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Paper Citation Record · LEDGER

Distilling the Knowledge in Data Pruning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:19.326260Z

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 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.

source=pdf_text observed=2026-08-07T13:05:19.326260Z digest=sha256:a8191dd66c442bc0eef6b004012f16457e5d657a212fee29a61883d1dafb6af1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:44:25.808155Z digest=sha256:72860f75374476b719f6bfb7b6618fb20b6b65470b97aaa702bc59b88f841bf9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T16:24:26.364406Z digest=sha256:f8d04742582176b706200ce4662151010ccf0713ccf7f575ffbd142d033aaadc