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Paper Citation Record · LEDGER

SegDiff: Image Segmentation with Diffusion Probabilistic Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2112.00390.

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

pith.paper-citation-record.v1
2112.00390 v3

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measured 0 of 0 reference resolution

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measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:21:09.252764Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-04T14:39:57.809764Z

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Outbound references

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Pith citing papers

Observation 15b26c3f-8af0-4764-8258-a5bb82989aa0 · inbound

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows cites this paper.

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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arxiv_id, observed 2026-05-24T08:44:14.106143Z

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Observation f9070000-2d70-489f-a9a3-832c31dda7ec · inbound

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements cites this paper.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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Observation 55615d7d-5af0-4129-b010-8036bd5d9387 · inbound

PhysMotion: Physics-Grounded Dynamics From a Single Image cites this paper.

PhysMotion: Physics-Grounded Dynamics From a Single Image SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

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Observation 6399721d-6540-4938-9beb-33c895b73929 · inbound

Video-Guided Foley Sound Generation with Multimodal Controls cites this paper.

Video-Guided Foley Sound Generation with Multimodal Controls SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

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Observation d3ccbc5f-258c-4780-be06-162b4d552448 · inbound

Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation cites this paper.

Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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Observation 22299a99-6eeb-40d8-a75f-cb8be1779926 · inbound

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation cites this paper.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2022

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Observation f15a9c2a-0758-4b67-a9de-78b426fea39b · inbound

CrossDiff: Diffusion Probabilistic Model With Cross-conditional Encoder-Decoder for Crack Segmentation cites this paper.

CrossDiff: Diffusion Probabilistic Model With Cross-conditional Encoder-Decoder for Crack Segmentation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 3

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Observation 42cb7082-65f3-446f-b470-84d6f470597e · inbound

Exploring the latent space of diffusion models directly through singular value decomposition cites this paper.

Exploring the latent space of diffusion models directly through singular value decomposition SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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Observation 550d52aa-1e6a-416e-87e6-842dca65913a · inbound

Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization cites this paper.

Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2023

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Observation a83e9e0a-cadd-41c2-881e-f837daf8404b · inbound

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features cites this paper.

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

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Observation a0040755-0538-4056-a52f-583597614bf9 · inbound

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models cites this paper.

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

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Observation ee42f3a5-a5a6-4ab0-b649-e3ff7f74c6de · inbound

Conditional diffusion model with spatial attention and latent embedding for medical image segmentation cites this paper.

Conditional diffusion model with spatial attention and latent embedding for medical image segmentation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 11

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Observation 672a1ce2-0866-41ff-a5ad-f6a9ce72b5a3 · inbound

Segment Any-Quality Images with Generative Latent Space Enhancement cites this paper.

Segment Any-Quality Images with Generative Latent Space Enhancement SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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arxiv_id, observed 2026-05-22T23:47:15.700710Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9ef12c6e-b3b5-4157-a849-90b7c81727d9 · inbound

On Denoising Walking Videos for Gait Recognition cites this paper.

On Denoising Walking Videos for Gait Recognition SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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Observation d62db0b8-d4bb-4299-91bd-7984baebe0ea · inbound

DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers cites this paper.

DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

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Observation 5c614754-a8ea-46f4-9e99-7873952088df · inbound

Compositional Scene Understanding through Inverse Generative Modeling cites this paper.

Compositional Scene Understanding through Inverse Generative Modeling SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 6

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Observation 2d017ba0-027e-4131-80f7-bd7832670a06 · inbound

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models cites this paper.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 3

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Observation 5621f5a6-0016-4454-8950-4e0f13f710ae · inbound

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment cites this paper.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

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Observation 2ba00fcf-dc2a-4cd3-8009-2215fac3b0ab · inbound

LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion cites this paper.

LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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Observation 630be85a-9bff-4f04-bf3c-f7cd880e50af · inbound

From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation cites this paper.

From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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Observation 274ecd2a-68e8-4175-bc68-3fb4c015cec5 · inbound

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model cites this paper.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 3

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Observation 1ea71337-06e8-4c6b-954e-651d440752cb · inbound

Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance cites this paper.

Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 4

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arxiv_id, observed 2026-05-19T03:07:00.078917Z

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Observation e6260bda-a666-4f97-9217-c0e2d0a552f7 · inbound

Diffusion-FS: Multimodal Free-Space Prediction via Diffusion for Autonomous Driving cites this paper.

Diffusion-FS: Multimodal Free-Space Prediction via Diffusion for Autonomous Driving SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 20

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Observation 0def5bb3-046b-48bd-867c-9baabad299b7 · inbound

Flow Stochastic Segmentation Networks cites this paper.

Flow Stochastic Segmentation Networks SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 3

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Observation 9cf307e6-5d82-4240-93e0-365392fdbb7c · inbound

SDMatte: Grafting Diffusion Models for Interactive Matting cites this paper.

SDMatte: Grafting Diffusion Models for Interactive Matting SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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Observation 6546448b-1e54-4f47-b0d0-8444f323d3d0 · inbound

IDCNet: Guided Video Diffusion for Metric-Consistent RGBD Scene Generation with Precise Camera Control cites this paper.

IDCNet: Guided Video Diffusion for Metric-Consistent RGBD Scene Generation with Precise Camera Control SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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Observation 61f415dc-dbe3-4cbe-a4fa-e30ae53a332d · inbound

SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3 cites this paper.

SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3 SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2018

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Observation 492782e0-b615-4163-8b33-e178894fd1bc · inbound

Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling cites this paper.

Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

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Observation 8e7d7be0-638e-4fa8-a6ae-41fbc16794f4 · inbound

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval cites this paper.

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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Observation aa038982-1a5f-46e4-a94a-d3c9c7077ae5 · inbound

Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA cites this paper.

Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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source=arxiv_source observed=2026-08-04T14:54:46.461956Z digest=sha256:4095378704abc43e37f53269902d809cd7b4c0192274004cb42546ef98c4e68d

Observation f9fbc362-88e8-441c-9228-c9f3ca14a8bc · inbound

Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement cites this paper.

Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 50

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arxiv_id, observed 2026-05-16T18:13:13.271023Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d05d44b2-9c67-441c-848b-9f887ed629f6 · inbound

Enhancing Foundation VLM Robustness to Missing Modality: Scalable Diffusion for Bi-directional Feature Restoration cites this paper.

Enhancing Foundation VLM Robustness to Missing Modality: Scalable Diffusion for Bi-directional Feature Restoration SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 3

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arxiv_id, observed 2026-05-16T08:37:37.257136Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T08:33:49.841678Z digest=sha256:41d5da95b242945c2e6a163a1ee1da0fe257460225e8ee3e9953a359308ca422

Observation 68a238ec-6745-4476-b7b3-2cef336d2133 · inbound

COP-GEN: Latent Diffusion Transformer for Copernicus Earth Observation Data cites this paper.

COP-GEN: Latent Diffusion Transformer for Copernicus Earth Observation Data SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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arxiv_id, observed 2026-05-15T16:40:10.431339Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6945d19d-3dfe-4455-a5ee-09a41f6dd609 · inbound

Volumetric Directional Diffusion: Anchoring Uncertainty Quantification in Anatomical Consensus for Ambiguous Medical Image Segmentation cites this paper.

Volumetric Directional Diffusion: Anchoring Uncertainty Quantification in Anatomical Consensus for Ambiguous Medical Image Segmentation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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Observation e0f9f27e-1ec4-4963-b939-6538b40023b9 · inbound

SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation cites this paper.

SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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arxiv_id, observed 2026-05-13T21:08:18.379754Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 45f76ba5-bd59-4a5e-9fef-0f686b4cd1e5 · inbound

RF-HiT: Rectified Flow Hierarchical Transformer for General Medical Image Segmentation cites this paper.

RF-HiT: Rectified Flow Hierarchical Transformer for General Medical Image Segmentation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:06:05.698345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 12b289e9-8965-4d4d-8ff9-5d2136ec10b8 · inbound

MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention cites this paper.

MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:46:15.078840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:59:49.880484Z digest=sha256:1e37fb5229073145fcc82bec71632c932c86063abcdd9f41c28feae86d764c64

Observation ad55a54c-608c-4ffb-8b00-a370272ff485 · inbound

Diffusion Model as a Generalist Segmentation Learner cites this paper.

Diffusion Model as a Generalist Segmentation Learner SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:41:15.667059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T04:37:20.434070Z digest=sha256:a5e434b449f4193ef9ad19da3a40a5890193136587a4f0b50855fe252a5f8a2d

Observation 2227e161-8da2-4d21-bb18-cd1230201eed · inbound

UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors cites this paper.

UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 100

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:26:08.010127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-09T20:05:21.723724Z digest=sha256:899fd71f909dfa6e01482a9a0610df9444f11ca3a7793efc864fdaf56f01d0d2

Observation 770fca24-5e6b-4c2f-8f30-ad258c9ac620 · inbound

Weakly Supervised Segmentation as Semantic-Based Regularization cites this paper.

Weakly Supervised Segmentation as Semantic-Based Regularization SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:29:28.025727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-14T20:27:33.799271Z digest=sha256:9d6cae979d3dc717a01cf5587b270e8afc9d9a5996d2c0df16a4b8fc39ef8466

Observation b8dca241-dd38-4a2f-bef9-82bb7fde9a17 · inbound

Weakly Supervised Segmentation as Semantic-Based Regularization cites this paper.

Weakly Supervised Segmentation as Semantic-Based Regularization SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T21:55:05.811156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T21:52:28.980945Z digest=sha256:8c024db550847db7da391f2e79321d68f97c09587081006dc44ade78c32cdd93

Observation 8782fe26-5876-494b-8ddd-ea6f6f333282 · inbound

Generating HDR Video from SDR Video cites this paper.

Generating HDR Video from SDR Video SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T05:09:44.544032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-15T05:09:09.712454Z digest=sha256:8a60c51e585d9dddfec98a062dbbcdb339fa051d167fa11474287eebf8633fd4

Observation 7f3083ab-5f1c-458b-ba58-ac43cd459d82 · inbound

MLFFM-SegDiff: A Multi-Level Feature Fusion Diffusion Model for Skin Lesion Segmentation cites this paper.

MLFFM-SegDiff: A Multi-Level Feature Fusion Diffusion Model for Skin Lesion Segmentation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:39:57.811788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T03:11:45.374853Z digest=sha256:3b943c73523a92dead3a9d298cfeb150daf661901378b76525b82df013ceee7d

Observation 806881ad-9f45-4634-9137-2b66c9ab1aca · inbound

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation cites this paper.

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-12T05:46:45.293902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:46:45.293902Z digest=sha256:ac6bb9af82327f8f40208d8569cc70969701f44c437b859a5f5e8f5fe482aa55