Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:29:07.222964Z
Paper Citation Record · LEDGER
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization
As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2502.09164.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
14 of 14 outbound references displayed
- verified exact2
- verified fuzzy3
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7b57e698-9dab-40a5-ab65-93c744415817 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:29:07.168345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c981bd9c-4c00-47aa-b3fa-6a8a49770912 · outbound
This paper cites Table 4: Parameters and Configs.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization Table 4: Parameters and Configs
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T22:29:07.452595Z
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.
Observation 4fde4436-0347-4095-b9d9-8304312d294e · outbound
This paper cites Classifier-Free Diffusion Guidance.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization Classifier-Free Diffusion Guidance
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:29:07.179565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95f03259-266a-43c0-ad38-043273007b9e · outbound
This paper cites Quality-aware Masked Diffusion Transformer for Enhanced Music Generation.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization Quality-aware Masked Diffusion Transformer for Enhanced Music Generation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:29:07.184390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acefdf97-c10b-44ab-b4c0-26a16dab06a0 · outbound
This paper cites MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T22:29:07.317167Z
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.
Observation 1dc0d800-1ea2-40fe-9add-beb7e385dcb2 · outbound
This paper cites X., Sun, J., Zhu, Y ., Kweon, I.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization X., Sun, J., Zhu, Y ., Kweon, I
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T22:29:07.469005Z
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.
Observation a5310589-ce07-41bd-87cb-440e456a07c7 · outbound
This paper cites Denoising Diffusion Implicit Models.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization Denoising Diffusion Implicit Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:29:07.204102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7de29935-77c8-4786-950c-1c5f863b867f · outbound
This paper cites an unresolved cited work.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T22:29:07.437582Z
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.
Observation c11005bf-ab28-4721-9672-39015a79a6c7 · outbound
This paper cites We mainly use DINOv2, but the other options may be worth trying.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization We mainly use DINOv2, but the other options may be worth trying
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T22:29:07.422646Z
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.
Observation 2a61c3e7-74b7-492f-9360-5c487a3446ad · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:29:07.162667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75741d7b-c34c-41a6-a371-b8e7c276f273 · outbound
This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization Muse: Text-To-Image Generation via Masked Generative Transformers
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:29:07.156820Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71607520-7fe8-4a01-8ac7-a1891f5b8704 · outbound
This paper cites On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
Reference 2023
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T22:29:07.294414Z
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.
Observation e99ac24d-f270-483a-aba1-91854f94b5bd · outbound
This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:29:07.174165Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38d3543f-9b06-46c9-9e90-0819d6ef26b8 · outbound
This paper cites YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark.
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:29:07.208847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.