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Paper Citation Record · LEDGER

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation

As of 8 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 4 inbound Pith citation observations for arXiv:2505.24521.

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

pith.paper-citation-record.v1
2505.24521 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:27:03.027229Z

measured 71 of 71 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:36:12.563261Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:24:02.107669Z

Reference resolution

67 of 67 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75594885-1abd-46d1-afce-81c0d635fc93 · outbound

This paper cites https://hailuoai.video, 2023.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation https://hailuoai.video, 2023

Reference 1

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Observation 8ee2dfb0-2bd5-431a-905e-d016eb7a81c5 · outbound

This paper cites https://kling.kuaishou.com, 2023.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation https://kling.kuaishou.com, 2023

Reference 2

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Observation cfe52baf-e0e9-4b0b-8b86-f993f66a4b93 · outbound

This paper cites www.imagine.art, 2023.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation www.imagine.art, 2023

Reference 3

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Observation 996a5d4a-2e97-47a4-8282-efc3cbd05930 · outbound

This paper cites Rethinking induc- tive biases for surface normal estimation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Rethinking induc- tive biases for surface normal estimation

Reference 4

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Observation 2e7a868c-a2af-45a8-9788-d218f33f80ce · outbound

This paper cites Es- timating and exploiting the aleatoric uncertainty in surface normal estimation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Es- timating and exploiting the aleatoric uncertainty in surface normal estimation

Reference 5

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Observation 1abbe0f1-7b19-4c3b-bd4e-b28a6580c3dc · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 7

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Observation 4508da34-1ead-4445-aead-3e35152b1b91 · outbound

This paper cites Video generation models as world simulators.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Video generation models as world simulators

Reference 8

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Observation 677d1a65-46d6-4a29-8c90-a851b74eb0e9 · outbound

This paper cites Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

Reference 10

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Observation 83fc3904-0469-48f7-ba61-8de3ece49662 · outbound

This paper cites Single- image depth perception in the wild.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Single- image depth perception in the wild

Reference 11

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Observation 3abfe880-7878-4bc0-9e19-0114ed11ecf8 · outbound

This paper cites Omnidata: A scalable pipeline for making multi- task mid-level vision datasets from 3d scans.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Omnidata: A scalable pipeline for making multi- task mid-level vision datasets from 3d scans

Reference 12

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Observation beb48c00-2511-46c5-9190-8f223ab4f64a · outbound

This paper cites Predicting depth, surface nor- mals and semantic labels with a common multi-scale con- volutional architecture.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Predicting depth, surface nor- mals and semantic labels with a common multi-scale con- volutional architecture

Reference 13

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Observation a8d30307-e835-47c0-b995-a735bd45c0be · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep net- work.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Depth map prediction from a single image using a multi-scale deep net- work

Reference 14

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Source-reported events for the cited work

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Observation bb1dbe1f-919c-4726-b4bf-7478ac630314 · outbound

This paper cites GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image

Reference 15

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Observation 06f15a31-a466-4b20-b035-94aadd9de0f8 · outbound

This paper cites Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image

Reference 16

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Source-reported events for the cited work

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Observation 8cc1afab-dcf2-4645-957d-2396430e50e3 · outbound

This paper cites Fine-tuning image-conditional diffusion models is easier than you think.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Fine-tuning image-conditional diffusion models is easier than you think

Reference 17

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Observation be40d30e-011e-4e05-812b-22e14c5770a0 · outbound

This paper cites Vision meets robotics: The kitti dataset.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Vision meets robotics: The kitti dataset

Reference 18

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Observation 3edd2f4b-b25a-442d-8c8c-464056f0ed6d · outbound

This paper cites DepthFM: Fast Monocular Depth Estimation with Flow Matching.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 19

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Observation c5d92bf9-086c-4519-a65e-37e130a9da12 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Denoising Diffusion Probabilistic Models

Reference 20

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Observation 1a69be6a-9b38-4464-b956-6b38e1045c72 · outbound

This paper cites Denoising dif- fusion probabilistic models.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Denoising dif- fusion probabilistic models

Reference 21

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Observation 7e38e68a-400c-48a3-8647-9e77d84c351b · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 22

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Observation a27ba6c1-40a2-4604-8824-31777593a2f6 · outbound

This paper cites DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Reference 24

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Observation fe1099a5-5d77-48b2-8af0-b0fd96bf057c · outbound

This paper cites Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos

Reference 25

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Observation 626022db-2620-49cf-873c-c4d0418419dd · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 26

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Source-reported events for the cited work

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Observation a310457d-8b69-4ddc-a262-655acdf7cee0 · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 27

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Observation 9fceaa84-ef54-46f2-bae6-c582b3ef60d1 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 28

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Observation 5c0dbbf6-098f-42e0-9421-79443181872f · outbound

This paper cites Ex- ploiting diffusion prior for generalizable dense prediction.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Ex- ploiting diffusion prior for generalizable dense prediction

Reference 29

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Observation 94f1be05-ffb6-4cf2-ba7f-088fea4a1545 · outbound

This paper cites Depth and surface normal estimation from monocular images using regression on deep features and hi- erarchical crfs.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Depth and surface normal estimation from monocular images using regression on deep features and hi- erarchical crfs

Reference 30

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Observation b189bfab-37b2-4fb7-993b-44ee6eefe3e5 · outbound

This paper cites Interiornet: Mega-scale multi- sensor photo-realistic indoor scenes dataset.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Interiornet: Mega-scale multi- sensor photo-realistic indoor scenes dataset

Reference 31

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Observation 20904369-a23c-4066-ab13-516b3543f515 · outbound

This paper cites Matrixcity: A large-scale city dataset for city-scale neural rendering and beyond.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Matrixcity: A large-scale city dataset for city-scale neural rendering and beyond

Reference 32

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Observation e9d0d976-d7a2-479a-a41b-34d7533358cf · outbound

This paper cites Prompting depth anything for 4k resolution accurate metric depth estimation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Prompting depth anything for 4k resolution accurate metric depth estimation

Reference 33

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Observation 89992286-2acc-4123-ab4a-d45b5504462d · outbound

This paper cites Align3R: Aligned Monocular Depth Estimation for Dynamic Videos.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Align3R: Aligned Monocular Depth Estimation for Dynamic Videos

Reference 34

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Observation 6b6de2e0-2114-4607-a6c0-086db26c1201 · outbound

This paper cites Scalable diffusion models with transformers.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Scalable diffusion models with transformers

Reference 35

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Source-reported events for the cited work

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Observation 6d24a161-3f1a-4b52-98b5-3c460a4ea8ff · outbound

This paper cites Peebles and Saining Xie.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Peebles and Saining Xie

Reference 36

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Observation 83fd48bf-ad09-4b91-872d-a6201fdfb432 · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Unidepth: Universal monocular metric depth estimation

Reference 37

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Source-reported events for the cited work

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Observation b4a49c49-397f-4d5a-bcf6-b533ea6cff43 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation The 2017 DAVIS Challenge on Video Object Segmentation

Reference 38

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Observation 7897aca7-a174-4b5b-befd-5dd77550264c · outbound

This paper cites Geonet: Geometric neural network for joint depth and surface normal estimation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Geonet: Geometric neural network for joint depth and surface normal estimation

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bd5a1d9d-e812-423d-9fbb-cb46b899114b · outbound

This paper cites Geonet++: Iterative geo- metric neural network with edge-aware refinement for joint depth and surface normal estimation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Geonet++: Iterative geo- metric neural network with edge-aware refinement for joint depth and surface normal estimation

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:27:00.236383Z digest=sha256:6a2fdd4a5df2feb75fef1c6ae5d34dbf504d972f300f941ae7bd08acebdb9f11

Observation 9cc9de4b-d3a3-4d5c-b3ab-ae773ab897c0 · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 41

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:00.304335Z digest=sha256:b8ffb8347c675840f8f6f87e898f2be406a7759ad124cc8ccc97742b43573c37

Observation 73a119ac-8b26-4e29-bf21-897930494676 · outbound

This paper cites Vi- sion transformers for dense prediction.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Vi- sion transformers for dense prediction

Reference 42

Resolution
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no resolver link, observed 2026-08-07T12:27:00.373962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:00.373962Z digest=sha256:93bf360d07aada374201974a66fd2b8d1f8908a68ce5f73bf3ab558eabebcfe2

Observation 447be397-8af9-4262-9620-dea09e45d300 · outbound

This paper cites Hypersim: A photorealis- tic synthetic dataset for holistic indoor scene understanding.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Hypersim: A photorealis- tic synthetic dataset for holistic indoor scene understanding

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:06.098339Z

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=2026-08-07T12:27:00.428199Z digest=sha256:c93f3b5125caed40ade7bf5a5cdca4a4aad77ecf3556f2301edb4e4cfb6d8d87

Observation c4208839-0796-4828-a1bb-7d541ab30c49 · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:05.810018Z

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=2026-08-07T12:27:00.544020Z digest=sha256:e871dec04744d1ff2e2a80a099dfbd85130777b53ddb85745b2209318c5e1dc8

Observation e5d58610-fa72-4d9d-8882-a41181464b45 · outbound

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

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation High-resolution image synthesis with latent diffusion models

Reference 45

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:00.618126Z digest=sha256:1936a28caaf8f8df35e6db2555a67ae932cfb03a644034539e774fa4d03fa14d

Observation e456ee21-1227-4fa7-8306-2553b0e0b6f8 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:00.683070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:00.683070Z digest=sha256:b94be209f11988988ece409f541d859ab980743c322c7d546ac44d19819fefe9

Observation 07c820f5-a41c-433b-a04a-7894a842c20f · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation U- net: Convolutional networks for biomedical image segmen- tation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:00.834097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:00.834097Z digest=sha256:952654f678641c8f83539b2531ca28e6e3e158e8d47726032d482a33e81a4bca

Observation 90fd036b-a57d-4460-88ec-e203654b88ea · outbound

This paper cites Learning Temporally Consistent Video Depth from Video Diffusion Priors.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Learning Temporally Consistent Video Depth from Video Diffusion Priors

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:00.948363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:00.948363Z digest=sha256:f0f604195b7ff28db289a30dd2c36fc9377b878696ea442166ffa7debf43540e

Observation f9cf66f4-ad2f-4bee-89de-d0558b701aed · outbound

This paper cites Scene intrinsics and depth from a single image.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Scene intrinsics and depth from a single image

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:05.584044Z

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=2026-08-07T12:27:01.069343Z digest=sha256:30bb639b1993bceee5bbe38300d71fe57590a2c11eb51b0048b2933b12eedf18

Observation 5132a635-f916-4c8e-9faf-8e6dbdaf79a1 · outbound

This paper cites Scene coordinate regression forests for camera relocalization in rgb-d images.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Scene coordinate regression forests for camera relocalization in rgb-d images

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:05.320128Z

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=2026-08-07T12:27:01.167879Z digest=sha256:7acf5be08bf793824c5dadbb39573b04ce38fddbcca5280987072938024a4d43

Observation 7c416411-5fda-48ca-9268-2d72596f1009 · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Indoor segmentation and support inference from rgbd images

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:05.124782Z

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=2026-08-07T12:27:01.284386Z digest=sha256:97fc9e473641c663149ffd02ecbe3c9e51652cd2560f9e0ac546adf074619e67

Observation a8beb47c-c712-424f-8874-d7cc88f2d13c · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:01.438171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:01.438171Z digest=sha256:8a34389fa4a356de9646a70a1c4a45144ea7f18dd1cfb59c92a0ee00e435ff60

Observation c1d5365a-dc90-4f74-88fd-ea86c7ae4106 · outbound

This paper cites Deep unsupervised learning using 10 nonequilibrium thermodynamics.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Deep unsupervised learning using 10 nonequilibrium thermodynamics

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:04.940689Z

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=2026-08-07T12:27:01.520466Z digest=sha256:dc3860b0e547e608a60d6d93a2c7205cef2c29b0dccf322aa835631cd9f8cc2f

Observation e66123ba-483e-43ce-9343-18a8ad600a90 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:01.642915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:01.642915Z digest=sha256:ae74ccb39b241cc0f565aede2f557a0b9c65f1c811a52698ef477670112cfe2f

Observation fec091f6-c3df-44e5-98e7-391834d5efb2 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:01.737545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:01.737545Z digest=sha256:63c5f3628ea8641a70daed6244929080e022f195be08f64f16bd25b03dca9e32

Observation 4a58cf34-6893-4dfa-95bd-0e54358709ef · outbound

This paper cites MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds

Reference 56

Resolution
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no resolver link, observed 2026-08-07T12:27:01.811248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:01.811248Z digest=sha256:8933780d83ad41d1047d62f54114a9f779b16d62e30dfbd66dcef507bfb3972a

Observation f8cba505-25cc-4b21-85ee-07f9b87a8476 · outbound

This paper cites 3D Reconstruction with Spatial Memory.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation 3D Reconstruction with Spatial Memory

Reference 58

Resolution
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no resolver link, observed 2026-08-07T12:27:01.955499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:01.955499Z digest=sha256:b676f559ab5d32d5e0d910c8b93ca02e9e4a396c10893de786e23786f85ce604

Observation 739cdba6-2abe-413c-8921-3123d81f3e9f · outbound

This paper cites Continuous 3D Perception Model with Persistent State.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Continuous 3D Perception Model with Persistent State

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:02.037632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:02.037632Z digest=sha256:3e8184e9b39842fd607777e86ebe32871135741a2a5ef9d58663baa50398cf4e

Observation b841db22-c530-4539-98c1-accde6bd66e5 · outbound

This paper cites MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 60

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:02.097523Z digest=sha256:0a11b53de26a6fb9e5d93f1ab150b76bb6c4fc2e914549e70e1099d0781730d6

Observation 1084b898-e80e-43fa-81be-f4a33a1e25ac · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Dust3r: Geometric 3d vision made easy

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:04.667997Z

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=2026-08-07T12:27:02.188457Z digest=sha256:dd1adc2cd00b128295429c5e9dd2fef73e58b792e36e745a979ed4a1bb3a27ad

Observation d1ff30dd-dad9-411a-b904-941e1a1eed6c · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Dust3r: Geometric 3d vi- sion made easy

Reference 62

Resolution
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no resolver link, observed 2026-08-07T12:27:02.249135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:02.249135Z digest=sha256:82e93cd8124abcf046b4c366c03038d2d17346789558ac158599f40e3949a82f

Observation 550d8c1c-d908-439d-9589-605e62659486 · outbound

This paper cites Monocular relative depth percep- tion with web stereo data supervision.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Monocular relative depth percep- tion with web stereo data supervision

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:04.424020Z

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=2026-08-07T12:27:02.302561Z digest=sha256:c11746e4f20d37aba7747a80c4ef03db05167c4550ed69b1e54599622b107652

Observation f86c6d6d-b3ec-46ac-b464-1e86fb800805 · outbound

This paper cites What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?

Reference 65

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no resolver link, observed 2026-08-07T12:27:02.467759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:02.467759Z digest=sha256:05a144f200fad00e8b30ff9d9afc00420254d43994074e29d653c459f9cef01b

Observation fa2c354e-9002-44fd-a4f7-9b3a1a76494e · outbound

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

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:04.199244Z

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=2026-08-07T12:27:02.531600Z digest=sha256:fc3774e7ffcedb37de74c762e11d93ce2eb84043922d4440554f79530a879a73

Observation c978a6ac-3145-4fbd-9f9f-8f5dbd8fae78 · outbound

This paper cites Depth any- thing v2.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Depth any- thing v2

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:03.961131Z

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=2026-08-07T12:27:02.589322Z digest=sha256:23349a8e4f0f01c8e823eac9d5f10e29504b55fc6b5a23389988e3761508005e

Observation a160bd47-10a7-4378-a166-da6b1c5dbfdf · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 68

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no resolver link, observed 2026-08-07T12:27:02.689320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:02.689320Z digest=sha256:21ab153990ed0f40a490072ff39451c6cbf555f7c1af50f4c70acd1ab57d67c9

Observation 05b5d691-4a2e-43ab-bef5-4b70c89e4e91 · outbound

This paper cites Stablenormal: Reducing diffusion variance for stable and sharp normal.ACM Transactions on Graphics,.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Stablenormal: Reducing diffusion variance for stable and sharp normal.ACM Transactions on Graphics,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:03.783212Z

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=2026-08-07T12:27:02.753883Z digest=sha256:be1f2cb0d2f194852c928b36a913cff4c9ae06824d9327011239b1f78566da81

Observation c4f7ea64-a5c8-4796-af11-8689a1baec65 · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d in- door scenes.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Scannet++: A high-fidelity dataset of 3d in- door scenes

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:02.824772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:02.824772Z digest=sha256:88692a9f5705bf9802e92dd251a3057bf019041c2aa700aeafc9c3fdccfaacb1

Observation 52ae2683-62ab-4564-a7ee-b03c856de32d · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:03.574652Z

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=2026-08-07T12:27:02.938986Z digest=sha256:ca3edec4c4cbda22511feed3c5c92737dab5ce646080d54f3722580fa6acfcd8

Observation c08c55dc-ba5f-4069-97be-3cf166745a2e · outbound

This paper cites MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:03.027229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:03.027229Z digest=sha256:3a62aa888f009c28d7a17ca4997450270809a39f13c1ea4778ffd22b806f0b3c

Pith citing papers

Observation f3739f67-2a25-466b-b5c5-67f26aa76fa4 · inbound

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models cites this paper.

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation

Reference 106

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no resolver link, observed 2026-08-07T11:36:12.563261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:12.563261Z digest=sha256:72c23c6d59b288859997844f3e5ddd9fe1102f8df61dadbec8b1395151858c57

Observation fe1a1cf9-3398-4ddc-81f5-970bdc4cbc73 · inbound

Reconstructing 4D Spatial Intelligence: A Survey cites this paper.

Reconstructing 4D Spatial Intelligence: A Survey UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation

Reference 179

Resolution
unresolved
no resolver link, observed 2026-08-06T13:02:29.354458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:29.354458Z digest=sha256:a12d2c8c0c6f3e680ed1d82c6799932784d2dcf38718369b04785e923670e897

Observation ce9fe1c0-5065-454d-bfcf-a87a9c895c12 · inbound

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

UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:26:07.919990Z

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=2026-05-09T20:05:21.723724Z digest=sha256:f5ccb16b8188805d3fd16c8eb1856dbea66b6b437799787d04d780c7025dd2ea

Observation 7b62898f-9f48-4c4a-ac3a-e5eb6238c359 · inbound

Stabilizing Streaming Video Geometry via Dynamic Feature Normalization cites this paper.

Stabilizing Streaming Video Geometry via Dynamic Feature Normalization UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:24:02.109500Z

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=2026-06-29T23:15:20.254402Z digest=sha256:cbefd69fae6cbb2ecdeff75c51f6bf8d14a52c121ebfaf3675520f6ef52a29f9