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Paper Citation Record · LEDGER

Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.06982.

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

pith.paper-citation-record.v1
2310.06982 v1

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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:43:59.972885Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:14:22.020492Z

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 cc59b9a9-b0cf-480b-9ff3-530df6c44886 · inbound

Dataset Distillers Are Good Label Denoisers In the Wild cites this paper.

Dataset Distillers Are Good Label Denoisers In the Wild Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T18:43:59.972885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:43:59.972885Z digest=sha256:caa9f8a282e7eb76da48ca9183210f3e89b43d1757098979302e2761b164f20c

Observation 5c8afe6c-2d4e-4367-8778-491f3d53c20a · inbound

Data-to-Model Distillation: Data-Efficient Learning Framework cites this paper.

Data-to-Model Distillation: Data-Efficient Learning Framework Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.174104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.174104Z digest=sha256:ed47eb9ac21044f4376f24b70129d1e9495e02232c440f1acf572383a4b8e095

Observation c249ac14-db09-4c44-a834-5c382736e92c · inbound

Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets cites this paper.

Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:14:22.022499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T06:54:19.251168Z digest=sha256:3e913f650392f4b173fabe0743fb169b06a9d2699ccb60758341f9cffb07374e