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Paper Citation Record · LEDGER

Learning to Grow Pretrained Models for Efficient Transformer Training

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.00980.

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

pith.paper-citation-record.v1
2303.00980 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:35.321589Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T01:46:14.715018Z

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 b4feb1a5-ce67-46aa-962c-446a901e70a7 · inbound

A multilevel approach to accelerate the training of Transformers cites this paper.

A multilevel approach to accelerate the training of Transformers Learning to Grow Pretrained Models for Efficient Transformer Training

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T10:47:35.321589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:35.321589Z digest=sha256:a95881445db2ae25ff291ed710bea8eafaa02929978d2c9d0147c5d9b55f8d64

Observation 8db8fa35-8a6d-4b3f-8eba-d5da0b19b768 · inbound

Steepest Descent Density Control for Compact 3D Gaussian Splatting cites this paper.

Steepest Descent Density Control for Compact 3D Gaussian Splatting Learning to Grow Pretrained Models for Efficient Transformer Training

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T23:09:44.982909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:09:44.982909Z digest=sha256:6f46668cdfe4010abec21f3fd718336f5170299698b2b05c0c9e17464a2cf4fd

Observation 8595f1e0-2b9c-4ad0-88ff-cc4d11557d90 · inbound

A Qualitative Test-Risk Mechanism for Scaling Behavior in Normalized Residual Networks cites this paper.

A Qualitative Test-Risk Mechanism for Scaling Behavior in Normalized Residual Networks Learning to Grow Pretrained Models for Efficient Transformer Training

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:46:14.716685Z

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.

source=pdf_text observed=2026-05-12T01:38:22.676352Z digest=sha256:e876b118e928babca03c2d07c1acea4c3d20a247ea12adcb1277f16741e35444