Paper Citation Record · LEDGER

GenSelect: A Generative Approach to Best-of-N

As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 2 inbound Pith citation observations for arXiv:2507.17797.

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

pith.paper-citation-record.v1
2507.17797 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:51:26.594720Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T06:20:16.941026Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T06:20:58.254035Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c1b8058-fc4e-4285-87fa-215bd6c98e2a · outbound

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

GenSelect: A Generative Approach to Best-of-N DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.522290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2818eef-f5ce-4311-b868-782e9556d367 · outbound

This paper cites Reward Reasoning Model.

GenSelect: A Generative Approach to Best-of-N Reward Reasoning Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.527647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d773f8f-2a6d-4243-bf97-eb763321e385 · outbound

This paper cites Jiang, D., Ren, X., and Lin, B.

GenSelect: A Generative Approach to Best-of-N Jiang, D., Ren, X., and Lin, B

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.537150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e91a6d9-ecb2-4e7c-8340-904dadebe7c5 · outbound

This paper cites Generative Reward Models.

GenSelect: A Generative Approach to Best-of-N Generative Reward Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.563079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 394c8192-cda7-4406-b260-68e0f310c6a6 · outbound

This paper cites OpenAI o1 System Card.

GenSelect: A Generative Approach to Best-of-N OpenAI o1 System Card

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.571542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d62aeb44-c678-4170-9ecc-cb8cc39f8524 · outbound

This paper cites Heimdall: test-time scaling on the generative verification.

GenSelect: A Generative Approach to Best-of-N Heimdall: test-time scaling on the generative verification

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.576723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 191e0959-1609-4868-986e-3520c0c6e27d · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

GenSelect: A Generative Approach to Best-of-N Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.583183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95fe9ea6-4c03-438d-859d-819add20418f · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

GenSelect: A Generative Approach to Best-of-N Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.588375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76b2cbda-88cb-43c8-824d-8139488bb4c5 · outbound

This paper cites Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification.

GenSelect: A Generative Approach to Best-of-N Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.594720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d53cfc76-6fa2-464f-a762-4cbce13431f9 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

GenSelect: A Generative Approach to Best-of-N Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.516660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c7e6d2f-b88e-4a21-8de1-b38e997c672a · outbound

This paper cites Let's Verify Step by Step.

GenSelect: A Generative Approach to Best-of-N Let's Verify Step by Step

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.545213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39cb97ea-c5d5-4a47-9540-7ebb56d44c11 · outbound

This paper cites PairJudge RM: Perform Best-of-N Sampling with Knockout Tournament.

GenSelect: A Generative Approach to Best-of-N PairJudge RM: Perform Best-of-N Sampling with Knockout Tournament

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.554656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 732a5f61-ff23-41e4-a775-8cd2f0d6fa3d · outbound

This paper cites Cobbe, K., Kosaraju, V ., Bavarian, M., Chen, M., Jun, H., Kaiser, L., Plappert, M., Tworek, J., Hilton, J., Nakano, R., Hesse, C., and Schulman, J.

GenSelect: A Generative Approach to Best-of-N Cobbe, K., Kosaraju, V ., Bavarian, M., Chen, M., Jun, H., Kaiser, L., Plappert, M., Tworek, J., Hilton, J., Nakano, R., Hesse, C., and Schulman, J

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:26.510732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a92556f3-b0fe-46c3-ad62-edeaba6cecb8 · inbound

Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models cites this paper.

Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models GenSelect: A Generative Approach to Best-of-N

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:20:58.256592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 791dec5f-00a1-4ba9-9350-32848c0e55cd · inbound

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model cites this paper.

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model GenSelect: A Generative Approach to Best-of-N

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:46:06.336042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.