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Paper Citation Record · LEDGER

On Warm-Starting Neural Network Training

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1910.08475.

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

pith.paper-citation-record.v1
1910.08475 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:01:25.667333Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T12:54:29.819473Z

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 016adc7e-6c71-49c0-bb17-cdbd48f0ee09 · inbound

Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations cites this paper.

Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations On Warm-Starting Neural Network Training

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-24T12:54:29.822539Z

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.

source=pdf_text observed=2026-05-24T12:51:30.023610Z digest=sha256:1141b2255f95ede64c56265ee3353d31d4fe86b1360a1185a7d5fe721715114f

Observation 4b3d1b62-b27e-4a4a-aae6-54bec1a9507b · inbound

A unifying framework for generalised Bayesian online learning in non-stationary environments cites this paper.

A unifying framework for generalised Bayesian online learning in non-stationary environments On Warm-Starting Neural Network Training

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T20:01:25.667333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:01:25.667333Z digest=sha256:8b12a2e142bac58ed0a87fc27b0a8024bb3fb674114809b7c25fa99f50ac1711

Observation c9a473e2-8a23-4fac-a070-4a3165506f63 · inbound

PAL -- Parallel active learning for machine-learned potentials cites this paper.

PAL -- Parallel active learning for machine-learned potentials On Warm-Starting Neural Network Training

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T05:29:46.591367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:29:46.591367Z digest=sha256:3ac7c3a474dd1564dca4e7049e8913de6e0462d3592034a7ed9d63d6b2ea20ac

Observation 2d31d695-1fb2-4823-89de-dfcc0dc71dd4 · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference On Warm-Starting Neural Network Training

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-20T17:46:47.127657Z

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.

source=arxiv_source observed=2026-05-20T17:46:46.845424Z digest=sha256:c25a7374554ab3e772d9a020075ea0d819148f2fae56606c1a4f1d39b9f11d78

Observation ed9c9d59-5e49-495c-961c-2af5be4e7484 · inbound

Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization cites this paper.

Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization On Warm-Starting Neural Network Training

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T12:32:19.951110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:32:19.951110Z digest=sha256:17bb2c9b858de5267f2e43fe7be70a1d401639fecf6dd3595dc639476fdff025