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Paper Citation Record · LEDGER

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions

As of 21 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2507.19188.

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

pith.paper-citation-record.v1
2507.19188 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:03:32.139207Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

49 of 49 outbound references displayed

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  • verified fuzzy32
  • unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3fd24042-94ef-48ba-9644-8f93b7d9b22c · outbound

This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Se- mantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5316296d-2071-4a79-a62e-df6640ca9116 · outbound

This paper cites Cascade r-cnn: High quality object detection and instance segmentation.IEEE transactions on pattern analysis and machine intelligence, 43(5):1483–1498, 2019.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Cascade r-cnn: High quality object detection and instance segmentation.IEEE transactions on pattern analysis and machine intelligence, 43(5):1483–1498, 2019

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d9371193-a320-44b5-bb61-844344c6ddd3 · outbound

This paper cites Monoscene: Monoc- ular 3d semantic scene completion.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Monoscene: Monoc- ular 3d semantic scene completion

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 55482347-e13d-41bb-907d-cc803fe5ef52 · outbound

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

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions End-to- end object detection with transformers

Reference 4

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Unavailable: canonical work link unavailable.

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Observation dadc0834-7949-4e12-b69a-267821e6dc18 · outbound

This paper cites Epro-pnp: Generalized end-to-end prob- abilistic perspective-n-points for monocular object pose es- timation.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Epro-pnp: Generalized end-to-end prob- abilistic perspective-n-points for monocular object pose es- timation

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 088bfbd8-34b0-4b63-93f5-3b777fe962d5 · outbound

This paper cites S3cnet: A sparse semantic scene completion net- work for lidar point clouds.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions S3cnet: A sparse semantic scene completion net- work for lidar point clouds

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 117c5474-eedd-4263-9d33-884a55133418 · outbound

This paper cites Fast r-cnn.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Fast r-cnn

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:31.558499Z digest=sha256:8f194a0fc5b431aa1d187baf5ce12d7db8a75036bb1a81164a73fe0f207a4f39

Observation 5a354be0-fc69-4b0d-abb0-4454258fb6e7 · outbound

This paper cites Deep residual learning for image recognition.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Deep residual learning for image recognition

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:31.562284Z digest=sha256:de6dd0b78c71a78102c21ebd3eb085d0fecb04d5b3fc815b3c68591e7b0807f5

Observation d4d7881e-8865-4e50-a5a5-f238bc94e31a · outbound

This paper cites Masked autoencoders are scalable vision learners.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Masked autoencoders are scalable vision learners

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:31.566214Z digest=sha256:285bf5a456abbca760dae23c7f820d18ea78758046d40842f41a70f9c9434286

Observation 290a6b74-3196-4ef6-84ac-d388c0de4c73 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Arbitrary style transfer in real-time with adaptive instance normalization

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b9937226-3d54-45d7-9b10-7ff22319d304 · outbound

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

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Tri-perspective view for vision- based 3d semantic occupancy prediction

Reference 11

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raw_fallback, observed 2026-08-15T18:03:33.345524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.572669Z digest=sha256:12311bd560f93117418b3c9d38125193a045ed6ebe2644dd4da106d0c167261a

Observation 6345334e-0094-441a-b6e7-c384ed271140 · outbound

This paper cites Sym- phonize 3d semantic scene completion with contextual in- stance queries.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Sym- phonize 3d semantic scene completion with contextual in- stance queries

Reference 12

Resolution
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raw_fallback, observed 2026-08-15T18:03:33.248737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.575812Z digest=sha256:3a79f99aa0fb2cb0fde1fd46e9b503c0e5fc4da5e6b1fbf9818548c656ccd6a3

Observation 4ce8e6ef-c217-431d-834f-fa4d59d419a9 · outbound

This paper cites SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation

Reference 13

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verified exact
local_arxiv, observed 2026-08-15T18:03:32.268432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.581096Z digest=sha256:83d9c1a6ffeea185755ec9d145bc6c552dd62feabf6338b02ebb1ac2b5067946

Observation 2c06876a-3c24-42ed-b03f-68a917754ad5 · outbound

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

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion

Reference 14

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no resolver link, observed 2026-08-15T18:03:31.584891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:31.584891Z digest=sha256:c3666d4b656fa88f99603b38b2d6cb4aa5b29c2f37745f8aa87eaf73bc7c9f3e

Observation 45421922-21a0-4b3b-bcf1-7cd49da8c14f · outbound

This paper cites Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion

Reference 15

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no resolver link, observed 2026-08-15T18:03:31.588648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:31.588648Z digest=sha256:1e592632d407d5e921ce5e70187e15f3a7a02e6ef99e80a8b653c1ca3bcd5052

Observation 2f844a04-52e8-4fa4-b180-d88ff6d6f7fb · outbound

This paper cites Mask dino: Towards a unified transformer-based framework for object detection and segmentation.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Mask dino: Towards a unified transformer-based framework for object detection and segmentation

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.591991Z digest=sha256:ddbfd4cd6c351471b75198bd6554c55ab63a6287a9a96a87d33491fe2c96d476

Observation 2fbdf735-8c4d-4dda-8204-1f308535e0b2 · outbound

This paper cites Dfa3d: 3d deformable attention for 2d-to-3d feature lifting.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Dfa3d: 3d deformable attention for 2d-to-3d feature lifting

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.595439Z digest=sha256:5fe8ca190848e404fddf2803c29eccde8e72f55428d97f144c8ea72169130885

Observation 63c73258-2446-4fc8-a55f-81708923869c · outbound

This paper cites Depth based semantic scene completion with position importance aware loss.IEEE Robotics and Automation Letters, 5(1):219–226, 2019.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Depth based semantic scene completion with position importance aware loss.IEEE Robotics and Automation Letters, 5(1):219–226, 2019

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a4720678-437f-4337-9e15-321387fec12b · outbound

This paper cites Anisotropic convolutional networks for 3d semantic scene completion.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Anisotropic convolutional networks for 3d semantic scene completion

Reference 19

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raw_fallback, observed 2026-08-15T18:03:33.199784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 498edc93-fea1-4919-b21e-98eb6554131f · outbound

This paper cites V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion

Reference 20

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raw_fallback, observed 2026-08-15T18:03:33.188409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.605409Z digest=sha256:0eda863f802b8079dba8d56f7a679915d56c1c3e5b8ff04f70e19a2fc076cf0f

Observation cc156780-ced0-45eb-87f9-c268855a91c4 · outbound

This paper cites Ss- cbench: A large-scale 3d semantic scene completion bench- mark for autonomous driving.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Ss- cbench: A large-scale 3d semantic scene completion bench- mark for autonomous driving

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.609037Z digest=sha256:54e28c3487a0abbdcaa74e8581cc33212ac4378b2b417959709a140e2ffc8c8c

Observation d8e210f2-cefa-4c73-875b-007bec49bd41 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 22

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raw_fallback, observed 2026-08-15T18:03:33.007002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.612519Z digest=sha256:cc2f507239fc8715acf3ada9bc87835ab4408a4d0c58eec901bafe6b6f24f968

Observation fd158001-c122-4c08-9881-e95e4569d4e5 · outbound

This paper cites Diversity matters: Fully exploiting depth clues for reliable monocular 3d object detection.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Diversity matters: Fully exploiting depth clues for reliable monocular 3d object detection

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.615989Z digest=sha256:0c6843a173633f3671f04295f5bf62c36e2962fe3a8f8ce754594b2359c50a8e

Observation 3a68e6fc-a8cc-4de8-a6a1-7382e9e63375 · outbound

This paper cites FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 24

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no resolver link, observed 2026-08-15T18:03:31.619484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:31.619484Z digest=sha256:5f59f658a2bfe19723d88c3f32b3772f4f05231879f0d71c34e54916b79ce0ce

Observation 8e701c10-cc30-4361-ae56-fc98f44bc44d · 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.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions 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 25

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verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.835632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 23550225-e687-40c3-8b0b-d23a57a57f65 · outbound

This paper cites OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction

Reference 26

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no resolver link, observed 2026-08-15T18:03:31.682905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:31.682905Z digest=sha256:878b6836b5e2efcf9313db6ce5ebdb1aacdf86662943a5d556b30b69010b3fa6

Observation 580cae1b-a202-4945-80a0-a77578edb8c6 · outbound

This paper cites Autoshape: Real-time shape-aware monoc- ular 3d object detection.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Autoshape: Real-time shape-aware monoc- ular 3d object detection

Reference 27

Resolution
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raw_fallback, observed 2026-08-15T18:03:32.823456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.717877Z digest=sha256:0bb32930e63edc9b318d283c129f9a3140db3faea3ad320cc3fadf5d7cc3ab97

Observation b6adeb6f-0797-40dd-b559-2a3bb607ae3f · outbound

This paper cites M3dssd: Monocular 3d single stage object detector.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions M3dssd: Monocular 3d single stage object detector

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.811900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.766956Z digest=sha256:7ba00077acebf679971dc62d2d92a4550cb9ebb3c0c195d673b55f62b608eb70

Observation 449c183c-f8a5-4464-908c-2847680c801d · outbound

This paper cites OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion

Reference 29

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no resolver link, observed 2026-08-15T18:03:31.837079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:31.837079Z digest=sha256:68a98140d055d50ffd28b2d5fa4bbf098d03eb8e5674b43afbfe9cf602406416

Observation 60f16613-2c57-40e7-9f8a-7e6d5c57f39a · outbound

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

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unproject- ing to 3d

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.798999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:31.924494Z digest=sha256:e7465a8d6c22084150a8deeaf174349226edd650a14bdf4e3d45aa5c40869e3e

Observation dfb7c8d6-825f-4668-9aa7-53fa65ee359b · 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.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions 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 31

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no resolver link, observed 2026-08-15T18:03:32.006787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:32.006787Z digest=sha256:579e0e6071024ffb692c84d962f1748d776ac2cdce77b7d4722ca95dcc5e7daa

Observation 17d056ca-fadf-43fa-9951-e46a5cf58744 · outbound

This paper cites Lmscnet: Lightweight multiscale 3d semantic com- pletion.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Lmscnet: Lightweight multiscale 3d semantic com- pletion

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.780144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.037846Z digest=sha256:6e9caf0061172b5af8aa4c8bca65c48f4317cd962acf0ee15f8c620315a58a51

Observation 510687f7-cef2-40fc-b6bb-04392a01995f · outbound

This paper cites Mobilestereonet: Towards lightweight deep net- works for stereo matching.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Mobilestereonet: Towards lightweight deep net- works for stereo matching

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.768509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.074939Z digest=sha256:0820d38009747fa5a5205b1e773a05a102bae4e2e64a2e74ac7a9cf96b35f729

Observation ea7234ba-cf01-4870-baae-9b9d11a5a52d · outbound

This paper cites Semantic scene com- pletion from a single depth image.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Semantic scene com- pletion from a single depth image

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.757040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.078505Z digest=sha256:9572506fe641479ba26a2103ca32ef6f873b99deea796edc3353fe338ff04579

Observation 8b2c6904-c2f7-469c-ac76-958b3f9e6ec7 · outbound

This paper cites Sparse r-cnn: End-to-end ob- ject detection with learnable proposals.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Sparse r-cnn: End-to-end ob- ject detection with learnable proposals

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.744867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.082300Z digest=sha256:7800b02871a4ae4e35dbb3a667e007b44cef92f879011f799af03fc3bf2d4d47

Observation d7d8d1a5-7d95-42a6-9989-ae22ac63cb97 · outbound

This paper cites Not all voxels are equal: Hardness-aware semantic scene completion with self- distillation.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Not all voxels are equal: Hardness-aware semantic scene completion with self- distillation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.623252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.086054Z digest=sha256:11fab1febbbfdedcdd09accd5416c1a5403e8293de5877c199201010aee0dd58

Observation 563bbb0e-996c-49b7-8b33-f22d088d9fac · outbound

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

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions H2gformer: Horizontal-to-global voxel transformer for 3d semantic scene completion

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.529078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.090049Z digest=sha256:57446a7a526cef9f544e292e66dc64376a024026d62791a3a0dd6e94806dfe67

Observation f3c998ad-ef98-4da1-a23b-0fde0348a9a2 · outbound

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

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.515297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.093848Z digest=sha256:c4777fdd75d4f1f8f57eab7be303190fd9093ad69e4e1550025d3ee87e543cc2

Observation c8a8642d-0d71-4cae-90c5-fd3008381272 · outbound

This paper cites Instance-aware monocular 3d semantic scene comple- tion.IEEE Transactions on Intelligent Transportation Sys- tems, 25(7):6543–6554, 2024.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Instance-aware monocular 3d semantic scene comple- tion.IEEE Transactions on Intelligent Transportation Sys- tems, 25(7):6543–6554, 2024

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.504086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.097697Z digest=sha256:579011ca490c2008fd3857576660dbcd28967b552dc61c378f30a6cab7358a27

Observation 057b078f-2783-456c-8c60-9bdeec435e14 · outbound

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

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.492770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.100669Z digest=sha256:77eb4530e5368d3a9269bd4800a8be874084be7f36e128644799060e2b720439

Observation afdc7ac4-0d75-46e5-8a98-0cc42593b004 · outbound

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

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T18:03:32.104420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:32.104420Z digest=sha256:c71b055129819b2a868305bd5d6c3cfe1e65ba2039edc39a1408da5e6aa0e1d6

Observation d5fcc943-dd21-4211-ac76-835e9f71d76c · outbound

This paper cites Ndc-scene: Boost monocular 3d semantic scene completion in normalized de- vice coordinates space.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Ndc-scene: Boost monocular 3d semantic scene completion in normalized de- vice coordinates space

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.481641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.108675Z digest=sha256:4e4ebd1df8d480288805bede20a79fcfb6a3a6c4481ed70af82b18e2149a3120

Observation 24fb81ba-868b-4be3-ba1b-dccd5dfdbd13 · outbound

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

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Context and geometry aware voxel transformer for semantic scene completion

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.468105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.112665Z digest=sha256:9153c1594b1f482ba71a962632a5ad6d44e24a209a501d9d8e7613586b4c4d05

Observation 23348d6e-d61a-4b72-b26a-f708df0d8f7b · outbound

This paper cites Monodetr: Depth- guided transformer for monocular 3d object detection.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Monodetr: Depth- guided transformer for monocular 3d object detection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T18:03:32.116204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:32.116204Z digest=sha256:2cddca52e338f3d91aafeb0b983ab651a21cb845a451977c1afc5b6944571146

Observation d1691aa4-d92f-4389-8beb-0ecf1961a911 · outbound

This paper cites Objects are differ- ent: Flexible monocular 3d object detection.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Objects are differ- ent: Flexible monocular 3d object detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.450534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.122039Z digest=sha256:0b2e8a7a38e03c897a595803776f6eaa21660b3da881eedbaf28830a2184294d

Observation 5806ed3e-b085-406e-9d3d-32b994865e0e · outbound

This paper cites Occformer: Dual-path transformer for vision-based 3d semantic occu- pancy prediction.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Occformer: Dual-path transformer for vision-based 3d semantic occu- pancy prediction

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T18:03:32.125757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:32.125757Z digest=sha256:617f5ec3363270e437f4f7602ebb338b20b2be9eb52e856b663afb0ecbe969d1

Observation 7e336697-b38e-4946-8f45-8230c5668618 · outbound

This paper cites Monoocc: Digging into monocular semantic occu- pancy prediction.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Monoocc: Digging into monocular semantic occu- pancy prediction

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:03:32.431581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:03:32.130056Z digest=sha256:581ab9fd91cbcc4dd71b0a80d459742405254823b2b44a9325fe06e7d382272d

Observation a1efe672-2761-41e2-994d-a98ecde66b7b · outbound

This paper cites Objects as Points.

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Objects as Points

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T18:03:32.133540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:32.133540Z digest=sha256:774b5126fab173098a86f679c7912eabc488b1581544826137c2d892f77c39e0

Observation 65620872-528c-4979-99cc-e5fc9213e059 · outbound

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

VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T18:03:32.139207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:32.139207Z digest=sha256:da5ddbb956ee64f471c7c91316e9f6dfb9eb1179b49a7e7052adddbbfe2e9406

Pith citing papers

No inbound Pith citation observations are available.