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Paper Citation Record · LEDGER

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.11069.

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

pith.paper-citation-record.v1
2507.11069 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:24:49.590033Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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  • verified fuzzy31
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6be74733-06a7-48f0-9ba1-4da8d89e8930 · outbound

This paper cites Clearpose: Large-scale trans- parent object dataset and benchmark.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Clearpose: Large-scale trans- parent object dataset and benchmark

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cd9bafa9-f8e3-45c6-863c-80bb0f5e65ee · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 88a9f95a-a028-4f1e-a6de-35b185c71151 · outbound

This paper cites Strobl, Matthias Humt, and Rudolph Triebel.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Strobl, Matthias Humt, and Rudolph Triebel

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a05aa2de-3bf9-4af6-83bc-394c7811ddf3 · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 888068b2-5ffa-4ca9-ac08-402a4c8e60c8 · outbound

This paper cites Residual-nerf: Learning residual nerfs for transparent object manipulation.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Residual-nerf: Learning residual nerfs for transparent object manipulation

Reference 5

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raw_fallback, observed 2026-08-06T17:24:50.431567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 16da554b-024d-49b7-babb-0211bd3c358e · outbound

This paper cites InstantSplat: Sparse-view Gaussian Splatting in Seconds.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update InstantSplat: Sparse-view Gaussian Splatting in Seconds

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 324f4488-91e2-4662-9a20-e57dbef35927 · outbound

This paper cites Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 62082ff9-e469-4641-a018-0889f1592f95 · outbound

This paper cites Difftaichi: Differentiable programming for physical simulation.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Difftaichi: Differentiable programming for physical simulation

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d389324a-dcfa-4272-8d1e-14e577687fb4 · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 9

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ae8f720d-ec56-4abd-a561-6bcd1d46901e · outbound

This paper cites Fatesgs: Fast and accurate sparse-view surface reconstruction using gaussian splatting with depth-feature consistency.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Fatesgs: Fast and accurate sparse-view surface reconstruction using gaussian splatting with depth-feature consistency

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 95977aa1-83c8-4f7b-8673-b1798c70f032 · outbound

This paper cites Transparentgs: Fast inverse rendering of transpar- ent objects with gaussians.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Transparentgs: Fast inverse rendering of transpar- ent objects with gaussians

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7f46c8ca-c241-4576-81b6-a218c0ab398b · outbound

This paper cites Dex-Nerf: Using a Neural Radiance Field to Grasp Transparent Objects.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Dex-Nerf: Using a Neural Radiance Field to Grasp Transparent Objects

Reference 12

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Source-reported events for the cited work

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Observation ca4072fd-d471-40ab-ad73-ddd67b8a87f7 · outbound

This paper cites A4t: Hierarchical affordance detection for transparent ob- jects depth reconstruction and manipulation.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update A4t: Hierarchical affordance detection for transparent ob- jects depth reconstruction and manipulation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c09afa9e-632a-4c22-8e32-9c917e83fd34 · outbound

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

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update 3d gaussian splatting for real-time radiance field rendering

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7eff816e-0b4b-4d12-a70f-13644fa37a75 · outbound

This paper cites Evo-nerf: Evolving nerf for sequential robot grasping of transparent objects.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Evo-nerf: Evolving nerf for sequential robot grasping of transparent objects

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f08e5fc9-58aa-484f-bb95-2adb3bca6d75 · outbound

This paper cites Transpose: Large-scale multispectral dataset for transparent object.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Transpose: Large-scale multispectral dataset for transparent object

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2c322b0a-9e6f-43b3-8575-3c453ed5a549 · outbound

This paper cites Transplat: Surface embedding-guided 3d gaussian splatting for transparent object manipulation.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Transplat: Surface embedding-guided 3d gaussian splatting for transparent object manipulation

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3ed4eab5-b5fd-4e69-8cf2-be3643ecc867 · outbound

This paper cites Segment any- thing.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Segment any- thing

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 6a70ff91-8efc-4edf-bec8-123e94204757 · outbound

This paper cites Nfl: Normal field learning for 6-dof grasping of trans- parent objects.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Nfl: Normal field learning for 6-dof grasping of trans- parent objects

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 846991a5-2ca9-4121-a8f5-725075efb3f6 · outbound

This paper cites Ground- ing image matching in 3d with mast3r, 2024.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Ground- ing image matching in 3d with mast3r, 2024

Reference 20

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Observation 489506f0-8633-4f43-ac9c-6a7fde1b82f4 · outbound

This paper cites Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normaliza- tion.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normaliza- tion

Reference 21

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Unavailable: canonical work link unavailable.

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Observation c7293af8-4148-4e2a-bd47-6649d1777afb · outbound

This paper cites Don’t hit me! glass detection in real-world scenes.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Don’t hit me! glass detection in real-world scenes

Reference 22

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ae0f3821-beb3-46ec-a292-e53d50f130c7 · outbound

This paper cites Glass segmentation using intensity and spectral po- larization cues.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Glass segmentation using intensity and spectral po- larization cues

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a0cbb86e-abe2-43c3-9957-5ab7e4a56492 · outbound

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

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 24

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Unavailable: canonical work link unavailable.

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Observation b25682c5-3e33-4936-bfaa-7a9b629119cb · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 25

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation eba2e69f-65ba-47e7-989e-5c2bde084dc9 · outbound

This paper cites an unresolved cited work.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cd62aa47-3bf7-4173-a3f5-bda028e151b6 · outbound

This paper cites Language-driven physics-based scene synthesis and editing via feature splatting.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Language-driven physics-based scene synthesis and editing via feature splatting

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 97581cbb-b462-401e-8844-4a796f473fe3 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Learning transferable visual models from natural language supervi- sion

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4d033df1-98d5-404c-a6c4-87d134bfcd50 · outbound

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

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ce48b9bb-9531-4d33-81b1-efdcefb564e5 · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks,.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Grounded sam: Assembling open-world models for diverse visual tasks,

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f61d96e3-e47a-4d8d-8d3a-12f17a01524b · outbound

This paper cites Object-Centric 2D Gaussian Splatting: Background Removal and Occlusion-Aware Pruning for Compact Object Models.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Object-Centric 2D Gaussian Splatting: Background Removal and Occlusion-Aware Pruning for Compact Object Models

Reference 31

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Unavailable: canonical work link unavailable.

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Observation 711b62a3-5831-41a1-be99-2815fec13795 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:24:49.529680Z digest=sha256:c4fa26e5911c2167f52ab3ffb64c5415047120b5779e69e1e5687db8d574e6c6

Observation c1a318d0-4dca-4699-9ece-1ee1278688bb · outbound

This paper cites Structure-from-motion revisited.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Structure-from-motion revisited

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:49.908290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation dce8fe8c-bacb-4f34-bdbf-cb90a9d09d85 · outbound

This paper cites HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T17:24:49.539677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:24:49.539677Z digest=sha256:6a2913c7a146c42519974a88130cbbb2c971fbe5d63c25ac96bb6b000a726043

Observation 1c850387-0d9d-44d4-b145-179b61e787a8 · outbound

This paper cites Mv- dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Mv- dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:49.887583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:24:49.544838Z digest=sha256:3c30a7747399378f675b6e5b768b9c6935e38df6081bfda19e34c4a67cb34326

Observation c852c114-6ca1-4905-a385-3b2bab8faa18 · outbound

This paper cites Said-nerf: Segmentation-aided nerf for depth completion of transparent objects.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Said-nerf: Segmentation-aided nerf for depth completion of transparent objects

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:49.868363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3d8823a1-d216-4657-b168-03575dee72aa · outbound

This paper cites GausSurf: Geometry-Guided 3D Gaussian Splatting for Surface Reconstruction.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update GausSurf: Geometry-Guided 3D Gaussian Splatting for Surface Reconstruction

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T17:24:49.554690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:24:49.554690Z digest=sha256:4d18bc91d950ba73b25c626bee4a2c84826c9dc22bb8f9c5aa021cb73e4efee1

Observation 6e14ead6-419d-4214-9991-b65b5a8e05ee · outbound

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

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Dust3r: Geometric 3d vi- sion made easy

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:49.850411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:24:49.559572Z digest=sha256:426d3a433b788ddf8bdf4c4ae56a66b7d91ac5383a18cc974b37bf68b6a06884

Observation b7507b52-62d4-4766-8c1e-f8f48293de01 · outbound

This paper cites latentsplat: Autoencoding varia- tional gaussians for fast generalizable 3d reconstruction.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update latentsplat: Autoencoding varia- tional gaussians for fast generalizable 3d reconstruction

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:49.830452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:24:49.564260Z digest=sha256:48899f4490fd3e32c6d41494829224c0b3f441b1b8ce7fd0b6fb2455dbf79ef7

Observation a73bb4ae-b8a9-47ae-8ea6-108bb2075f35 · outbound

This paper cites Segmenting transparent objects in the wild.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Segmenting transparent objects in the wild

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:49.805165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:24:49.568860Z digest=sha256:bb5f49ee4d767b53a8c005324f73767f0325554cdf795752003ec6acf676ceb6

Observation ff0f3c9a-6611-4bc4-aed1-50caba543b23 · outbound

This paper cites Sparsegs: Real- time 360° sparse view synthesis using gaussian splatting.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Sparsegs: Real- time 360° sparse view synthesis using gaussian splatting

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:49.783772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:24:49.574481Z digest=sha256:d1005424ee6f0f3ee3e91c1076712d76e67c3641668bcc9366a569ee9e610a1c

Observation c0586afd-da8c-4482-9e3d-d033f355df82 · outbound

This paper cites Gaussianob- ject: High-quality 3d object reconstruction from four views with gaussian splatting.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Gaussianob- ject: High-quality 3d object reconstruction from four views with gaussian splatting

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:49.762736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:24:49.579225Z digest=sha256:fddda94f773b94b40d2e934f79ac563a82cf8ef9a528f1f79617ef376210e772

Observation 4a3cc02d-5889-49ec-9ef1-b80d71976776 · outbound

This paper cites Transplat: Generalizable 3d gaussian splatting from sparse multi-view images with transformers.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update Transplat: Generalizable 3d gaussian splatting from sparse multi-view images with transformers

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:49.742305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:24:49.584053Z digest=sha256:a22b64ee3bb84be9797e2d6264b4aeb823638af3fd5196d1162149bb280b9438

Observation 5d00efb2-fd90-4ed0-9415-7560853116fd · outbound

This paper cites glass” or “transparent.

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update glass” or “transparent

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:24:49.721688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:24:49.590033Z digest=sha256:feaaf35a32b9ff80e0880d4b9c0e14af545437b8996e48e7ff874d015283ccb3

Pith citing papers

No inbound Pith citation observations are available.