Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.22230.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:08.621282Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T03:28:57.185637Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation cb55284b-90e7-41eb-a865-9f575cdfc1df · inbound
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework cites this paper.
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:28:57.189260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c8d13674-9209-4112-805a-b9c8a65c2ace · inbound
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks cites this paper.
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T09:36:04.780461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 55a6433b-ac7d-404f-a47b-625405051c90 · inbound
Seed1.5-VL Technical Report cites this paper.
Seed1.5-VL Technical Report Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Reference 122
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:26:05.470007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e388259d-75d6-4547-ad1f-4b7ae83df85b · inbound
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles cites this paper.
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:11:08.621282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24662ffb-c264-4631-af2f-7f3314206f60 · inbound
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning cites this paper.
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:01:24.199659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6db9ae10-fc98-4090-9e01-94de75763b3f · inbound
Enhancing Large Language Models through Structured Reasoning cites this paper.
Enhancing Large Language Models through Structured Reasoning Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:59:47.928830Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b27c1084-58a7-4ab4-9e97-f395f1d3f748 · inbound
Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes cites this paper.
Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:10:09.649419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 34fc4337-54fc-4a8c-80bb-c3e27c3bfacf · inbound
Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs cites this paper.
Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T02:46:18.964816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3e197222-df1c-4731-8a6e-336e0d62b2a4 · inbound
When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy cites this paper.
When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:52:22.171580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.