-def7-4dcd-8bf9-fbf77435f3be · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7701a12-a62e-4a97-9832-3057cded2032 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e919b69-159d-42d3-bca3-4750e8b2c1af · outbound

This paper cites Ensemble-based uncertainty quantification for reliable large language model classification in social data applications,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Ensemble-based uncertainty quantification for reliable large language model classification in social data applications,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11c8c7dd-b43e-4970-9362-f215dfb2c6e7 · outbound

This paper cites RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bbafed3-edad-46fb-b8a1-f6604e1f8d34 · outbound

This paper cites Beyond the leaderboard: A survey of the science of evaluation, benchmarking, and methodologies for large language models,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Beyond the leaderboard: A survey of the science of evaluation, benchmarking, and methodologies for large language models,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a2a6509-aaa9-4b9d-b67a-69398fdaeabb · outbound

This paper cites State of what art? A call for multi-prompt LLM eval- uation,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models State of what art? A call for multi-prompt LLM eval- uation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba11c932-e4f8-41ee-bdc0-a2167b52e9cf · outbound

This paper cites Make large language models efficient: A review,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Make large language models efficient: A review,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a4003f-2ff6-4d73-b246-0d3dd21d3327 · outbound

This paper cites BrownoutServe: SLO-aware inference serving under bursty workloads for MoE-based LLMs,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models BrownoutServe: SLO-aware inference serving under bursty workloads for MoE-based LLMs,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a426239-8a7a-4a53-8c3a-1995a6bdfb66 · outbound

This paper cites iGniter: Interference-aware GPU resource provisioning for predictable DNN inference in the cloud,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models iGniter: Interference-aware GPU resource provisioning for predictable DNN inference in the cloud,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation effe0497-df2f-4ab8-9e8f-20631ace38d0 · outbound

This paper cites Best arm identification in multi-armed bandits,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models Best arm identification in multi-armed bandits,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a8cadeb-b0e1-4799-90f8-f82d8747f15f · outbound

This paper cites On the complexity of best- arm identification in multi-armed bandit models,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models On the complexity of best- arm identification in multi-armed bandit models,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5086d72a-818b-4525-a4b0-f6b192f0030a · outbound

This paper cites How can we know when language models know? On the calibration of language models for question answering,.

Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models How can we know when language models know? On the calibration of language models for question answering,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-13T06:32:41.000897Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.