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Paper Citation Record · LEDGER

A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.04428.

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

pith.paper-citation-record.v1
2210.04428 v2

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:13:19.776005Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:08:18.728959Z

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 9ca236eb-f1f1-401e-ad48-54996f15c4e1 · inbound

Sparse Orthogonal Parameters Tuning for Continual Learning cites this paper.

Sparse Orthogonal Parameters Tuning for Continual Learning A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:08:18.731993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T18:06:35.511653Z digest=sha256:adcd78504c82d8ed33b28d80129f953291ed532be7d49032e1def4b9be7e1a2a

Observation f257c5a3-02fb-4e9f-9e6f-449aa574d7df · inbound

Privacy Leakage via Output Label Space and Differentially Private Continual Learning cites this paper.

Privacy Leakage via Output Label Space and Differentially Private Continual Learning A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:23:15.459200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T17:18:22.300467Z digest=sha256:1c17c30a7ae8e9a3c631f1985cf028a34b7bd05e97702e4c2d86ce3a0d29e202

Observation 5d9efb11-ba89-4eab-821e-f4ace4ae08af · inbound

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions cites this paper.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T04:13:19.776005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:13:19.776005Z digest=sha256:ec70c9f3e826cadc51c94b61cb66e67c5dbe8d1c0d62de92ad093703641b30c3