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Paper Citation Record · LEDGER

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality

As of 6 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2606.01777.

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

pith.paper-citation-record.v1
2606.01777 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:36:18.043919Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

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Outbound references

Observation 9a53dc3c-cbf3-45bb-8fd9-ed6f1f13e0f4 · outbound

This paper cites Preprint at https://arxiv.org/abs/2505.22634 (2025).

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Preprint at https://arxiv.org/abs/2505.22634 (2025)

Reference 1

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arxiv_id, observed 2026-07-01T23:06:21.468676Z

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Observation f136ac27-b477-4638-8bfa-32c04c2c0688 · outbound

This paper cites Autonomous chemical experiments: Challenges and perspectives on establishing a self-driving lab,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Autonomous chemical experiments: Challenges and perspectives on establishing a self-driving lab,

Reference 2

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Observation 6ffaea44-2cf6-4a9e-aaf7-91e4dd0e9b23 · outbound

This paper cites AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory

Reference 3

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arxiv_id, observed 2026-07-01T23:06:21.471876Z

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Observation 1c3ed68e-451b-4a7b-b8d2-06eee5dd0159 · outbound

This paper cites Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments

Reference 4

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arxiv_id, observed 2026-07-01T23:06:21.474884Z

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Observation da77d4c1-55ea-43f1-b3a8-2500ffa9b117 · outbound

This paper cites Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects

Reference 5

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arxiv_id, observed 2026-07-01T23:06:21.477818Z

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Observation b80ac822-762a-4bb3-9728-766a049dd292 · outbound

This paper cites Clear grasp: 3d shape estimation of transparent objects for manipulation,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Clear grasp: 3d shape estimation of transparent objects for manipulation,

Reference 6

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Observation 0146305d-c13c-4a85-9f0b-cc5d7658f90d · outbound

This paper cites Clearpose: Large-scale transparent object dataset and benchmark,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Clearpose: Large-scale transparent object dataset and benchmark,

Reference 7

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:7394092b945d7c5e551c78500f6ca1f9b1b3af31134dcd90d501de380b4a26f1

Observation fc109349-1695-4376-bf32-df5c26033f97 · outbound

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

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects

Reference 8

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arxiv_id, observed 2026-07-01T23:06:21.480762Z

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Observation 5b0f785c-f4e1-41a9-8261-c5bc08b1a651 · outbound

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

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Residual-nerf: Learning residual nerfs for transparent object manipulation,

Reference 9

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Observation bfc2f06a-0440-4705-9890-b0ab5914e2d9 · outbound

This paper cites Evo-nerf: Evolving nerf for sequen- tial robot grasping of transparent objects,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Evo-nerf: Evolving nerf for sequen- tial robot grasping of transparent objects,

Reference 10

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:a9eda0daa311a65a5e72cf7f5107d0b1d1b9c97f10c235e0c0d996be8677a337

Observation d10abd9d-473d-402c-b110-2409d763bff5 · outbound

This paper cites Lb-nerf: light bending neural radiance fields for transparent medium,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Lb-nerf: light bending neural radiance fields for transparent medium,

Reference 11

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Observation 34eaed9b-e822-4f36-a811-e37fddf317f3 · outbound

This paper cites NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields

Reference 12

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arxiv_id, observed 2026-07-01T23:06:21.483970Z

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Observation d84643cb-d017-4c33-a883-b1b56865aba4 · outbound

This paper cites Tsgs: Improving gaussian splatting for transparent surface reconstruction via normal and de-lighting priors,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Tsgs: Improving gaussian splatting for transparent surface reconstruction via normal and de-lighting priors,

Reference 13

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Observation 4abf0fd5-0ab8-46d4-972f-e43c012eca64 · outbound

This paper cites Transparentgs: Fast inverse rendering of trans- parent objects with gaussians,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Transparentgs: Fast inverse rendering of trans- parent objects with gaussians,

Reference 14

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:3a320fb83b96607dfd65a9a66037c1693732eb0997ee39255857f88f814f3f26

Observation 26ca6d7d-bc11-44a6-b346-e4de77bc245b · outbound

This paper cites TranSplat: Surface Embedding-guided 3D Gaussian Splatting for Transparent Object Manipulation.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality TranSplat: Surface Embedding-guided 3D Gaussian Splatting for Transparent Object Manipulation

Reference 15

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arxiv_id, observed 2026-07-01T23:06:21.458926Z

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:72e1efdc593b9b0e5b80e4575269ea40f793e02bb0e2d4d1246dfc5576b2479b

Observation 5ca64b1f-3ec7-414e-971d-b4654105cc2a · outbound

This paper cites Clear-splatting: Learning residual gaussian splats for transparent object manipulation,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Clear-splatting: Learning residual gaussian splats for transparent object manipulation,

Reference 16

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Observation 8a491536-71a0-4b30-87c1-03ad01dc65d5 · outbound

This paper cites Transcg: A large-scale real- world dataset for transparent object depth completion and a grasping baseline,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Transcg: A large-scale real- world dataset for transparent object depth completion and a grasping baseline,

Reference 18

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Observation 4d3a4c0c-df1d-42d7-9362-859bd6d7b7ea · outbound

This paper cites Monocular Depth Estimation and Segmentation for Transparent Object with Iterative Semantic and Geometric Fusion.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Monocular Depth Estimation and Segmentation for Transparent Object with Iterative Semantic and Geometric Fusion

Reference 19

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:c9527d8f07eaceb0d4e2eaccd4bf0673217d5bdf3fcf3daf0fdbf31270edcf1b

Observation e234233f-b4d1-4f9c-b2dc-3b191c776285 · outbound

This paper cites Learning depth estimation for transparent and mirror surfaces,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Learning depth estimation for transparent and mirror surfaces,

Reference 20

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Observation 09c5bf41-98f7-42a5-b345-52eb9b1531cd · outbound

This paper cites TODE-Trans: Transparent Object Depth Estimation with Transformer.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality TODE-Trans: Transparent Object Depth Estimation with Transformer

Reference 21

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arxiv_id, observed 2026-07-01T23:06:21.465101Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1d5dd9a4-4bd5-4567-a353-5576870b35ce · outbound

This paper cites Dfnet-trans: An end- to-end multibranching network for depth estimation for transparent objects,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Dfnet-trans: An end- to-end multibranching network for depth estimation for transparent objects,

Reference 22

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:2f0c0985a5767f8432587b4e33ce89829f012db2f3147c52efe57e93aa3e3e4a

Observation c8ddbd92-02b6-48f5-80c8-f28f9982cc13 · outbound

This paper cites Robotic perception of transparent objects: A review,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Robotic perception of transparent objects: A review,

Reference 23

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Observation d820022c-90a1-4f15-bb4e-dd4fc5295979 · outbound

This paper cites Seg- menting transparent objects in the wild,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Seg- menting transparent objects in the wild,

Reference 24

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:3f61ebfe01b25714ed425dba00b7bc0b8b734570228cf521deccfa6f41af409d

Observation f112403d-3a5c-4fdf-86b0-b33911061cb3 · outbound

This paper cites Polarimetric inverse rendering for transparent shapes reconstruction,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Polarimetric inverse rendering for transparent shapes reconstruction,

Reference 25

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:3b1c18aae098e0f020c23c8647e20b38aefa4171bc3d0ffed87f5212a276ead9

Observation be8e101f-0383-42d7-9fdb-ec9fa3714e0d · outbound

This paper cites Deep polarization cues for transparent object segmenta- tion,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Deep polarization cues for transparent object segmenta- tion,

Reference 26

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:407d11b2cded05266c233b8aecd07a9decd49eaef5b8bbc88f8e5b469a9bd5b9

Observation ec39a45f-ae72-46e0-bc9a-b3a9fead85d9 · outbound

This paper cites Glass segmentation using intensity and spectral polarization cues,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Glass segmentation using intensity and spectral polarization cues,

Reference 27

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Observation c6193427-c88c-4ac0-b195-b9d8954c7342 · outbound

This paper cites TransDiff: Diffusion-Based Method for Manipulating Transparent Objects Using a Single RGB-D Image.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality TransDiff: Diffusion-Based Method for Manipulating Transparent Objects Using a Single RGB-D Image

Reference 28

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arxiv_id, observed 2026-07-01T23:06:21.490990Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f177dade-10ab-4efe-9ca3-64b5560de422 · outbound

This paper cites Close the sim2real gap via physically-based structured light synthetic data simulation,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Close the sim2real gap via physically-based structured light synthetic data simulation,

Reference 29

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Observation 9051fa47-e9bb-438d-b259-6eacab80b012 · outbound

This paper cites Tgf-net: Sim2real transparent object 6d pose estimation based on geometric fusion,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Tgf-net: Sim2real transparent object 6d pose estimation based on geometric fusion,

Reference 30

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:8149bdbdc17fa2e3c48f139cdbcf4d5ba6aa6e9d28f693400e6a5cdadc1e271e

Observation 5b75b619-ddf6-49c6-a829-0fdbb9b4e5a2 · outbound

This paper cites MVTrans: Multi-View Perception of Transparent Objects.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality MVTrans: Multi-View Perception of Transparent Objects

Reference 31

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Observation a3cd6a9b-de7a-4303-94ef-cb0bf6d182fa · outbound

This paper cites Through the looking glass: Neural 3d reconstruction of transparent shapes,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Through the looking glass: Neural 3d reconstruction of transparent shapes,

Reference 32

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Observation 9017cde1-f8fe-4752-8921-e15065d0d1e6 · outbound

This paper cites Cleardepth: enhanced stereo perception of transparent objects for robotic manipulation,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Cleardepth: enhanced stereo perception of transparent objects for robotic manipulation,

Reference 33

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:00a4c9d3f7738fb73f5eea7adb96fa7a7efd4c8684a302ae4fc22f79309e7435

Observation 61387730-e48e-4620-96f8-31c59f1b7f78 · outbound

This paper cites Fdct: Fast depth completion for transparent objects,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Fdct: Fast depth completion for transparent objects,

Reference 34

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Observation cdb7ca7e-a0e8-4c32-958f-027f6e94f337 · outbound

This paper cites Rgb-d local implicit function for depth completion of transparent objects,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Rgb-d local implicit function for depth completion of transparent objects,

Reference 35

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:488f208b1bb9c6f9c8ffed535ec96831cb349366fe908c694ddb89af6f83e16e

Observation 72e074c4-e808-45b3-af97-eabea340bc22 · outbound

This paper cites Glass segmentation with rgb-thermal image pairs,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Glass segmentation with rgb-thermal image pairs,

Reference 36

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:24af4c6b4e1c7dd43e2c5ca8cfca0a7de5f26387c35cb20b078e996e90a950c8

Observation 022112e9-9a87-4f9c-b253-bcfdcf39015f · outbound

This paper cites Domain randomization-enhanced depth simulation and restoration for perceiving and grasping specular and transparent objects,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Domain randomization-enhanced depth simulation and restoration for perceiving and grasping specular and transparent objects,

Reference 37

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:818d08c0b575acbf3eea9530a6035dba3a8b68599c838dd5727feb72f652282b

Observation fc80fc09-5d85-4656-bb7f-a57ed6aa34ec · outbound

This paper cites Asgrasp: Generalizable transparent object reconstruction and grasping from rgb- d active stereo camera,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Asgrasp: Generalizable transparent object reconstruction and grasping from rgb- d active stereo camera,

Reference 38

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:a46513cb7f022ee663b39f98365f970b229de9c1f729e507a907e569dc9bc284

Observation 112a2853-dbbf-47b3-b4ba-b5af270ca896 · outbound

This paper cites Tom-net: Learning transparent object matting from a single image,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Tom-net: Learning transparent object matting from a single image,

Reference 39

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:9d56afcfd803a509044c167c6c13317088776fba58df2daecc249dd4c5b3a549

Observation 7fc3f0bc-d038-4d38-8a53-9292e5532b14 · outbound

This paper cites Monoscene: Monocular 3d semantic scene completion,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Monoscene: Monocular 3d semantic scene completion,

Reference 40

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no resolver link, observed 2026-06-28T14:36:18.043919Z

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:d725c84355b27cac47c2ad6ca50ab4b8d32d62cd4f4f007d9f4f48f356b63b0f

Observation 3ffb32b6-8eb6-45ab-86fc-8004d4aef5e8 · outbound

This paper cites Monocular occupancy prediction for scalable indoor scenes,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Monocular occupancy prediction for scalable indoor scenes,

Reference 41

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:c338c7da3b99b29387fe98fc5c782d985da8d99f8efb1fcdbc6ba1ab9e98e594

Observation 354bad0f-72b3-4819-a8e0-f51a34ffcd8d · outbound

This paper cites Depth anything v2,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Depth anything v2,

Reference 42

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:def389781f1a2841c80798f4cbe385c92fd0d7323bc8b70f3f78de841ee2dd14

Observation 6e9cc33b-49fd-4b7c-8e2a-0905a883ca20 · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Repurposing diffusion-based image generators for monocular depth estimation,

Reference 43

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:4990f3e6e3365f80eed29b714dfaa458c367ab1138707349cb442faeef32c9a4

Observation f89a9af3-a1ac-40d0-bde4-a5e1becee664 · outbound

This paper cites Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,.

Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,

Reference 44

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source=pdf_text observed=2026-06-28T14:36:18.043919Z digest=sha256:0705d7f3058208be14a7fca844f7f947cc2679804f30c596b960df3defe31df5

Pith citing papers

No inbound Pith citation observations are available.