Pith. sign in

Paper Citation Record · LEDGER

Dataset Distillation via Curriculum Data Synthesis in Large Data Era

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.18838.

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

pith.paper-citation-record.v1
2311.18838 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:06:37.310714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:07:02.381842Z

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 a1463a5d-6f5c-4093-8869-c5613d3af63b · inbound

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation cites this paper.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Dataset Distillation via Curriculum Data Synthesis in Large Data Era

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T22:06:37.310714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:06:37.310714Z digest=sha256:41b2cff38a16e6d27000b9564844c6c66c3eee5e28e4f1689538e45d8a1d0f2c

Observation a5475e67-e408-4f2e-bd66-620908ff4d3e · inbound

Condensing Large-Scale Datasets Directly with Minimal Information Loss cites this paper.

Condensing Large-Scale Datasets Directly with Minimal Information Loss Dataset Distillation via Curriculum Data Synthesis in Large Data Era

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-02T14:07:02.383113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T13:59:59.488216Z digest=sha256:a090b5291b702cbd965ddd9eda9720eb9866e81f2a5d059ab51c414dab22e1db