Paper Citation Record · LEDGER

Dataset Distillation via Adversarial Prediction Matching

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.08912.

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

pith.paper-citation-record.v1
2312.08912 v1

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:50.601136Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:32:00.711068Z

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 97a4085b-a65f-4985-888b-790175486dd6 · inbound

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions cites this paper.

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions Dataset Distillation via Adversarial Prediction Matching

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-08T18:29:50.601136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62ed99b9-8263-4b0c-81ee-35987a5a3469 · inbound

FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation cites this paper.

FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation Dataset Distillation via Adversarial Prediction Matching

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:32:00.751266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef6a34b7-f72a-4dfe-b83f-68cc92d3edab · inbound

Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift cites this paper.

Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift Dataset Distillation via Adversarial Prediction Matching

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T15:50:35.300113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cda4e18-c59b-45c9-b416-8ad149304593 · inbound

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation cites this paper.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Dataset Distillation via Adversarial Prediction Matching

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.