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Paper Citation Record · LEDGER

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2601.04860.

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

pith.paper-citation-record.v1
2601.04860 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:58:53.399042Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

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

measured 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

32 of 32 outbound references displayed

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  • unresolved32
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External citation measurements

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Outbound references

Observation 69852e4a-4697-4977-bdf5-55849e9a9794 · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmentation.IEEE transactions on pattern anal- ysis and machine intelligence, 39(12):2481–2495, 2017.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Segnet: A deep convolutional encoder-decoder architecture for image segmentation.IEEE transactions on pattern anal- ysis and machine intelligence, 39(12):2481–2495, 2017

Reference 1

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Observation 0a91b3ca-e74c-427a-8b14-6f6b4e766090 · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 2

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Observation ebd3ae3a-8af6-4f5e-97f4-e8bfc56a2003 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 3

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Observation 760b223c-e6b6-4c06-95e5-d2a5291dbdf3 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Emerg- ing properties in self-supervised vision transformers

Reference 4

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Observation 511f13a9-707f-4a25-ba5e-6381d01cb273 · outbound

This paper cites Seg- ment anything in 3d with nerfs.Advances in Neural Infor- mation Processing Systems, 36:25971–25990, 2023.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Seg- ment anything in 3d with nerfs.Advances in Neural Infor- mation Processing Systems, 36:25971–25990, 2023

Reference 5

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Observation c24da50d-c075-404e-9f3d-fadd01c735df · outbound

This paper cites Tensorf: Tensorial radiance fields.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Tensorf: Tensorial radiance fields

Reference 6

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Observation 10bb894f-fa59-4414-8429-55a87dea4294 · outbound

This paper cites an unresolved cited work.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Unresolved cited work

Reference 7

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Observation b4efe1d9-b1c0-445c-952a-f7e4196faf7e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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Observation c316c1fd-011f-4529-879a-cf35df61e85e · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Plenoxels: Radiance fields without neural networks

Reference 9

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Observation 21f713b4-20d8-4712-8c38-c86a89fd91ac · outbound

This paper cites Fastnerf: High-fidelity neu- ral rendering at 200fps.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Fastnerf: High-fidelity neu- ral rendering at 200fps

Reference 10

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Observation a7441fe4-0181-465f-ad8e-8d829ff15177 · outbound

This paper cites Interactive segmentation of radiance fields.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Interactive segmentation of radiance fields

Reference 11

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Observation 7d843b99-408d-4cb6-a101-5e4e59553f3b · outbound

This paper cites Measurement of areas on a sphere using fibonacci and latitude–longitude lattices.Mathematical geo- sciences, 42(1):49–64, 2010.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Measurement of areas on a sphere using fibonacci and latitude–longitude lattices.Mathematical geo- sciences, 42(1):49–64, 2010

Reference 12

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Observation a0f6db97-057f-4ff7-bb72-29be52d8523b · outbound

This paper cites Mask r-cnn.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Mask r-cnn

Reference 13

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Observation a2edbd70-cbd8-4e9a-a55d-b514490e307a · outbound

This paper cites Lerf: Language embedded radiance fields.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Lerf: Language embedded radiance fields

Reference 14

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Observation 9e514d07-d38c-4e1f-97ae-dd5742d64c83 · outbound

This paper cites Segment any- thing.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Segment any- thing

Reference 15

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Observation 59882d31-68d3-4211-8161-8096b3066672 · outbound

This paper cites Decomposing nerf for editing via feature field distil- lation.Advances in neural information processing systems, 35:23311–23330, 2022.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Decomposing nerf for editing via feature field distil- lation.Advances in neural information processing systems, 35:23311–23330, 2022

Reference 16

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Observation 972c0436-5b25-478e-9d9a-086c25a54b86 · outbound

This paper cites Sanerf-hq: Segment anything for nerf in high quality.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Sanerf-hq: Segment anything for nerf in high quality

Reference 17

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Observation 80a14468-12b1-4a15-9fc5-99209a2116a3 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 18

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Observation 670ea766-06b6-4efd-8386-d42b8faa5662 · outbound

This paper cites Local light field fusion: Practical view syn- thesis with prescriptive sampling guidelines.ACM Transac- tions on Graphics (ToG), 38(4):1–14, 2019.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Local light field fusion: Practical view syn- thesis with prescriptive sampling guidelines.ACM Transac- tions on Graphics (ToG), 38(4):1–14, 2019

Reference 19

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Observation ae8a57fa-8ee6-4070-aab8-fa43eb7c1668 · outbound

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

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 20

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Observation 7d2a394e-f387-4de3-8758-78f2c6aa16a8 · outbound

This paper cites Instant neural graphics primitives with a multires- olution hash encoding.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Instant neural graphics primitives with a multires- olution hash encoding

Reference 21

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Observation 19f490a8-dacb-415e-8b3d-b8ba3df0c6e1 · outbound

This paper cites Langsplat: 3d language gaussian splatting.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Langsplat: 3d language gaussian splatting

Reference 22

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Observation 0dad425c-b8a8-4177-8cd2-aebae429c886 · outbound

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

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Learning transferable visual models from natural language supervi- sion

Reference 23

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Observation 238588b1-8d64-4b65-baa8-24a7666e3d53 · outbound

This paper cites Neural volumetric object selection.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Neural volumetric object selection

Reference 24

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Observation 5a78bd3a-e23a-499a-af9a-0d96bdf94f17 · outbound

This paper cites Segmenter: Transformer for semantic segmenta- tion.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Segmenter: Transformer for semantic segmenta- tion

Reference 25

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Observation 9a3857a2-88de-4817-ab4a-25e3215de581 · outbound

This paper cites Neural feature fusion fields: 3d distillation of self-supervised 2d image representations.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Neural feature fusion fields: 3d distillation of self-supervised 2d image representations

Reference 26

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Observation 0951cd3e-c7cf-444f-962e-a92d23662202 · outbound

This paper cites Nto3d: Neural target object 3d reconstruction with segment anything.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Nto3d: Neural target object 3d reconstruction with segment anything

Reference 27

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Observation 20de403c-7894-4813-a11b-9ba34436e61f · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transform- ers.Advances in neural information processing systems, 34: 12077–12090, 2021.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Segformer: Simple and efficient design for semantic segmentation with transform- ers.Advances in neural information processing systems, 34: 12077–12090, 2021

Reference 28

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Observation e8c2c7bb-f637-4bda-98b2-15cd8d3c2ba1 · outbound

This paper cites Efficientsam: Leveraged masked image pretraining for efficient segment anything.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Efficientsam: Leveraged masked image pretraining for efficient segment anything

Reference 29

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Observation d201a854-448a-4c31-a97b-137f1dd42971 · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 30

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Observation 9cf37b76-77d7-4c4b-a72a-7430b970e267 · outbound

This paper cites In-place scene labelling and understanding with implicit scene representation.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation In-place scene labelling and understanding with implicit scene representation

Reference 31

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Observation 4c8a7fea-1bb0-4640-abf4-aec798455829 · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 32

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Pith citing papers

No inbound Pith citation observations are available.