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Paper Citation Record · LEDGER

AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.17074.

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

pith.paper-citation-record.v1
2309.17074 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:40:46.330261Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T07:47:33.061240Z

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 d85a88c3-36e5-4230-983b-a737b4099f4c · inbound

A Survey of Early Exit Deep Neural Networks in NLP cites this paper.

A Survey of Early Exit Deep Neural Networks in NLP AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:46.330261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:40:46.330261Z digest=sha256:c41de30a803dc611ee8e5a54b0b5badba4a4e084e6f80c7654fec5804c279f42

Observation ddc15ec6-3993-4812-a7b6-6422741d1b4c · inbound

Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models cites this paper.

Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:47:33.062774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T07:43:45.415485Z digest=sha256:0fe64543d22b669041471ba78508dd34d176bc699315ce9b2c6d4405da4565b0