Pith. sign in

Paper Citation Record · LEDGER

Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.19128.

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

pith.paper-citation-record.v1
2409.19128 v2

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:39.681454Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:11:28.385494Z

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 82c8a359-0168-4af6-b815-45a67f823c4a · inbound

Numerical Pruning for Efficient Autoregressive Models cites this paper.

Numerical Pruning for Efficient Autoregressive Models Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models

Reference 92

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:11:28.389739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T14:11:27.137494Z digest=sha256:20303bc93f46008bb40f924b94f9292bdfe9626f6ccb6bae88951bac8420f11c

Observation acc4d038-c9a8-4bf3-bac6-a0c902a364a7 · inbound

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers cites this paper.

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-11T14:11:39.681454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:11:39.681454Z digest=sha256:2e705058d71030d914810c95ea401f9ee2344b43c3e427b9139a011ccc7c9c73

Observation ac99a121-77f9-4c14-aa72-b2e2383b5500 · inbound

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation cites this paper.

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T02:34:19.490475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:34:19.490475Z digest=sha256:0396ba0ff85b276fe1ea1721a68d2bb8d5695a99fb279894a5d920799b631f0f