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Paper Citation Record · LEDGER

Survival Multiarmed Bandits with Bootstrapping Methods

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.16486.

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

pith.paper-citation-record.v1
2410.16486 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:13:59.361814Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:10:47.555517Z

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 292b06f4-1f3b-46c6-b266-516ad8bf5173 · inbound

Computable Bounds for Strong Approximations with Applications cites this paper.

Computable Bounds for Strong Approximations with Applications Survival Multiarmed Bandits with Bootstrapping Methods

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:10:47.557508Z

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=pdf_text observed=2026-05-22T00:05:53.938267Z digest=sha256:210df6a7079562b40fc62ccdad814b8987c389370e917162815fadae30e1a30e

Observation 96a77237-fb32-45ed-8ebd-a93bdd308137 · inbound

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations cites this paper.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Survival Multiarmed Bandits with Bootstrapping Methods

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T04:13:59.361814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:13:59.361814Z digest=sha256:5b92b8f862a1e17a6a1fc9c30778cc4dc5178a4d751c82f3f8e1df59c53928a5