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Paper Citation Record · LEDGER

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.15927.

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

pith.paper-citation-record.v1
2312.15927 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:46.939504Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:14:21.998958Z

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 b006172a-16b6-4878-89c0-1bf58ba8e9b6 · inbound

Taming Diffusion for Dataset Distillation with High Representativeness cites this paper.

Taming Diffusion for Dataset Distillation with High Representativeness M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:46.939504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:35:46.939504Z digest=sha256:00870446785accc8e008d57c6513558490ed0b8c1e08e62640ef5d297e218493

Observation fd11c6d4-8490-41fc-a2c3-4217afd5772f · inbound

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

Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:14:22.000283Z

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.

source=pdf_text observed=2026-06-30T06:54:19.251168Z digest=sha256:b52d056b5a605b95a3352bade2bc1d7dfb2bcce7ef52d8e63eb20bc59ca6bbc0