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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:59c353f78ebf129d255f7db6e9b1d44fd2c4b527d16e4f6350c5f936b8737db7

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=sha256:6b763a501d97d5b6c4fbeba0df8554b3a05305cef1c036c7dc8438e83e38f601

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