Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Modern Distributed Data-Parallel Large-Scale Pre-training Strategies For NLP models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.06356.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:08:33.686370Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T18:16:14.067578Z
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 45fa7540-30dd-4905-a29e-110b67cda58b · inbound
Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging cites this paper.
Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Modern Distributed Data-Parallel Large-Scale Pre-training Strategies For NLP models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:08:33.686370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b4ec38d-0618-4713-ad7f-e26e52eea656 · inbound
Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language cites this paper.
Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language Modern Distributed Data-Parallel Large-Scale Pre-training Strategies For NLP models
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T14:50:57.550867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.