Paper Citation Record · LEDGER

Exploring Diffusion Time-steps for Unsupervised Representation Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.11430.

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

pith.paper-citation-record.v1
2401.11430 v1

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 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:00:05.542651Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:17:29.630259Z

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 4ffb9734-b2bf-4792-a646-8f033e1b7121 · inbound

Exploring the latent space of diffusion models directly through singular value decomposition cites this paper.

Exploring the latent space of diffusion models directly through singular value decomposition Exploring Diffusion Time-steps for Unsupervised Representation Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T13:00:05.542651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18689324-1015-4107-a555-95519d4b0cc8 · inbound

On Denoising Walking Videos for Gait Recognition cites this paper.

On Denoising Walking Videos for Gait Recognition Exploring Diffusion Time-steps for Unsupervised Representation Learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:09.742321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a1635d-f20c-47bd-8fe3-c16760be4d50 · inbound

Controllable Coupled Image Generation via Diffusion Models cites this paper.

Controllable Coupled Image Generation via Diffusion Models Exploring Diffusion Time-steps for Unsupervised Representation Learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:41.794804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f08ac1-a6d5-43ea-b5e6-3cd0cd96dd24 · inbound

Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning cites this paper.

Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning Exploring Diffusion Time-steps for Unsupervised Representation Learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:16.121566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04cc12ab-9bb3-445b-8ea5-4128bcafbb3d · inbound

CosmoFlow: Scale-Aware Representation Learning for Cosmology with Flow Matching cites this paper.

CosmoFlow: Scale-Aware Representation Learning for Cosmology with Flow Matching Exploring Diffusion Time-steps for Unsupervised Representation Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:14.291391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07cb2af6-b5ad-4928-a4ff-7b4f8c67ec28 · inbound

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning cites this paper.

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning Exploring Diffusion Time-steps for Unsupervised Representation Learning

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:51.921454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 51b49335-3ea2-4c7a-987f-6e4760a1c449 · inbound

LiteVSR: Lightweight Adaptation of Frozen Diffusion Transformers for Video Super-Resolution cites this paper.

LiteVSR: Lightweight Adaptation of Frozen Diffusion Transformers for Video Super-Resolution Exploring Diffusion Time-steps for Unsupervised Representation Learning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:17:29.631468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91d784ab-e276-4597-9553-41ad37e3a553 · inbound

MMDiff: Extending Diffusion Transformers for Multi-Modal Generation cites this paper.

MMDiff: Extending Diffusion Transformers for Multi-Modal Generation Exploring Diffusion Time-steps for Unsupervised Representation Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-12T13:45:04.631355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.