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Paper Citation Record · LEDGER

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion

As of 10 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2507.04403.

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

pith.paper-citation-record.v1
2507.04403 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:54:46.829831Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

77 of 77 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 490e4878-c6d6-4613-bfc9-fa45799ac7c2 · outbound

This paper cites CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 10923c09-836f-49a8-8f41-4805fefca6f2 · outbound

This paper cites Persistent nature: A generative model of un- bounded 3d worlds.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Persistent nature: A generative model of un- bounded 3d worlds

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.729206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.561942Z digest=sha256:e92b7ff6cf9320c40bcfbbaf880aaf57af51ede73f00fadb0f5c64385daa72f3

Observation 6094a990-40a6-4a21-aef7-58aac5bedac6 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion ShapeNet: An Information-Rich 3D Model Repository

Reference 3

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no resolver link, observed 2026-08-06T19:54:46.565758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.565758Z digest=sha256:a128a895a47535741a45d44cab8e7ecc6a6c3028e584345c337dc076d8509b70

Observation 6153ff79-4780-48b9-8440-a4f53c840f70 · outbound

This paper cites MeshXL: Neural Coordinate Field for Generative 3D Foundation Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion MeshXL: Neural Coordinate Field for Generative 3D Foundation Models

Reference 4

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no resolver link, observed 2026-08-06T19:54:46.569725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.569725Z digest=sha256:60ba6400a0b2d9ae22be91fb2ef0244df73c6431fc09cfda83c7331c7027c265

Observation e4e423cc-ee9f-48f8-a6f7-6dcf0405eca0 · outbound

This paper cites MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.573545Z digest=sha256:93dcef88f1b63c4f8616df10059fa7f19bb9eefbc74fc8d2fc3614e4b1fae697

Observation d1a19442-8538-422b-9863-19b7c0211dbb · outbound

This paper cites MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization

Reference 6

Resolution
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no resolver link, observed 2026-08-06T19:54:46.577622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.577622Z digest=sha256:1d6c1efc1bf6323e13515a434f3b4483dd26eed4a2ed7fa6039a2d0a9a6835b0

Observation a3e999ef-c310-4098-a307-3bf742683ab7 · outbound

This paper cites Scene- dreamer: Unbounded 3d scene generation from 2d image collections.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Scene- dreamer: Unbounded 3d scene generation from 2d image collections

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.719958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.581481Z digest=sha256:5a8cbecc867db33dfb3d491af6d9d8c24a43000259f42ab3969126313576eb38

Observation ac47e117-8895-4575-a87a-86cfb4993119 · outbound

This paper cites Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts

Reference 8

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no resolver link, observed 2026-08-06T19:54:46.585030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.585030Z digest=sha256:0a0d3890f90ad503bbc39d0e3b99d4e00a8d77dee989ec0d99fefba448cab039

Observation 43e9db2d-cd20-427a-9ec5-fd0bc25defcd · outbound

This paper cites Set-the-scene: Global-local training for generating controllable nerf scenes.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Set-the-scene: Global-local training for generating controllable nerf scenes

Reference 9

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raw_fallback, observed 2026-08-06T19:54:47.710261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.589023Z digest=sha256:7dafb6c344cc5408d754202403d30c89a24b67a7c782d858befe11e9d3a17129

Observation 66626eb8-bea4-4ea1-a6dc-b4cb1f3d79fd · outbound

This paper cites Streetscapes: Large-scale consistent street view generation using autore- gressive video diffusion.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Streetscapes: Large-scale consistent street view generation using autore- gressive video diffusion

Reference 10

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raw_fallback, observed 2026-08-06T19:54:47.700468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1464456e-be38-4270-8481-49e252708363 · outbound

This paper cites CityCraft: A Real Crafter for 3D City Generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion CityCraft: A Real Crafter for 3D City Generation

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.596050Z digest=sha256:bf9ed90bb506a71d887120c9756c97343bce17846099e7d7bc24cf6a1da1e7e9

Observation 2a786048-6e5f-4a0d-afe9-89299b590211 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Diffusion models beat gans on image synthesis

Reference 12

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no resolver link, observed 2026-08-06T19:54:46.599797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.599797Z digest=sha256:1c88a5d936c7bb6bfe9330992e187fdadf048a7c041ec5c631914cf5501d1bda

Observation 8ac28178-7143-41e4-90aa-5e76ae7fe322 · outbound

This paper cites SynCity: Training-Free Generation of 3D Worlds.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion SynCity: Training-Free Generation of 3D Worlds

Reference 13

Resolution
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no resolver link, observed 2026-08-06T19:54:46.603260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.603260Z digest=sha256:3bbbb60b7ac17019a2f540868f85b3372f582ca4efd1f565e822edb91206a0d6

Observation 9a32de57-59a3-4c31-8f44-9f7c9fe1ca85 · outbound

This paper cites Disentangled 3D Scene Generation with Layout Learning.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Disentangled 3D Scene Generation with Layout Learning

Reference 14

Resolution
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no resolver link, observed 2026-08-06T19:54:46.607165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.607165Z digest=sha256:baf694b0b73b713f23b41faf0ceba225dae8f3a2cbea3a9625724f2e3405744f

Observation 5d1b4f5a-f9dc-466f-b3ad-acf6e9d46c04 · outbound

This paper cites Blender - a 3d modeling and animation software, 2025.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Blender - a 3d modeling and animation software, 2025

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.683515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.610765Z digest=sha256:79b8f9b49e6cd29b6979ed3e6721f22006fdc43ac23eb28e4636e2660847b031

Observation 08d5615e-f28f-476c-88e4-90c569ad5af4 · outbound

This paper cites Scenescape: Text-driven consistent scene generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Scenescape: Text-driven consistent scene generation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.673846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.614086Z digest=sha256:7ee0a4351ddc675db5aa636f6942d4c3e527ec0a8a0aac23f8e526f1ac17bd34

Observation bca23d07-0645-4fac-aa07-18f31c5baf2c · outbound

This paper cites Gancraft: Unsupervised 3d neural rendering of minecraft worlds.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Gancraft: Unsupervised 3d neural rendering of minecraft worlds

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.663620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.617313Z digest=sha256:151e4ca2673c1465cedbd70b3e6bb86cf727e95206b1b1a0606bda1dddc6c988

Observation ba00dd5e-d0a6-4cdf-8a73-4c8417e14950 · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion LRM: Large Reconstruction Model for Single Image to 3D

Reference 18

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no resolver link, observed 2026-08-06T19:54:46.620350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.620350Z digest=sha256:b89b6eb9dd3a8c8c20379073cae61ea487e3091d5f8640323b7ac32a9967617d

Observation e54be0d0-625a-4adf-ab9d-8dd1a7bf2e40 · outbound

This paper cites Benchmarking implicit neu- ral representation and geometric rendering in real-time rgb-d slam.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Benchmarking implicit neu- ral representation and geometric rendering in real-time rgb-d slam

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.652556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 05f8f192-844d-4190-b760-8003e39a9c4f · outbound

This paper cites Neural kernel surface re- construction.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Neural kernel surface re- construction

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.642620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ad1f87bb-69d1-4822-b952-c80dc1ffe84d · outbound

This paper cites Neural wavelet-domain diffusion for 3d shape generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Neural wavelet-domain diffusion for 3d shape generation

Reference 21

Resolution
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raw_fallback, observed 2026-08-06T19:54:47.632670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.630683Z digest=sha256:ee00aaadab0664c97961b26fa5c89dd076191f910553482038cb706383d13984

Observation e22eeeb5-31ee-491b-a6e2-5c133525eee4 · outbound

This paper cites A general frame- work to boost 3d gs initialization for text-to-3d generation by lexical richness.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion A general frame- work to boost 3d gs initialization for text-to-3d generation by lexical richness

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.622791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.634243Z digest=sha256:634650c9aeeacd93462ecd8c8f1f5cf05fca05c271a954477294cacbb9e53515

Observation c032b509-04f7-4fd7-ba82-607d7ce0a009 · outbound

This paper cites Eslam: Efficient dense slam system based on hybrid representation of signed distance fields.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Eslam: Efficient dense slam system based on hybrid representation of signed distance fields

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.613187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.638079Z digest=sha256:c2287de86dc65001ac9b72e869b5c5707801bcef1255cf5d1be2cce57f57f2a5

Observation 7c271299-62cf-4a23-bfa6-06912bcc9cfc · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion 3d gaussian splatting for real-time radiance field rendering

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.641736Z digest=sha256:5b10426d969c13c10c7ab82baf22d595efeb1f75e3fcfa4555ee9fe39bc918a3

Observation 802a889f-4b0a-42a6-87f0-a29b24d0972b · outbound

This paper cites NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes

Reference 25

Resolution
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no resolver link, observed 2026-08-06T19:54:46.645119Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.645119Z digest=sha256:878606d80258fac3730083ca8827eee557df0102f2e30b52fceaa97b658b088f

Observation 57a50da9-5284-4185-b27b-2dd83b6257fa · outbound

This paper cites Ground- ing image matching in 3d with mast3r.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Ground- ing image matching in 3d with mast3r

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.596683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.648555Z digest=sha256:f2a0b1ff5f39f174e0768c86da77eadb16e932596a0c983c3bca4eaf80068e30

Observation 63d8a6ae-9446-4e55-8435-68ba111e4fb7 · outbound

This paper cites SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs

Reference 27

Resolution
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no resolver link, observed 2026-08-06T19:54:46.651951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.651951Z digest=sha256:0b91edd286471296a62c41f6b72e1e8bff7d6d82ad1bf2bb8ddd275f55bdae65

Observation a1636139-5be1-4a3b-9e8b-ace8168178ab · outbound

This paper cites CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis

Reference 28

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unresolved
no resolver link, observed 2026-08-06T19:54:46.655466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.655466Z digest=sha256:743d37bd59a5fca784cd7f981580a37f9b1f2accec082a9bab80302eb30b1a23

Observation 5db7aa7d-5fe7-4ee1-aa89-1837b07014b9 · outbound

This paper cites Sat2vid: Street-view panoramic video synthesis from a single satellite image.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Sat2vid: Street-view panoramic video synthesis from a single satellite image

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.586727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.658706Z digest=sha256:178328e5b9ec9d1234313e8108c5503146045ab6171b4e8b9734c62e824ec92f

Observation 18c476ac-9a89-4717-8ad9-5349c40bb8f1 · outbound

This paper cites Sat2scene: 3d urban scene genera- tion from satellite images with diffusion.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Sat2scene: 3d urban scene genera- tion from satellite images with diffusion

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.577217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.662137Z digest=sha256:1faf9a7270a9fb5cdec08c466f76a6dd856017e7109c390cf8cf86c7b2b7e5a9

Observation 74d2ece3-f830-4e78-8270-3bc07cd94572 · outbound

This paper cites Infinicity: Infinite-scale city synthesis.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Infinicity: Infinite-scale city synthesis

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.567789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.665363Z digest=sha256:45b2f842649fc8b423af2d9124df8ac0b0d41a87022a469fd06cf77dcbacbd58

Observation ae2b7049-ebce-460c-8575-27ba6e91a84c · outbound

This paper cites WorldCraft: Photo-Realistic 3D World Creation and Customization via LLM Agents.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion WorldCraft: Photo-Realistic 3D World Creation and Customization via LLM Agents

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.668571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.668571Z digest=sha256:6654dea1b33026c052ac8d190956ddb6efdb24cb32eccb02532061b4b577b4d9

Observation 28cb0b5e-ffd1-4c17-a7ae-f23f3e20f0db · outbound

This paper cites Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.672627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.672627Z digest=sha256:9925588952c301a3d0bbc68db14bb5c27521ce5bfd7713bc070a901d8fb2df37

Observation 1fd59185-2ea6-40da-a285-09f1e3210dc8 · outbound

This paper cites Geometry-aware satellite- to-ground image synthesis for urban areas.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Geometry-aware satellite- to-ground image synthesis for urban areas

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.558298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.676351Z digest=sha256:eaa5fc3aa8937085931b9cfef50b80fdd80b8f4666383fa34a25d240ba29d14e

Observation 48d92671-0b36-40a4-8568-9915846aeff9 · outbound

This paper cites InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.680126Z digest=sha256:dc2c14c34649ed66239c6dd797adc7d5e745fd219435026a158440d361e72e2d

Observation 2e9bfbaf-22bc-4c22-b9b5-ebd561c67518 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 36

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:54:46.684137Z digest=sha256:47a247b55708a5cee5ddbf490daaf9cd49591a4d2c91cdcb7d70c2173eea5f5c

Observation f3192b49-7a00-420e-b6cc-08281651bba6 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion DreamFusion: Text-to-3D using 2D Diffusion

Reference 37

Resolution
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source=pdf_text observed=2026-08-06T19:54:46.687326Z digest=sha256:0c1e0b4dd075442765ecb3a6ea92fce9f1cc068b7530d89ac6ffc07e96d13679

Observation e0939573-91b0-4da0-882d-12d0c1cfc5c2 · outbound

This paper cites Sat2density: Faithful density learning from satellite-ground image pairs.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Sat2density: Faithful density learning from satellite-ground image pairs

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.543208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.692079Z digest=sha256:7e660afafdf40a3c58f0db75e48a87d73b5bd6f9d5e51259b95735e2a61caddd

Observation 3a2395dd-1864-45ee-9d67-b4b9d778a025 · outbound

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

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies

Reference 39

Resolution
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raw_fallback, observed 2026-08-06T19:54:47.534173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.696102Z digest=sha256:07fb6990ed72d63c979e19d51bcf615dbcb5505800e874c99358dfddb6125764

Observation e2190ea3-1b8a-4faf-ac59-fac18f650499 · outbound

This paper cites SCube: Instant Large-Scale Scene Reconstruction using VoxSplats.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion SCube: Instant Large-Scale Scene Reconstruction using VoxSplats

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:54:46.699314Z digest=sha256:6ab3df98165529367db91e082a6bea671a629635e237851ad0930cebe663d4d7

Observation e9ca4cb8-d7bf-4340-9571-96b838ca1e0b · outbound

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

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion High-resolution image synthesis with latent diffusion models

Reference 41

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.702627Z digest=sha256:d813bcd3b09206efd4bfd24c52404d2fd37dc8f73005588d1e0171ff5c8b24f8

Observation 93c0e0d1-ffad-46fb-a52e-39f0cc522d89 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Progressive Distillation for Fast Sampling of Diffusion Models

Reference 42

Resolution
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no resolver link, observed 2026-08-06T19:54:46.705922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.705922Z digest=sha256:d44a7bde6a8fadfcb348b594f7f89f8f4328bb631091a383cd46b1c104ce2401

Observation 5ac22220-e357-4388-9e8d-3aa7719db379 · outbound

This paper cites UrbanWorld: An Urban World Model for 3D City Generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion UrbanWorld: An Urban World Model for 3D City Generation

Reference 43

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.709422Z digest=sha256:c6079f8f1bb628cd79d7cc962ec92dfa57338b0769dfb1378341f03d3177f967

Observation 376d4bf1-baac-4e4c-9219-36f9bea4a5c5 · outbound

This paper cites Geometry-guided street-view panorama synthesis from satellite imagery.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Geometry-guided street-view panorama synthesis from satellite imagery

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.517478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.712710Z digest=sha256:f0948bbdecda8b1754404b2a2b7395070154647602f5f10db27b801985e3d63c

Observation 028de158-75fd-43f2-990a-c04ccc7d1e7c · outbound

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

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion 3d neural field generation using triplane diffusion

Reference 45

Resolution
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no resolver link, observed 2026-08-06T19:54:46.715704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.715704Z digest=sha256:f1fab9434f10151ba5c056e08ff475982f71651f21a8b4db00164d8ca29a5ddc

Observation c0c96617-a058-4724-820b-d85ac0cbd6f6 · outbound

This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Meshgpt: Generating triangle meshes with decoder-only transformers

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.499978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.718872Z digest=sha256:6ba1ced2c3c7377b7a54125a852c675af43cca5ee9b6fef926af4a01b235c6a0

Observation cc2ce367-e74b-4c77-b5de-165da9c18df7 · outbound

This paper cites Denoising Diffusion Implicit Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Denoising Diffusion Implicit Models

Reference 47

Resolution
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no resolver link, observed 2026-08-06T19:54:46.722038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.722038Z digest=sha256:e8872c2bf282d56ddfb565a2654dc0d8bb9171d848caa7a2693cbf59d8323ed3

Observation 8bc80ae3-da23-4b72-ba6c-89d9a0ef9d5d · outbound

This paper cites Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.490152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.725371Z digest=sha256:683e6eb3f44eb1b2ee3edd9d5ecd91a887e58c5ebe967ad607f745cdb0e0baa0

Observation be5469fe-3a20-4099-9b3c-b46dd3469602 · outbound

This paper cites EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation

Reference 49

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.728406Z digest=sha256:c40c27e655b6db9b54d93ca7d1a574b444f369894d7a73044c96d11311e5735c

Observation 606b30c3-8e69-44f9-89ac-d6ed9f536380 · outbound

This paper cites Cloudcompare (version 2.12.4) [gpl software], 2025.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Cloudcompare (version 2.12.4) [gpl software], 2025

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.478943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.731952Z digest=sha256:d8de6da1efa4c1fdfd836c3bfa2821e13700652a4c5e4725d18bd0029a32eb25

Observation c69bfb02-64ca-47cb-801b-37922ef51d4d · outbound

This paper cites Co- slam: Joint coordinate and sparse parametric encodings for neural real-time slam.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Co- slam: Joint coordinate and sparse parametric encodings for neural real-time slam

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.467767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.735405Z digest=sha256:89d7a051071acac7b42e31a8efe83976ff710cdaaf42a9dc826722c380cc7f1f

Observation 09e0b838-d792-4b85-85df-a39a71eaa3df · outbound

This paper cites LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models

Reference 52

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.738568Z digest=sha256:34b6e57fab9ad78b3de9372096491c58c57a5dbe5b8037c49ac264b66b62cc4d

Observation a798ae32-e79c-4902-8285-9902e96d0bd5 · outbound

This paper cites PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance

Reference 53

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no resolver link, observed 2026-08-06T19:54:46.742247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.742247Z digest=sha256:ec2534794296742f0da05d2f0e6347b6d5f53ed9dfbf090c4a418e2186b09d33

Observation 98cb752d-1a5f-40f7-9f7e-28e9a34cc093 · outbound

This paper cites Blockfusion: Expandable 3d scene gen- eration using latent tri-plane extrapolation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Blockfusion: Expandable 3d scene gen- eration using latent tri-plane extrapolation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.458016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.746723Z digest=sha256:e4f1f3561c7bfcdd54e20848ff599189781741c16fe3d9976c472dd300cc3bcc

Observation 71a6c7d4-59a0-4d9f-8302-ba737b2882ca · outbound

This paper cites Citydreamer: Compositional generative model of unbounded 3d cities.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Citydreamer: Compositional generative model of unbounded 3d cities

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.448168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.750045Z digest=sha256:710e70f5da277f95cbe7fb6873eb76670471dc8885a56da24d2f5128c609c94e

Observation 190572ef-eccb-48a5-b62a-42f9e9380a16 · outbound

This paper cites Generative Gaussian Splatting for Unbounded 3D City Generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Generative Gaussian Splatting for Unbounded 3D City Generation

Reference 56

Resolution
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no resolver link, observed 2026-08-06T19:54:46.753843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.753843Z digest=sha256:dec79dc3f64327aaccf325e78749f54a185d41c74cd0274f78a1ddd3759106a4

Observation 1e2ac75a-5b5e-4934-91ff-2d2051b571e7 · outbound

This paper cites GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data

Reference 57

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.757386Z digest=sha256:3feb4bd69f97e472bcf5d81a29dd19dc0132d0b95dc3655bc294cd014d4b11a4

Observation 9f03c743-923f-4fe9-9f48-842017a84810 · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.761453Z digest=sha256:4c4fa591d7cc913b892a4bca88fd5f128abd6e5678e3f26566c4182fdd8e7b72

Observation 84a6d004-a615-43ee-b695-fbd6336d1fe9 · outbound

This paper cites Geospecific view generation – geometry-context aware high-resolution ground view infer- ence from satellite views, 2024.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Geospecific view generation – geometry-context aware high-resolution ground view infer- ence from satellite views, 2024

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.439014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.765804Z digest=sha256:c53e56659e77ad902ff5cc57bb14eb5a6c2d30b8e5e20b031abd8d67ea8a8b74

Observation 35f3a40d-99d5-4fd8-85eb-0aab739b1885 · outbound

This paper cites Sketch2scene: Au- tomatic generation of interactive 3d game scenes from user’s casual sketches.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Sketch2scene: Au- tomatic generation of interactive 3d game scenes from user’s casual sketches

Reference 60

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.769310Z digest=sha256:05691b3827187a2145668b136f7739467ad585420456476535c1d05e35276940

Observation 40aa05d1-37eb-41b2-8a0f-1c70e0972f51 · outbound

This paper cites Pointflow: 3d point cloud generation with continuous normalizing flows.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Pointflow: 3d point cloud generation with continuous normalizing flows

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.429725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.772663Z digest=sha256:0a4b8f194b8d078cfbfddadfd79a97a78c7ea2b8f11d0d3e9a4160408d301039

Observation 1a646613-5bd9-458f-b7af-69fda3ff767e · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Depth anything: Unleashing the power of large-scale unlabeled data

Reference 62

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:54:46.776055Z digest=sha256:e5b16748571be3e7a1d8b16af3fd8ca0e5626042e264c833a0cfc6825b7b7def

Observation 25886f58-f9e8-48d1-8180-625ceb81050b · outbound

This paper cites Procedu- ral generation of 3d scenes for urban landscape based on remote sensing images.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Procedu- ral generation of 3d scenes for urban landscape based on remote sensing images

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.412654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.779384Z digest=sha256:0c255af508edbac91412efc90c898c5009344b3c90e21d2ed2a7e608c5074d17

Observation b7f7ea92-112e-4498-b2cc-f61e6e87de59 · outbound

This paper cites Urbangiraffe: Representing urban scenes as compositional generative neural feature fields.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Urbangiraffe: Representing urban scenes as compositional generative neural feature fields

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.402320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:54:46.782456Z digest=sha256:7adc32b10bcef062e07f715eb7825e7beb9022113d8f53ee3c8a25f86a3c5c1f

Observation aafca464-638e-4c09-9619-905c921a6e1b · outbound

This paper cites Scene123: One Prompt to 3D Scene Generation via Video-Assisted and Consistency-Enhanced MAE.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Scene123: One Prompt to 3D Scene Generation via Video-Assisted and Consistency-Enhanced MAE

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.785719Z digest=sha256:f1b94defd3169fb5b1c99005c1ad8f222810d60f0bd4249df30b45fc9cae9d9f

Observation 233a4be4-ebd0-4189-8790-d4a43f537054 · outbound

This paper cites DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.789523Z digest=sha256:f7d324b18c3dddb8eb59a049680108ac283ddc9aebf5473c849437863659a8d1

Observation 9a71fe81-8372-4608-ab81-be14962b0d30 · outbound

This paper cites LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion

Reference 67

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.793669Z digest=sha256:a6bf2316fba86ffb8dbec3bb392bafdc507e91f593cc5d40828b062340210e68

Observation d320460e-9f23-4ca0-9c25-dfb097c67690 · outbound

This paper cites 3dshape2vecset: A 3d shape representation for neu- ral fields and generative diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–16, 2023.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion 3dshape2vecset: A 3d shape representation for neu- ral fields and generative diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–16, 2023

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.797404Z digest=sha256:982400819c0517398ab5396aee96409368c5b831c0bbc008f421ef76d2597795

Observation b7eb0292-1f21-4774-961a-6b700b307649 · outbound

This paper cites Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.385354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b3ad98f0-56d2-485e-b0cc-0c1b98c43edb · outbound

This paper cites 3d- scenedreamer: Text-driven 3d-consistent scene generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion 3d- scenedreamer: Text-driven 3d-consistent scene generation

Reference 70

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7d9f2b51-e7d8-4d2a-954e-2e0e678ca334 · outbound

This paper cites CityX: Controllable Procedural Content Generation for Unbounded 3D Cities.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion CityX: Controllable Procedural Content Generation for Unbounded 3D Cities

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.808553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3142f1ca-3e34-40a6-bee0-390339a6789b · outbound

This paper cites SceneX: Procedural Controllable Large-scale Scene Generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion SceneX: Procedural Controllable Large-scale Scene Generation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.811868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72ac433f-eb9d-4c9b-850c-d54370b703c9 · outbound

This paper cites GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.815361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3724df5c-652f-443d-8bab-645395ccb541 · outbound

This paper cites Nice-slam: Neural implicit scalable encoding for slam.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Nice-slam: Neural implicit scalable encoding for slam

Reference 74

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9bbba867-d5c6-473c-b61d-d2dbb878cc8d · outbound

This paper cites Implementation Details Our method is primarily implemented based on the sparse 3D structure provided by XCube [39] and the surface fit- ting network from NKSR [20].

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Implementation Details Our method is primarily implemented based on the sparse 3D structure provided by XCube [39] and the surface fit- ting network from NKSR [20]

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.355497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4263cf17-79d5-4582-8987-a3acc6aea887 · outbound

This paper cites an unresolved cited work.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:54:47.345767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 426f961b-f6ac-46df-9dd4-e80665d6c30a · outbound

This paper cites Very Poor.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Very Poor

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.336356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.