Paper Citation Record · LEDGER

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.09768.

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

pith.paper-citation-record.v1
2608.09768 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:17:46.056946Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact2
verified fuzzy3
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c1aaa02-369c-4d2d-b454-b1f18252322c · outbound

This paper cites Reassessing how to compare and improve the calibration of machine learning models.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning Reassessing how to compare and improve the calibration of machine learning models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:17:46.393519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 789f574b-757d-4f38-b589-c67d2002e11a · outbound

This paper cites Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:17:46.335148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a70e3a93-e8ef-4e87-b540-a33319d78553 · outbound

This paper cites Deep Anomaly Detection with Outlier Exposure.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning Deep Anomaly Detection with Outlier Exposure

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T11:17:46.030482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 927ca3d9-31af-4cb3-98cb-9314cb536cd7 · outbound

This paper cites Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, and Simon Lacoste-Julien.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, and Simon Lacoste-Julien

Reference 10

Resolution: malformed identifier; no resolver link, observed 2026-08-11T11:17:46.041853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85bc16af-d34a-4883-b1f3-f44fc340378a · outbound

This paper cites an unresolved cited work.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning Unresolved cited work

Reference 1994

Resolution: unresolved; no resolver link, observed 2026-08-11T11:17:46.051063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e791da14-a5e9-4084-9b74-c46a33d51f4d · outbound

This paper cites Hans Hofmann.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning Hans Hofmann

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-11T11:17:46.046810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaf805ac-7d6a-4a61-80b4-9de902e5d936 · outbound

This paper cites A Appendix This part presents some useful properties of the Geletu-Hoffman parametric function.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning A Appendix This part presents some useful properties of the Geletu-Hoffman parametric function

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-11T11:17:46.056946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 521bc816-de64-4527-98f2-1e3ec6667ef8 · outbound

This paper cites URLhttps://doi.org/10.1137/15M1049750.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning URLhttps://doi.org/10.1137/15M1049750

Reference 2017

Resolution: verified exact; doi, observed 2026-08-11T11:17:46.111009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 960230e9-9540-4642-a145-93f90ce9290b · outbound

This paper cites Non-exchangeable conformal risk control.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning Non-exchangeable conformal risk control

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:17:46.365525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1083201-4fe7-44d2-a9cd-6588f299ce7a · outbound

This paper cites Conformal risk control.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning Conformal risk control

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:17:46.379471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce9f7b60-e92c-4a14-888e-802149830ed0 · outbound

This paper cites Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T11:17:46.000317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49dea8c-e8ae-407f-8081-ac81899e6853 · outbound

This paper cites doi: https://doi.org/10.1016/j.cor.2024.106755.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning doi: https://doi.org/10.1016/j.cor.2024.106755

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T11:17:46.036300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f65a82f-2c81-4c37-aae0-7898381893ec · outbound

This paper cites URL https://www.sciencedirect.

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning URL https://www.sciencedirect

Reference 8320

Resolution: unresolved; no resolver link, observed 2026-08-11T11:17:45.994274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.