Paper Citation Record · LEDGER

Optimal Rates for Learning with Monotone Adversaries

As of 16 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2608.06337.

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

pith.paper-citation-record.v1
2608.06337 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:19:29.529771Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:35:04.251947Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:35:04.585293Z

Reference resolution

8 of 8 outbound references displayed

verified exact0
verified fuzzy7
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ad3787b-d047-4dc3-af77-ee66bc75e4bd · outbound

This paper cites The Optimal Sample Complexity of PAC Learning.

Optimal Rates for Learning with Monotone Adversaries The Optimal Sample Complexity of PAC Learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:29.613862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f75b6f96-40c9-405c-af93-d452147323e7 · outbound

This paper cites PMLR, 2016, pp.

Optimal Rates for Learning with Monotone Adversaries PMLR, 2016, pp

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:29.663462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6fe64d4b-f767-4177-a57f-2a6e96e0b195 · outbound

This paper cites Learning in an Echo Chamber: Online Learning with Replay Adversary.

Optimal Rates for Learning with Monotone Adversaries Learning in an Echo Chamber: Online Learning with Replay Adversary

Reference 134

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:29.630293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d21716a-a9b4-4c49-8b95-27d56abb97e8 · outbound

This paper cites Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm.

Optimal Rates for Learning with Monotone Adversaries Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm

Reference 195

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:29.597317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c1572a63-0cb6-401a-a379-fe236ebb01c9 · outbound

This paper cites Partitioning and Geometric Embedding of Range Spaces of Finite Vapnik–Chervonenkis Dimension.

Optimal Rates for Learning with Monotone Adversaries Partitioning and Geometric Embedding of Range Spaces of Finite Vapnik–Chervonenkis Dimension

Reference 247

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:29.680082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 24b4dfd2-5973-415b-a8a2-58240add9b89 · outbound

This paper cites How Robust are Reconstruction Thresholds for Community Detection?.

Optimal Rates for Learning with Monotone Adversaries How Robust are Reconstruction Thresholds for Community Detection?

Reference 313

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:29.581988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b4d8de35-91e8-4a16-8cba-335628a8a664 · outbound

This paper cites 2 Notes on Classes with Vapnik-Chervonenkis Dimension 1.

Optimal Rates for Learning with Monotone Adversaries 2 Notes on Classes with Vapnik-Chervonenkis Dimension 1

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:29.502696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba2f80c-3526-419b-9731-7b4f94bc39cd · outbound

This paper cites Robust Learning under Clean-Label Attack.

Optimal Rates for Learning with Monotone Adversaries Robust Learning under Clean-Label Attack

Reference 2026

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:29.646555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 0e0fcc7d-6ac6-44cc-beed-a60ad7cfa42d · inbound

Bagging Robustly Learns VC Classes with Linear Sample Complexity cites this paper.

Bagging Robustly Learns VC Classes with Linear Sample Complexity Optimal Rates for Learning with Monotone Adversaries

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:35:04.589905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.