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Paper Citation Record · LEDGER

Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.04522.

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

pith.paper-citation-record.v1
1910.04522 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:05:32.408604Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:04:44.647064Z

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 8c70f032-8565-4901-95d9-cd9a2a734e6d · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

Reference 270

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:04:44.649057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:3ad02107c70950b55fdb9d76065b41892cfedade1c37cfd2462843c551d970c4

Observation c3dc0bfd-0805-4dc7-8c6e-70156af08052 · inbound

Gradient Flow Matching for Learning Update Dynamics in Neural Network Training cites this paper.

Gradient Flow Matching for Learning Update Dynamics in Neural Network Training Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T14:05:32.408604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:05:32.408604Z digest=sha256:c2513cb0199af349cdf80676c53430b4c9f643f02783f172e8b1d00a164d5642

Observation f2d8515e-2c6b-4839-8602-98daed0520dc · inbound

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks cites this paper.

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:08.180763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:08.180763Z digest=sha256:060af091c55cd0ceb22049899392b165dc12b715039f405500a1cfe4df33c28a