Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.04610.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:37:58.427111Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T11:38:43.814682Z
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 ce684d0b-3562-45f5-b85b-9f45855dd1a3 · inbound
7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement cites this paper.
7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
Reference 139
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:27:18.528712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44ec781c-8038-45d1-bd21-b99c24a7c05b · inbound
Generative AI Uses and Risks for Knowledge Workers in a Science Organization cites this paper.
Generative AI Uses and Risks for Knowledge Workers in a Science Organization DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T12:12:25.441250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce9ea7f7-381d-48ca-ab94-cb46c01aba5f · inbound
MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall cites this paper.
MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:38:43.894727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 23de1fb2-58d3-49ec-9c53-0be202d09fcd · inbound
FlashRecovery: Fast and Low-Cost Recovery from Failures for Large-Scale Training of LLMs cites this paper.
FlashRecovery: Fast and Low-Cost Recovery from Failures for Large-Scale Training of LLMs DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:37:58.427111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.