Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:47:32.086124Z
Paper Citation Record · LEDGER
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers
As of 20 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2505.00482.
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 2026-08-20T06:33:59.587034+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
73 of 73 outbound references displayed
- verified exact0
- verified fuzzy52
- unresolved20
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e20639d2-b967-495e-8357-f167766ded85 · outbound
This paper cites Depthformer: Multi- scale vision transformer for monocular depth estimation with global local information fusion.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Depthformer: Multi- scale vision transformer for monocular depth estimation with global local information fusion
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.359818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 638bf7f6-2956-4ca9-bfa5-26245c5c6d99 · outbound
This paper cites Multimae: Multi-modal multi-task masked autoen- coders.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Multimae: Multi-modal multi-task masked autoen- coders
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.343791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 539feb88-6b35-41e6-8ce0-4251eec86a4b · outbound
This paper cites 4m-21: An any-to-any vision model for tens of tasks and modalities.Advances in Neural Infor- mation Processing Systems, 37:61872–61911, 2024.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers 4m-21: An any-to-any vision model for tens of tasks and modalities.Advances in Neural Infor- mation Processing Systems, 37:61872–61911, 2024
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.327777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cfb5ebd8-5431-4fb5-b5a0-49ba2da2c7fd · outbound
This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Multidiffusion: Fusing diffusion paths for controlled image generation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.311923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3bac5b32-4eb9-4221-bf1c-6d950f95d84e · outbound
This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Se- mantickitti: A dataset for semantic scene understanding of lidar sequences
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.761070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84c0527e-61dc-4832-96bb-ae5d9348171d · outbound
This paper cites Loosec- ontrol: Lifting controlnet for generalized depth conditioning.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Loosec- ontrol: Lifting controlnet for generalized depth conditioning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.765916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 277bc16c-9d08-438e-b729-c3ddcb67f6da · outbound
This paper cites Flux.1.https://huggingface.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Flux.1.https://huggingface
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.271520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f6408f9e-5835-4446-ac12-295d3e3fe99c · outbound
This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffu- sion.Advances in Neural Information Processing Systems, 37:24081–24125, 2025.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Diffusion forcing: Next-token prediction meets full-sequence diffu- sion.Advances in Neural Information Processing Systems, 37:24081–24125, 2025
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.255156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a12b82ee-2136-43d4-999c-d8b68e4a8ee2 · outbound
This paper cites Text2tex: Text-driven tex- ture synthesis via diffusion models.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Text2tex: Text-driven tex- ture synthesis via diffusion models
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.238261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e3322d9e-bd64-4fc3-91e3-778378b88a1f · outbound
This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.785181Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e424f2f6-1aae-42a9-a2ce-834c84b7f418 · outbound
This paper cites Neural ordinary differential equa- tions.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Neural ordinary differential equa- tions
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.221679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6ab98a38-4b5a-4ca4-8e11-d3c8ca25a96f · outbound
This paper cites Deep diffusion image prior for efficient ood adaptation in 3d inverse problems.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Deep diffusion image prior for efficient ood adaptation in 3d inverse problems
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.205553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5b0afb4f-3199-4fbb-b843-be69d0908e23 · outbound
This paper cites Improving diffusion models for inverse prob- lems using manifold constraints.Advances in Neural Infor- mation Processing Systems, 35:25683–25696, 2022.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Improving diffusion models for inverse prob- lems using manifold constraints.Advances in Neural Infor- mation Processing Systems, 35:25683–25696, 2022
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.188360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 44d0262f-e37b-4fe7-931f-c3215bc8e681 · outbound
This paper cites Solving 3d inverse problems us- ing pre-trained 2d diffusion models.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Solving 3d inverse problems us- ing pre-trained 2d diffusion models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.804493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a47916b-fd92-4230-8d66-d34143d1b414 · outbound
This paper cites Latentpaint: Image inpainting in latent space with diffusion models.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Latentpaint: Image inpainting in latent space with diffusion models
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.158873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d25b22bf-6406-464c-ae7c-b8a6b27e4b97 · outbound
This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers DiffEdit: Diffusion-based semantic image editing with mask guidance
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.814438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7508e38b-4b78-4cd9-a750-98697494ab7b · outbound
This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Scannet: Richly-annotated 3d reconstructions of indoor scenes
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.142025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f77ecb42-ba28-4636-8774-acdf2170ad25 · outbound
This paper cites Scaling vision transformers to 22 billion pa- rameters.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Scaling vision transformers to 22 billion pa- rameters
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.124854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d6ddda39-23d1-4c91-8f80-b2fcab394fec · outbound
This paper cites Scaling rec- tified flow transformers for high-resolution image synthesis.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Scaling rec- tified flow transformers for high-resolution image synthesis
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.106749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 88ba2f57-a753-471b-9475-c7cb6b4f5e86 · outbound
This paper cites The pascal visual object classes (voc) challenge.International journal of computer vision, 88:303–338, 2010.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers The pascal visual object classes (voc) challenge.International journal of computer vision, 88:303–338, 2010
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.084975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 184ad83e-704c-4dc8-8e76-83fd531d14c9 · outbound
This paper cites Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.069501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 34108945-3372-47fa-9433-be9dffdcba9b · outbound
This paper cites Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, and Bj ¨orn Ommer.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, and Bj ¨orn Ommer
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.053680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 70114f14-a7c6-4740-9e1e-5bf642aac3bb · outbound
This paper cites Efficient diffu- sion training via min-snr weighting strategy.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Efficient diffu- sion training via min-snr weighting strategy
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.038231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bab29a7a-832b-4f96-9616-516c93de7b41 · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:33.022264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b6b1a09d-5fe0-40f2-817d-6c5c76184e18 · outbound
This paper cites Classifier-Free Diffusion Guidance.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Classifier-Free Diffusion Guidance
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.857329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a2cdd4b-fcd0-4adf-b77c-fdc4440b7dd4 · outbound
This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.862188Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f12d4fa1-d866-45ac-9bdd-a24740c0f68b · outbound
This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.990748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2b127d2a-7d10-404e-bd23-f06a61b4a54e · outbound
This paper cites Zero-shot depth completion via test-time align- ment with affine-invariant depth prior.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Zero-shot depth completion via test-time align- ment with affine-invariant depth prior
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.972436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8d32c6f0-a73f-4804-b121-2370953719a9 · outbound
This paper cites Mixture of Diffusers for scene composition and high resolution image generation.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Mixture of Diffusers for scene composition and high resolution image generation
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.875973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46006c99-c6b8-431d-b66d-c74fba81ad8c · outbound
This paper cites Dy- namicstereo: Consistent dynamic depth from stereo videos.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Dy- namicstereo: Consistent dynamic depth from stereo videos
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.956075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a0db4282-6c47-4564-b9b0-aba4f28d0466 · outbound
This paper cites Imagic: Text-based real image editing with diffusion models.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Imagic: Text-based real image editing with diffusion models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.885577Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48ec99ae-962e-4da9-843e-006bf6899dc1 · outbound
This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Repurpos- ing diffusion-based image generators for monocular depth estimation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.929179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f05808a1-c3c4-4c9c-b47a-ef711f6c1036 · outbound
This paper cites Openimages: A public dataset for large-scale multi-label and multi-class im- age classification.Dataset available from https://github.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Openimages: A public dataset for large-scale multi-label and multi-class im- age classification.Dataset available from https://github
Reference 33
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- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.913766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 83f18812-e8e0-41ca-9a8e-bcc549e6a6ee · outbound
This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.900304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd96c19c-110a-46e9-82c2-97154f571b78 · outbound
This paper cites A sim- ple approach to unifying diffusion-based conditional gener- ation.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers A sim- ple approach to unifying diffusion-based conditional gener- ation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.885523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e76b6efc-0845-4b3f-bbe2-6e796cae985d · outbound
This paper cites Matrixcity: A large-scale city dataset for city-scale neural rendering and beyond.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Matrixcity: A large-scale city dataset for city-scale neural rendering and beyond
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.867109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fc484d44-5e99-4cf7-b3ae-b2a343c091cb · outbound
This paper cites Revisiting stereo depth estimation from a sequence- to-sequence perspective with transformers.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Revisiting stereo depth estimation from a sequence- to-sequence perspective with transformers
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.847315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 08077ad5-380a-4e0f-9a05-2a2f72ba0fdd · outbound
This paper cites Microsoft coco: Common objects in context.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Microsoft coco: Common objects in context
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.829741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a80c5ed8-f222-492f-b0c2-8904a0560559 · outbound
This paper cites Flow Matching for Generative Modeling.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Flow Matching for Generative Modeling
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.923802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7470cf35-68c6-4d78-b1df-11819e2f20c7 · outbound
This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.813347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 698df1ed-81f7-4a64-9031-172d40c1a499 · outbound
This paper cites Zero-1-to- 3: Zero-shot one image to 3d object.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Zero-1-to- 3: Zero-shot one image to 3d object
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.794549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6fbf4387-b655-4f54-884a-02153e21f2d8 · outbound
This paper cites Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.938971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ccc817f-b3bc-4391-bfa2-8f67f3c91286 · outbound
This paper cites Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.778339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b6f02291-c849-4ad9-9595-ddabf8f720c2 · outbound
This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Repaint: Inpainting using denoising diffusion probabilistic models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.948760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b57c80d-87e4-499f-b8a8-4fd6d514eea3 · outbound
This paper cites Readout guidance: Learning con- trol from diffusion features.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Readout guidance: Learning con- trol from diffusion features
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.750508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9180c32e-ce26-43b9-95d9-8ec625af36ce · outbound
This paper cites Scalable diffusion models with transformers.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Scalable diffusion models with transformers
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:31.958883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e50cd36-d621-4350-8f5d-8dc2b3f090b5 · outbound
This paper cites Pexels, royalty-free stock footage website.https: //www.pexels.com.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Pexels, royalty-free stock footage website.https: //www.pexels.com
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.717285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6bdc975b-33d0-4546-ade7-154e0eed6cea · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Learning transferable visual models from natural language supervi- sion
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.700647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 08656bfd-de6b-4f5b-aabe-23ef6ff4240b · outbound
This paper cites an unresolved cited work.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:47:32.685202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6807bea5-e543-4fd7-9e27-1ac9e589dc5f · outbound
This paper cites Vi- sion transformers for dense prediction.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Vi- sion transformers for dense prediction
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.668627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 27fa0ec4-24af-4d52-b849-db6ee5980a96 · outbound
This paper cites Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.652645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c03e09bd-8d5f-44ac-ada3-fc50d73bfa3b · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers High-resolution image synthesis with latent diffusion models
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.635760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f852eb49-cb3a-4f9b-876d-7de63aafd134 · outbound
This paper cites Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.619105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fe6d243f-9a3d-4f55-abd5-1c4e86eedf5d · outbound
This paper cites Improved techniques for training gans.Advances in neural information processing systems, 29, 2016.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Improved techniques for training gans.Advances in neural information processing systems, 29, 2016
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.600796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0d498dfd-7bad-4841-8be7-3e54115a63db · outbound
This paper cites A multi-view stereo benchmark with high- resolution images and multi-camera videos.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers A multi-view stereo benchmark with high- resolution images and multi-camera videos
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.582793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 43486afc-c5c8-41fe-8f25-6cb4cb57ae12 · outbound
This paper cites Indoor segmentation and support inference from rgbd images.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Indoor segmentation and support inference from rgbd images
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.563874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dc3e3101-6f71-4093-851b-55de20ba80a1 · outbound
This paper cites Generative modeling by esti- mating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Generative modeling by esti- mating gradients of the data distribution.Advances in neural information processing systems, 32, 2019
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.546773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1c97dfc6-f6ac-4964-904f-ac71d1c4f08d · outbound
This paper cites Improved techniques for training score-based generative models.Advances in neural information processing systems, 33:12438–12448, 2020.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Improved techniques for training score-based generative models.Advances in neural information processing systems, 33:12438–12448, 2020
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.528974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 164c3f2f-ccec-4470-842d-d00f27b0c700 · outbound
This paper cites Score-based generative modeling through stochastic differential equa- tions.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Score-based generative modeling through stochastic differential equa- tions
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:32.019532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02f508d3-5f8b-45e4-b086-ada5b5d12922 · outbound
This paper cites LDM3D: Latent Diffusion Model for 3D.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers LDM3D: Latent Diffusion Model for 3D
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:32.024582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52086cdb-08af-45e3-8b09-c4ecca06e572 · outbound
This paper cites Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:32.030323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b9390b1-9fc4-41f2-a5e7-c474b946b25b · outbound
This paper cites Soundbrush: Sound as a brush for visual scene editing.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Soundbrush: Sound as a brush for visual scene editing
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.503412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e47614c9-1030-4b72-98f6-d4312ed2ba1c · outbound
This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Plug-and-play diffusion features for text-driven image-to-image translation
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.486346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7064dcd2-c2b2-4a6e-a4f7-ed06b613ff2a · outbound
This paper cites DIODE: A Dense Indoor and Outdoor DEpth Dataset.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:32.044798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d40fd372-e52c-4e32-b2af-708f6e2f0ac4 · outbound
This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Attention is all you need.Advances in neural information processing systems, 30, 2017
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:32.050298Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d941c7ab-f341-46d4-a091-db4be8757017 · outbound
This paper cites Irs: A large naturalistic indoor robotics stereo dataset to train deep models for dis- parity and surface normal estimation.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Irs: A large naturalistic indoor robotics stereo dataset to train deep models for dis- parity and surface normal estimation
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.460079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 70dec2f1-5e85-4e52-a191-5b990e93bf10 · outbound
This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.Advances in Neural Information Pro- cessing Systems, 36:15903–15935, 2023.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Imagere- ward: Learning and evaluating human preferences for text- to-image generation.Advances in Neural Information Pro- cessing Systems, 36:15903–15935, 2023
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.443142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b913b190-caf6-4d10-ac67-96ebffd7c4a4 · outbound
This paper cites Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911, 2025.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911, 2025
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.424683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 78552e6d-0d9a-4028-bcda-1cd8f69fa44e · outbound
This paper cites Paint- it: Text-to-texture synthesis via deep convolutional texture map optimization and physically-based rendering.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Paint- it: Text-to-texture synthesis via deep convolutional texture map optimization and physically-based rendering
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.404820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 061a8559-6029-4eb0-b3fd-39aa4cc40872 · outbound
This paper cites Metta: Single-view to 3d textured mesh reconstruction with test-time adaptation.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Metta: Single-view to 3d textured mesh reconstruction with test-time adaptation
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.386796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 66dc40ec-204f-4850-be39-b048a42aa84f · outbound
This paper cites Joint- net: Extending text-to-image diffusion for dense distribution modeling.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Joint- net: Extending text-to-image diffusion for dense distribution modeling
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.370386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0ad6a0fd-d2b8-47e9-98b0-17b328268a18 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Adding conditional control to text-to-image diffusion models
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:32.351727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4264956c-fc13-4bcd-a31c-4e2bc28cb58d · outbound
This paper cites TNBMM CMBDL LJUUFO CBMBODJOH B MFWJUBUJOH QPUJPO CPUUMF GJMMFE XJUI TIJNNFSJOH CMVF MJRVJEu t1BTUB XJUI NVTISPPNT BOE CBDPOu t.
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers TNBMM CMBDL LJUUFO CBMBODJOH B MFWJUBUJOH QPUJPO CPUUMF GJMMFE XJUI TIJNNFSJOH CMVF MJRVJEu t1BTUB XJUI NVTISPPNT BOE CBDPOu t
Reference 73
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-16T04:47:32.191857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.