Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:17:22.380837Z
Paper Citation Record · LEDGER
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction
As of 20 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 1 inbound Pith citation observation for arXiv:2507.21960.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T18:25:15.494462Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T00:35:52.829379Z
Reference resolution
78 of 78 outbound references displayed
- verified exact2
- verified fuzzy64
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 72c90086-6267-4537-b1eb-5dd90969d49c · outbound
This paper cites Elite360d: Towards efficient 360 depth estimation via semantic-and distance-aware bi- projection fusion.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Elite360d: Towards efficient 360 depth estimation via semantic-and distance-aware bi- projection fusion
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.204362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 88852037-94ec-43fc-9e9c-1604bd6c0656 · outbound
This paper cites Hrdfuse: Monocular 360deg depth estimation by collaboratively learning holistic-with-regional depth distri- butions.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Hrdfuse: Monocular 360deg depth estimation by collaboratively learning holistic-with-regional depth distri- butions
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.194033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2355d54c-5c91-428c-9bfe-cfaf82ff2a96 · outbound
This paper cites Virtual reality and 360 panorama technology: a media comparison to study changes in sense of presence, anxiety, and positive emotions.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Virtual reality and 360 panorama technology: a media comparison to study changes in sense of presence, anxiety, and positive emotions
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.181449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5943ffa7-e75b-430d-8b01-fa2315b38162 · outbound
This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.169411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation db71a7e4-7c32-4803-ad4e-81e06a4beefb · outbound
This paper cites VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T12:17:22.517788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e7d9b26c-b488-4bbb-959d-63686fd1a680 · outbound
This paper cites ZeroGS: Training 3D Gaussian Splatting from Unposed Images.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction ZeroGS: Training 3D Gaussian Splatting from Unposed Images
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T12:17:22.502573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ce58159e-0ab6-45b2-9db9-7b38e823135d · outbound
This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.158037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1a942e16-4f42-424c-90e0-c5e937d3e885 · outbound
This paper cites Panogrf: generalizable spherical radiance fields for wide-baseline panoramas.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Panogrf: generalizable spherical radiance fields for wide-baseline panoramas
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.137428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 313d6783-f725-4fd9-8c12-a17d5290068b · outbound
This paper cites PreF3R: Pose-Free Feed-Forward 3D Gaussian Splatting from Variable-length Image Sequence.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction PreF3R: Pose-Free Feed-Forward 3D Gaussian Splatting from Variable-length Image Sequence
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.144019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f2d32d3-26fa-41fe-adf3-8e06dd6d314d · outbound
This paper cites Splatter-360: Generalizable 360 gaussian splatting for wide- baseline panoramic images.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Splatter-360: Generalizable 360 gaussian splatting for wide- baseline panoramic images
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.126655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 47de64fe-a815-4dc5-ba7b-761d425a8606 · outbound
This paper cites Spherenet: Learning spherical representations for detection and classification in omnidirectional images.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Spherenet: Learning spherical representations for detection and classification in omnidirectional images
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.115431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4b5ba402-184b-48c1-a5a9-16d923b175e5 · outbound
This paper cites Eliminating the blind spot: Adapting 3d object detection and monocular depth estimation to 360 panoramic imagery.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Eliminating the blind spot: Adapting 3d object detection and monocular depth estimation to 360 panoramic imagery
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.104553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2763b3bc-8402-4694-a0b6-dba80099b8e9 · outbound
This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction An image is worth 16x16 words: Trans- formers for image recognition at scale
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.094535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 10f9d6b6-9b2a-407d-8dfe-80c11476b835 · outbound
This paper cites Pano popups: In- door 3d reconstruction with a plane-aware network.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Pano popups: In- door 3d reconstruction with a plane-aware network
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.084980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5a68ab0b-c86f-454c-86aa-a2908d0371b5 · outbound
This paper cites Tangent images for mitigating spherical distortion.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Tangent images for mitigating spherical distortion
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.074418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e5f2b652-2d9b-4280-b75e-70a8b759afb1 · outbound
This paper cites Desktop-based safety training using 360-degree panorama and static virtual reality techniques: A comparative exper- imental study.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Desktop-based safety training using 360-degree panorama and static virtual reality techniques: A comparative exper- imental study
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.063189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 95e0de2b-b6d8-408c-ae18-eeebd0c788c1 · outbound
This paper cites InstantSplat: Sparse-view Gaussian Splatting in Seconds.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction InstantSplat: Sparse-view Gaussian Splatting in Seconds
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.172980Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a797cb6f-0413-4eb0-929d-592533690c5b · outbound
This paper cites Large spatial model: End-to-end unposed images to semantic 3d.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Large spatial model: End-to-end unposed images to semantic 3d
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.052265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ca0b95d8-2e95-4a94-b12c-c5a61be0edb6 · outbound
This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.040564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 48f41d97-d0fb-46bb-a437-2fa36b8e7b3c · outbound
This paper cites Forward flow for novel view synthesis of dynamic scenes.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Forward flow for novel view synthesis of dynamic scenes
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.029141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 498110ea-e23a-48fa-97f2-59439b07e5c1 · outbound
This paper cites Somsi: Spherical novel view synthesis with soft occlusion multi-sphere images.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Somsi: Spherical novel view synthesis with soft occlusion multi-sphere images
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.017882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 21debe34-d80a-4270-94c1-277c7d027a2d · outbound
This paper cites In defense of the eight-point algorithm.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction In defense of the eight-point algorithm
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.004237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fe0ecb9a-e880-4a4f-9033-49faac9fc7e8 · outbound
This paper cites Rotary position embedding for vision transformer.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Rotary position embedding for vision transformer
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.991611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0ffa1fa9-c592-4e75-9f88-d8977a279e69 · outbound
This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction 2d gaussian splatting for geometrically ac- curate radiance fields
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.978792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e4f080dc-5a2e-4a46-b880-e2d298e45b3a · outbound
This paper cites Unifuse: Unidirectional fusion for 360 panorama depth estimation.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Unifuse: Unidirectional fusion for 360 panorama depth estimation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.967794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9c5a03a6-e14d-4f7f-90ad-7a6f91c77baf · outbound
This paper cites Stereo4d: Learning how 9 things move in 3d from internet stereo videos.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Stereo4d: Learning how 9 things move in 3d from internet stereo videos
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.957677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bb57aeaa-0a90-4b96-ac80-996f00382d89 · outbound
This paper cites Selfsplat: Pose-free and 3d prior-free generalizable 3d gaussian splatting.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Selfsplat: Pose-free and 3d prior-free generalizable 3d gaussian splatting
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.947088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 37484b48-842a-4baf-bbc6-43a4a4f856ac · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction 3d gaussian splatting for real-time radiance field rendering
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.212595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c9118f2-6535-4f4a-829b-a78e5f2e1f72 · outbound
This paper cites xformers: A modular and hackable trans- former modelling library.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction xformers: A modular and hackable trans- former modelling library
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.931450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8bc6c4b4-0819-475f-972f-6f110d50fc91 · outbound
This paper cites Slam with panoramic vision.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Slam with panoramic vision
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.921827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 86a0404c-02b3-41b4-9899-e6c46d164629 · outbound
This paper cites Ep n p: An accurate o (n) solution to the p n p problem.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Ep n p: An accurate o (n) solution to the p n p problem
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.912453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 23cfa5e2-ecba-46e1-8787-0e8b81dcf67c · outbound
This paper cites Ground- ing image matching in 3d with mast3r.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Ground- ing image matching in 3d with mast3r
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.901200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 60df0833-000b-485a-9ba3-c56506844e3e · outbound
This paper cites ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.229251Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d2012a8-896d-4019-9a9f-c53f292c5449 · outbound
This paper cites Augmented reality: a novel approach for navigating in panorama-based virtual environments (pbve).
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Augmented reality: a novel approach for navigating in panorama-based virtual environments (pbve)
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.890644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 51026a94-4da7-4709-aefb-140393362200 · outbound
This paper cites Neural rays for occlusion-aware image-based ren- dering.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Neural rays for occlusion-aware image-based ren- dering
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.880714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 90dd5e9c-0e66-4dad-8f2a-10ce74728608 · outbound
This paper cites Slam3r: Real- time dense scene reconstruction from monocular rgb videos.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Slam3r: Real- time dense scene reconstruction from monocular rgb videos
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.870331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b0dcb0ce-383b-4b09-b921-b996ca4e57ac · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Swin transformer: Hierarchical vision transformer using shifted windows
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.860288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5e9f02a7-2f95-489e-b374-e1efcb8649eb · outbound
This paper cites Decoupled Weight Decay Regularization.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Decoupled Weight Decay Regularization
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.247119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b97128b8-da51-4aae-9c84-cb7f162e2ceb · outbound
This paper cites Distinctive image features from scale- invariant keypoints.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Distinctive image features from scale- invariant keypoints
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.849732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8bd51354-11e7-4c63-b5c9-f3b4c89c1393 · outbound
This paper cites Align3r: Aligned monocular depth estima- tion for dynamic videos.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Align3r: Aligned monocular depth estima- tion for dynamic videos
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.839798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2b5af00c-d28a-4510-8100-7467dd7ede0b · outbound
This paper cites 3d geometry-aware deformable gaussian splatting for dynamic view synthesis.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction 3d geometry-aware deformable gaussian splatting for dynamic view synthesis
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.830029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 86ac9c12-0e35-40b9-92dc-2e2e61a56fc3 · outbound
This paper cites Fit: Flexible vision trans- former for diffusion model.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Fit: Flexible vision trans- former for diffusion model
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.818001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2da80b1c-1d79-4af8-82b8-971e04d9ebe9 · outbound
This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Nerf: Representing scenes as neural radiance fields for view syn- thesis
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.807028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dc0154d8-8807-4205-ba31-34cb2a99d302 · outbound
This paper cites Epipolar-free 3d gaussian splatting for generalizable novel view synthesis.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Epipolar-free 3d gaussian splatting for generalizable novel view synthesis
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.795592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 530d6d89-2bfc-4418-94e2-98e25a08c123 · outbound
This paper cites High-resolution depth estimation for 360deg panoramas through perspective and panoramic depth images registration.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction High-resolution depth estimation for 360deg panoramas through perspective and panoramic depth images registration
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.783420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7dc95146-5054-46d3-a824-b38b0afe7558 · outbound
This paper cites Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.275400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e17ffe53-e363-485b-a365-5bdc1eaec268 · outbound
This paper cites Vi- sion transformers for dense prediction.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Vi- sion transformers for dense prediction
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.772985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 14782010-ae63-4491-b1c8-74c1e3f1a303 · outbound
This paper cites 360monodepth: High-resolution 360deg monocular depth estimation.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction 360monodepth: High-resolution 360deg monocular depth estimation
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.763196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8f5f8ab2-2507-49d8-b7b5-928a7172df46 · outbound
This paper cites Habitat: A plat- form for embodied ai research.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Habitat: A plat- form for embodied ai research
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.753378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d4f90a02-4a1b-4c03-bec8-132c802ef171 · outbound
This paper cites Panoformer: Panorama transformer for indoor 360 depth estimation.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Panoformer: Panorama transformer for indoor 360 depth estimation
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.743660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 23c9bb5d-5a5a-4baf-a3a7-9e830f336b85 · outbound
This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.293175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 544fca2d-5886-40b1-8b71-722bcf55ce23 · outbound
This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction The Replica Dataset: A Digital Replica of Indoor Spaces
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.297496Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 791c1fa9-3f12-45ec-9d2c-1be9ca87dec9 · outbound
This paper cites Roformer: Enhanced transformer with rotary position embedding.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Roformer: Enhanced transformer with rotary position embedding
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.301243Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a4a5751-46fd-445d-ac55-09d25f6b86c9 · outbound
This paper cites Hohonet: 360 indoor holistic understanding with latent horizontal fea- tures.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Hohonet: 360 indoor holistic understanding with latent horizontal fea- tures
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.728139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0e96af74-1191-4b10-a8fe-57b5c240646f · outbound
This paper cites Hisplat: Hierarchical 3d gaus- sian splatting for generalizable sparse-view reconstruction.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Hisplat: Hierarchical 3d gaus- sian splatting for generalizable sparse-view reconstruction
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.718705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 629bba7d-18c1-4bad-b5e9-c4671e4f3256 · outbound
This paper cites Mv-dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Mv-dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.707977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8f32902b-0e77-4f11-9d40-0692b4aad34a · outbound
This paper cites Distortion-aware convolutional filters for dense prediction in panoramic images.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Distortion-aware convolutional filters for dense prediction in panoramic images
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.698299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5d6ec5ba-46d7-422f-8957-65dff9997895 · outbound
This paper cites Bifuse: Monocular 360 depth estimation via bi-projection fusion.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Bifuse: Monocular 360 depth estimation via bi-projection fusion
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.688422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e17c96c0-730c-4220-be5a-c8bbb9ed129a · outbound
This paper cites 3d reconstruction with spatial memory.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction 3d reconstruction with spatial memory
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.678930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4d6542ff-d835-47f6-83cc-71b63a89bc22 · outbound
This paper cites Ibr- net: Learning multi-view image-based rendering.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Ibr- net: Learning multi-view image-based rendering
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.668782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dd0a544b-e0b3-42bd-84d9-62e67209dd07 · outbound
This paper cites Continuous 3d per- ception model with persistent state.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Continuous 3d per- ception model with persistent state
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.659700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c0e42c0d-fd26-43b5-9644-a711c8bbdb52 · outbound
This paper cites Dust3r: Geometric 3d vi- sion made easy.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Dust3r: Geometric 3d vi- sion made easy
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.650268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2bbf30bf-3d57-4ec7-bf95-8d42726c161d · outbound
This paper cites Looprefine: Deep camera pose estimation with loop consistency.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Looprefine: Deep camera pose estimation with loop consistency
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.641285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 66c24636-660a-416c-8870-ce7dca25f835 · outbound
This paper cites Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.631881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f11ca78f-92f1-4cea-bb93-b2c26fc39f95 · outbound
This paper cites Depthsplat: Connecting gaussian splatting and depth.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Depthsplat: Connecting gaussian splatting and depth
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.622439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f8260450-ab37-4d4f-86b0-97aae7889ec1 · outbound
This paper cites FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.344418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7c7d863-126d-4ab9-8786-ea99ba43bfeb · outbound
This paper cites Fast3r: Towards 3d reconstruction of 1000+ images in one forward pass.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Fast3r: Towards 3d reconstruction of 1000+ images in one forward pass
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.613221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 156c4d7b-ff45-4bca-8092-8d532110f148 · outbound
This paper cites No pose, no problem: Surprisingly simple 3d gaussian splats from sparse unposed images.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction No pose, no problem: Surprisingly simple 3d gaussian splats from sparse unposed images
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.603883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8f7ea072-5aed-4ecf-bed7-36a3aba9e662 · outbound
This paper cites pixelnerf: Neural radiance fields from one or few images.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction pixelnerf: Neural radiance fields from one or few images
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.593842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bd037148-0b13-4157-8d2d-d7de43eb6f77 · outbound
This paper cites Panelnet: Understanding 360 indoor environment via panel representation.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Panelnet: Understanding 360 indoor environment via panel representation
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.583757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1718a443-94b0-4fca-9eec-6a83062b7fbd · outbound
This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.361041Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 308e18b7-1391-418a-8e2c-c7ed2d6f29f2 · outbound
This paper cites Egformer: Equirectangular geometry- biased transformer for 360 depth estimation.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Egformer: Equirectangular geometry- biased transformer for 360 depth estimation
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.573874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4066a0de-ea9b-4e9d-bc8a-611afa17d4d6 · outbound
This paper cites Pansplat: 4k panorama synthesis with feed-forward gaussian splatting.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Pansplat: 4k panorama synthesis with feed-forward gaussian splatting
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.564210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 425d6644-9c25-4e80-947a-8433b3f2df1c · outbound
This paper cites Bending reality: Distortion-aware transformers for adapting to panoramic se- mantic segmentation.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Bending reality: Distortion-aware transformers for adapting to panoramic se- mantic segmentation
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.554155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 10cc0482-cd5d-425e-8eb1-20ee3566ce34 · outbound
This paper cites Monst3r: A simple approach for estimating geometry in the presence of motion.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Monst3r: A simple approach for estimating geometry in the presence of motion
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.544043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 50dfda41-0d2b-4a4a-854e-d5577beb156a · outbound
This paper cites Acdnet: Adaptively combined dilated con- volution for monocular panorama depth estimation.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Acdnet: Adaptively combined dilated con- volution for monocular panorama depth estimation
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:22.377166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff8a38df-8f79-43c6-97fb-58e28a23cadd · outbound
This paper cites Omnidepth: Dense depth estimation for indoors spherical panoramas.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction Omnidepth: Dense depth estimation for indoors spherical panoramas
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:22.528283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e240cd7c-cac7-4a4e-b637-0a0c79e25c76 · outbound
This paper cites 2, 5, 6, 7, 13, 14.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction 2, 5, 6, 7, 13, 14
Reference 386
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:17:23.147643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation 448ff9c9-3b32-4099-9ec7-ccfa4ae0e829 · inbound
Genie Sim PanoRecon: Fast Immersive Scene Generation from Single-View Panorama cites this paper.
Genie Sim PanoRecon: Fast Immersive Scene Generation from Single-View Panorama PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:35:52.831250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.