Paper Citation Record · LEDGER

Online Coreset Selection for Rehearsal-based Continual Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2106.01085.

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

pith.paper-citation-record.v1
2106.01085 v4

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:48.863915Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T22:05:05.671036Z

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 9ce17eac-2fb6-481e-95d2-a82e85c84fb5 · inbound

Data-Distill-Net: A Data Distillation Approach Tailored for Reply-based Continual Learning cites this paper.

Data-Distill-Net: A Data Distillation Approach Tailored for Reply-based Continual Learning Online Coreset Selection for Rehearsal-based Continual Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:48.863915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3d1403a-4100-4083-8a74-f78e5ca80e52 · inbound

ErrorEraser: Unlearning Data Bias for Improved Continual Learning cites this paper.

ErrorEraser: Unlearning Data Bias for Improved Continual Learning Online Coreset Selection for Rehearsal-based Continual Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:52.623988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de10110-13f2-4611-8ad9-686e2bc499f8 · inbound

\emph{FoQuS}: A Forgetting-Quality Coreset Selection Framework for Automatic Modulation Recognition cites this paper.

\emph{FoQuS}: A Forgetting-Quality Coreset Selection Framework for Automatic Modulation Recognition Online Coreset Selection for Rehearsal-based Continual Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T20:52:17.085382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbd89b62-57ff-4fc8-9d30-3873a276d5e1 · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning Online Coreset Selection for Rehearsal-based Continual Learning

Reference 138

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:06:19.199522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a996074f-41c9-48b9-8365-b3369bc015e1 · inbound

Bridging Data Trials and Task Barriers: A Unified Framework for Sketch Biometric Identification cites this paper.

Bridging Data Trials and Task Barriers: A Unified Framework for Sketch Biometric Identification Online Coreset Selection for Rehearsal-based Continual Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:28:18.892566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 361a7f57-2758-4c76-a906-b988204f6e89 · inbound

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning cites this paper.

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning Online Coreset Selection for Rehearsal-based Continual Learning

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T22:05:05.673118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.