Paper Citation Record · LEDGER

Test-Time Scaling with Reflective Generative Model

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.01951.

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

pith.paper-citation-record.v1
2507.01951 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:46:44.808617Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy3
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 649a06c3-d709-49f4-8d49-07364382960c · outbound

This paper cites Accessed: 2024-12-20.

Test-Time Scaling with Reflective Generative Model Accessed: 2024-12-20

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:46:45.017812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8226f95e-f046-4cbf-919f-72c19f342603 · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

Test-Time Scaling with Reflective Generative Model rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.759235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffd2d00c-1b1d-470f-a630-a5176093bc0e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Test-Time Scaling with Reflective Generative Model DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.762329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8385cb18-d209-40df-84d9-676f3c50eba2 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Test-Time Scaling with Reflective Generative Model LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.767588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cb25bc9-63f5-4393-a4bc-dee21072b0d2 · outbound

This paper cites The Impact of Reasoning Step Length on Large Language Models.

Test-Time Scaling with Reflective Generative Model The Impact of Reasoning Step Length on Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.770899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 351255ef-6d68-4d7a-9219-6e99ab6ba5a9 · outbound

This paper cites Accessed: 2025-02-18.

Test-Time Scaling with Reflective Generative Model Accessed: 2025-02-18

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:46:45.009803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 960841b0-a8eb-43b4-ae90-d6e7ef6b0273 · outbound

This paper cites LIMR: Less is More for RL Scaling.

Test-Time Scaling with Reflective Generative Model LIMR: Less is More for RL Scaling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.775814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47967841-d013-48fe-a5c4-a9853eeb27be · outbound

This paper cites Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.

Test-Time Scaling with Reflective Generative Model Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.778485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ebdc463-bd03-4a77-8dc5-8396593fd947 · outbound

This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

Test-Time Scaling with Reflective Generative Model Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.780934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1845ae5b-eaf4-43c4-a421-8b0b14f25fd2 · outbound

This paper cites Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning.

Test-Time Scaling with Reflective Generative Model Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.783885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3880fce-8e76-4f62-a8e7-1d6e0efecb7b · outbound

This paper cites s1: Simple test-time scaling.

Test-Time Scaling with Reflective Generative Model s1: Simple test-time scaling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.786503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e4d49a9-e75a-4825-9437-4a33a5296366 · outbound

This paper cites Accessed: 2025-04-13.

Test-Time Scaling with Reflective Generative Model Accessed: 2025-04-13

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:46:45.001249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4aead36-ea7f-4f24-8df1-5142667e29da · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Test-Time Scaling with Reflective Generative Model DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.791690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92296b9a-402d-4b5e-8175-2c9887416d9d · outbound

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

Test-Time Scaling with Reflective Generative Model Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.794776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3461d8a-0174-4f13-a6fc-b94a0a92ee26 · outbound

This paper cites AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification.

Test-Time Scaling with Reflective Generative Model AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.797312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d6b8b6-6b14-4d25-831d-644c5316d7c7 · outbound

This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

Test-Time Scaling with Reflective Generative Model Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.799931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85042b7b-9067-4a7b-8151-9a268dc0ed74 · outbound

This paper cites Demystifying Long Chain-of-Thought Reasoning in LLMs.

Test-Time Scaling with Reflective Generative Model Demystifying Long Chain-of-Thought Reasoning in LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.802656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54db9098-0616-4541-9ef3-e296ed949322 · outbound

This paper cites Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?.

Test-Time Scaling with Reflective Generative Model Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.805597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b537c84a-e98d-491f-97a5-ad21595fab3e · outbound

This paper cites The Lessons of Developing Process Reward Models in Mathematical Reasoning.

Test-Time Scaling with Reflective Generative Model The Lessons of Developing Process Reward Models in Mathematical Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.808617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efa51012-8f6d-4d4e-9668-632be0b1bbdb · outbound

This paper cites OpenAI o1 System Card.

Test-Time Scaling with Reflective Generative Model OpenAI o1 System Card

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.765061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9214b3c-3bd2-4c2a-b98c-8965c9052472 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Test-Time Scaling with Reflective Generative Model Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.752442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b532d1d6-c398-4e00-81bd-ba0d9d30f022 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Test-Time Scaling with Reflective Generative Model Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.748925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.