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Paper Citation Record · LEDGER

High-Probability Risk Bounds via Sequential Predictors

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.07588.

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

pith.paper-citation-record.v1
2308.07588 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T16:24:36.526558Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T16:26:20.730594Z

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 f04b4266-7239-4254-8315-7aab5b7c71e1 · inbound

Efficient Logistic Regression with Mixture of Sigmoids cites this paper.

Efficient Logistic Regression with Mixture of Sigmoids High-Probability Risk Bounds via Sequential Predictors

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:48:15.639391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T20:44:14.244744Z digest=sha256:9cb499143c4c07d519f037276eede26c4d0dfb718731a1d86bcb38b83b86758e

Observation 5dbd4656-b9a8-497f-85ef-80bc19e82c8b · inbound

Gradient-free stochastic optimization of derivatives under strong convexity cites this paper.

Gradient-free stochastic optimization of derivatives under strong convexity High-Probability Risk Bounds via Sequential Predictors

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-07-09T16:26:20.731890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-09T16:24:36.526558Z digest=sha256:28be7449fc3cbf8226c0a3f25a5a546b97a10cd2b92a2782b9498ea594ed4bd2