Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Integrating Present and Past in Unsupervised Continual Learning
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.19132.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:52.948105Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T07:46:46.294141Z
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 27304f67-a02f-424a-8854-951e605ae76a · inbound
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos cites this paper.
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos Integrating Present and Past in Unsupervised Continual Learning
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:24:35.400783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 854c9e11-8cae-41c4-bdab-2aa3fd48c5e5 · inbound
CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection cites this paper.
CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection Integrating Present and Past in Unsupervised Continual Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:51:52.948105Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7758cded-f724-4bf6-ad23-d4ffa070d100 · inbound
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective cites this paper.
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Integrating Present and Past in Unsupervised Continual Learning
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:55:27.989875Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d759ad9-ef48-414a-b694-d8103d3e1f02 · inbound
Re-Evaluating Continual Learning with Few-Shot Adaptation cites this paper.
Re-Evaluating Continual Learning with Few-Shot Adaptation Integrating Present and Past in Unsupervised Continual Learning
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T01:46:26.502836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8e6b5bb3-e582-4ea2-b8be-7151ddf4aca2 · inbound
Continual Visual and Verbal Learning Through a Child's Egocentric Input cites this paper.
Continual Visual and Verbal Learning Through a Child's Egocentric Input Integrating Present and Past in Unsupervised Continual Learning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:46:46.295507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.