Paper Citation Record · LEDGER

Group Diffusion Transformers are Unsupervised Multitask Learners

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.15027.

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

pith.paper-citation-record.v1
2410.15027 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:43:56.143739Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T16:07:53.103384Z

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 6fec25d3-7147-4e24-b937-fe9cf8b47e07 · inbound

Grid: Omni Visual Generation cites this paper.

Grid: Omni Visual Generation Group Diffusion Transformers are Unsupervised Multitask Learners

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T15:44:33.643254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3631de8-a5c3-4717-9c16-2ef9b7519abd · inbound

IDEA-Bench: How Far are Generative Models from Professional Designing? cites this paper.

IDEA-Bench: How Far are Generative Models from Professional Designing? Group Diffusion Transformers are Unsupervised Multitask Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.399527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a84ee96-abcd-47e3-82d8-7d19b7780ab5 · inbound

ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers cites this paper.

ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers Group Diffusion Transformers are Unsupervised Multitask Learners

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:01:05.238666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 356efc52-5648-4c11-a00a-046cb954d973 · inbound

In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer cites this paper.

In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer Group Diffusion Transformers are Unsupervised Multitask Learners

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:07:53.105086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78b06020-0cf3-4d30-b4dd-6a71d8c250ac · inbound

MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing cites this paper.

MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing Group Diffusion Transformers are Unsupervised Multitask Learners

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:43:56.143739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1832c37-db70-49ef-b119-cdf91bf0b014 · inbound

Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models cites this paper.

Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models Group Diffusion Transformers are Unsupervised Multitask Learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T23:44:59.517083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.