Pith. sign in

Paper Citation Record · LEDGER

Elucidating the Design Space of Dataset Condensation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.13733.

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

pith.paper-citation-record.v1
2404.13733 v4

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:32:04.769075Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:28:52.608542Z

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 bb045bf3-8062-48ae-9d9e-d0c47e4c6ea6 · inbound

Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression cites this paper.

Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression Elucidating the Design Space of Dataset Condensation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T15:32:04.769075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:32:04.769075Z digest=sha256:6644bfd345c32e46169c41dbb59cd72b37ef15a91986a2adf0bed42b498843c2

Observation 3954ea93-d30f-4014-b684-03c2d2558b2c · inbound

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets cites this paper.

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets Elucidating the Design Space of Dataset Condensation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:44.712492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:44.712492Z digest=sha256:d168adb69c9e8921698b860c6bbe20ada58d6ac2069c34865d6caaf948bf6cdb

Observation ddd13eab-7c54-431c-9404-28782260ddbb · inbound

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

FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation Elucidating the Design Space of Dataset Condensation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T21:31:57.646322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:57.646322Z digest=sha256:19b3d4a33edfb74ee70d233e36148eeb7cd3a452ec060de1709a97f5b0ab4ac8

Observation 3402db80-44e5-429c-b019-33ba24dcba7a · inbound

Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? cites this paper.

Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? Elucidating the Design Space of Dataset Condensation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:28:52.611428Z

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=2026-06-27T01:46:20.177256Z digest=sha256:c8827b3237eb35f4e160aae075d453edaaaa0b296e3f0d33215f06c6be1a64da