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Paper Citation Record · LEDGER

Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.16248.

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

pith.paper-citation-record.v1
2410.16248 v1

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 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:00:02.960990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:06:11.748692Z

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 0e24f53e-0a33-44a5-be80-2731d9721742 · inbound

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields cites this paper.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T14:00:02.960990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:00:02.960990Z digest=sha256:11e7ae538941784011f0e2a4234ff94fb44124f67efd2875ef3d2225b12dbf5e

Observation 67da4b60-5ac1-4eac-95e6-1371f45a9679 · inbound

A linear PDF model for Bayesian inference cites this paper.

A linear PDF model for Bayesian inference Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:17:01.133413Z

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=2026-05-19T03:14:03.683895Z digest=sha256:1ed9cc440f34fcdcd47c2dd75b33e970a9b3b3d23390846e9b490d01fad1eccb

Observation 66f81fef-c95f-4e90-bb8e-cf82902798dd · inbound

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model cites this paper.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:06:11.750162Z

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=2026-06-28T21:42:33.450340Z digest=sha256:8683136e76a4ec141f1aaa0094ad229d52d5467288f00352064d8d0db92e30d7

Observation e6a192c6-2f25-441d-a4dd-58e8ca5491ee · inbound

Interpreting Parton Distributions with Shapley Values cites this paper.

Interpreting Parton Distributions with Shapley Values Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-12T07:57:20.566670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:57:20.566670Z digest=sha256:c6df5af2c68a3ad2bd5ced3aec0daa463623157f3341ead6d313d570f644e595

Observation 63285cfa-f376-4e9d-abf1-f612b2c7a4f5 · inbound

Global analyses of helicity-dependent parton distribution functions cites this paper.

Global analyses of helicity-dependent parton distribution functions Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure

Reference 126

Resolution
unresolved
no resolver link, observed 2026-07-31T10:42:20.453062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T10:42:20.453062Z digest=sha256:ae5d1c52976a687165f15e954c242113c965db7a52300c8836e8f6e727a82e79