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Paper Citation Record · LEDGER

A Statistical Theory of Regularization-Based Continual Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.06213.

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

pith.paper-citation-record.v1
2406.06213 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:55:28.053881Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:30:17.956930Z

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 841e4b44-970f-4f18-937d-a5272f92d427 · inbound

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective cites this paper.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective A Statistical Theory of Regularization-Based Continual Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:28.053881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:55:28.053881Z digest=sha256:34c38982db8d24fb402c2979ec59a95c0f4216b3199baaa4b2398e0b9025affe

Observation 210c02c7-1909-47d0-a70d-592351a00b1f · inbound

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay cites this paper.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay A Statistical Theory of Regularization-Based Continual Learning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:17.582551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:17.582551Z digest=sha256:e7d37a5f8c5cadd8a53e75b0b2a1b4c913cc2da41c8bc9f390fb49b65fcec220

Observation e2fdf69d-4085-4b88-85e7-a94a09cd1474 · inbound

Uncertainty-Weighted Experience Replay for Continual MIMO Channel Prediction cites this paper.

Uncertainty-Weighted Experience Replay for Continual MIMO Channel Prediction A Statistical Theory of Regularization-Based Continual Learning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:30:17.960054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T20:27:25.479441Z digest=sha256:45a8129b91c9cc32d1c9923adb1a98eda8bc15ae301a0c846612dec19d590a40