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Paper Citation Record · LEDGER

Class-incremental learning: survey and performance evaluation on image classification

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.15277.

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

pith.paper-citation-record.v1
2010.15277 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:26:58.177057Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:24:01.963199Z

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 707c56e3-b4d0-4e63-81ed-1488a849f533 · inbound

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting cites this paper.

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Class-incremental learning: survey and performance evaluation on image classification

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T14:26:58.177057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:26:58.177057Z digest=sha256:887f4b43ebe568fbb53a46ef7406504e93cbcf5b4199f89e7e1f67aaa5452eec

Observation 6fedd7cd-adb1-4d5d-a548-36f552b37058 · inbound

What is the role of memorization in Continual Learning? cites this paper.

What is the role of memorization in Continual Learning? Class-incremental learning: survey and performance evaluation on image classification

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:59.749145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:59.749145Z digest=sha256:b489057423f9995ab4b3ee071fab189d6779a342baecf08104c28051e8c64776

Observation 0741d548-84d7-409d-8475-9548debf62b3 · inbound

MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models cites this paper.

MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models Class-incremental learning: survey and performance evaluation on image classification

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T22:32:17.657848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:32:17.657848Z digest=sha256:9ed60f4c549d7700f90c4a2f0ea1c5abe08f01086a4bd62bd594b7c0ac68cf07

Observation 314693eb-a852-4e72-aa9a-0726ae458278 · inbound

Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay cites this paper.

Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay Class-incremental learning: survey and performance evaluation on image classification

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:24:01.964547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T23:15:45.174086Z digest=sha256:0bc76697cd3de17f224b5e6dd9c49029fe37999b8af3a275bba0095279c6b5cf