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Paper Citation Record · LEDGER

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.17403.

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

pith.paper-citation-record.v1
2405.17403 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:39:32.669899Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:36:26.631853Z

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 39c5fb13-4cc5-49ca-b3ca-ebc05602107d · inbound

Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers cites this paper.

Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T10:19:29.888841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:19:29.888841Z digest=sha256:85530b50d538ce6901d4417666419dd93a338e97509dbff93585ede5b607b63e

Observation 167823e9-14bc-43c0-a379-853ae725d276 · inbound

RealisDance-DiT: Simple yet Strong Baseline towards Controllable Character Animation in the Wild cites this paper.

RealisDance-DiT: Simple yet Strong Baseline towards Controllable Character Animation in the Wild A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:32.669899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:39:32.669899Z digest=sha256:b93033f82edab867ebfdc1a4a2c105a7f011840b39f0fbfd87ed2cdff3ae3a51

Observation 717f79a8-05a7-424f-a32c-db2ddcae1dab · inbound

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning cites this paper.

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-15T22:21:30.651501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:30.651501Z digest=sha256:8864a6aff7590ba32bfa028c7b4ed6be0c94e13c05ce9309a2e2a63e1830d9ad

Observation 1fe3d85b-6249-421c-a498-b1b5d6e49774 · inbound

REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training cites this paper.

REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:00:40.693309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:00:40.693309Z digest=sha256:c9b6269074d87e9fea0b742f162e59054a755f4483002718c0f91ba91e1c3a07

Observation e35654e6-a92c-4dfe-9315-07892d907c1c · inbound

Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its Miscibility cites this paper.

Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its Miscibility A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:19.847310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:19.847310Z digest=sha256:b28f644353933e3c006aeb2d9d7559d388b5c597ed6da2333fc819a1590b3f68

Observation a2e354fb-9d37-41de-85ba-65c0e3b4ff4b · inbound

Test-Time Scaling of Diffusion Models via Noise Trajectory Search cites this paper.

Test-Time Scaling of Diffusion Models via Noise Trajectory Search A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:48.034148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:48.034148Z digest=sha256:d48015c693834b7b28688592a21152d6b377e1ee37afa1780d825d5bde39bedb

Observation 4cc17c2f-112a-41b0-b6e3-6ec161bf6bc7 · inbound

Elucidating Representation Degradation Problem in Diffusion Model Training cites this paper.

Elucidating Representation Degradation Problem in Diffusion Model Training A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:36:26.644353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:08:11.110912Z digest=sha256:abfbad5a73089f20efd80c165f4bcdd23590fd4bf79702677bec9ffc5821fbec

Observation e75ead23-afec-4fe9-b6b8-1ab4c855a1c1 · inbound

TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models cites this paper.

TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:45.853021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T01:04:45.853021Z digest=sha256:7b0412a3c230aa82680d5621bbea5f0c87f8de26bf504b1b4aeef75488dba6cc