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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 18 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 2026-08-18T06:34:40.430872+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

  • verified exact1
  • verified fuzzy32
  • unresolved16
  • parse uncertain0
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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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:03:31.546518Z digest=sha256:0d49f6d35db2445b7a24a6adbaead82c52a902a9e1ef9d9978244ca5cadac408

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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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no resolver link, observed 2026-08-15T18:03:31.558499Z

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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no resolver link, observed 2026-08-15T18:03:31.562284Z

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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no resolver link, observed 2026-08-15T18:03:31.566214Z

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.572669Z digest=sha256:b125eeab49b449b0e894184b01a30e028a3d9b55b30e46f002bebe507c9d9f42

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
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.575812Z digest=sha256:b2f229b8056f5a0ad8b000398d8d315373eed49aea3d49812e12432cd524482c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.581096Z digest=sha256:371ea2993237e1c73bdcf3b7807b5fca249089c87695ae76ffa3dcc550b7e503

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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unresolved
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

Resolution
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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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raw_fallback, observed 2026-08-15T18:03:33.237575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.591991Z digest=sha256:1c60de307cbbdeaabcd8df5684684ab91e8c05592757efd25e640b16b24fea67

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.595439Z digest=sha256:dd92b96225cdd76d0f84d721f8a87dae4f5b10aa71a55ca508089723fb7be93a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.598910Z digest=sha256:c537220e2918f3b05c559f752e917bc97035d79aa6096fcf7381d9c12dc9f3f8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.602127Z digest=sha256:8cff24f23eff4ce187b87971e06c749583a8b41e5c6c4b0afacb0b067ff6f170

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.605409Z digest=sha256:085dbf80878c90e28971724939cd4243fca41fb9c3d67abf7fda820e1c4c9a8a

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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raw_fallback, observed 2026-08-15T18:03:33.174733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.609037Z digest=sha256:d47c5efe2d29a05e44451de4358c43722ab32a43927faaa040fc7d6d7b83d97c

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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verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.612519Z digest=sha256:25df67a0c0d6eedfc1d6a7e0ceef0489ca7e5dd4906505829d6efe7b7eecf2d3

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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raw_fallback, observed 2026-08-15T18:03:32.846568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.615989Z digest=sha256:a53c7419291f537dcca8474388b3a1009e74395a5d576cefc8890f8b2b1e3319

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:a27742192ae1276ef8c6247fc2716803705aaafebd7497875abd099467bd939e

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.623380Z digest=sha256:e973a792011a9e818c55b9e4178cf4546f60d645053742baa03c87a84b370b42

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=sha256:8663fd5b41ce9def348b9d5449db6c673b12d2c34cedbd9f05300b1e052dd585

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
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.717877Z digest=sha256:6f5807eb7c9e325b45b260ab3e3c93516659263b9cd7439b04b60167deb74541

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.766956Z digest=sha256:589ea8dc3edf24f5b86d9c6643c9f6535c59830eb24bcd2a900c7b51453fd390

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=sha256:01cdc049391fd1b3e47fbb3ef00f23f7da53cbdbac41555a78c6646e45d58d9c

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:31.924494Z digest=sha256:306238f110acd35dfcf0ec67a08a4ae88ba674c13d0bfb687dadde3a89e859f2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.037846Z digest=sha256:ee004d4c1a5ec6afdaaca153d1981737114dfc63083fc2f68b3275321ded828e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.074939Z digest=sha256:427f8788dde32fa07a4bd2232d3861cd00987ff6afb7804e075eb86843483ffe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.078505Z digest=sha256:99c2ce2eb342862d8ad31db0f56bba8e88b1cd1d50fcba87b1afc902978b8aac

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.082300Z digest=sha256:59e02a7f5a130e8fa0935f2a68e05cef5c39de003ab2546a1bd36f6ff51c4efe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.086054Z digest=sha256:7dc0274663066a4f8b0c2c8c34bccdd5dd4cfb8cef94499c9b546a8e896134f0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.090049Z digest=sha256:625d204d859c21fa47ec12e63c674c6fd66a0720b063f18c5b08f1b3c4dff243

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.093848Z digest=sha256:f2958d2bee12034c76b256a71319bd48188d7fc1d715f143adf6be6047b0b8b9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.097697Z digest=sha256:10ef762146563201cda20949932fe9e57aa7ce5d2c98440ce14e7a061d4a22da

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.100669Z digest=sha256:a8bdba6231c3b400e04e20f62a84d2f0c490f408ea1fb5fb08ead2a556f09f0f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.108675Z digest=sha256:4fab4e820ea006038010d789e5ec310f08c10d361ac33a75670f53861d21a303

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.112665Z digest=sha256:60e7f44eae6d83e634f1aaa50991d574ad2b279097136bc183bea99a45505d9a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.122039Z digest=sha256:43fb2533aa1b9ad90c141477ea61e01a9b887187531e9f14a347f2a9d745e378

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:03:32.130056Z digest=sha256:a619b75d351439b2e523add1ca17a8eedc55c0526097eaa2f19ac6b89399eb20

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.