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Paper Citation Record · LEDGER

Reconstructing 4D Spatial Intelligence: A Survey

As of 7 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 9 inbound Pith citation observations for arXiv:2507.21045.

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

pith.paper-citation-record.v1
2507.21045 v2

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:02:28.913510Z

measured 109 of 109 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:05:34.406350Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:15:44.967658Z

Reference resolution

100 of 300 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved98
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6e7ff7f-c07b-46cf-82f6-1756d3af94b7 · outbound

This paper cites Neural point-based graphics,.

Reconstructing 4D Spatial Intelligence: A Survey Neural point-based graphics,

Reference 1

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Observation a1e9439e-57fc-46ea-9c81-33ad30398450 · outbound

This paper cites Deep video portraits,.

Reconstructing 4D Spatial Intelligence: A Survey Deep video portraits,

Reference 2

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Observation c1a7844c-9afb-4a4f-80c8-49cc637865d0 · outbound

This paper cites Fov-nerf: Foveated neural radiance fields for virtual reality,.

Reconstructing 4D Spatial Intelligence: A Survey Fov-nerf: Foveated neural radiance fields for virtual reality,

Reference 3

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Observation f1308af7-0091-4275-9884-107bc55a7e00 · outbound

This paper cites Instant-3d: Instant neural radiance field training towards on-device ar/vr 3d reconstruction,.

Reconstructing 4D Spatial Intelligence: A Survey Instant-3d: Instant neural radiance field training towards on-device ar/vr 3d reconstruction,

Reference 4

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Observation d11c3e30-22fb-4d8a-bc94-76b53e6e1d85 · outbound

This paper cites Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI.

Reconstructing 4D Spatial Intelligence: A Survey Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI

Reference 5

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Observation 10b34215-92ce-4319-a3b9-465a753d4ec2 · outbound

This paper cites The Essential Role of Causality in Foundation World Models for Embodied AI.

Reconstructing 4D Spatial Intelligence: A Survey The Essential Role of Causality in Foundation World Models for Embodied AI

Reference 6

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Observation 08f6783d-50f3-49c1-b0aa-eaffd47c4d48 · outbound

This paper cites An Embodied Generalist Agent in 3D World.

Reconstructing 4D Spatial Intelligence: A Survey An Embodied Generalist Agent in 3D World

Reference 7

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Observation cbe25985-f876-4a60-ab34-47c1b18f445c · outbound

This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.

Reconstructing 4D Spatial Intelligence: A Survey 3D-VLA: A 3D Vision-Language-Action Generative World Model

Reference 8

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Observation 12475e8c-247c-47c1-b67b-f839ece9e26e · outbound

This paper cites Recent advances in 3d gaussian splatting,.

Reconstructing 4D Spatial Intelligence: A Survey Recent advances in 3d gaussian splatting,

Reference 9

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Observation f5aae689-edcb-470c-8ff1-fc3d8c5d79ff · outbound

This paper cites 3d gaussian splatting as new era: A survey,.

Reconstructing 4D Spatial Intelligence: A Survey 3d gaussian splatting as new era: A survey,

Reference 10

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Observation 8f860274-898a-4c50-92db-2087b2bdd7e2 · outbound

This paper cites Stereo matching algorithm based on deep learning: A survey,.

Reconstructing 4D Spatial Intelligence: A Survey Stereo matching algorithm based on deep learning: A survey,

Reference 11

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Observation 8a6f37d9-86e6-4149-ad3e-b98bd52ccb78 · outbound

This paper cites Review of stereo matching algorithms based on deep learning,.

Reconstructing 4D Spatial Intelligence: A Survey Review of stereo matching algorithms based on deep learning,

Reference 12

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Observation e335c623-4028-4dd5-9e27-2a7a37828bf5 · outbound

This paper cites A sur- vey on deep learning techniques for stereo-based depth estima- tion,.

Reconstructing 4D Spatial Intelligence: A Survey A sur- vey on deep learning techniques for stereo-based depth estima- tion,

Reference 13

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Observation 8199cb7a-909d-4cf8-93ed-c88a93082c50 · outbound

This paper cites NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting).

Reconstructing 4D Spatial Intelligence: A Survey NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)

Reference 14

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Observation b8434432-44e7-42c3-8fd5-39b8219a516a · outbound

This paper cites 3d gaussian splatting: Survey, technologies, challenges, and opportunities,.

Reconstructing 4D Spatial Intelligence: A Survey 3d gaussian splatting: Survey, technologies, challenges, and opportunities,

Reference 15

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Observation 9fd19c95-e2bf-4a49-a4dd-3d524cef8f84 · outbound

This paper cites NeRFs in Robotics: A Survey.

Reconstructing 4D Spatial Intelligence: A Survey NeRFs in Robotics: A Survey

Reference 16

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Observation 1a0fa5f9-580b-44b7-91e1-6dbd12b14ae0 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Reconstructing 4D Spatial Intelligence: A Survey Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 17

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Observation f3979560-811f-43b3-878a-647906ce60ce · outbound

This paper cites Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis,.

Reconstructing 4D Spatial Intelligence: A Survey Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis,

Reference 18

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Observation 511d9e9f-576b-4770-82c7-cfa382134a63 · outbound

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

Reconstructing 4D Spatial Intelligence: A Survey 3d gaussian splatting for real-time radiance field rendering,

Reference 19

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Observation 128e6d1b-aa1c-4e0b-908a-a210d71abd99 · outbound

This paper cites Video diffusion models,.

Reconstructing 4D Spatial Intelligence: A Survey Video diffusion models,

Reference 20

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Observation 666c0483-83c7-428b-95bc-bb04896ddbff · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Reconstructing 4D Spatial Intelligence: A Survey Imagen Video: High Definition Video Generation with Diffusion Models

Reference 21

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Observation 257614ee-a28b-41f6-999c-cb64003f62ae · outbound

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

Reconstructing 4D Spatial Intelligence: A Survey Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 22

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Observation 0026f052-50fe-44d6-915c-ec1f4a5599d9 · outbound

This paper cites Sift: Predicting amino acid changes that affect protein function,.

Reconstructing 4D Spatial Intelligence: A Survey Sift: Predicting amino acid changes that affect protein function,

Reference 23

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Observation 2a0b0285-bac7-4c27-a7d8-22b012cef2a3 · outbound

This paper cites R2d2: Reliable and repeatable detector and descriptor,.

Reconstructing 4D Spatial Intelligence: A Survey R2d2: Reliable and repeatable detector and descriptor,

Reference 24

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Observation 366d6eb0-b2f1-4fb9-a9b7-fbec2de8975b · outbound

This paper cites Superpoint: Self- supervised interest point detection and description,.

Reconstructing 4D Spatial Intelligence: A Survey Superpoint: Self- supervised interest point detection and description,

Reference 25

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Observation 88fd6f4b-98b3-4e1d-a9e7-0c90f73a8496 · outbound

This paper cites Superglue: Learning feature matching with graph neural net- works,.

Reconstructing 4D Spatial Intelligence: A Survey Superglue: Learning feature matching with graph neural net- works,

Reference 26

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Observation 5e6d1284-c534-45e4-bd56-f4cc777e0d14 · outbound

This paper cites Loftr: Detector- free local feature matching with transformers,.

Reconstructing 4D Spatial Intelligence: A Survey Loftr: Detector- free local feature matching with transformers,

Reference 27

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Observation 34d7f5a8-f705-49c1-961c-b4919e2e17ac · outbound

This paper cites Neural-guided ransac: Learn- ing where to sample model hypotheses,.

Reconstructing 4D Spatial Intelligence: A Survey Neural-guided ransac: Learn- ing where to sample model hypotheses,

Reference 28

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Observation ec9b5140-aafd-484a-9d94-94f5280c877b · outbound

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Reconstructing 4D Spatial Intelligence: A Survey Lightglue: Local feature matching at light speed,

Reference 29

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Observation 975cc149-dd51-4be9-9ffc-494037e71293 · outbound

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Reconstructing 4D Spatial Intelligence: A Survey AffineGlue: Joint Matching and Robust Estimation

Reference 30

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Observation 41971552-fc4a-4857-96ce-5a32801b96a5 · outbound

This paper cites Structure-from-motion revis- ited,.

Reconstructing 4D Spatial Intelligence: A Survey Structure-from-motion revis- ited,

Reference 31

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Observation 4f06510c-a1b3-4d1c-ab3b-5167dfb6e869 · outbound

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Reconstructing 4D Spatial Intelligence: A Survey A survey of structure from motion*

Reference 32

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Observation 40f9676d-8e61-4347-a1a2-d8b1ec8294ca · outbound

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Reconstructing 4D Spatial Intelligence: A Survey Structure from motion photogrammetry in forestry: A review,

Reference 33

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Reconstructing 4D Spatial Intelligence: A Survey Pixel- perfect structure-from-motion with featuremetric refinement,

Reference 34

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Reconstructing 4D Spatial Intelligence: A Survey Bundle adjustment in the large,

Reference 35

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Reconstructing 4D Spatial Intelligence: A Survey Bundle adjustment rules,

Reference 36

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Observation b5996345-34e6-4457-8242-e100488ec87f · outbound

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Reconstructing 4D Spatial Intelligence: A Survey Robust bundle adjustment revisited,

Reference 37

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Observation 33e0e349-8f07-450c-9408-e2e420ca138f · outbound

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Reconstructing 4D Spatial Intelligence: A Survey Bundle adjustment—a modern synthesis,

Reference 38

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Observation e92b7b1a-159a-4835-8bbf-ec6e49f89f62 · outbound

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Reconstructing 4D Spatial Intelligence: A Survey Pixelwise view selection for unstructured multi-view stereo,

Reference 39

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.617699Z digest=sha256:9490b90a1ba0ddbd2a9b004164e5cadee1f67481b93b69e3568dabbe4a1e24a8

Observation 7f42f9e8-75a4-4f72-9793-c0f850207b64 · outbound

This paper cites Visibility-aware multi-view stereo network,.

Reconstructing 4D Spatial Intelligence: A Survey Visibility-aware multi-view stereo network,

Reference 40

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source=pdf_text observed=2026-08-06T13:02:28.622713Z digest=sha256:92463a95a9719549c3f0d78dac0ea9a7f902d5dfbdf387d52b7d1bcb2fd5c2f3

Observation 10f2e351-bd53-4dfb-ad38-1942653ea95a · outbound

This paper cites Cost volume pyramid based depth inference for multi-view stereo,.

Reconstructing 4D Spatial Intelligence: A Survey Cost volume pyramid based depth inference for multi-view stereo,

Reference 41

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source=pdf_text observed=2026-08-06T13:02:28.628213Z digest=sha256:a10b780da9bd494eab524216e104595224224a8a681c4df6dea13507b23f0b53

Observation aa00828e-46ef-4130-a524-759172ae9bd9 · outbound

This paper cites Patchmatchnet: Learned multi-view patchmatch stereo,.

Reconstructing 4D Spatial Intelligence: A Survey Patchmatchnet: Learned multi-view patchmatch stereo,

Reference 42

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source=pdf_text observed=2026-08-06T13:02:28.633394Z digest=sha256:f8316a89f77c58bad77814fe519fe1ff9fb1f4a9072227f00b8659bb11632280

Observation 9f86db23-6669-415c-8b5c-c8aec544bfc9 · outbound

This paper cites Cascade cost volume for high-resolution multi-view stereo and stereo matching,.

Reconstructing 4D Spatial Intelligence: A Survey Cascade cost volume for high-resolution multi-view stereo and stereo matching,

Reference 43

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source=pdf_text observed=2026-08-06T13:02:28.637870Z digest=sha256:c5733cbdfc5ef8894cc65ff41d3f7800b73646651ca1f9a495941dbe99183bd8

Observation 67445b25-e7cd-4187-b631-553b8cc354dc · outbound

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

Reconstructing 4D Spatial Intelligence: A Survey Dust3r: Geometric 3d vision made easy,

Reference 44

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unresolved
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.642579Z digest=sha256:9086abc52e5d2dcbff07856168d2bc37be55af52ca6c81c98dc2d5432f508349

Observation 40dc9659-ae0c-48ff-a452-0fe0c59f6063 · outbound

This paper cites MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors.

Reconstructing 4D Spatial Intelligence: A Survey MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

Reference 45

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source=pdf_text observed=2026-08-06T13:02:28.647067Z digest=sha256:1f6cd87c2e5d3786e2f74773f6ddc34ec9fa2c593a069ec7601d4ce8250cc04a

Observation 7cb70d8f-b439-43c4-b707-d76e823d6213 · outbound

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

Reconstructing 4D Spatial Intelligence: A Survey MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 46

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source=pdf_text observed=2026-08-06T13:02:28.651730Z digest=sha256:ac45904dc8380be41dc319fec607a48c561edaa60b5c571eb6255b017047315a

Observation 16f5040d-184b-4b9c-a63c-8153ed52ecbb · outbound

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

Reconstructing 4D Spatial Intelligence: A Survey Align3R: Aligned Monocular Depth Estimation for Dynamic Videos

Reference 47

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unresolved
no resolver link, observed 2026-08-06T13:02:28.656186Z

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source=pdf_text observed=2026-08-06T13:02:28.656186Z digest=sha256:62ebb5ed3a9d630bcbe9dd4eedad6dd29ee69f48437928a23b5158bdee745c85

Observation a2e8551b-ae97-4353-9b5b-f15144821955 · outbound

This paper cites Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass.

Reconstructing 4D Spatial Intelligence: A Survey Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass

Reference 48

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no resolver link, observed 2026-08-06T13:02:28.661267Z

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source=pdf_text observed=2026-08-06T13:02:28.661267Z digest=sha256:8497d085c45be7784f7aa13c30b7aec84f323bb221dbcbd327a1b28284ca0bbc

Observation 252328cb-b926-4f86-bd4c-91d26f82b493 · outbound

This paper cites Transformer in transformer,.

Reconstructing 4D Spatial Intelligence: A Survey Transformer in transformer,

Reference 49

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no resolver link, observed 2026-08-06T13:02:28.666024Z

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source=pdf_text observed=2026-08-06T13:02:28.666024Z digest=sha256:e5c3c28bbe3cfca68ba6cdc5db0e25b885cf4c5d6428c6e3d433dc609e48ba62

Observation 92a1cd8b-87db-47c2-b35f-dfbd5da7ecae · outbound

This paper cites A survey on vision transformer,.

Reconstructing 4D Spatial Intelligence: A Survey A survey on vision transformer,

Reference 50

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no resolver link, observed 2026-08-06T13:02:28.670423Z

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source=pdf_text observed=2026-08-06T13:02:28.670423Z digest=sha256:a967135bb69370bfd941f937bba30f94980aecdd15cf756795e0509f9c80ee76

Observation 0acb0fbc-e236-4bd8-bd30-88373d6024f3 · outbound

This paper cites Reformer: The Efficient Transformer.

Reconstructing 4D Spatial Intelligence: A Survey Reformer: The Efficient Transformer

Reference 51

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source=pdf_text observed=2026-08-06T13:02:28.674898Z digest=sha256:52803f2496de28e4d35e9a64645c37b8f1c6242537265c41e9dc586d70f7df1e

Observation d1abb665-928f-4dcc-b32e-895830f01ed2 · outbound

This paper cites Point trans- former,.

Reconstructing 4D Spatial Intelligence: A Survey Point trans- former,

Reference 52

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no resolver link, observed 2026-08-06T13:02:28.680102Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T13:02:28.680102Z digest=sha256:a664a9d582b47f2eb6cdcd4238aa2fdd2f41f505943a0c2840dca37c9149392b

Observation 41334d01-311f-40ab-98a5-0cdb94ed2091 · outbound

This paper cites Image transformer,.

Reconstructing 4D Spatial Intelligence: A Survey Image transformer,

Reference 53

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unresolved
no resolver link, observed 2026-08-06T13:02:28.684907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.684907Z digest=sha256:e8d24c99d59a2eb01b77e732919c5575667d1d278d3fe7fe7d4efaf087d79b33

Observation 4ba37fd8-008c-4704-ab3c-9c67cdb302ec · outbound

This paper cites Vggt: Visual geometry grounded transformer,.

Reconstructing 4D Spatial Intelligence: A Survey Vggt: Visual geometry grounded transformer,

Reference 54

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.689601Z digest=sha256:e89627599522b6ae12a3a236e2e4ef6295ca77f261ddeb6f3a1b3f984ac58676

Observation 7bf2e189-bced-459c-8c02-910aecd87fd4 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Reconstructing 4D Spatial Intelligence: A Survey Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 55

Resolution
unresolved
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.694509Z digest=sha256:8f30201868c563a04a65ea39f6106f74762d67a30f2ad49d73e14cc73d60b069

Observation 75832935-0107-4abd-9507-d9d6ce408870 · outbound

This paper cites 3d gaus- sian splatting for real-time radiance field rendering,.

Reconstructing 4D Spatial Intelligence: A Survey 3d gaus- sian splatting for real-time radiance field rendering,

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T13:02:28.699278Z digest=sha256:aec699a30cd34cfd56a1f45588905e7d9522ab4473a62bb1642b8700d7b51634

Observation f3ed81cb-827d-4f4d-8a80-e9afd7176447 · outbound

This paper cites Flexible isosurface extraction for gradient-based mesh optimization,.

Reconstructing 4D Spatial Intelligence: A Survey Flexible isosurface extraction for gradient-based mesh optimization,

Reference 57

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.703915Z digest=sha256:5af9007f71c0c618db33f4051cac1f05db373a1ee804e48fa3ed2b5a0f118e6f

Observation 58544010-9747-49eb-a24f-7aa9b4cc55ed · outbound

This paper cites Nerfies: Deformable neural radi- ance fields,.

Reconstructing 4D Spatial Intelligence: A Survey Nerfies: Deformable neural radi- ance fields,

Reference 58

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source=pdf_text observed=2026-08-06T13:02:28.708634Z digest=sha256:b6c21db77ecaf5866cd932ee9749477302468a72a1e10391fbb3fec0b0e5fa39

Observation 3ec67928-0e2a-4aa6-a42e-001e9f2c5e9e · outbound

This paper cites Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video,.

Reconstructing 4D Spatial Intelligence: A Survey Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video,

Reference 59

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T13:02:28.713660Z digest=sha256:29077c6f7dc2ce53d7d99aabbb1c16639707d7888010d48257c98dcf8086bc77

Observation 25647800-e458-40c8-83d9-bad5b9cb2faa · outbound

This paper cites HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields.

Reconstructing 4D Spatial Intelligence: A Survey HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.718303Z digest=sha256:5215173eb510cc6a9cc33453e07a2948ebb0c8a40549667a2a849b4a4900fc42

Observation 6fab469c-8dc3-46c0-b145-0966e13ca41e · outbound

This paper cites Dylin: Making light field networks dynamic,.

Reconstructing 4D Spatial Intelligence: A Survey Dylin: Making light field networks dynamic,

Reference 61

Resolution
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source=pdf_text observed=2026-08-06T13:02:28.723527Z digest=sha256:9d2307587cbaaa81477bfc35bc82e8b9ad8870f07810b2d29803187a3d1de5cc

Observation 3e8d9ef5-3ef1-494f-91be-707486e89ee3 · outbound

This paper cites SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes.

Reconstructing 4D Spatial Intelligence: A Survey SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:02:32.458725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T13:02:28.728580Z digest=sha256:377591ccc564fba64e374bdba383ef005f5e342642112c46ff9d06e340449c13

Observation 526f613c-91df-41a4-8f49-b0487d07a375 · outbound

This paper cites Neural scene flow fields for space-time view synthesis of dynamic scenes,.

Reconstructing 4D Spatial Intelligence: A Survey Neural scene flow fields for space-time view synthesis of dynamic scenes,

Reference 63

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source=pdf_text observed=2026-08-06T13:02:28.733564Z digest=sha256:c1c621670a8e2eac0ddca84c0667d91f074c2edbe7aa9aaa43167a3353c36317

Observation a71e1f89-d020-4bcf-b018-61b28b62c8ba · outbound

This paper cites Dynamic view synthesis from dynamic monocular video,.

Reconstructing 4D Spatial Intelligence: A Survey Dynamic view synthesis from dynamic monocular video,

Reference 64

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source=pdf_text observed=2026-08-06T13:02:28.738151Z digest=sha256:f970c4d429ff012369b120ff372e7fdd2315fcf9f59cedc851f5749e80a8de04

Observation a371938b-1eff-4c0e-8579-f9c0477f8d8e · outbound

This paper cites Decoupling dynamic monocular videos for dynamic view synthesis,.

Reconstructing 4D Spatial Intelligence: A Survey Decoupling dynamic monocular videos for dynamic view synthesis,

Reference 65

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source=pdf_text observed=2026-08-06T13:02:28.742732Z digest=sha256:30625222c244e0ebb7180ae6c01740d473c1842b4f464cfbc18a7d42cc332fe9

Observation d96fb4e2-fee4-4077-9bc0-3bed4844e37e · outbound

This paper cites Neural Trajectory Fields for Dynamic Novel View Synthesis.

Reconstructing 4D Spatial Intelligence: A Survey Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 66

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source=pdf_text observed=2026-08-06T13:02:28.747523Z digest=sha256:fed9c5ca94fe0dca11e60790e60a08f993d6c0c1eed4171a50acc5d4da6d61cf

Observation 7ff990da-bae3-42d4-9fc9-72024058345b · outbound

This paper cites Neural scene chronology,.

Reconstructing 4D Spatial Intelligence: A Survey Neural scene chronology,

Reference 67

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source=pdf_text observed=2026-08-06T13:02:28.752556Z digest=sha256:8a3934adbe21cbce694fdb0d08fbe8b5d74b93b1f1bacec01df01618d3a186bd

Observation 3f50f4f7-ed4f-49e8-910e-d7795452af69 · outbound

This paper cites Darenerf: Direction-aware representation for dynamic scenes,.

Reconstructing 4D Spatial Intelligence: A Survey Darenerf: Direction-aware representation for dynamic scenes,

Reference 68

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source=pdf_text observed=2026-08-06T13:02:28.757472Z digest=sha256:63c3f3b44a436ffb6830149f062f2ee9b09ba18f1ce4d8085c919da20f669509

Observation a685bbb5-ed60-4461-86a5-cb65df421f0e · outbound

This paper cites EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.

Reconstructing 4D Spatial Intelligence: A Survey EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Reference 69

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.762758Z digest=sha256:e63cb0356c771cd10fc83a1cecce946f4990e9e69caa5ff6ec0fe07f3897e5b5

Observation 860b554d-8800-41a5-bb7d-103f99e7ed60 · outbound

This paper cites Gravity-aware monocular 3d human-object reconstruction,.

Reconstructing 4D Spatial Intelligence: A Survey Gravity-aware monocular 3d human-object reconstruction,

Reference 70

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.767767Z digest=sha256:7da0bfc1f5d41dbea3514b2d131caf47dd0cb1d0ada7c88edb2fc2c2058c1af4

Observation e28055c2-e59e-4a3c-9788-d9d469d14fab · outbound

This paper cites D3D-HOI: Dynamic 3D Human-Object Interactions from Videos.

Reconstructing 4D Spatial Intelligence: A Survey D3D-HOI: Dynamic 3D Human-Object Interactions from Videos

Reference 71

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.772694Z digest=sha256:9999edd2a3706f112a69569ad0222ebae955b9cf7793d5e91de2aa7c8704690c

Observation 6cd655e2-5df6-46d1-a02b-f6585917cccd · outbound

This paper cites Behave: Dataset and method for tracking human object interactions,.

Reconstructing 4D Spatial Intelligence: A Survey Behave: Dataset and method for tracking human object interactions,

Reference 72

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.777960Z digest=sha256:5f9a6a2e947fb134267bb6fe02c3f70c487ec935c7e9a5109a950133a505aa82

Observation eab26ea9-9390-45fd-9aa1-59a539bea58f · outbound

This paper cites Intercap: Joint markerless 3d tracking of humans and objects in interaction,.

Reconstructing 4D Spatial Intelligence: A Survey Intercap: Joint markerless 3d tracking of humans and objects in interaction,

Reference 73

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.782864Z digest=sha256:ddd286f4deace70a7177e05f4d529d40b33ed4de80c39f0aa4956a4cccf3d2f9

Observation b1f9718c-3c71-424d-9eb2-10345d3c733b · outbound

This paper cites Full-body articulated human-object inter- action,.

Reconstructing 4D Spatial Intelligence: A Survey Full-body articulated human-object inter- action,

Reference 74

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.787541Z digest=sha256:fb0f46591fd7bf5a945989aff2745b9efaa5d76dd3ef2bee851cbd38ab9e7ea0

Observation fefc755b-2754-417e-9266-ac0ce537708c · outbound

This paper cites StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset.

Reconstructing 4D Spatial Intelligence: A Survey StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset

Reference 75

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.792493Z digest=sha256:3f4c5e1d7820f248cae1ca5b7e04d9d846cc49f1204a6a350f3c4a2fbcce15df

Observation 9fcbd8cd-8965-44e7-94c7-6ddf8bd7ba76 · outbound

This paper cites Monocular human-object recon- struction in the wild,.

Reconstructing 4D Spatial Intelligence: A Survey Monocular human-object recon- struction in the wild,

Reference 76

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.797346Z digest=sha256:701cc4a3e8838b7e52fb7a226be13c3f1850687f0186826d6ebc449108f43ef1

Observation 0adb414a-c4d3-4366-9166-fa9a10709aff · outbound

This paper cites I’m hoi: Inertia-aware monocular capture of 3d human- object interactions,.

Reconstructing 4D Spatial Intelligence: A Survey I’m hoi: Inertia-aware monocular capture of 3d human- object interactions,

Reference 77

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.801891Z digest=sha256:432006d0ae1295d0a922e7e7ed96132a54ac3c5456b1cad155deb383e547ae44

Observation 98d946b5-81dd-48e5-bc77-2497abca4b06 · outbound

This paper cites SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency.

Reconstructing 4D Spatial Intelligence: A Survey SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency

Reference 78

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.806630Z digest=sha256:245d4537c9c2df70f6c8041c86cc962baf36081ea6d134e65be1acfbc60a8068

Observation 434af2c3-3f40-490a-ab10-e58855fe3860 · outbound

This paper cites InterTrack: Tracking Human Object Interaction without Object Templates.

Reconstructing 4D Spatial Intelligence: A Survey InterTrack: Tracking Human Object Interaction without Object Templates

Reference 79

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Observation 9e8406f3-fcbb-4376-a3c5-7477622babb3 · outbound

This paper cites AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation.

Reconstructing 4D Spatial Intelligence: A Survey AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation

Reference 80

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Observation e1cb13cc-12ff-413c-843e-b5944adee604 · outbound

This paper cites The one where they reconstructed 3d humans and environments in tv shows,.

Reconstructing 4D Spatial Intelligence: A Survey The one where they reconstructed 3d humans and environments in tv shows,

Reference 81

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source=pdf_text observed=2026-08-06T13:02:28.824114Z digest=sha256:1f5fc6cff1ea5ac25734667c75e292432855527b1a6314b5f5054b4ad78d0f00

Observation ce736998-eb89-4015-b243-c4707f6a395a · outbound

This paper cites Joint Optimization for 4D Human-Scene Reconstruction in the Wild.

Reconstructing 4D Spatial Intelligence: A Survey Joint Optimization for 4D Human-Scene Reconstruction in the Wild

Reference 82

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source=pdf_text observed=2026-08-06T13:02:28.829575Z digest=sha256:7f0e43b48dfee53354eeca4233ada54a1e72e61c4fff9c31c5d4242057e3af61

Observation 28acbc36-f43f-4a04-be28-79d615eec000 · outbound

This paper cites Odhsr: Online dense 3d reconstruction of humans and scenes from monocular videos,.

Reconstructing 4D Spatial Intelligence: A Survey Odhsr: Online dense 3d reconstruction of humans and scenes from monocular videos,

Reference 83

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source=pdf_text observed=2026-08-06T13:02:28.835330Z digest=sha256:3a83e2bf8c6b341240c00ee4dd128006050af9a335ff58ab8b40d2098125abfe

Observation 09ada350-2779-4d27-b659-8bf87af3c972 · outbound

This paper cites Hosnerf: Dynamic human-object-scene neu- ral radiance fields from a single video,.

Reconstructing 4D Spatial Intelligence: A Survey Hosnerf: Dynamic human-object-scene neu- ral radiance fields from a single video,

Reference 84

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source=pdf_text observed=2026-08-06T13:02:28.839788Z digest=sha256:40ae84315f5bf1d329722b7538a2f08abda2fbb075bc86ffd92045b4a1e1d15c

Observation b14afb07-2f2f-4915-9cb0-20741adf8ec6 · outbound

This paper cites Neuman: Neural human radiance field from a single video,.

Reconstructing 4D Spatial Intelligence: A Survey Neuman: Neural human radiance field from a single video,

Reference 85

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source=pdf_text observed=2026-08-06T13:02:28.844890Z digest=sha256:9bd2b10a6875b584282bd8e668c6c4e7e020e6b6fdfda360fe5dd8303b83bb06

Observation a2830648-99d7-4592-b864-3c7ed6ba11b7 · outbound

This paper cites PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction.

Reconstructing 4D Spatial Intelligence: A Survey PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction

Reference 86

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source=pdf_text observed=2026-08-06T13:02:28.849195Z digest=sha256:82bfad4b42ab09cd4486c87b464886277ab8bcb8d6c2c39fc3cf3661af6f9a74

Observation 8876312f-7d6b-4f7e-af69-40e384290c6c · outbound

This paper cites Perpetual humanoid control for real-time simulated avatars,.

Reconstructing 4D Spatial Intelligence: A Survey Perpetual humanoid control for real-time simulated avatars,

Reference 87

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source=pdf_text observed=2026-08-06T13:02:28.853667Z digest=sha256:feb98a7017b4d248296e94d728f522013e0afd1b47576744dac24bc2031b8420

Observation 906b0fe4-9eb3-4c03-a83d-83dc6009d54c · outbound

This paper cites Universal humanoid motion representations for physics-based control,.

Reconstructing 4D Spatial Intelligence: A Survey Universal humanoid motion representations for physics-based control,

Reference 88

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source=pdf_text observed=2026-08-06T13:02:28.857916Z digest=sha256:e27bc10b52ed5ff6895e4ec9e545d19ac779d0af8ef788145456eb726fa643b1

Observation 35a47705-4269-437a-9452-97c9b5f3155a · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

Reconstructing 4D Spatial Intelligence: A Survey Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 89

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source=pdf_text observed=2026-08-06T13:02:28.862444Z digest=sha256:f3e71f16b520b2c1778f90cec2e8df471cec624499e716c00d3652d5cda2be4b

Observation 841601de-7b5d-4e99-983b-d3a06ef59ab3 · outbound

This paper cites Reinforcement learning,.

Reconstructing 4D Spatial Intelligence: A Survey Reinforcement learning,

Reference 90

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source=pdf_text observed=2026-08-06T13:02:28.866857Z digest=sha256:bb81010c5482b1a4fe53f58b23d2395756e6d8f326f1e69b7727597153b7d4e6

Observation aa8a111f-079b-4c5d-979b-0411510c96cb · outbound

This paper cites Reinforcement learning: A survey,.

Reconstructing 4D Spatial Intelligence: A Survey Reinforcement learning: A survey,

Reference 91

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source=pdf_text observed=2026-08-06T13:02:28.871324Z digest=sha256:73cf72f54cd032c5df9d9c83d882962fd065f96204a66a893177158bdfd9d824

Observation dcc8069f-92bd-4c28-a8fa-bd400dddb976 · outbound

This paper cites Reinforcement learning,.

Reconstructing 4D Spatial Intelligence: A Survey Reinforcement learning,

Reference 92

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source=pdf_text observed=2026-08-06T13:02:28.875639Z digest=sha256:04782b17b98ac5c83f3353cc084c86cb9f0660137d553ca0b3f9a894526cf89e

Observation fb5c6197-befd-428c-a4cd-cb85b66efa7e · outbound

This paper cites Physicsnerf: Physics-guided 3d reconstruction from sparse views,.

Reconstructing 4D Spatial Intelligence: A Survey Physicsnerf: Physics-guided 3d reconstruction from sparse views,

Reference 93

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source=pdf_text observed=2026-08-06T13:02:28.880151Z digest=sha256:204cb55bbd326c7485e25ca7b74297e000a7c3e217677e498d6e8622e94c82fd

Observation f99a04f3-0cee-4190-ac03-044238855d2d · outbound

This paper cites Pbr-nerf: Inverse rendering with physics-based neural fields,.

Reconstructing 4D Spatial Intelligence: A Survey Pbr-nerf: Inverse rendering with physics-based neural fields,

Reference 94

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source=pdf_text observed=2026-08-06T13:02:28.884509Z digest=sha256:788b594bf1d37782b917bd9c5820202a02772572906e41d606b90ff78caf586b

Observation e475ce1c-ff34-4c2f-b74c-7838a936f74f · outbound

This paper cites Cast: Component-aligned 3d scene reconstruction from an rgb image,.

Reconstructing 4D Spatial Intelligence: A Survey Cast: Component-aligned 3d scene reconstruction from an rgb image,

Reference 95

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source=pdf_text observed=2026-08-06T13:02:28.889401Z digest=sha256:2c69ce810da539312bcb408ffc3e7b382c0248f768dd85b174a45aedc8116773

Observation 26f7958c-e65f-45bc-bbea-8ecd53848a47 · outbound

This paper cites Sv3d: Novel multi- view synthesis and 3d generation from a single image using latent video diffusion,.

Reconstructing 4D Spatial Intelligence: A Survey Sv3d: Novel multi- view synthesis and 3d generation from a single image using latent video diffusion,

Reference 96

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source=pdf_text observed=2026-08-06T13:02:28.894051Z digest=sha256:87ae7c7db66c3bf7761b33a2000a7f13e1ae9debc0780b8fbcae3d90083332a1

Observation 4d743a00-7884-4d48-ab0d-6c448e4b69f5 · outbound

This paper cites V3D: Video Diffusion Models are Effective 3D Generators.

Reconstructing 4D Spatial Intelligence: A Survey V3D: Video Diffusion Models are Effective 3D Generators

Reference 97

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source=pdf_text observed=2026-08-06T13:02:28.899027Z digest=sha256:9d5c53addacbad0ce78304d62b5a5b25ab5b9e4541d58d15fdae567c6d11776d

Observation bf376e61-a411-4e0d-8c80-2d5ff58a91bc · outbound

This paper cites Drea- mavatar: Text-and-shape guided 3d human avatar generation via diffusion models,.

Reconstructing 4D Spatial Intelligence: A Survey Drea- mavatar: Text-and-shape guided 3d human avatar generation via diffusion models,

Reference 98

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source=pdf_text observed=2026-08-06T13:02:28.903721Z digest=sha256:e963483a16ac9dadb063ec1c06dc3a952771e810414c3da65a72c14996050d4e

Observation 318abee8-87ef-4918-8846-05ab9913f119 · outbound

This paper cites 4d-fy: Text-to-4d generation using hybrid score distillation sampling,.

Reconstructing 4D Spatial Intelligence: A Survey 4d-fy: Text-to-4d generation using hybrid score distillation sampling,

Reference 99

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source=pdf_text observed=2026-08-06T13:02:28.908275Z digest=sha256:d0fd937e308b152795d7c26a3c57d4639895bebbed031cb939fb0cf0d5f5c1f4

Observation 6be87aea-db7a-412f-b6d9-23d6d4503812 · outbound

This paper cites Tc4d: Trajectory- conditioned text-to-4d generation,.

Reconstructing 4D Spatial Intelligence: A Survey Tc4d: Trajectory- conditioned text-to-4d generation,

Reference 100

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source=pdf_text observed=2026-08-06T13:02:28.913510Z digest=sha256:2ba6d3b19a560e61750dadd725f718d04c13dfd11714191603f9a98b5089aa1c

Pith citing papers

Observation 72d89ce9-bfa9-4f90-bf78-3f2b92e094c1 · inbound

PAGE-4D: Disentangled pose and geometry estimation for vggt-4d perception cites this paper.

PAGE-4D: Disentangled pose and geometry estimation for vggt-4d perception Reconstructing 4D Spatial Intelligence: A Survey

Reference 3

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arxiv_id, observed 2026-05-18T06:20:58.410981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bfd21bf4-25c7-4aa3-8d80-60f0a11e5ca2 · inbound

PAGE-4D: Disentangled pose and geometry estimation for vggt-4d perception cites this paper.

PAGE-4D: Disentangled pose and geometry estimation for vggt-4d perception Reconstructing 4D Spatial Intelligence: A Survey

Reference 2012

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source=pdf_text observed=2026-08-04T09:05:34.406350Z digest=sha256:ec7d2781d591135cb16af4b7667667c02098b3c9b7f54b45ce57d62d58022624

Observation 19c1df8a-7ddf-4f7d-9f4b-fa45b3533431 · inbound

Advances in 4D Representation: Geometry, Motion, and Interaction cites this paper.

Advances in 4D Representation: Geometry, Motion, and Interaction Reconstructing 4D Spatial Intelligence: A Survey

Reference 37

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source=arxiv_source observed=2026-08-04T08:45:14.759040Z digest=sha256:5003294dfb8bf2e3b3a7faeebc779015b4e643ed62c5f77325ef3234e874ba71

Observation e3cc3bbe-5995-4340-bc0c-6b0b1414eb61 · inbound

CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos cites this paper.

CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos Reconstructing 4D Spatial Intelligence: A Survey

Reference 10

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arxiv_id, observed 2026-05-16T13:47:57.520596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T13:43:26.460480Z digest=sha256:cc763f2d5fbfaccfb417488704742cb4efd07d195713ba6c380e5621634687bf

Observation 812886aa-9395-4f1a-8867-a7bc8e618169 · inbound

Stitch4D: Sparse Multi-Location 4D Urban Reconstruction via Spatio-Temporal Interpolation cites this paper.

Stitch4D: Sparse Multi-Location 4D Urban Reconstruction via Spatio-Temporal Interpolation Reconstructing 4D Spatial Intelligence: A Survey

Reference 3

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arxiv_id, observed 2026-05-11T05:31:00.499998Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:05:19.044269Z digest=sha256:bb01e7d4ca27af8475bd85dcb433fee454be6ba3cb5d00b9c1391d21d118bfc4

Observation 943342c0-c503-42a4-a790-556bb57acd82 · inbound

Stitch4D: Sparse Multi-Location 4D Urban Reconstruction via Spatio-Temporal Interpolation cites this paper.

Stitch4D: Sparse Multi-Location 4D Urban Reconstruction via Spatio-Temporal Interpolation Reconstructing 4D Spatial Intelligence: A Survey

Reference 3

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source=pdf_text observed=2026-07-13T00:10:18.016312Z digest=sha256:3053cfd8cfa26cd2057fdd4222e378e83fe4b330bc7178b1f6210b01d126014d

Observation 7a00b81c-1662-4420-93a9-f7de33928076 · inbound

Real2Sim in HOI: Toward Physically Plausible HOI Reconstruction from Monocular Videos cites this paper.

Real2Sim in HOI: Toward Physically Plausible HOI Reconstruction from Monocular Videos Reconstructing 4D Spatial Intelligence: A Survey

Reference 1

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arxiv_id, observed 2026-05-15T02:49:41.510037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:43:51.976969Z digest=sha256:ae0c0351a330b36207d1a5a35e89e3ef9621f4cbe61701692505e205e218a7a3

Observation 8f327591-e523-40e7-9771-937a58c48eb4 · inbound

One Video, One World: Turning Monocular Video into Physical 4D Scenes cites this paper.

One Video, One World: Turning Monocular Video into Physical 4D Scenes Reconstructing 4D Spatial Intelligence: A Survey

Reference 4

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arxiv_id, observed 2026-07-01T10:15:44.970278Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T05:38:19.541391Z digest=sha256:e158b38eb591176782aa0ae22d7220ebf6a138d029e1c76c3cd848b0ae2636b4

Observation 26bc1c29-aea4-4686-8583-c5ab3534f2c9 · inbound

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine cites this paper.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Reconstructing 4D Spatial Intelligence: A Survey

Reference 56

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