Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Optimizing RLHF Training for Large Language Models with Stage Fusion
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.13221.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T00:27:31.339782Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T10:13:17.822899Z
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 bd235248-6bf8-43ea-897d-882615fe9250 · inbound
InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers cites this paper.
InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers Optimizing RLHF Training for Large Language Models with Stage Fusion
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:27:31.339782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdaff5c4-cb20-4e3e-bf71-6da010ba40a2 · inbound
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library cites this paper.
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library Optimizing RLHF Training for Large Language Models with Stage Fusion
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:02:33.069126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d98d3fa4-f2fb-43bc-8624-4a5357486934 · inbound
AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training cites this paper.
AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Optimizing RLHF Training for Large Language Models with Stage Fusion
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:50:27.321310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2dc9d4be-4caa-4da0-98d4-aa11b890e697 · inbound
RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs cites this paper.
RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs Optimizing RLHF Training for Large Language Models with Stage Fusion
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:30:55.229732Z
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 a2ee8e4c-a15e-4815-8bd3-9b4174463735 · inbound
SiDP: Memory-Efficient Data Parallelism for Offline LLM Inference cites this paper.
SiDP: Memory-Efficient Data Parallelism for Offline LLM Inference Optimizing RLHF Training for Large Language Models with Stage Fusion
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T10:13:17.824293Z
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.