Paper Citation Record · LEDGER

Open-world machine learning: A review and new outlooks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.01759.

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

pith.paper-citation-record.v1
2403.01759 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:58.638555Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:47:03.312681Z

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 f5ca3be6-f7eb-4894-9654-c4ebb1f9d25e · inbound

Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry cites this paper.

Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry Open-world machine learning: A review and new outlooks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T23:15:09.333496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 946ad892-4e95-42f5-b6ea-29039d639dbc · inbound

Evolution and The Knightian Blindspot of Machine Learning cites this paper.

Evolution and The Knightian Blindspot of Machine Learning Open-world machine learning: A review and new outlooks

Reference 218

Resolution: unresolved; no resolver link, observed 2026-08-10T16:30:10.388619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6fdc773-6a66-4a87-8b78-ffa22acb5315 · inbound

TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data cites this paper.

TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data Open-world machine learning: A review and new outlooks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:58.638555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3d537b7-eb23-4b37-9096-ea2fef80e015 · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Open-world machine learning: A review and new outlooks

Reference 275

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:38.423298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 626f395c-45cd-4b07-8466-755cdb1cb206 · inbound

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training cites this paper.

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training Open-world machine learning: A review and new outlooks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:27.458692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24833180-1a02-47e6-87ef-d3f2fd89d5bb · inbound

Multilingual Coreference Resolution via Cycle-Consistent Machine Translation cites this paper.

Multilingual Coreference Resolution via Cycle-Consistent Machine Translation Open-world machine learning: A review and new outlooks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:36:48.619428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b493753-a88f-4b78-b051-e57c4ef9de1c · inbound

Identifying Latent Concepts and Structures for Generalized Category Discovery cites this paper.

Identifying Latent Concepts and Structures for Generalized Category Discovery Open-world machine learning: A review and new outlooks

Reference 170

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:47:03.314095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.