Paper Citation Record · LEDGER

A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2205.13218.

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

pith.paper-citation-record.v1
2205.13218 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:57:32.009852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:47:30.262121Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 bb85a644-bb9d-470a-9744-e073784aacf8 · inbound

Sparse Orthogonal Parameters Tuning for Continual Learning cites this paper.

Sparse Orthogonal Parameters Tuning for Continual Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:08:18.768054Z

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.

Observation 02bb89ea-0947-465d-a349-079d5457aaf8 · inbound

Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning cites this paper.

Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:47.313886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c6a7f84-2651-46fb-b547-df1c1334cdd5 · inbound

Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning cites this paper.

Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:26.032961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe6341ec-29ba-4198-b434-475652d8e154 · inbound

Knowledge Swapping via Learning and Unlearning cites this paper.

Knowledge Swapping via Learning and Unlearning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T10:59:57.168424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7e6edfd-735f-444e-a065-db5476751b16 · inbound

Autoencoder-Based Hybrid Replay for Class-Incremental Learning cites this paper.

Autoencoder-Based Hybrid Replay for Class-Incremental Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T22:57:32.009852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a720d3d-c98c-449d-a4eb-bceebf0e7f95 · inbound

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks cites this paper.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:09.671394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64fd80f3-6896-4a68-9c14-d1706b4e2432 · inbound

Continual Hyperbolic Learning of Instances and Classes cites this paper.

Continual Hyperbolic Learning of Instances and Classes A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:37.743830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 711e7ec4-5d18-4fa3-b3eb-371b263e18e0 · inbound

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cites this paper.

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:06:34.461684Z

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.

Observation 8a326d1b-5fab-4588-b853-329f321a9ae3 · inbound

Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition cites this paper.

Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T16:20:34.061557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f95b71c-4b3d-4681-9e2d-42729f73221f · inbound

CIFNet: An Analytic Neural Learning Framework for Efficient and Calibrated Class-Incremental Learning cites this paper.

CIFNet: An Analytic Neural Learning Framework for Efficient and Calibrated Class-Incremental Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:15.102431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 278522ee-078a-4671-83f6-8d7bd19270ed · inbound

Continual Knowledge Consolidation LORA for Domain Incremental Learning cites this paper.

Continual Knowledge Consolidation LORA for Domain Incremental Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:54.163876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 554e2c0b-0074-41e2-974b-ea7dc969ab7a · inbound

Pushing the Limits of Distillation-Based Continual Learning via Classifier-Proximal Lightweight Plugins cites this paper.

Pushing the Limits of Distillation-Based Continual Learning via Classifier-Proximal Lightweight Plugins A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T01:51:25.582792Z

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.

Observation 5e813287-b6e6-4944-b18f-5b22904e2616 · inbound

Free-Flow Class-Incremental Learning: Towards Robust CIL under Variable Class Arrivals cites this paper.

Free-Flow Class-Incremental Learning: Towards Robust CIL under Variable Class Arrivals A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:58:12.388911Z

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.

Observation f27522fb-ae6f-4309-b9b6-5302d764ff78 · inbound

Memory-Efficient Continual Learning with CLIP Models cites this paper.

Memory-Efficient Continual Learning with CLIP Models A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:41:18.832953Z

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.

Observation cc72b112-560e-4507-b77b-72ddc2074361 · inbound

Online Continual Learning with Dynamic Label Hierarchies cites this paper.

Online Continual Learning with Dynamic Label Hierarchies A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:37:26.788153Z

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.

Observation ce2667a1-4e43-468b-9ad9-dd318f94405e · inbound

Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning cites this paper.

Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:37:26.503861Z

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.

Observation 75d48079-5d3d-475b-9342-a39ce5ae61e6 · inbound

HydraCIL: Decoupled Class-Incremental Learning through Prototype-Guided Multi-Head Classifiers cites this paper.

HydraCIL: Decoupled Class-Incremental Learning through Prototype-Guided Multi-Head Classifiers A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:47:30.264532Z

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.

Observation c6ecb146-2098-4378-97f8-2ac244ad2414 · inbound

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning cites this paper.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:38:06.651374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.