Paper Citation Record · LEDGER

Distilling the Knowledge in Data Pruning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.07854.

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

pith.paper-citation-record.v1
2403.07854 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:32:04.634823Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:24:55.006479Z

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 c1a1af3a-dad9-4277-a77f-3987bf540094 · inbound

Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression cites this paper.

Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression Distilling the Knowledge in Data Pruning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T15:32:04.634823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a97ad1d0-411b-4220-a3b3-e7e4d010e92a · inbound

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies cites this paper.

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Distilling the Knowledge in Data Pruning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:19.326260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c175c602-79e4-45a8-9a2d-bee05940c722 · inbound

Soft Label Pruning and Quantization for Large-Scale Dataset Distillation cites this paper.

Soft Label Pruning and Quantization for Large-Scale Dataset Distillation Distilling the Knowledge in Data Pruning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:46:10.195429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ff70e73-1d8c-4961-997b-1427047876ec · inbound

TaxDistill: Improving Metagenomic Taxonomic Annotation via Distilled Genomic Foundation Models cites this paper.

TaxDistill: Improving Metagenomic Taxonomic Annotation via Distilled Genomic Foundation Models Distilling the Knowledge in Data Pruning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:24:55.018562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.