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Paper Citation Record · LEDGER

Machine Learning with a Reject Option: A survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2107.11277.

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

pith.paper-citation-record.v1
2107.11277 v3

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:35:39.503749Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:55:40.140387Z

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 6dc1997f-8191-423c-b387-0249d5bb5556 · inbound

Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning cites this paper.

Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning Machine Learning with a Reject Option: A survey

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:39.503749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:35:39.503749Z digest=sha256:caedba20c8456bf450bbcf7245f90583f46b6300114107e3c261846b97185bc2

Observation 5294b28f-0947-4e2f-9482-2e1539964ee8 · inbound

Polyra Swarms: A Shape-Based Approach to Machine Learning cites this paper.

Polyra Swarms: A Shape-Based Approach to Machine Learning Machine Learning with a Reject Option: A survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:19.800537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:19.800537Z digest=sha256:449dc1ff488fc9abf64c92cede53042980bff0020adf8c861e925473e93d65a4

Observation 7f35b16c-0fc0-4bbe-973a-b72ab5219827 · inbound

Clustered Calibration: Representation-Aware Probability Calibration via Learned Subpopulations cites this paper.

Clustered Calibration: Representation-Aware Probability Calibration via Learned Subpopulations Machine Learning with a Reject Option: A survey

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T08:46:36.807955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:46:36.807955Z digest=sha256:3ab6c464492c2bb1b22395d7562731fca0b317362acfe93ce745fa12613d5015

Observation dd9c4246-bdbe-4da3-94e7-87cee3e151c5 · inbound

SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation cites this paper.

SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation Machine Learning with a Reject Option: A survey

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:22:09.021301Z

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=pdf_text observed=2026-05-17T22:20:32.857882Z digest=sha256:742e60a7f0c117945a2f1949f11437d47ece42d829eb8067733e658fbbf476e8

Observation b26c5238-6731-4667-b0bd-8bda50ad6bbd · inbound

Expected Gain-based Escalation in Vertical Federated Learning cites this paper.

Expected Gain-based Escalation in Vertical Federated Learning Machine Learning with a Reject Option: A survey

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:55:40.142462Z

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=pdf_text observed=2026-07-01T06:09:52.967421Z digest=sha256:a2f306d9da40d0472fa6159ec74b4766ec3030bf1cc388fe2aae45b3457f988a

Observation e5342e89-ad64-44ff-9851-fab61e5765ef · inbound

Removable Defects: The Economics and Limits of Deliberate Deficiency cites this paper.

Removable Defects: The Economics and Limits of Deliberate Deficiency Machine Learning with a Reject Option: A survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T07:00:25.920267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:00:25.920267Z digest=sha256:7042764e13e2c0d73483350e1af93e752341e0c98a20e3acfb80fc512f9acb76