Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.12391.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T22:28:42.159543Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T12:47:54.069728Z
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 1c09dd53-1925-487e-8d25-1536867c40b0 · inbound
Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs cites this paper.
Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:28:42.159543Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e28b3eb6-885f-4703-8b0f-8f1ef5b1f089 · inbound
PipeWeave: Synergizing Analytical and Learning Models for Unified GPU Performance Prediction cites this paper.
PipeWeave: Synergizing Analytical and Learning Models for Unified GPU Performance Prediction vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T12:47:54.071967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.