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Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T08:12:18.373103Z

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 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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T01:23:17.812123Z digest=sha256:c05a7a38b9943a2f8af02a641335961e2e16187196c04f6f4e930acbea3c7b74

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T22:53:43.702679Z digest=sha256:c019ae39a20b386225e5d604fc2ebffc9356cae6360886f581db87781b1a1ae0

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T01:16:16.834861Z digest=sha256:12f333b95165ae84694314dc1a10a7b7e8126735b5373dd4cfc3aae3e6466a76

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T21:10:10.548489Z digest=sha256:e0927cb5b8422b11f5df54ccc1de5e2bbe3780c154a20f55544b36f005c4f2dd

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.

source=pdf_text observed=2026-07-12T08:12:18.373103Z digest=sha256:a271106fc2a9357a2b84061bd9e7d5d6213c5363374c7e8d80d3dac1025c9ffc