Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2001.00106.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:34:09.588286Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:21:07.919745Z
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 8acabaeb-2870-4741-9e5f-3fac2d6b7f18 · inbound
Fundus Image-based Visual Acuity Assessment with PAC-Guarantees cites this paper.
Fundus Image-based Visual Acuity Assessment with PAC-Guarantees PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:34:09.588286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09bfcdc1-5fca-4cc9-a86b-c09a46cf2596 · inbound
Position: There Is No Free Bayesian Uncertainty Quantification cites this paper.
Position: There Is No Free Bayesian Uncertainty Quantification PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:04:05.725202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ae3706b-c05a-45f3-9f85-fcdfcb51f57c · inbound
How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation cites this paper.
How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:21:07.922572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c4d3bc2e-cb90-4829-b4e2-1da8e8550840 · inbound
How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation cites this paper.
How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:49:16.355894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.