Paper Citation Record · LEDGER

Coverage-centric Coreset Selection for High Pruning Rates

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2210.15809.

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

pith.paper-citation-record.v1
2210.15809 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:55:17.642708Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:28:52.591114Z

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 29b8f116-d98c-4bf7-b498-a4294d758b08 · inbound

Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty cites this paper.

Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty Coverage-centric Coreset Selection for High Pruning Rates

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T16:55:17.642708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da884035-96d9-469c-a374-9389e8013c92 · inbound

Extending Dataset Pruning to Object Detection: A Variance-based Approach cites this paper.

Extending Dataset Pruning to Object Detection: A Variance-based Approach Coverage-centric Coreset Selection for High Pruning Rates

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:13.532165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3990c533-352a-4c60-a394-81ed3c9993ea · inbound

Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection cites this paper.

Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection Coverage-centric Coreset Selection for High Pruning Rates

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:29.686357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bc69678-e40c-4db1-8a00-1c76da808f4d · inbound

Surprisingly High Redundancy in Electronic Structure Data Across Materials Explained by Low Intrinsic Dimensionality cites this paper.

Surprisingly High Redundancy in Electronic Structure Data Across Materials Explained by Low Intrinsic Dimensionality Coverage-centric Coreset Selection for High Pruning Rates

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:42:58.746986Z

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 674260a7-b5ff-42bc-9d39-00cdaec04f00 · inbound

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning cites this paper.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Coverage-centric Coreset Selection for High Pruning Rates

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:58.368301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17cb91fd-1eb1-4fd6-a441-1d73d27125ff · inbound

Omnimodal Dataset Distillation via High-order Proxy Alignment cites this paper.

Omnimodal Dataset Distillation via High-order Proxy Alignment Coverage-centric Coreset Selection for High Pruning Rates

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:05:59.676700Z

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 0307d814-f7d4-4026-8054-8b84c3519b3b · inbound

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization cites this paper.

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization Coverage-centric Coreset Selection for High Pruning Rates

Reference 87

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T05:30:57.899850Z

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 5ec4baaf-6569-413e-bd8d-879b8259a37c · 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 Coverage-centric Coreset Selection for High Pruning Rates

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T22:05:05.658603Z

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 a3f2c3d3-6680-45c4-a64f-0033c0221f77 · inbound

Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? cites this paper.

Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? Coverage-centric Coreset Selection for High Pruning Rates

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:28:52.594665Z

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 724f1912-2e1e-43c8-8302-600676d3df1e · inbound

A Coreset Selection Framework with Ensemble Aggregation for Image Classification cites this paper.

A Coreset Selection Framework with Ensemble Aggregation for Image Classification Coverage-centric Coreset Selection for High Pruning Rates

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T05:24:51.424634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.