Paper Citation Record · LEDGER

Exploring Diffusion Time-steps for Unsupervised Representation Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:09.742321Z

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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.