Paper Citation Record · LEDGER

Memory Replay with Data Compression for Continual Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2202.06592.

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

pith.paper-citation-record.v1
2202.06592 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:55.410798Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:20:58.171312Z

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 666b6599-a291-4faf-810b-8f7d39a6f64c · inbound

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture cites this paper.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Memory Replay with Data Compression for Continual Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:55.410798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd9f6408-b5e7-457f-8e91-25fdf32a0682 · inbound

Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse cites this paper.

Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Memory Replay with Data Compression for Continual Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:23.547795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d0311ef-7fcf-4116-bc31-4cf91241df42 · inbound

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning cites this paper.

MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Memory Replay with Data Compression for Continual Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:30:52.261293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e941d88-868d-4285-a205-077db643cdda · inbound

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization cites this paper.

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization Memory Replay with Data Compression for Continual Learning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:56.903838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83fc7421-0449-4841-b339-a0e23d07b602 · inbound

Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning cites this paper.

Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning Memory Replay with Data Compression for Continual Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:20:58.175644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71994171-057e-4f70-af92-dfa89617b793 · inbound

InfoDense: Density-Aware Regional Decisive Replay for Memory-Efficient Incremental Face Forgery Detection cites this paper.

InfoDense: Density-Aware Regional Decisive Replay for Memory-Efficient Incremental Face Forgery Detection Memory Replay with Data Compression for Continual Learning

Reference 192

Resolution: unresolved; no resolver link, observed 2026-08-01T19:47:45.276793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.