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Paper Citation Record · LEDGER

PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction

As of 17 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.

pith.paper-citation-record.v1
2507.21960 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:17:22.380837Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:25:15.494462Z

measured 0 of 1 external citation measurements

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

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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
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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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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 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.226082Z digest=sha256:549cb063c9d60249c54b76ca9c24be8065813b5295ff4c58839ce0c7193338f4

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.

source=pdf_text observed=2026-08-06T12:17:22.229251Z digest=sha256:8a1d3b5eadb7da9a445968ae6683985ec7a947aae295af9187fdd371d4514a1f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.233029Z digest=sha256:7d20e6e298c9b5c3dba1a0380daea304758475f873590e9faa955c685da2cab2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.237024Z digest=sha256:9cf33cae62a4a584907ec349eed4f5417b9f823cde02b8bb42533569eb3ad968

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.240474Z digest=sha256:a7d81be351542091677d70175a9e6e0de02408ef8ed701f0daea9534c10520bf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.243777Z digest=sha256:c332a36e03d7cf92c638c58075b9c453bfe61d3cb691ee01723830a0690c650f

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.

source=pdf_text observed=2026-08-06T12:17:22.247119Z digest=sha256:02b8f0f57875746e1f92cb4bded6bae267c04dc4a8936be50aadb23becbb8de8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.250564Z digest=sha256:a1caf71e120f02eceb4dc849c3ab6132a3747f93df343e66b075367f51811df1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.253746Z digest=sha256:397a71fb8c2177110824d75158119b5e72de11bebc9b9a668d368e3a44a36482

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.257653Z digest=sha256:fd24ef04aaa91576fcdcb7f7a0afe239804ad0dd1fb1db2bbb9c8e90ad66ff18

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.261199Z digest=sha256:fd991d1a70ac6f8d5f43263d18662165a7b352185ddbb64c70931f8f9ee1717c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.264516Z digest=sha256:f417013c5ab08c627c4a3676689eb693083af7b90c82aa9d0f677b469ce8d071

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.268747Z digest=sha256:d5e25df9c015d8a6dae885fc3758421733b93cd18a5aa36b00c8605db8b41f86

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.272103Z digest=sha256:4a127bed7d044693d298bd90cd8768faa5b614dd406473f6a6bd005dcb708ecd

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.

source=pdf_text observed=2026-08-06T12:17:22.275400Z digest=sha256:1bb3acaaad980e3018a238e1ebd3da080f690f9d508c9c86147229ab85fe6144

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.278895Z digest=sha256:dea39b357b421b05e9c5fbb315422584fbccb9a3b94f3bce191d7ed12a034105

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.282256Z digest=sha256:a25a55b888494d07def185982e6a70ebd5e9e59d11d14ffbf80d128b2e5f14d6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.285376Z digest=sha256:09942615c39ac622aba295df979abd55f377f69de551b6c1584c0ec15badbb03

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.289816Z digest=sha256:d139e73ef963cb0a18ded8262571a2699176c69aecce6b16dfb3bd51bcc8e7d2

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.

source=pdf_text observed=2026-08-06T12:17:22.293175Z digest=sha256:ff66bc95163e58cc00c05eb0c431f662a98078d616be481e0bd0f8ccf6f9d6c1

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.

source=pdf_text observed=2026-08-06T12:17:22.297496Z digest=sha256:05152a174e249653b0d3e34d6a554285d177a706ba6fb9761037cf8ebaa37c5d

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.

source=pdf_text observed=2026-08-06T12:17:22.301243Z digest=sha256:d25dd6b55f72a9bc28a94189c7d9dd72d24aefc829d90d8d501155826cddb0d2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.304955Z digest=sha256:44ae724b5479de7bff464a799b940c076c26a1095b79bc9f8a7ecb2e8b618fe7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.308175Z digest=sha256:949e2d2ee3de4f928665cb06fcd1a5b22d936f8654b0ce29eb72ec78f8f6cf1f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.311519Z digest=sha256:49e3974b66c0565186d664e934b964619d8086c3e5ce330daf2b140452e27996

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.314775Z digest=sha256:04ecb43f8ff200ead565fae92e55d616c395849a239ee9c43ac49a39585a2f75

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.318248Z digest=sha256:e7f1bf7c4dcc3aa5c4f68432ce5db3dfd69789d947d21fc29631158d9f46ffb0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.321494Z digest=sha256:79a791e6062732cebe49d4869b08de27f2585224bdfae78c83bea39116eebd7f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.324641Z digest=sha256:8417ccb31a50bd209628ed2c8816d81bbf8905d42086d409a3b3e3db0e4f58a3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.327868Z digest=sha256:0efd8a338e245ac7896cf3e57f4f35967b8cd519b15bc3055f5406776461ff61

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.330847Z digest=sha256:391d82f8a73bc2a80142df373e1e54b6300b25ae3a3a9e3c6035ad04a073e682

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.334778Z digest=sha256:f4a090a847dacbaade0c6e4e5b5439c05a894f7912f95a289bcc93d54148151a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.337994Z digest=sha256:ac31a4dadd435c7bac96bfbf345f7d76cb6525ef82bd5637ea320520015432df

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.341046Z digest=sha256:c64dc71e43945b3a1da1e579eb9f21cf1f2f34dd422564e37392085dad507eb4

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

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unresolved
no resolver link, observed 2026-08-06T12:17:22.344418Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:22.344418Z digest=sha256:7b557a2ef90767177a80dbef3d034fa4f864c5031a50419ef9b2b1a84b9bb53d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.347725Z digest=sha256:b51b683b36e4be7281159b208072f3f13ea7ebb1e8f4841f59c9621b726c6de1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.351702Z digest=sha256:aa20f7aec8829db272ae25a7e27234c46e47d693af9310a41d8abee7985e68ab

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.354897Z digest=sha256:8bca00380d211e710c4d021f5d3d85280a5fb1548fde27edd3b34beb6c262857

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.357977Z digest=sha256:84524e40a4836cf8fe89fc827f2a2252b78c6d217cb058f54a6e360bfba38d88

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.

source=pdf_text observed=2026-08-06T12:17:22.361041Z digest=sha256:6ee0026b0229b8a4574822632988fa3f5bd8695ad8a255838fa79a2a86008beb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.364344Z digest=sha256:418aab049e1d60aa31d35cc8976cd74ecec06ee28ec9622145da41c73a4e1be6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.367557Z digest=sha256:efee9d14db633093f815b6f0ccf830ce17177416e0f41f2b258b0d44fc579e67

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.370813Z digest=sha256:1721f4b9dddcd8a0c20f386a33828ba0d81a762e1a45c9640b165aa73e4f2852

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.373924Z digest=sha256:b86e66e171a720d3dfe0e306772f73ea5277be129a27270884ff97cd16e85dd9

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.

source=pdf_text observed=2026-08-06T12:17:22.377166Z digest=sha256:c08e56b4a9be22df0d0f2edccd780451d12d6c3975f68471ebe561a36c5c1b77

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.380837Z digest=sha256:75697b87765bb851395eebabdb81bc3006e92b611c6c70ad3510ce5eb89388dd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:17:22.137413Z digest=sha256:a79999ce45eeea3096b054232dbdaa8b43fbbce20743df6790121e3cbf0b5fef

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 2026-08-17T06:30:58.91139+00:00.

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