Paper Citation Record · LEDGER

Effective pruning of web-scale datasets based on complexity of concept clusters

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.04578.

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

pith.paper-citation-record.v1
2401.04578 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:11.026582Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:17:24.195093Z

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 0d4431bd-4013-4b3e-99c0-dfcc35429797 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Effective pruning of web-scale datasets based on complexity of concept clusters

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:11.026582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b1ab1d7-d169-41db-98aa-fcad646ef059 · inbound

AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training cites this paper.

AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training Effective pruning of web-scale datasets based on complexity of concept clusters

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:05:16.387914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8066dc3e-8748-4e57-b3bc-5a27ea86a4ce · inbound

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs cites this paper.

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs Effective pruning of web-scale datasets based on complexity of concept clusters

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:43.267479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0d61e45-bef0-45f6-9fda-8a2c98910173 · inbound

Exploring and Exploiting Stability in Latent Flow Matching cites this paper.

Exploring and Exploiting Stability in Latent Flow Matching Effective pruning of web-scale datasets based on complexity of concept clusters

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:01:30.653091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2cf87d8-dcb7-4dc4-be6a-62b08b5553db · inbound

Exploring and Exploiting Stability in Latent Flow Matching cites this paper.

Exploring and Exploiting Stability in Latent Flow Matching Effective pruning of web-scale datasets based on complexity of concept clusters

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:35:46.987114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df5a471e-f420-436d-b2d9-0a264d9bd611 · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models Effective pruning of web-scale datasets based on complexity of concept clusters

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:35:48.885503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1dbb84d9-7d5f-4521-8f1f-2e2488615cc7 · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models Effective pruning of web-scale datasets based on complexity of concept clusters

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:17:24.196571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5102bbca-3efa-42be-ad98-6c3fcb2d8602 · inbound

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting cites this paper.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Effective pruning of web-scale datasets based on complexity of concept clusters

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.