Paper Citation Record · LEDGER

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.13315.

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

pith.paper-citation-record.v1
2608.13315 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:58:50.253103Z

measured 37 of 37 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

37 of 37 outbound references displayed

verified exact2
verified fuzzy27
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77bfbe1d-d34c-4218-b66b-fb442c6262dc · outbound

This paper cites Scaling LLM test-time compute optimally can be more effective than scaling parameters for reasoning,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Scaling LLM test-time compute optimally can be more effective than scaling parameters for reasoning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:50.015206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83b6b461-8a0c-4428-88e1-518df03a5def · outbound

This paper cites Inference scaling laws: An empirical analysis of compute-optimal inference for LLM problem- solving,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Inference scaling laws: An empirical analysis of compute-optimal inference for LLM problem- solving,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.334411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d28239cf-4e92-4d43-bd3a-1f072ce1af6e · outbound

This paper cites s1: Simple test-time scaling,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services s1: Simple test-time scaling,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.310903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77a021eb-1164-4f5c-9233-b88b3bbf94ca · outbound

This paper cites Token-budget- aware LLM reasoning,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Token-budget- aware LLM reasoning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.283687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c9a6cb7-0364-4cb0-9349-2dd0593776f2 · outbound

This paper cites Status quo bias in decision making,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Status quo bias in decision making,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.255899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5c867f01-8c56-4355-9401-e245580f77a5 · outbound

This paper cites The power of suggestion: Inertia in 401(k) participation and savings behavior,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services The power of suggestion: Inertia in 401(k) participation and savings behavior,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.232580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8302faf6-304b-4b3c-b80b-5fa6ae43895c · outbound

This paper cites Optimal defaults and active decisions,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Optimal defaults and active decisions,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.212055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f7bf6251-981a-4b1a-a52d-ec3799cd06ac · outbound

This paper cites MORES: Mobile Reasoning-as-a-Service via Distributed LLM Inference-Time Scaling.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services MORES: Mobile Reasoning-as-a-Service via Distributed LLM Inference-Time Scaling

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:58:50.585010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d18e7a1f-d870-476d-9d74-4ff90b967e55 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Self-consistency improves chain of thought reasoning in language models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:50.068651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 644c3de1-4948-4d45-8aa2-78075bd3f1e5 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Chain-of-thought prompting elicits reasoning in large language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:50.075075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95c2b53b-1785-4a6d-940f-c69ce80de6e5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Training Verifiers to Solve Math Word Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:50.080376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c81f5a3-813b-436f-8b57-6b7bf5a612ff · outbound

This paper cites Let’s verify step by step,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Let’s verify step by step,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.155625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 840189de-1c97-4e88-8a8e-f14a9bc328c2 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Tree of thoughts: Deliberate problem solving with large language models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.133502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 00c5ed72-c82a-46e4-b76a-aa0d798143b2 · outbound

This paper cites Reasoning in token economies: Budget-aware evaluation of LLM rea- soning strategies,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Reasoning in token economies: Budget-aware evaluation of LLM rea- soning strategies,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.106934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 121cad25-d6fc-414a-a349-acfd2d6e223a · outbound

This paper cites An empirical study of LLM reasoning ability under strict output length constraint,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services An empirical study of LLM reasoning ability under strict output length constraint,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.084686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6272a474-c2ec-4dd9-bf15-4fbb0c496edb · outbound

This paper cites Plan and budget: Effective and efficient test-time scaling on reasoning large language models,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Plan and budget: Effective and efficient test-time scaling on reasoning large language models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.063366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 603fe860-0137-4dc3-9a75-c8368135f67b · outbound

This paper cites Budget-aware anytime reasoning with LLM-synthesized preference data,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Budget-aware anytime reasoning with LLM-synthesized preference data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.042204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99c6f576-16d0-4832-859f-9f411e322b68 · outbound

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

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services FrugalGPT: How to use large language models while reducing cost and improving performance,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:51.019495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3df92875-c753-44bc-b7f2-30290b737d29 · outbound

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

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services RouteLLM: Learning to route LLMs from preference data,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:50.129717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b8e778-6e49-4d7e-9686-a88ada75b8aa · outbound

This paper cites Hybrid LLM: Cost-efficient and quality-aware query routing,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Hybrid LLM: Cost-efficient and quality-aware query routing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.984003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 72944ecf-db3e-4412-b750-343e85e985cc · outbound

This paper cites Graphrouter: A graph-based router for LLM selections,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Graphrouter: A graph-based router for LLM selections,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.962944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c35f7f66-3450-4069-b5d4-792482552aab · outbound

This paper cites Balancing information accuracy and response timeliness in networked LLMs,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Balancing information accuracy and response timeliness in networked LLMs,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.938326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3887488d-79c1-4e2c-b5a1-f9ff7fcbb449 · outbound

This paper cites MixLLM: Dynamic routing in mixed large language models,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services MixLLM: Dynamic routing in mixed large language models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.916138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 684fbfd0-352f-4df9-bfc9-42f6a4649c73 · outbound

This paper cites Don’t always pick the highest-performing model: An information theoretic view of LLM ensemble selection,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Don’t always pick the highest-performing model: An information theoretic view of LLM ensemble selection,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:50.157986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34a5e374-8a38-4913-96ba-b00a50b7a15f · outbound

This paper cites Routerbench: A benchmark for multi- LLM routing system,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Routerbench: A benchmark for multi- LLM routing system,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.878069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c6e45e7-881a-48e7-b510-c217a1287cfe · outbound

This paper cites Game-theoretic resource pricing and provisioning strategies in cloud systems,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Game-theoretic resource pricing and provisioning strategies in cloud systems,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.853124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3f5fd7e-10bc-4fbc-a309-b8e8c9f8f598 · outbound

This paper cites Dynamic trust enforcing pricing scheme for sensors-as-a-service in sensor-cloud in- frastructure,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Dynamic trust enforcing pricing scheme for sensors-as-a-service in sensor-cloud in- frastructure,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.826504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a60a7a1-e1d5-40f4-bae6-fbd8f62e3d0a · outbound

This paper cites A Stackelberg game-based robust optimization for user-side energy storage configuration and power pricing,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services A Stackelberg game-based robust optimization for user-side energy storage configuration and power pricing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.790345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4547cb6-523c-4579-b10e-cfd5cf38185c · outbound

This paper cites Optimal service caching and pricing in edge computing: A Bayesian Gaussian process bandit approach,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Optimal service caching and pricing in edge computing: A Bayesian Gaussian process bandit approach,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.766240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af193bc1-e2b4-455b-846e-dce60b17359d · outbound

This paper cites An oversubscription and service pricing exploitation-based profit maximization framework for industry cloud resource management,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services An oversubscription and service pricing exploitation-based profit maximization framework for industry cloud resource management,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.735347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc0bcb73-de2a-489c-90ba-8f0a6208b078 · outbound

This paper cites Lmaas: Exploring pricing strategy of large model as a service for communication,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Lmaas: Exploring pricing strategy of large model as a service for communication,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.710596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf4acd7f-387b-4fb6-bb93-4c0f6d0ef5cb · outbound

This paper cites Pricing online LLM services with data- calibrated Stackelberg routing game,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Pricing online LLM services with data- calibrated Stackelberg routing game,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.684590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c082a22d-ea70-4ed1-8f69-1848563becaa · outbound

This paper cites Test-Time Compute Games.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Test-Time Compute Games

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:58:50.359329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0530a0bd-a820-4687-b9b0-85ebe3259c5c · outbound

This paper cites Qwen3 Technical Report.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Qwen3 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:50.230825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc1a9291-312a-4e67-b0a7-2e85e3009dc0 · outbound

This paper cites Deepseek-r1 incentivizes reasoning in LLMs through reinforcement learning,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Deepseek-r1 incentivizes reasoning in LLMs through reinforcement learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.657125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 576ed6d3-e432-4102-906b-f2f6c256d3d1 · outbound

This paper cites GPQA: A graduate-level google-proof q&a benchmark,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services GPQA: A graduate-level google-proof q&a benchmark,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:58:50.623748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbe14917-3834-48a7-bbb8-5c1ea96ab533 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention,.

Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services Efficient memory management for large language model serving with pagedattention,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:50.253103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.