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Paper Citation Record · LEDGER

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

As of 7 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 3 inbound Pith citation observations for arXiv:2506.04623.

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

pith.paper-citation-record.v1
2506.04623 v1

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:44:39.773683Z

measured 92 of 92 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:24:23.190818Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:27.972020Z

Reference resolution

89 of 89 outbound references displayed

  • verified exact8
  • verified fuzzy48
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7de0928d-67e1-4a9c-b88d-a6cb4452b422 · outbound

This paper cites Social lstm: Human trajectory prediction in crowded spaces.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Social lstm: Human trajectory prediction in crowded spaces

Reference 1

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no resolver link, observed 2026-08-07T10:44:32.706523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:32.706523Z digest=sha256:e3ce293b213c2631c0bb862cb636b9411b5d69254454f776a05e2821087f3875

Observation e87d0bf1-58bb-4969-85cd-3ecaf94929f1 · outbound

This paper cites Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion

Reference 2

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verified exact
local_arxiv, observed 2026-08-07T10:44:40.298728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:32.787018Z digest=sha256:0c997f1d8ca286bab820b60872749bc3db418c1b901d3c9616fc4e8e09210d6a

Observation 4def9f36-0e5f-4ffa-9322-127bfd59e1aa · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Semantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 3

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no resolver link, observed 2026-08-07T10:44:32.870789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:32.870789Z digest=sha256:c64ce93de4445e702d7d1cb2c253af725fdc1b006817c551481fda1bc4baa447

Observation faad4b38-5e86-41c6-b1b5-db103f137cbd · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Semantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 4

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no resolver link, observed 2026-08-07T10:44:32.955158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:32.955158Z digest=sha256:dc917644dc17e79e6a3467d136a637be7d36b8d88f1733d3b316625cde874528

Observation a9dafacf-b749-4b0c-947d-01bbcd77b259 · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Adabins: Depth estimation using adaptive bins

Reference 5

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no resolver link, observed 2026-08-07T10:44:33.060150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:33.060150Z digest=sha256:a965585dedbd7ceafd8e25e5284d46eb3bc3bed30c1f2d88367447f9d41b2df8

Observation 852b602a-9865-41a8-9363-0ac1058dc0e7 · outbound

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

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Monoscene: Monocular 3d semantic scene completion

Reference 6

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no resolver link, observed 2026-08-07T10:44:33.228624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:33.228624Z digest=sha256:76cc196cdcfb63f88b5926d575eadfe47b72c15d1941ec0935998530a51d4717

Observation 45198415-89a7-4c05-a4ab-cb273612058a · outbound

This paper cites Pasco: Urban 3d panoptic scene completion with uncertainty awareness.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Pasco: Urban 3d panoptic scene completion with uncertainty awareness

Reference 7

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unresolved
no resolver link, observed 2026-08-07T10:44:33.365579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:33.365579Z digest=sha256:f293ecdaa96c93adbcd7db811fe993e9e9980453dcbcf8133367c223399ff5b4

Observation 14c6a6d3-b5f1-4e73-b90c-5ad9b7f06d75 · outbound

This paper cites End-to-end object detection with transformers.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection End-to-end object detection with transformers

Reference 8

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no resolver link, observed 2026-08-07T10:44:33.451770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:33.451770Z digest=sha256:a00094ab664c941007464951521c8c9e39c6586fe1247faa97aca733700cf943

Observation be394b1c-2e96-4315-84a1-f9be8de87b95 · outbound

This paper cites GaussRender: Learning 3D Occupancy with Gaussian Rendering.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection GaussRender: Learning 3D Occupancy with Gaussian Rendering

Reference 9

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unresolved
no resolver link, observed 2026-08-07T10:44:33.539610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:33.539610Z digest=sha256:dfbfc2bdf4888d963a4fc6ef0930613a730254e4121b49537a0e0c6bab0ef40c

Observation 96458391-773d-454d-a533-3e2d4f8bf491 · outbound

This paper cites Domain adaptive faster r-cnn for object detection in the wild.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Domain adaptive faster r-cnn for object detection in the wild

Reference 10

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no resolver link, observed 2026-08-07T10:44:33.652764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:33.652764Z digest=sha256:c13045cac51377b6aff40c0304427beae1f16e6c17bf224f28e30dcd3b5d26e4

Observation 7d8f69fe-8394-4b18-888f-caa3d5cfec08 · outbound

This paper cites Disen- tangle your dense object detector.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Disen- tangle your dense object detector

Reference 11

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unresolved
no resolver link, observed 2026-08-07T10:44:33.764904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:33.764904Z digest=sha256:a6000cce6bcfbd7c412f1ac0a8edc647cc74d065ed2e85aba0b951725e99eb15

Observation 1ec2afea-4b64-4ba7-8030-86844f755cf8 · outbound

This paper cites 3d u-net: learning dense volumetric segmentation from sparse annotation.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection 3d u-net: learning dense volumetric segmentation from sparse annotation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.766781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:33.862806Z digest=sha256:30f618ce340ebba951230956bf1a7215d5fcfc57ca41e871f0a9cb0e2a5bc9d8

Observation e640fb16-fff3-4ebb-a661-3d81d05a0ea9 · outbound

This paper cites Deformable convolutional networks.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Deformable convolutional networks

Reference 13

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no resolver link, observed 2026-08-07T10:44:33.951600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:33.951600Z digest=sha256:927f060166144a53a245842796cfe09261043f5739e0702744eda71b3720dbb7

Observation 0f5d43b0-20ae-4b48-891a-418ce3f7619a · outbound

This paper cites Worldscore: A unified evaluation benchmark for world generation.arXiv preprint arXiv:2504.00983, 2025.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Worldscore: A unified evaluation benchmark for world generation.arXiv preprint arXiv:2504.00983, 2025

Reference 14

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unresolved
no resolver link, observed 2026-08-07T10:44:34.040500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:34.040500Z digest=sha256:b94584a0b94dd6b850c2b6fe4053925cd2f0cf66d7bc2066d90c020a87efe32b

Observation 9121a374-af41-4d2c-a15e-b7048b053227 · outbound

This paper cites MIT press, 1993.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection MIT press, 1993

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.753269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:34.132069Z digest=sha256:026d6f5b832348492d085ef118ffff1c9890cc8617623e1b28ef07a616a4c6b2

Observation c1a075e8-1536-48b1-88ef-146e07941711 · outbound

This paper cites Two stream 3d semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Two stream 3d semantic scene completion

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.744798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:34.219006Z digest=sha256:a4861748fd1f4f29ecd8570241220a0a28714a741387a91f5444560fefa3f330

Observation 7e9ebb3d-fc93-4916-a73e-941292dcafd3 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 17

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no resolver link, observed 2026-08-07T10:44:34.298345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:34.298345Z digest=sha256:865dc620e6a93a1e8f80d15dd435dc7bc7038af2fdf2aaa16f68aa1ec25ebc7b

Observation 1ad22272-4770-42ae-af07-369a120a4efe · outbound

This paper cites Fast r-cnn.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Fast r-cnn

Reference 18

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unresolved
no resolver link, observed 2026-08-07T10:44:34.393084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:34.393084Z digest=sha256:7209c2ea8924c415a1fd996ee472bb4537994769525e64c07bfad6ff98a07243

Observation bcb51231-69e7-40f6-865d-776f4ffe4c61 · outbound

This paper cites Sgformer: Satellite-ground fusion for 3d semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Sgformer: Satellite-ground fusion for 3d semantic scene completion

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.725218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:34.492587Z digest=sha256:7dffcfdc473007f2153e21e11b669d05578f590776ae1a423f14a68f23253df6

Observation 2c1fa58b-fb81-47a3-a56a-acadcb8a6237 · outbound

This paper cites Masked autoencoders are scalable vision learners.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Masked autoencoders are scalable vision learners

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.716474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:34.569667Z digest=sha256:7ecfdc331eec4567168792ff32a34f88913ba0455902a2354cf62432cdd88bc6

Observation 37c60be4-db14-47e5-9ba0-9c6f1bff364d · outbound

This paper cites Deep residual learning for image recognition.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Deep residual learning for image recognition

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.707505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:34.654448Z digest=sha256:19580246857c2b649a656a9ffdf8645e80502e8872539c4843e975e45f4ebbcf

Observation a822c3ee-55eb-4a46-ba5b-3c622c782e61 · outbound

This paper cites Tri-perspective view for vision-based 3d semantic occupancy prediction.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Tri-perspective view for vision-based 3d semantic occupancy prediction

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.698722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:34.766004Z digest=sha256:b5f258b35f86757d6062e2bb230fd18959a4ab41d9eb394a8712ef32a146e08a

Observation 6df1b956-179c-4f47-bdee-4f0c73a70d3a · outbound

This paper cites Symphonize 3d semantic scene completion with contextual instance queries.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Symphonize 3d semantic scene completion with contextual instance queries.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Reference 23

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raw_fallback, observed 2026-08-07T10:44:40.689089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:34.842585Z digest=sha256:eacdb7514074f399d68172c3e17c3a36fe5c3a56be0a4ed9328aaff371723252

Observation 9655e51a-82ab-4a6d-969b-49bf2209418c · outbound

This paper cites Cornernet: Detecting objects as paired keypoints.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Cornernet: Detecting objects as paired keypoints

Reference 24

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no resolver link, observed 2026-08-07T10:44:34.953253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:34.953253Z digest=sha256:e1b758854e4c71bf6e3d63f8c1b331a45424598216d00a8afeedab0b7eefa6d9

Observation d74ac408-00a6-4468-a8d9-acf7abd5b406 · outbound

This paper cites Hierarchical temporal context learning for camera-based semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Hierarchical temporal context learning for camera-based semantic scene completion

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.675959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:35.041907Z digest=sha256:f9abd2c9ac5dc2989787f81d8dcee573dc29b73b75681ac5476d2ee4b6a2d595

Observation 611b32f4-2d5c-48fa-a93f-055cef8bd1cb · outbound

This paper cites Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:35.121047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:35.121047Z digest=sha256:3db44bbda382507e0a1fa2fe42957308c54a1cf5e0ff19e8f0d010e15d394d73

Observation 8c1e29f8-ffa6-4930-ac55-936674326af9 · outbound

This paper cites Instantsplamp: Fast and generalizable stenography framework for generative gaussian splatting.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Instantsplamp: Fast and generalizable stenography framework for generative gaussian splatting

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.666928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:35.196278Z digest=sha256:3edc7e0cc4efb9114309277273b7a35c91b55a1f6dfa5627accae5004472fa82

Observation 46fb80b0-f3ca-4830-80a2-aec72e843995 · outbound

This paper cites U-kan makes strong backbone for medical image segmentation and generation.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection U-kan makes strong backbone for medical image segmentation and generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:35.283251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:35.283251Z digest=sha256:c3a64c22346326ad60401e3e9813a59b658bf60b09d3c0b8b44438baf77fe0a0

Observation 51dec6ca-4f57-46bf-817d-776f85cc3f74 · outbound

This paper cites OccMamba: Semantic Occupancy Prediction with State Space Models.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection OccMamba: Semantic Occupancy Prediction with State Space Models

Reference 29

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unresolved
no resolver link, observed 2026-08-07T10:44:35.362608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:35.362608Z digest=sha256:75978ff088dbd3d6ada5c5ba13cde0c05430c5d7aa417027348f98920a5b7d36

Observation 112ba65a-ca27-432b-90e8-f3edcf565a1c · outbound

This paper cites Htd: Heterogeneous task decoupling for two-stage object detection.IEEE Transactions on Image Processing, 30:9456–9469, 2021.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Htd: Heterogeneous task decoupling for two-stage object detection.IEEE Transactions on Image Processing, 30:9456–9469, 2021

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.654254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:35.473821Z digest=sha256:c6cd7d8b2e1e3e67c20eb12ad38676b7038321d6751dbe13270aae4dbe17b5b9

Observation 5d3f6767-04fa-4d36-8457-8a0e746968df · outbound

This paper cites Scan: Cross domain object detection with semantic conditioned adaptation.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Scan: Cross domain object detection with semantic conditioned adaptation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.646510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:35.559057Z digest=sha256:78d1ad3123e979577787186b0a63b31c025a6a7dfd2bd1cff377e890c417c676

Observation 3aade382-6f84-4065-9781-1d189f443762 · outbound

This paper cites Sigma: Semantic-complete graph matching for domain adaptive object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Sigma: Semantic-complete graph matching for domain adaptive object detection

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.638835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:35.658794Z digest=sha256:18204ffe63ef38474afa94861906a6c7bd98f5eddb205e9b88e6452d0631f201

Observation 6706dda3-2fc0-444e-b1b4-1422c5b2b7d6 · outbound

This paper cites Unifying voxel- based representation with transformer for 3d object detection.Advances in Neural Information Processing Systems, 35:18442–18455, 2022.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Unifying voxel- based representation with transformer for 3d object detection.Advances in Neural Information Processing Systems, 35:18442–18455, 2022

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.630723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:35.732888Z digest=sha256:67c6f10df27d654131e5acdf6151ea3c2c3de06b408e29148703f9579c2a099b

Observation 08434535-a2dd-4909-a154-ce4477481271 · outbound

This paper cites Sscbench: A large-scale 3d semantic scene completion benchmark for autonomous driving, 2024.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Sscbench: A large-scale 3d semantic scene completion benchmark for autonomous driving, 2024

Reference 34

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raw_fallback, observed 2026-08-07T10:44:40.621756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:35.844717Z digest=sha256:2130d2685fd6fa45edb16ad9405438e7adf7fe4cadf544b7eb856d248e6e1f74

Observation 84e89480-03ae-4e65-81f9-18e664c89438 · outbound

This paper cites Choy, Chaowei Xiao, José M.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Choy, Chaowei Xiao, José M

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.613197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:35.937734Z digest=sha256:551eee818b32f8d3f499a95ad1719d9d94db31d54024a69527cbce1d43bb762c

Observation b090fac3-d936-4e84-9df2-06f50138bc7d · outbound

This paper cites Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:44:40.200213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:36.049098Z digest=sha256:12a853b270e07eb36012b3923a0cb8afe00fa843e427dc67a6522c7a571c2e27

Observation 5f79c07f-652e-46bf-8c5c-85dbf45a4c16 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 3292–3310, 2022.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 3292–3310, 2022

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.605438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:36.124112Z digest=sha256:dde6e22eaf33cdef8d1cbdf1ebca033b141e6e5b9d7152ab08b0e129e79754a1

Observation 4bf206eb-5c83-4db1-87e4-20660ab71fa9 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310, 2022.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310, 2022

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.597135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:36.231677Z digest=sha256:96f2e5a68d3033d26087501ff03b4cfd7a49a57ef9c0cf1b249af346920849c9

Observation 5f802b2e-e492-42bc-bbe0-00fb61a18765 · outbound

This paper cites Feature pyramid networks for object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Feature pyramid networks for object detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.586981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:36.309263Z digest=sha256:ddb3dd75acff524f1bed76d37538ee3445c23cd93fc2fb6ddf70dc3a23c6dfdc

Observation 8475264d-cfe3-4dc3-a681-3e61b603b970 · outbound

This paper cites Focal loss for dense object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Focal loss for dense object detection

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.577660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:36.397447Z digest=sha256:3ffbaa37148ed6f1abf8b2ae0b4b4deb682031a0f27597275762b27f91d0401f

Observation 673ebd08-149d-4e70-b6b4-73bc789f4c49 · outbound

This paper cites Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.569389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:36.513903Z digest=sha256:47c850da3c9a8efca67d61ecccf7ce888fa9b15749766e3df51045bc70cde030

Observation a45d367c-d8bc-4149-be3a-e27d0dcc8cb7 · outbound

This paper cites X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:44:40.189783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:36.604382Z digest=sha256:79f809b6c0a50f6cfae633dccc0ba02fa20f9c4b8d9e2b8731926adcf3f734b7

Observation dc732074-fa27-474c-a6fd-ef8412295c50 · outbound

This paper cites Decoupled Weight Decay Regularization.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Decoupled Weight Decay Regularization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:36.675644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:36.675644Z digest=sha256:3c2edb3236168406b1066ccd3a318368ceaf461ba282f5ee9882ce569824ccc9

Observation 9b229385-39a7-42e5-a43a-91c778e18b94 · outbound

This paper cites DETRs Beat YOLOs on Real-time Object Detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection DETRs Beat YOLOs on Real-time Object Detection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:36.755868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:36.755868Z digest=sha256:6f6631d2e1d35690907f65b0eeb582c0ab0246181f8c14daded411da34bb2dc4

Observation 7444cf5c-d0a2-47e3-bc0c-2a3f94831786 · outbound

This paper cites Camera-based 3D Semantic Scene Completion with Sparse Guidance Network.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Camera-based 3D Semantic Scene Completion with Sparse Guidance Network

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:44:40.166112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:36.859304Z digest=sha256:5c3eae15b6ff5bfd80d9109d8129dab94a48555c72f5544266ff00579895b6f0

Observation 156f4522-059d-4f54-a091-35545709aa58 · outbound

This paper cites Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object Detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object Detection

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:44:40.155165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:36.924654Z digest=sha256:30d59c734eeb8a37b9c47802c0d9b87fd47df8bc74b21c3a71007f61390360ed

Observation 6a6d2e64-2550-43eb-a907-5275fe594b38 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.560629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:36.973260Z digest=sha256:e3f08ffa6ba36b4b6d2cb35feea77ec0ea72c37b224bd10b5f2d1951f6373c35

Observation dc077b2a-8d62-4287-b92f-bd05650ce6b2 · outbound

This paper cites Borderdet: Border feature for dense object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Borderdet: Border feature for dense object detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.552039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.043094Z digest=sha256:9644248bd86a535807fe28886e77e80aed80d5ae722670d0cd2d68ca46a53f4d

Observation 28dab664-304a-40ff-bd14-eb1e24eed0e4 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:37.084954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:37.084954Z digest=sha256:9f181b00cf0b2943115310e2fc71e2e6f4f3ce81fce04fa3e1acec1212740d0d

Observation 93dfe922-c72e-4735-ab70-461760a5f547 · outbound

This paper cites Semantic scene completion using local deep implicit functions on lidar data.IEEE transactions on pattern analysis and machine intelligence, 44(10):7205–7218, 2021.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Semantic scene completion using local deep implicit functions on lidar data.IEEE transactions on pattern analysis and machine intelligence, 44(10):7205–7218, 2021

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.539330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.147785Z digest=sha256:d5936fe6ccac7454e797f25185675d5da99cb8c4c3ac2f0c0e097a905882b6e0

Observation 2cf08de4-3025-4d63-a9ab-511ca43a84a9 · outbound

This paper cites Lmscnet: Lightweight multiscale 3d semantic completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Lmscnet: Lightweight multiscale 3d semantic completion

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.530112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.224276Z digest=sha256:149d80cde53686a63cf160685ce68338b66889836f732c649d685360bae487d4

Observation bad88318-d37b-4366-bea3-8891a2a1854f · outbound

This paper cites 3d semantic scene completion: A survey.International Journal of Computer Vision, 130(8):1978–2005, 2022.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection 3d semantic scene completion: A survey.International Journal of Computer Vision, 130(8):1978–2005, 2022

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.522508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.406058Z digest=sha256:684a5635280f3cf0757c71d23e6b4303f449d81ee69b7add9bd5548ae47fcbd8

Observation fcf6f17b-78d2-4929-b417-028059891be5 · outbound

This paper cites Mobilestereonet: Towards lightweight deep networks for stereo matching.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Mobilestereonet: Towards lightweight deep networks for stereo matching

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.514194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.452780Z digest=sha256:fc9afc68400d4a885c6f05b8c7b16811bc676d02f2c30d0630e1b70866f9f5c2

Observation 9519cd19-d517-4819-992a-5cbaaa485ff3 · outbound

This paper cites Revisiting the sibling head in object detector.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Revisiting the sibling head in object detector

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.505087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.523432Z digest=sha256:304bda5ac655ab2a6773c523974cc273b85b7c71291afaa0811ca8b71603a1ed

Observation 8407d5b7-31bc-4915-857d-faa7a349269b · outbound

This paper cites Chang, Manolis Savva, and Thomas A.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Chang, Manolis Savva, and Thomas A

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.496884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.559519Z digest=sha256:edcc354d2f99a21a22136630746568abb8d068d4f68b385153eda3873843c6cc

Observation 48052458-3c10-46a2-9878-c89c2bb6e4e9 · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Fcos: Fully convolutional one-stage object detection

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:37.626205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:37.626205Z digest=sha256:acff0ec077c237cc3dca5401869682ee3d5af49102ab9ba7ecfa1394ab3e05e5

Observation 4eddb841-f96e-4fca-932a-a26ab6457ca9 · outbound

This paper cites V oxel proposal network via multi-frame knowledge distillation for semantic scene completion.Advances in Neural Information Processing Systems, 37:101096–101115, 2024.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection V oxel proposal network via multi-frame knowledge distillation for semantic scene completion.Advances in Neural Information Processing Systems, 37:101096–101115, 2024

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.483409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.678995Z digest=sha256:30b1f112883b392d4a738fb8c6270d100c1dce418318eee30cd6c0e638a7c4f8

Observation eedaf682-0cca-4c37-804a-92ab14f81a05 · outbound

This paper cites Vlscene: Vision- language guidance distillation for camera-based 3d semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Vlscene: Vision- language guidance distillation for camera-based 3d semantic scene completion

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.474374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.718591Z digest=sha256:5775dea7affa97a3393911c4cfc4d4f6f68870e42b0d2bf7e56c5186f719841f

Observation bcad2f04-85c7-4bec-96a9-9059cc99bfef · outbound

This paper cites Nas-fcos: Fast neural architecture search for object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Nas-fcos: Fast neural architecture search for object detection

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.465703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.778869Z digest=sha256:39733365fcd32a671523e634514a577385ae5b3d20b8ab431746aef49e58b63a

Observation 513c7aa8-0582-458e-8990-4b546ca68fbb · outbound

This paper cites L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:37.840700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:37.840700Z digest=sha256:13504ab4227b834cd00ba0a5addc692f1dee1cac76aeed560c9fd7c32450497e

Observation b81efc28-d28c-40e2-9e68-174ee00f5f1f · outbound

This paper cites Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:44:40.138189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.917989Z digest=sha256:93def005e1db30c256d95d7b8b8e4514ad0309eb08f2062fa2d05e36c55723a3

Observation 84379e89-4513-4720-bb8b-eac96b11c32c · outbound

This paper cites Fcos3d: Fully convolutional one-stage monocular 3d object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Fcos3d: Fully convolutional one-stage monocular 3d object detection

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.457633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:37.973226Z digest=sha256:9371272678bdaa1b1472bb8e489624f89adbeee35920a2e5faa499bf0827bb9b

Observation cc055b7d-fb0f-4c8a-a515-79e1bd8ce63a · outbound

This paper cites an unresolved cited work.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:44:40.449555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:38.034682Z digest=sha256:78c4bfb205411d817992f1c8417c50676eeedceb753f033c8e7067207318b860

Observation db222514-f47d-496c-a870-b6a8e7353c46 · outbound

This paper cites H2gformer: Horizontal-to-global voxel transformer for 3d semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection H2gformer: Horizontal-to-global voxel transformer for 3d semantic scene completion

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.440532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:38.084175Z digest=sha256:0eb5894c8458b277770d4f923874ea31448f12a0ad0ed4862fad03a23f9afef1

Observation 36046737-46d9-450e-aa7b-31ee156c3503 · outbound

This paper cites Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:38.130572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:38.130572Z digest=sha256:90c2f7183c834c7a9394db7fcdbd287be037f984c80c92ac5d2c7f7b8a3fd8ea

Observation 6ac74c63-ad23-4ec6-a23f-3a49c4912762 · outbound

This paper cites Scpnet: Semantic scene completion on point cloud.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Scpnet: Semantic scene completion on point cloud

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.426788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:38.211523Z digest=sha256:0dfbb99a031897aed2f65cd962fbab323000b0710f486d627e0b04bb7d6424fd

Observation 1a0322c9-2679-46b1-b5d7-3981b9e36031 · outbound

This paper cites Instance-aware monocular 3d semantic scene completion.IEEE Transactions on Intelligent Transportation Systems, 2024.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Instance-aware monocular 3d semantic scene completion.IEEE Transactions on Intelligent Transportation Systems, 2024

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.418991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:38.268540Z digest=sha256:4d9e5332417a8819b8b5a305448c7d5602d380469612ce5fccd35d1efc5da9e5

Observation 86e2847e-9776-40cc-af8c-f3fae97df327 · outbound

This paper cites Revisiting ap loss for dense object detection: Adaptive ranking pair selection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Revisiting ap loss for dense object detection: Adaptive ranking pair selection

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.411449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:38.347973Z digest=sha256:4ee1346801cc4c9b8b9af4a0d247703ae4d47523105bc9dbda3dc78933ddb4bf

Observation df7edbe5-68b3-430c-a6b4-2ba9383f6af5 · outbound

This paper cites Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.403850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:38.452237Z digest=sha256:d98b190abf516f701f5556fa87a888fbed2b0784b49f2c9e397fbfb44535406a

Observation ebc5dfae-3504-4c26-bffc-a370fce97820 · outbound

This paper cites Event-Driven Dynamic Scene Depth Completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Event-Driven Dynamic Scene Depth Completion

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:44:40.125791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:38.592542Z digest=sha256:615a5ed1421e2b3ffc8d85f71fb93fb62f6f9bd62022973e34e8295f64ff9781

Observation 9a9aa3c2-9f15-4043-a69b-aaacc6fd3d11 · outbound

This paper cites Rignet++: Semantic assisted repetitive image guided network for depth completion.International Journal of Computer Vision, pages 1–23, 2025.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Rignet++: Semantic assisted repetitive image guided network for depth completion.International Journal of Computer Vision, pages 1–23, 2025

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.395507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:38.697816Z digest=sha256:4b51538bd36bed6973431b6be0ed04942abdb7408e7d7675a3b2ed5ce24820e9

Observation bff829ab-aaff-440d-a016-a512ce511bd0 · outbound

This paper cites Tri-perspective view decomposition for geometry-aware depth completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Tri-perspective view decomposition for geometry-aware depth completion

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.385927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:38.850447Z digest=sha256:b955d92a97247f8d5d55a874c5a2338bb1b22d9ea48ccd199e5c25dd309e2dfc

Observation 0a5790a4-c555-49cb-9ae5-9786d8ba004f · outbound

This paper cites Rignet: Repetitive image guided network for depth completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Rignet: Repetitive image guided network for depth completion

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.377794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:38.969476Z digest=sha256:cc3d0393308e01391ef0021c30bb4c01988fc355dc90a33a1bbd15a18719bd84

Observation 88ea2d7d-2f66-4b85-851f-828248025b11 · outbound

This paper cites Prediction-guided distillation for dense object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Prediction-guided distillation for dense object detection

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.368796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:39.066137Z digest=sha256:272c557b13ff2539753b1b4409575a009c32e79c3b014441304240621032c2f0

Observation 1507f06b-024f-4f55-b455-6fb85926061e · outbound

This paper cites Semantic segmentation-assisted scene completion for lidar point clouds.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Semantic segmentation-assisted scene completion for lidar point clouds

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.360979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:39.179666Z digest=sha256:5c9c06feffc9db9faff71031b701b255f0ca00d73935ae0bd01769e41adf5ff4

Observation 11a50356-d025-4490-97df-05a23ac5ba91 · outbound

This paper cites ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:44:40.003932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:39.271233Z digest=sha256:63fc94ffd0f3f15975358dc61f3d62a7ec623c72170102bcf940bfc4de412584

Observation 547970cf-203c-4f96-be8b-1483d56d5089 · outbound

This paper cites Daocc: 3d object detection assisted multi-sensor fusion for 3d occupancy prediction.arXiv preprint arXiv:2409.19972, 2024.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Daocc: 3d object detection assisted multi-sensor fusion for 3d occupancy prediction.arXiv preprint arXiv:2409.19972, 2024

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:39.273600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:39.273600Z digest=sha256:23a1b1a4e93f4537ff972705296eecbf874c12bedabe0daee4e3e9b8b5ddf820

Observation 331f99cc-0f19-4fd1-a975-d7979207e480 · outbound

This paper cites DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:39.275821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:39.275821Z digest=sha256:d80517abf17503f1b1dff88d19741e1b47bc39898b8dcbe6966f40c4ca6cf077

Observation 60f488f2-6934-4dc1-bcd8-9046e7af7fce · outbound

This paper cites Language Driven Occupancy Prediction.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Language Driven Occupancy Prediction

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:39.278703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:39.278703Z digest=sha256:971375e2af794ee5677df1a9c2abb0b3308610fee6beca3afe54ba6748ad32aa

Observation 34686225-cb38-458e-9939-e52d739b9788 · outbound

This paper cites Aggregating feature point cloud for depth completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Aggregating feature point cloud for depth completion

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.353683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:39.312771Z digest=sha256:4485ad637ff4801615fb6e92bb38a9394d4d2d569fe7d78cf5202798e61a73e7

Observation 3394b1b8-867b-4ff5-b2d8-534963362e87 · outbound

This paper cites Aggregating feature point cloud for depth completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Aggregating feature point cloud for depth completion

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.345517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:39.444406Z digest=sha256:0bee0860a59b6170a3093fee663b65c1ca7a48ce0492b4c5f754d53c77b92507

Observation 9394c26a-d4e7-406d-a8f6-cb6c4cc3465f · outbound

This paper cites Context and geometry aware voxel transformer for semantic scene completion.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Context and geometry aware voxel transformer for semantic scene completion

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.338110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:39.545103Z digest=sha256:12b3d201ebf6bbb0ec85a7846e0941a16773d944975f0a5225eed77d08b012dc

Observation 42540342-14a4-45b5-92f9-df54e2e7ef60 · outbound

This paper cites Varifocalnet: An iou-aware dense object detector.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Varifocalnet: An iou-aware dense object detector

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:39.625757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:39.625757Z digest=sha256:3668ae2ec7a39fcedb2dbf09ad220e2e00368ea827824dec88dbf7770d9ac61f

Observation 46399ad2-003e-41d7-bbb3-51f45f850cdf · outbound

This paper cites Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:39.632877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:39.632877Z digest=sha256:e1936427a2171598594d069b05f50f9c6e6341c96995b5f6fdb8a8c0fddf67db

Observation b1e1bb9b-6091-49bf-8534-19fd67aa456b · outbound

This paper cites an unresolved cited work.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:44:40.322754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:39.635008Z digest=sha256:e4f4551fce9607729c699f4d9a3a6292aff7a69c6343cd61363b19d29f01d5f0

Observation 3ae913d7-111b-4c7f-8dd7-cf820e894d64 · outbound

This paper cites MonoOcc: Digging into Monocular Semantic Occupancy Prediction.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection MonoOcc: Digging into Monocular Semantic Occupancy Prediction

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:39.637215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:39.637215Z digest=sha256:b1e207e4a2cd217b7bce5cec19c6633b8a6eb8270de09455b67180eef7e59dd9

Observation f1834cae-fcf5-4628-b656-78cb0230227c · outbound

This paper cites Localization distillation for dense object detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Localization distillation for dense object detection

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.315076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:39.639748Z digest=sha256:aa46ed65418ee0dc93f3157f9118e43d0d4ec0d289bd80ed5a2c05040c50144b

Observation cc4a6aab-cc74-49c6-9f3e-6ceefcaf6071 · outbound

This paper cites Bottom-up object detection by grouping extreme and center points.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Bottom-up object detection by grouping extreme and center points

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:44:40.307096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:44:39.693468Z digest=sha256:4f59cf4b204ad5c890ac4c86874a56adbc162a3d75a1e05b578bd323c3fa8ba7

Observation 144236fd-f924-4a7b-9450-3b9f513a04be · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:39.773683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:39.773683Z digest=sha256:906a43afea5cc07eed271553a889e6a53e1a7b078f58eeebb24bdf654c1b4101

Pith citing papers

Observation b5aa5931-fd8a-4b3a-b488-054f74686891 · inbound

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy cites this paper.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:23.190818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:23.190818Z digest=sha256:cab0148d643bccab645f8fb854384ef66227d455a0491a777e1b5426c7ae0c92

Observation 2784a536-a90b-420e-84b5-6bb658801eb9 · inbound

Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models cites this paper.

Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-19T15:22:37.450789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T15:18:45.615875Z digest=sha256:3c55a9f15a6b0fcf57869f6468a8ef3cd417fc4ef8cc73bd11d728914f94b9f0

Observation 940a0e24-81d7-4fc5-92b5-aca9263ea364 · inbound

Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation cites this paper.

Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:33:27.973623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T13:30:35.054988Z digest=sha256:5574b7bbb83215de1a26cc7787212e8283609795e26558e2dc794c824b86dbb0