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Paper Citation Record · LEDGER

Label-Efficient Semantic Segmentation with Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:11:54.432750Z

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

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External citation measurements

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T08:42:04.321790Z digest=sha256:e69095726854f764a1ed2b772762717044fa5982c500e36bbfe6b6ba765f78a3

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

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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=sha256:38642140a96321afded0d96ff787449ca0faf828d502205234f03f3c169ebbba

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T14:31:30.651144Z digest=sha256:c5a33ddf09f59f88b1d2329727e4cf7d4415ca82e454dddd260c31ee787d955b

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

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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=sha256:3b65e76f517f649bfa4e8c7dc7d70e90fede3f063e18ef18c8a3b7699275a497

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

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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=sha256:79d03f3471d9d7e33ec5c8ccbd7e87d29b4965d78a73d6eaca951d1e4f9dae26

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

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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:f8ef581509003659d039874afdfc3ba0a3bd420f186a06398399544ab34cfa13

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:35:51.657841Z digest=sha256:b72dfb74a8932379dceb8315d09d06e763508d5d74c251ac96b776f1f20a8aae

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

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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:ffa2bfeb35df555846fac858f99c4e4a2c38ca6db6ec0c663c0f715346a67b9c

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

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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=sha256:866fedea070472c48b16cb92c58dde6feef9896ba7a00d04bf1fa660cc63f62b

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

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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=sha256:0e9f05fb5fe425c60966b1557d76422e4b0895fab2251c9d5f9d8080920a66f8

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

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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=sha256:4fc1a47af276e42f1b25ec33dd7dd6f05891f12aa20f1758cf2a4e878f2f1752

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

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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=sha256:274e138af1fabda209fe31189324ab2031c990879aa0288f6b3c9467ef55bc49

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

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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=sha256:8ba614696a4ab770a0acd6e994c09bb5ce3df86905bf3e172d72a314bf17085a

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T21:03:37.389062Z digest=sha256:953e289634c89d69abbd32cbeca0fdb16f6f5be9b1fb284b549e64084b5367e3

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T04:37:20.434070Z digest=sha256:a2ff6ba9df728301992eae4af5e07fa1fae2f8c53c1aaadb7936df2bee351c8d

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:38:03.132349Z digest=sha256:6a1bf0f94b809a8e15ccfcc329a6c838377d320e619a9fadb223952d7622c403

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:37:19.404335Z digest=sha256:f0437f3eb501bddc7bfd04e136556690bfa447beeadcfe3840624eda8480f8c4

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T22:41:44.510546Z digest=sha256:0bea8c6600a73130e0b0f8e50a12390ae15ca98d70d35fcc07da6ac075dcae4f

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T12:25:07.157086Z digest=sha256:f52c8e2a1233bc4fa3df50843de6aee4b3abc13454d56e1ef2472d7bc3d2c736

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T07:08:16.047730Z digest=sha256:03a77aba03101b71159f4c62a3c00f72212cca3f946c94d1781156ae5cccd69e

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

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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:f394d4416ced09f6cf15810ac10b76070da0ff1a66a5026e3f188c1c060f51cb

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.774744Z digest=sha256:5595f2f5f41a868aef30be59937a269612b14ccbeb602897afc7aef6ab73f9fb