Pith. sign in

Paper Citation Record · LEDGER

Label-Efficient Semantic Segmentation with Diffusion Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2112.03126.

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

pith.paper-citation-record.v1
2112.03126 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:28:22.542146Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T08:44:14.108282Z

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 026e5ea6-5c9f-4934-9f9e-cb3388fe8ed2 · inbound

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

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows Label-Efficient Semantic Segmentation with Diffusion Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:44:14.111121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T08:42:04.321790Z digest=sha256:666d07c68318b68cf745f7137808eb4e4b435d08aaf0b66ce21acbb8cd75a402

Observation 08691dcc-daa6-49ed-bbc2-dda80b41b7f6 · inbound

Scaling Properties of Diffusion Models for Perceptual Tasks cites this paper.

Scaling Properties of Diffusion Models for Perceptual Tasks Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T22:02:10.969006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T22:02:10.969006Z digest=sha256:2f28382a919d55bb6dbde6d61826dd142edb98b5711bc3c6a3096d37be8d8517

Observation fcea8764-a65f-4612-88ce-0c7091b8682f · 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 Label-Efficient Semantic Segmentation with Diffusion Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T20:21:09.263028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:21:09.263028Z digest=sha256:b547f27e7892155d8b0fb132c806d95c9572937883a4ff0edc8a0bc0aa40aeb9

Observation 64198f8e-9fb3-4fd4-8e24-3d8b8785b8ce · inbound

$\textit{Revelio}$: Interpreting and leveraging semantic information in diffusion models cites this paper.

$\textit{Revelio}$: Interpreting and leveraging semantic information in diffusion models Label-Efficient Semantic Segmentation with Diffusion Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T14:23:52.690332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:23:52.690332Z digest=sha256:3ba4301233bd1ac5580712c865fc93794139a4b6f9af54218ed4c36a8d526bd0

Observation f98addd6-6c08-430a-9478-23df6c4e4cdd · inbound

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization cites this paper.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T04:35:24.605064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:24.605064Z digest=sha256:64c508b7f307d46b0318fb4e750737f1c352cb6373023424115faf51255dcfd9

Observation e2f8ad9a-079b-4b4d-aee0-f18a43f147bb · inbound

Pretrained Reversible Generation as Unsupervised Visual Representation Learning cites this paper.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Label-Efficient Semantic Segmentation with Diffusion Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T10:13:34.115204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:13:34.115204Z digest=sha256:6cab80da4749e76f285031a1105d96bb6454fced5554f2e59d4c31f3d4f6b150

Observation 3efdd5f4-98d6-4294-9ed0-ddd137465860 · inbound

Panoptic Diffusion Models: co-generation of images and segmentation maps cites this paper.

Panoptic Diffusion Models: co-generation of images and segmentation maps Label-Efficient Semantic Segmentation with Diffusion Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T23:02:16.039278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:02:16.039278Z digest=sha256:47561beab0a99ff189f9079b4ac4b15d43eb3f37d37309f2954ce8bc90765717

Observation c3653f49-ce7b-4db9-bca3-17cfb9b98bfe · inbound

Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation cites this paper.

Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:08.182315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:08.182315Z digest=sha256:9df55b23479628e4eb4c8e7146197e17e18adda8a2c8cf700bd607124089ba78

Observation 074a250a-4787-4aa2-a224-44ab5d51418a · inbound

Nested Diffusion Models Using Hierarchical Latent Priors cites this paper.

Nested Diffusion Models Using Hierarchical Latent Priors Label-Efficient Semantic Segmentation with Diffusion Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T20:13:45.170073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:13:45.170073Z digest=sha256:007f718d9636d68fa7cc1451dc4ce5699a0edc33d38da09c49228822f627abe9

Observation 160d2fc7-208e-4314-976a-3ac5110b3855 · inbound

Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation cites this paper.

Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:12.836745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:12.836745Z digest=sha256:d2e7556614076702b7258fa9239f6a1cb382a48d5182c87562f36da117537ab0

Observation d9359a8d-e7c7-4f8d-ab45-c9513933f26d · inbound

AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation cites this paper.

AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T11:38:08.110731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:38:08.110731Z digest=sha256:5561e586ac03e538c2d103ca5018f5765a60761244b579103e14532a537ae918

Observation 653f3683-6428-4f3b-a8f8-4898244ea7f8 · inbound

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

Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T10:20:55.698975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:20:55.698975Z digest=sha256:6d92d099b668ad70af17edec95eea454b08cc384394b0336f6cda98239b777d7

Observation 5e8f201a-c39c-4776-b0da-ffe4be0299b5 · inbound

InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models cites this paper.

InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:46.758587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:07:46.758587Z digest=sha256:eaded5205cb928b415aa17dd8075f13e430da4d9aa1f0974a1626106055a7389

Observation 9f9d7254-22b5-491f-917b-8be87231eb18 · inbound

Medical Semantic Segmentation with Diffusion Pretrain cites this paper.

Medical Semantic Segmentation with Diffusion Pretrain Label-Efficient Semantic Segmentation with Diffusion Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T20:50:42.810013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:50:42.810013Z digest=sha256:9cc0458a7baa866291728d6a84c9f6fbbd82274c40945033cb144b761d15a476

Observation e710feef-54de-40f5-b226-94cb27129ba1 · 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 Label-Efficient Semantic Segmentation with Diffusion Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T13:00:05.374361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:00:05.374361Z digest=sha256:0c2c47e841b8a778deddbf432da9ec02a9e393b30cd319b1809c2c02932f4c03

Observation 770be66a-b762-4493-8a3d-cb35658fbf49 · inbound

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

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Label-Efficient Semantic Segmentation with Diffusion Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T22:51:30.342260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:51:30.342260Z digest=sha256:ab7b78d659ff2d1982a6ceb4cae3824ea6f16d034fc299ab6b928b31d1df64bf

Observation 04330d2f-57f1-4fe0-b2e8-b50412ef3e2a · 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 Label-Efficient Semantic Segmentation with Diffusion Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T14:11:54.432750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:11:54.432750Z digest=sha256:76b2ac460120152de2a32998a1f1e2d0ffc4c96813948cb40995c6bfb635cace

Observation ef869224-8056-4297-88a3-fbc7f7f00103 · inbound

LDPoly: Latent Diffusion for Polygonal Road Outline Extraction in Large-Scale Topographic Mapping cites this paper.

LDPoly: Latent Diffusion for Polygonal Road Outline Extraction in Large-Scale Topographic Mapping Label-Efficient Semantic Segmentation with Diffusion Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T05:28:22.542146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:28:22.542146Z digest=sha256:0003605c9347941eb77f0e72a1323309264aa90783b2e22f1d06d3f0ca660872

Observation bc643ebd-1cc4-401b-a432-8deeac00fcd0 · inbound

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly cites this paper.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Label-Efficient Semantic Segmentation with Diffusion Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T04:48:49.856993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:48:49.856993Z digest=sha256:53a255076b5fddf4578e94047818b2e224ba2940cfdbe3946da12735be7d7ed0

Observation 037607fb-6120-4d45-a36a-7939c16681da · inbound

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review cites this paper.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Label-Efficient Semantic Segmentation with Diffusion Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T22:56:46.348329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:56:46.348329Z digest=sha256:085b0f8da449b6edc874a8e7acc61b3e505e730eff1cc7eb2102b70c8cc52d3c

Observation 3d16dbe7-a34c-471c-b958-4b8c5d3a2a15 · inbound

Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review cites this paper.

Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review Label-Efficient Semantic Segmentation with Diffusion Models

Reference 116

Resolution
unresolved
no resolver link, observed 2026-08-15T21:00:36.427721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:00:36.427721Z digest=sha256:ca42a5a5e00712e5a011dd159fa0f6a1efb3b41fdda5cba16ee076d622a230c7

Observation 1bc4db5b-28bb-4bfa-9ed3-46ec89f09d9a · inbound

gen2seg: Generative Models Enable Generalizable Instance Segmentation cites this paper.

gen2seg: Generative Models Enable Generalizable Instance Segmentation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:31:40.568067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T14:31:30.651144Z digest=sha256:1a06f40d4eb70649f8dd0b77fc1fa583ed76b1793544fb85d8cdbc94eec36482

Observation 72e20c05-4c01-4010-87e0-86d6874a4309 · inbound

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation cites this paper.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:42.795608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:42.795608Z digest=sha256:4fab09fc54afd3a90a1ce10e4fc2e05056335327c4d770d5f1ec9681f3056da4

Observation 9e8985c9-512c-428c-93aa-bc145611396f · inbound

CA-Diff: Collaborative Anatomy Diffusion for Brain Tissue Segmentation cites this paper.

CA-Diff: Collaborative Anatomy Diffusion for Brain Tissue Segmentation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T22:01:15.286296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:01:15.286296Z digest=sha256:f90b6f5f048052724c5ebf4209f4826c04c21819e1ed9ac9e6a2d26445f8f67d

Observation 438a0d5c-df02-4ee0-b4b2-9f7bf426e24e · inbound

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation cites this paper.

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T21:46:33.750731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:46:33.750731Z digest=sha256:a2296d95dfe6b8bdd8917bfcb2387c99f043587d4c04fe51933f8364f4dd50e7

Observation 1a33835f-19c3-4a6d-b1dc-6dfd2f29a28e · inbound

Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback cites this paper.

Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Label-Efficient Semantic Segmentation with Diffusion Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T20:35:51.657841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:35:51.657841Z digest=sha256:eac14255988c424df555714962cf669c50f11bfb49bf4435ff4e9a6048919334

Observation 6e6e0f31-bae2-4047-959f-3614f7a7cbef · inbound

CPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissection cites this paper.

CPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissection Label-Efficient Semantic Segmentation with Diffusion Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T20:21:41.736235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:21:41.736235Z digest=sha256:57fc2287cd16deedb56038dba40cbd5d1f228616269e38f4fcfc22fe1d436ba2

Observation 37ac8200-9b03-43a2-b981-2f1251844155 · inbound

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model cites this paper.

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T18:12:43.141463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:12:43.141463Z digest=sha256:42877083b17194af7be4fdd707a67d0ae4b242b78c4501a6154ade06d0fcd8de

Observation 08e64d26-38da-44d1-afa9-a48060fe07fe · inbound

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation cites this paper.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T15:39:09.975730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:39:09.975730Z digest=sha256:9d729b30f36cfa25d442bfd146efbe6d1d62bafe4e97e064de6053edc36088b1

Observation 364298ec-df1d-45a5-a378-54f130c3a37e · inbound

Uni-DocDiff: A Unified Document Restoration Model Based on Diffusion cites this paper.

Uni-DocDiff: A Unified Document Restoration Model Based on Diffusion Label-Efficient Semantic Segmentation with Diffusion Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T01:00:39.124403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T01:00:39.124403Z digest=sha256:48d2dd1ff43e7b9c8d2804187aab38357f51918e8b1039966cd2c65a8f2939ac

Observation 4b7b3b30-62e6-4912-a898-c44e5968ea64 · inbound

GS: Generative Segmentation via Label Diffusion cites this paper.

GS: Generative Segmentation via Label Diffusion Label-Efficient Semantic Segmentation with Diffusion Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:06.894524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:54:06.894524Z digest=sha256:11644b74a3bd9ac9ded70664f6b027e7b056e0f6cbf76cd98f8e5be98e501d05

Observation b4098fa9-4e78-40d4-a090-828b87a090c3 · 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 Label-Efficient Semantic Segmentation with Diffusion Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T12:27:44.258086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:27:44.258086Z digest=sha256:cbdcb73b792130577ae83a364f3dfc67945bc9196e66d3cc08234b56c6f7b6dd

Observation 5b3fa7a2-b39b-4d4a-8ab2-95bce7826e08 · inbound

Revisiting Autoregressive Models for Generative Image Classification cites this paper.

Revisiting Autoregressive Models for Generative Image Classification Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T22:10:29.821610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:10:29.821610Z digest=sha256:2304607d1b495e12c32a89c4fa7656668acf84c174cd6ab628017c305e7348ef

Observation 9404a1fc-073c-455c-b4d2-34d5d8cff3de · 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 Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:08:18.368110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T21:03:37.389062Z digest=sha256:f7028782e266542d810cd39640b799df27f2434fa06b787d162f1a521835b33d

Observation 125204e3-7f94-480a-b83c-f37f9ecadc58 · inbound

Diffusion Model as a Generalist Segmentation Learner cites this paper.

Diffusion Model as a Generalist Segmentation Learner Label-Efficient Semantic Segmentation with Diffusion Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:41:15.677242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T04:37:20.434070Z digest=sha256:40ad3ae58e79216ddbb201951820dc6d6953d287ce733915dee040cfa422715b

Observation 975a2509-2ca4-4861-a6b8-8b912f76ad7e · inbound

From Diffusion to Rectified Flow: Rethinking Text-Based Segmentation cites this paper.

From Diffusion to Rectified Flow: Rethinking Text-Based Segmentation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:20:38.490714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T18:38:03.132349Z digest=sha256:a74d24c79a6368f11cedf27bae5ebd2d76dd74e10b51fdc8482e3a4ddbbeb678

Observation 55e0eb00-3a7d-46f5-a60c-26ab71c77335 · inbound

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning cites this paper.

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning Label-Efficient Semantic Segmentation with Diffusion Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:37:51.881828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T19:37:19.404335Z digest=sha256:8fa17caa79dd0150b96104076423ff72955822df59eb8a80545b97c6736d1677

Observation 90df406d-c705-469c-acb8-84f7ab75e6eb · inbound

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice cites this paper.

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice Label-Efficient Semantic Segmentation with Diffusion Models

Reference 78

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T22:43:50.954794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T22:41:44.510546Z digest=sha256:0426907fe97dd37ac0db0cb125a293aa8c83263b10c36108f811fdd2d9b1969d

Observation 8ae0f3b9-d9ac-4f2f-8687-c1063dfa5d4b · inbound

Functionalization via Structure Completion and Motion Rectification cites this paper.

Functionalization via Structure Completion and Motion Rectification Label-Efficient Semantic Segmentation with Diffusion Models

Reference 168

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T12:28:16.968648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T12:25:07.157086Z digest=sha256:ccc6566ca7b20b3a1ceb53223d1a762024a0860f246c8f73423be476f3ec0296

Observation d28ad6f6-3364-43b2-a280-743f5ac85978 · inbound

What Makes Synthetic Data Effective in Image Segmentation cites this paper.

What Makes Synthetic Data Effective in Image Segmentation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:13:06.697175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T07:08:16.047730Z digest=sha256:55937f846725f4e09502bd36af7e2d662d7362ed8a585645d9a6cb9b8b95192b

Observation 95fd337a-0ef9-4158-8b8f-ac5186eed934 · 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 Label-Efficient Semantic Segmentation with Diffusion Models

Reference 29

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:cf86f8317ecac7fd03bf71fc9b6d60b377f6c2191a57292a71f1b114f4290328

Observation ef3cd519-cc0f-407c-8d1f-42d6fca45f97 · inbound

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping cites this paper.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Label-Efficient Semantic Segmentation with Diffusion Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.774744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.774744Z digest=sha256:19fab994a88e6fc01fab515719156c073d806541550b9dbf1fda3e7a794e397a