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Paper Citation Record · LEDGER

Cramming: Training a Language Model on a Single GPU in One Day

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.14034.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2212.14034 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:21:41.370422Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-24T05:33:56.711981Z

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 d53bd4d0-1f22-4a01-b6cb-fc25458889be · inbound

DA-Cramming: Enhancing Cost-Effective Language Model Pretraining with Dependency Agreement Integration cites this paper.

DA-Cramming: Enhancing Cost-Effective Language Model Pretraining with Dependency Agreement Integration Cramming: Training a Language Model on a Single GPU in One Day

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:33:56.714845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-24T05:31:30.519530Z digest=sha256:19eefb107a49fdf0d3594c4ce9e483597456106a323e76c9bab629ee79e0c306

Observation 2f3a4f28-037c-4965-83ee-15a870f84137 · inbound

BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP cites this paper.

BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP Cramming: Training a Language Model on a Single GPU in One Day

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:21:41.370422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:21:41.370422Z digest=sha256:a4a8fef03e28869afb16640f91970c268f85f5fd30c16ea0f427be8222bf6812