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Paper Citation Record · LEDGER

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model

As of 13 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2411.12290.

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

pith.paper-citation-record.v1
2411.12290 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:47:52.576639Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fcaabb2-b13d-4bed-8fea-0880adafbf52 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Blended diffusion for text-driven editing of natural images

Reference 1

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Observation 6588dd23-3615-47e8-829b-e6b17ba2e9c4 · outbound

This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Se- mantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 2

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Observation af8def67-9370-4774-a634-fcfcc8a009d7 · outbound

This paper cites The lov´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model The lov´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Reference 3

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Observation 22198e29-6980-431c-9524-2ee3bf26ef2d · outbound

This paper cites Demystifying MMD GANs.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Demystifying MMD GANs

Reference 4

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Observation fc7b943e-30cd-45f5-8b54-a0b2c738f821 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Efficient geometry-aware 3d generative adversarial networks

Reference 5

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Observation 07dd1b5a-9876-496b-9c78-cdc0764f0690 · outbound

This paper cites 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0a39b6bd-0fe0-484e-8019-4ce662ec0816 · outbound

This paper cites Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation

Reference 7

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Observation ccd366f0-fb14-4e2b-91d7-60ea1fefdfa6 · outbound

This paper cites Make-a-scene: Scene- based text-to-image generation with human priors.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Make-a-scene: Scene- based text-to-image generation with human priors

Reference 8

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source=pdf_text observed=2026-08-12T17:47:52.402002Z digest=sha256:d290d932cb883975ae74a8dbe0d06fb4be1b29d41cd3a05d1ec3617d1b112f64

Observation 935702eb-70f6-4d83-ace9-c82062429f61 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 9

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source=pdf_text observed=2026-08-12T17:47:52.407589Z digest=sha256:0c2fd84c8a3d0079bffeca5e5829841cdf96ba2d62b81712473743e519c6e964

Observation 787e9498-ece4-449b-b357-255220986724 · outbound

This paper cites Classifier-Free Diffusion Guidance.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Classifier-Free Diffusion Guidance

Reference 10

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Observation 67b2dcdb-01f7-44d9-8ae9-c2c982ec9421 · outbound

This paper cites Denoising dif- fusion probabilistic models.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Denoising dif- fusion probabilistic models

Reference 11

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a0786638-9290-43fa-91d5-d6d00fc44e00 · outbound

This paper cites Sym- phonize 3d semantic scene completion with contextual in- stance queries.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Sym- phonize 3d semantic scene completion with contextual in- stance queries

Reference 12

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3adb8731-4725-4963-b19d-03d4fd05c82e · outbound

This paper cites Diffindscene: Diffusion-based high-quality 3d indoor scene generation.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Diffindscene: Diffusion-based high-quality 3d indoor scene generation

Reference 13

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 722903cd-9d91-4f74-a8bb-cfe301306d64 · outbound

This paper cites Holodiffusion: Training a 3d diffusion model using 2d images.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Holodiffusion: Training a 3d diffusion model using 2d images

Reference 14

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b4c7d624-df16-4782-957d-ec27e617f18c · outbound

This paper cites Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data

Reference 15

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Observation 51c37aa4-35a0-4664-8d97-843d8e83c8cc · outbound

This paper cites Semcity: Semantic scene genera- tion with triplane diffusion.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Semcity: Semantic scene genera- tion with triplane diffusion

Reference 16

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:47:52.442229Z digest=sha256:e58c8c4d91568e2e5a6677c7cb28d8cd545cde437fcd3038bbce82cf2ddd8291

Observation 89426067-785b-435a-aaba-701686e676a5 · outbound

This paper cites Diffusion- sdf: Text-to-shape via voxelized diffusion.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Diffusion- sdf: Text-to-shape via voxelized diffusion

Reference 17

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Observation 7786630f-afec-4d4f-92f9-ae531dea3c18 · outbound

This paper cites InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior

Reference 18

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Observation beaa02d4-5e21-400c-bd9f-0aed45dc8058 · outbound

This paper cites Pyramid Diffusion for Fine 3D Large Scene Generation.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Pyramid Diffusion for Fine 3D Large Scene Generation

Reference 19

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Observation 8e040e4a-b4e5-4cfd-a7dc-deab0299548a · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Repaint: Inpainting using denoising diffusion probabilistic models

Reference 20

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation adb842ae-b9cf-422e-b8ef-fdf5a9ec7034 · outbound

This paper cites Text2mesh: Text-driven neural stylization for meshes.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Text2mesh: Text-driven neural stylization for meshes

Reference 21

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Observation 91f11197-336e-4d63-80e4-902adae589c1 · outbound

This paper cites Autosdf: Shape priors for 3d comple- tion, reconstruction and generation.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Autosdf: Shape priors for 3d comple- tion, reconstruction and generation

Reference 22

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Observation 3a079e31-c417-49d7-a69f-b895be53a851 · outbound

This paper cites Difffacto: Controllable part-based 3d point cloud generation with cross diffusion.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Difffacto: Controllable part-based 3d point cloud generation with cross diffusion

Reference 23

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Observation d31c1198-34bd-4794-a69f-56618de38695 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 24

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source=pdf_text observed=2026-08-12T17:47:52.482108Z digest=sha256:8f1128f2bc86605c2ee57365385b7f99396f060c4c627e8c2804e0b7f69e7f32

Observation 394701a6-e51b-43a5-99e4-bfcdb60821fe · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 25

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Observation 8d593bbc-65b3-46ae-9950-1ee2faa429ba · outbound

This paper cites Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies

Reference 26

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b7d01440-a9ec-45d2-97b1-5926de7370b4 · outbound

This paper cites Lmscnet: Lightweight multiscale 3d semantic completion.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Lmscnet: Lightweight multiscale 3d semantic completion

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3a57a0c4-b058-420b-bfbc-14486d725902 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model High-resolution image synthesis with latent diffusion models

Reference 28

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Observation 27a86f5c-7a76-48f3-9940-e1f2e4bb9ab8 · outbound

This paper cites Palette: Image-to-image diffusion models.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Palette: Image-to-image diffusion models

Reference 29

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source=pdf_text observed=2026-08-12T17:47:52.506662Z digest=sha256:36f242f6e857e0949b9e444f952397853a32d3ca1cc1a0a857c8e429b064f193

Observation 7e9491cb-4bf3-496e-aa23-d48e11e14803 · outbound

This paper cites Improved techniques for training gans.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Improved techniques for training gans

Reference 30

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source=pdf_text observed=2026-08-12T17:47:52.511392Z digest=sha256:8ecf9f9209642ad55e3f444726157a54b9be85f87a23feb36bf4e60c8e75231e

Observation 39a3f738-2191-4b8b-aac2-60dd7b0d4706 · outbound

This paper cites 3d neural field generation using triplane diffusion.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model 3d neural field generation using triplane diffusion

Reference 31

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source=pdf_text observed=2026-08-12T17:47:52.516074Z digest=sha256:d0155d48e2c76f038a7c52e703705ebe93becec6537110a2f639c81577a2bea2

Observation ffa47de5-5980-4f00-9c17-bf8c84f0c45b · outbound

This paper cites Diffuscene: Denoising diffu- sion models for generative indoor scene synthesis.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Diffuscene: Denoising diffu- sion models for generative indoor scene synthesis

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fbb3fd3f-0db8-4cb1-8cc3-8a1f1af14fa5 · outbound

This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving

Reference 33

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:47:52.525944Z digest=sha256:e9b8ca5ac81627fed00c4731d6d1015794ec74c9a9787ea95e17fb2de460f005

Observation d633b044-15d3-4ded-b2a7-0aa5626647e1 · outbound

This paper cites Lion: Latent point dif- fusion models for 3d shape generation.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Lion: Latent point dif- fusion models for 3d shape generation

Reference 34

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source=pdf_text observed=2026-08-12T17:47:52.530997Z digest=sha256:b40458bfdce959e2f5eb1ad87ae17c9fd1fb8cd02037889d21af17c59f2e9368

Observation 2f75f627-97a7-4d74-83d8-4628609fbbfd · outbound

This paper cites OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

Reference 35

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Observation f9fd17e3-df1b-4a2b-bae8-3bbb9e5d2ba2 · outbound

This paper cites Pretraining is All You Need for Image-to-Image Translation.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Pretraining is All You Need for Image-to-Image Translation

Reference 36

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no resolver link, observed 2026-08-12T17:47:52.541663Z

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Observation 681eecea-b28c-48a0-a70e-164bc7e05b92 · outbound

This paper cites Motionsc: Data set and network for real- time semantic mapping in dynamic environments.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Motionsc: Data set and network for real- time semantic mapping in dynamic environments

Reference 37

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 45a7488c-9668-483d-bda2-4b64479745f6 · outbound

This paper cites Scpnet: Se- mantic scene completion on point cloud.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Scpnet: Se- mantic scene completion on point cloud

Reference 38

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4cd2871b-bf6e-47d4-80c8-34d5c7e99d0f · outbound

This paper cites Disn: Deep implicit surface network for high-quality single-view 3d reconstruction.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Disn: Deep implicit surface network for high-quality single-view 3d reconstruction

Reference 39

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unresolved
no resolver link, observed 2026-08-12T17:47:52.557220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 741f0e2a-6c75-49fa-b0dd-96f8ff207ea0 · outbound

This paper cites Commonscenes: Generating commonsense 3d indoor scenes with scene graphs.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Commonscenes: Generating commonsense 3d indoor scenes with scene graphs

Reference 40

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e41161f8-60bd-494a-bb4c-dc1f7e1f636a · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Adding conditional control to text-to-image diffusion models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T17:47:52.567244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d38b2c64-ea21-429e-b35c-205b3445e24f · outbound

This paper cites Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation

Reference 42

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no resolver link, observed 2026-08-12T17:47:52.572072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:47:52.572072Z digest=sha256:7a379e1c093fbbe246356ed5a47f5720351273b96a117a41b5051eba0be32355

Observation dd7f6e42-acd4-415c-a3fb-76a153ecddcf · outbound

This paper cites 3d shape generation and completion through point-voxel diffusion.

SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model 3d shape generation and completion through point-voxel diffusion

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:47:52.781357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.