Paper Citation Record · LEDGER

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories

As of 7 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2605.21468.

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

pith.paper-citation-record.v1
2605.21468 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:19:11.738106Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

14 of 14 outbound references displayed

verified exact11
verified fuzzy0
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 045dee46-67ac-4fc4-92e9-20585a9b324b · outbound

This paper cites Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:19:39.174452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5df37922-13a6-4002-bb1d-74195db52626 · outbound

This paper cites Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:19:39.166197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7dedee24-7b67-40a0-a187-35432e041e24 · outbound

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

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:19:39.189119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54a19620-adf0-4f3a-a51b-a3ce7e9f0f15 · outbound

This paper cites On the Emergence of Implicit Curriculum in RLVR Learning Dynamics.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories On the Emergence of Implicit Curriculum in RLVR Learning Dynamics

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:19:39.157678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83764595-42ad-45c5-8e80-3190892d8a55 · outbound

This paper cites Scaling Laws for Neural Language Models.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Scaling Laws for Neural Language Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:19:39.163459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 102f4e88-2b6f-4b7c-be28-6fa098c5dfc3 · outbound

This paper cites Olmo 3.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Olmo 3

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:19:39.171370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55a123c7-fb5f-4313-9655-089cf116aeca · outbound

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

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:19:39.168876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d57c11c3-5dc4-4f5c-ad18-85729c301de2 · outbound

This paper cites Linear Dynamics in the RLVR Training of Large Language Models.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Linear Dynamics in the RLVR Training of Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:03:53.599274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6c925f6-e75f-4990-aa3b-339165ac8fe2 · outbound

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

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:19:39.191872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4e27f99-c2b6-4a74-8344-1a82f5bb7122 · outbound

This paper cites Qwen3 Technical Report.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Qwen3 Technical Report

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:19:39.160804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00206f39-4726-464a-aabe-8eef1fc32c5f · outbound

This paper cites On the Implicit Reward Overfitting and the Low-rank Dynamics in RLVR.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories On the Implicit Reward Overfitting and the Low-rank Dynamics in RLVR

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:19:39.180936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4db0f03-3c1b-4abc-9cac-110cfbffa626 · outbound

This paper cites arXiv preprint arXiv:2506.07998 , year=.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories arXiv preprint arXiv:2506.07998 , year=

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:19:39.183691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70d1e977-8f55-4950-aa5b-09ed2d940e21 · outbound

This paper cites Pan, Zhangyang Wang, Yuandong Tian, and Kai Sheng Tai.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Pan, Zhangyang Wang, Yuandong Tian, and Kai Sheng Tai

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:19:39.186539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c986d15-323e-4577-a3c1-134a955de13c · outbound

This paper cites an unresolved cited work.

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-21T05:19:39.605503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.