Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Order parameters and phase transitions of continual learning in deep neural networks
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.10315.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T11:19:07.009634Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T22:16:16.805614Z
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 1999f3c4-7eef-4eee-8d95-79d2ad4bc88e · inbound
Adaptive kernel predictors from feature-learning infinite limits of neural networks cites this paper.
Adaptive kernel predictors from feature-learning infinite limits of neural networks Order parameters and phase transitions of continual learning in deep neural networks
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:19:07.009634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a395281-ea69-439a-831d-48ed3f1053fd · inbound
Replay Can Provably Increase Forgetting cites this paper.
Replay Can Provably Increase Forgetting Order parameters and phase transitions of continual learning in deep neural networks
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:42.115815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6c319e7-50f3-4aa4-a436-b51d324a83ea · inbound
A statistical physics framework for optimal learning cites this paper.
A statistical physics framework for optimal learning Order parameters and phase transitions of continual learning in deep neural networks
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:39:39.875669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fdf44c3-d3e9-409c-a058-565d49fcd570 · inbound
Microscopic and collective signatures of feature learning in neural networks cites this paper.
Microscopic and collective signatures of feature learning in neural networks Order parameters and phase transitions of continual learning in deep neural networks
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:46:58.319445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 810a9f18-6ece-4287-bcce-f7a8d7a790f5 · inbound
Continual Learning as a Multiphase Moving-Boundary Problem cites this paper.
Continual Learning as a Multiphase Moving-Boundary Problem Order parameters and phase transitions of continual learning in deep neural networks
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:16:16.807267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.