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Paper Citation Record · LEDGER

Continual Learning in Linear Classification on Separable Data

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.03534.

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

pith.paper-citation-record.v1
2306.03534 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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:59:32.914825Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T23:04:17.732952Z

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 eb9632cc-3428-4ef6-b146-b27fb05a8cde · inbound

Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning cites this paper.

Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning Continual Learning in Linear Classification on Separable Data

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T04:59:32.914825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:59:32.914825Z digest=sha256:5f9465fb20ef9bfca5632487b708e13e86f5c44bbd76b00cfecdfa7e6070ef1c

Observation 2fdff62f-f328-40e3-9ad7-2608599a7aa0 · inbound

Fine-Tuning Regimes Define Distinct Continual Learning Problems cites this paper.

Fine-Tuning Regimes Define Distinct Continual Learning Problems Continual Learning in Linear Classification on Separable Data

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:04:17.734638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T23:02:19.128635Z digest=sha256:1a5eafec34129aa3bff7bc0d9c1219469d5a77087b9b3e2f691413542c64e90d

Observation a180ec38-27bf-4df5-add9-0d44eec8b646 · inbound

Fine-Tuning Regimes Define Distinct Continual Learning Problems cites this paper.

Fine-Tuning Regimes Define Distinct Continual Learning Problems Continual Learning in Linear Classification on Separable Data

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-12T18:36:06.754809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T18:36:06.754809Z digest=sha256:417c21499f4f6a42f2ebc2a85e35bfa86df446bedb74cc78cec03fd9116823bb