Paper Citation Record · LEDGER

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning

As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.27610.

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

pith.paper-citation-record.v1
2607.27610 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T01:31:13.934392Z

measured 49 of 49 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

49 of 49 outbound references displayed

verified exact0
verified fuzzy0
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c25651b-a4b8-4a13-aeb0-bdf29e2d307b · outbound

This paper cites Geometry3K : A large-scale multi-modal geometry reasoning dataset, 2025.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Geometry3K : A large-scale multi-modal geometry reasoning dataset, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:06.316159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a2e794c-f80d-46eb-a986-786232dd9f50 · outbound

This paper cites Lewkowycz, A.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Lewkowycz, A

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:07.118429Z

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Observation e42e9094-2009-45f7-8f7d-221c4ca2ea4a · outbound

This paper cites an unresolved cited work.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:07.900017Z

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Observation dda7602f-c96d-4072-b9ad-4d6df2434769 · outbound

This paper cites an unresolved cited work.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:07.999383Z

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Observation 1f2ced7f-357b-4639-a531-89f053522748 · outbound

This paper cites American mathematics competitions, 2023.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning American mathematics competitions, 2023

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:08.053283Z

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Observation f05134d8-55f1-48e8-a3e1-31d07740462e · outbound

This paper cites American invitational mathematics examination, 2024.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning American invitational mathematics examination, 2024

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:08.165443Z

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Observation d8f33ec3-3cbe-474d-b9fd-6bda0f7826f5 · outbound

This paper cites American invitational mathematics examination, 2025.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning American invitational mathematics examination, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:08.249377Z

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Observation 10637e71-34e5-48c8-a440-83d3d5910da7 · outbound

This paper cites an unresolved cited work.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:08.322722Z

Source-reported events for the cited work

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Observation 8270d4cd-e7c3-406d-8fa7-f5f095e98d88 · outbound

This paper cites an unresolved cited work.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:08.449175Z

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Observation 8b12c017-dd4e-4f1f-8514-87f5bc8b950c · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning HybridFlow: A Flexible and Efficient RLHF Framework

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:08.916088Z

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Observation 315cf590-106e-40bb-96e7-5b1ee7ab8bac · outbound

This paper cites RLHF Workflow: From Reward Modeling to Online RLHF.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning RLHF Workflow: From Reward Modeling to Online RLHF

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.028378Z

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Observation cb355ebc-f8b7-45be-baec-e2f1b4b86ec4 · outbound

This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Safe RLHF: Safe Reinforcement Learning from Human Feedback

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.106143Z

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Observation 5b45bfb3-0e3c-4249-b41b-dc6be31f009c · outbound

This paper cites Secrets of RLHF in Large Language Models Part I: PPO.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Secrets of RLHF in Large Language Models Part I: PPO

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.167491Z

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Observation 99c4092e-3461-4594-a35f-0f79c6d9c8b9 · outbound

This paper cites OpenAI o1 System Card.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning OpenAI o1 System Card

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.230567Z

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Observation 0d071ac7-eea3-4461-aa21-e75dd95511bb · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.370517Z

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Observation aa2862f8-7d5d-4704-b836-75d1b55ce5a3 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Proximal Policy Optimization Algorithms

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.439137Z

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Observation f6bfdf97-439a-4c01-b640-5c1342779ad2 · outbound

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

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.541870Z

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Observation 87f0f94c-469b-47e6-bc78-222da6881ad2 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.613174Z

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Observation bd59f526-a25a-444f-b760-3d3d64719d89 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.682350Z

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Observation 3eec7c2b-382b-4f92-bdf7-c3502409e3d2 · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.784324Z

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Observation 3494809f-a207-4435-950f-a4ad60214071 · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.823817Z

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Observation cee83150-c3c7-40dd-9acf-6b0203a2add4 · outbound

This paper cites 2024 , journal =.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning 2024 , journal =

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.875349Z

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Observation a3f8a8f8-5aba-43a7-9ab0-4c93541a3f3c · outbound

This paper cites LIMO: Less is More for Reasoning.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning LIMO: Less is More for Reasoning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:10.957470Z

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Observation fd9d861c-ef6a-4fd8-b5e1-be805572c6a1 · outbound

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

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning LIMR: Less is More for RL Scaling

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.009307Z

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Observation 702dcb8c-7dca-4c49-a568-d82c8a3d717a · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.152141Z

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Observation 792a1834-98fb-490f-9da1-117a075cb528 · outbound

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

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.290872Z

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Observation 8ba65db4-5faa-4a7f-86b7-dcf9cc0c9b58 · outbound

This paper cites arXiv preprint arXiv:2504.05185 , year=.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning arXiv preprint arXiv:2504.05185 , year=

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.391974Z

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Observation 7df0f2db-156f-4f71-9816-5ef0710f6e4a · outbound

This paper cites ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.492967Z

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Observation f6dbc0bb-644e-4bdb-bb01-bed382450bf1 · outbound

This paper cites Process Reinforcement through Implicit Rewards.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Process Reinforcement through Implicit Rewards

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.565942Z

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Observation 930b2c14-c88c-4ef8-b913-27f7d821d268 · outbound

This paper cites CoRR , year=.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning CoRR , year=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.625036Z

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Observation 0747bebd-a698-4172-b9c2-dd88e52bec97 · outbound

This paper cites arXiv preprint arXiv:2504.03380 , year=.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning arXiv preprint arXiv:2504.03380 , year=

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.703930Z

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Observation 1b5556f5-4edb-4997-aeee-d5c16e842f80 · outbound

This paper cites arXiv preprint arXiv:2505.14970 , year=.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning arXiv preprint arXiv:2505.14970 , year=

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.761008Z

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Observation 36364a43-6149-4376-b5fa-f611755097e8 · outbound

This paper cites an unresolved cited work.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.867963Z

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Observation adb31b98-a7ef-4df7-8dc0-2e0aa0eb353a · outbound

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

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:12.021984Z

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Observation 38ecddab-cd45-44c6-8b44-cf8bcc30b43e · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:12.159431Z

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Observation 07682476-ca62-424f-b24f-6345fb6cb488 · outbound

This paper cites 2025 , note=.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning 2025 , note=

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:12.274537Z

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Observation dfa8554c-6293-44e7-a104-36f1bc2a8a40 · outbound

This paper cites arXiv preprint arXiv:2506.06632 , year=.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning arXiv preprint arXiv:2506.06632 , year=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:12.455435Z

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Observation 377c639e-e952-4a10-8880-d3d53aa9a529 · outbound

This paper cites arXiv preprint arXiv:2507.04632 , year=.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning arXiv preprint arXiv:2507.04632 , year=

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:12.623436Z

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Observation 9aebdfc7-abc6-4beb-b6c9-61d9447eab84 · outbound

This paper cites arXiv preprint arXiv:2510.26374 , year=.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning arXiv preprint arXiv:2510.26374 , year=

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:12.742811Z

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Observation 1923581c-b5b5-43b4-9a48-b9c46c031552 · outbound

This paper cites Skywork-R1V3 Technical Report.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Skywork-R1V3 Technical Report

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:12.828360Z

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Observation 766c45ec-8a99-43e3-a963-464210332c12 · outbound

This paper cites SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:12.944244Z

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Observation 89327f97-d0b1-43a8-8056-6442326d0c24 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:13.083776Z

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Observation a77d461a-1e81-4245-af87-5d07bf159cc7 · outbound

This paper cites Let's Verify Step by Step.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Let's Verify Step by Step

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:13.281507Z

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Observation d3a1e6b3-a337-4407-918e-62e938e91314 · outbound

This paper cites an unresolved cited work.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:13.378010Z

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Unavailable: canonical work link unavailable.

Observation 33b5bc53-574a-4a61-ade5-2ae3eb70cddb · outbound

This paper cites an unresolved cited work.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:13.500869Z

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Observation 60a3ae54-73f1-45a5-8f40-5a3bf36882b5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Advances in Neural Information Processing Systems , volume=

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:13.573035Z

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Observation 1605788e-062c-4a43-bf1f-d7193c42c3ac · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:13.671595Z

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Observation f43e396d-7111-4f40-90fd-1522543e5d7d · outbound

This paper cites an unresolved cited work.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:13.817728Z

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Observation 90c868fa-b460-46cc-b1cf-3190f1bd4b4e · outbound

This paper cites Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts

Reference 82

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:13.934392Z

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Pith citing papers

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