Paper Citation Record · LEDGER

SelectiveNet: A Deep Neural Network with an Integrated Reject Option

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1901.09192.

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

pith.paper-citation-record.v1
1901.09192 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:45:27.570186Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

62
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3ce62820-4429-4b49-846a-c090f99a9b98 · inbound

Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare cites this paper.

Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare SelectiveNet: A Deep Neural Network with an Integrated Reject Option

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:17:34.351217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b247e7e7-9fb6-4240-ab9d-8288fcb80188 · inbound

Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication cites this paper.

Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication SelectiveNet: A Deep Neural Network with an Integrated Reject Option

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:11:57.260734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ddbcc5a7-14a4-47bd-b2ed-6abf895e78d6 · inbound

A Joint Finite-Sample Certificate for Adaptive Selective Conformal Risk Control cites this paper.

A Joint Finite-Sample Certificate for Adaptive Selective Conformal Risk Control SelectiveNet: A Deep Neural Network with an Integrated Reject Option

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:37:26.408691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94e2ea8a-baa5-43a8-87db-c24cd3ee790a · inbound

Strategic Decision Support for AI Agents cites this paper.

Strategic Decision Support for AI Agents SelectiveNet: A Deep Neural Network with an Integrated Reject Option

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:37:56.433302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c47946d9-52c0-4cc5-901d-c33c645860c3 · inbound

AURA: Adaptive Uncertainty-aware Refinement for LLM-as-a-Judge Auditing cites this paper.

AURA: Adaptive Uncertainty-aware Refinement for LLM-as-a-Judge Auditing SelectiveNet: A Deep Neural Network with an Integrated Reject Option

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-04T05:39:40.105721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8a503257-4458-4f8e-9879-aed86ca84303 · inbound

Metadata Reconstruction from Values Alone: Recovering Column Semantics in Undocumented Warehouses cites this paper.

Metadata Reconstruction from Values Alone: Recovering Column Semantics in Undocumented Warehouses SelectiveNet: A Deep Neural Network with an Integrated Reject Option

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T00:45:27.570186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.