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Paper Citation Record · LEDGER

Integrating Present and Past in Unsupervised Continual Learning

As of 17 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.

pith.paper-citation-record.v1
2404.19132 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:52.948105Z

measured 0 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-10T17:24:35.400783Z digest=sha256:c477feff7d24d343600a8e7174ade64d68958c42df80e835dfb3f3a3cd4dcdb5

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.

source=pdf_text observed=2026-08-15T20:51:52.948105Z digest=sha256:5ca3a0d317471f54066a82a9ba38f49b58011551977792d8b22487629ecefa8b

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.

source=arxiv_source observed=2026-08-07T13:55:27.989875Z digest=sha256:717e594e27a35bd1ab4cc86b944816a3d43ca227d4e413b27e20f3d3525118db

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T11:35:24.969197Z digest=sha256:f092fe0a82e19f5cfd3e16d4b0592472a56b11ad7a3c1ac408f8b07be3a59a90

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T06:40:26.958891Z digest=sha256:e760c885a6296af9a5b8ae78ff1f61a25ced92f7de23fe81bcc0a76cf199938b