Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Continual Learning in Neural Networks
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.02718.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:21:15.650251Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T08:43:15.246451Z
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 f0de0998-1ab6-4feb-b11c-0aca837bbcb8 · inbound
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay cites this paper.
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay Continual Learning in Neural Networks
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:21:15.650251Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff4442c7-b7c5-4b0f-8255-472c519d4e1a · inbound
HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning cites this paper.
HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning Continual Learning in Neural Networks
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:36:15.203033Z
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 2eb98f2c-7c25-4336-9f98-a1968e8d4324 · inbound
Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention cites this paper.
Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention Continual Learning in Neural Networks
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:43:15.247899Z
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.