Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Training-free Regional Prompting for Diffusion Transformers
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.02395.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:31:35.456972Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T17:52:27.272056Z
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 105ae17e-4228-49cd-98cc-acb5810de5b6 · inbound
IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models cites this paper.
IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Training-free Regional Prompting for Diffusion Transformers
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:31:35.456972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d2e7c94-3433-4a22-8d8e-d1816c15aaaf · inbound
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models cites this paper.
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models Training-free Regional Prompting for Diffusion Transformers
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:48:15.822318Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7d13886-23d5-49a9-bdf1-470abd134858 · inbound
RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning cites this paper.
RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Training-free Regional Prompting for Diffusion Transformers
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:49:02.298652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f13d471-7931-4706-8b2c-fceff46d3110 · inbound
RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation cites this paper.
RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation Training-free Regional Prompting for Diffusion Transformers
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:56:05.103348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e5bea1c-a006-4cb4-a9b5-1e0fa083c0d6 · inbound
RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution cites this paper.
RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution Training-free Regional Prompting for Diffusion Transformers
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:33:35.072426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ef83ac4-e847-4fb4-9d5e-29be78db7428 · inbound
SketchAssist: A Practical Assistant for Semantic Edits and Precise Local Redrawing cites this paper.
SketchAssist: A Practical Assistant for Semantic Edits and Precise Local Redrawing Training-free Regional Prompting for Diffusion Transformers
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:18:21.945655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fb5345a-bc12-4c88-9f8e-d1dd21980574 · inbound
COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation cites this paper.
COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation Training-free Regional Prompting for Diffusion Transformers
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T17:52:27.273493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.