Paper Citation Record · LEDGER

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2412.11210.

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

pith.paper-citation-record.v1
2412.11210 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:14:05.016060Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T10:49:28.959330Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.645266Z

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 383dadf1-89b8-418c-a874-4544d5805305 · outbound

This paper cites Unsupervised Scale-Consistent Depth and Ego-Motion Learning from Monocular Video.Advances in Neural Information Processing Systems (NeurIPS) , 32,.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Unsupervised Scale-Consistent Depth and Ego-Motion Learning from Monocular Video.Advances in Neural Information Processing Systems (NeurIPS) , 32,

Reference 1

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Observation 1d5fb942-73b5-4481-b9fa-8ed9de002316 · outbound

This paper cites MonoScene: Monocular 3D Semantic Scene Completion.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction MonoScene: Monocular 3D Semantic Scene Completion

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.475687Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 507c5887-5654-47fe-9aef-b5a702045d12 · outbound

This paper cites Self-Supervised Monocular Depth Esti- mation: Solving the Edge-Fattening Problem.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Self-Supervised Monocular Depth Esti- mation: Solving the Edge-Fattening Problem

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.431056Z

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Observation 828bf54d-0621-4c2f-b07b-619e0429be7c · outbound

This paper cites The Cityscapes Dataset for Semantic Ur- ban Scene Understanding.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction The Cityscapes Dataset for Semantic Ur- ban Scene Understanding

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.377686Z

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Observation 9d88cb73-3b2a-4666-94ea-397c63b2fe66 · outbound

This paper cites ImageNet: A large-scale hierarchical im- age database.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction ImageNet: A large-scale hierarchical im- age database

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.350767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a25db425-2587-4117-97f4-2a19571dc478 · outbound

This paper cites Vision Meets Robotics: the KITTI Dataset.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Vision Meets Robotics: the KITTI Dataset

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.327419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8bdf8e45-1769-40c5-85e5-3f60f88d354c · outbound

This paper cites Digging into Self-Supervised Monoc- ular Depth Estimation.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Digging into Self-Supervised Monoc- ular Depth Estimation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.301242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 623dbdfe-8990-493f-ae4e-d810185188c0 · outbound

This paper cites 3D Packing for Self-Supervised Monocular Depth Estimation.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction 3D Packing for Self-Supervised Monocular Depth Estimation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.278237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 03dfcf2e-c253-42cd-bfc8-f1cbaa0e7302 · outbound

This paper cites Semantically-Guided Representation Learning for Self-Supervised Monocular Depth.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:04.805243Z

Source-reported events for the cited work

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Observation afee6274-9f2a-49e0-9890-e498bbe52152 · outbound

This paper cites Boosting Self-Supervision for Single- View Scene Completion via Knowledge Distillation.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Boosting Self-Supervision for Single- View Scene Completion via Knowledge Distillation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.245627Z

Source-reported events for the cited work

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Observation e64153ca-8f24-48d2-bf0c-942f722efdf7 · outbound

This paper cites Deep Residual Learning for Image Recog- nition.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Deep Residual Learning for Image Recog- nition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.219032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4c187b64-dc8e-462c-be4e-2d90ea5e22c0 · outbound

This paper cites Tri-Perspective View for Vision- Based 3D Semantic Occupancy Prediction.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Tri-Perspective View for Vision- Based 3D Semantic Occupancy Prediction

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.202816Z

Source-reported events for the cited work

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Observation b4288378-f893-4ef7-bb9a-4af97d91370e · outbound

This paper cites SelfOcc: Self-Supervised Vision- Based 3D Occupancy Prediction.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction SelfOcc: Self-Supervised Vision- Based 3D Occupancy Prediction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.175814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 73d5e894-4dd9-425e-aa45-482620d1edfd · outbound

This paper cites Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocu- lar Depth Estimation.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocu- lar Depth Estimation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.135894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 950ec73f-dbf5-479b-b456-50ac1482a5cb · outbound

This paper cites LERF: Language Embedded Radiance Fields.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction LERF: Language Embedded Radiance Fields

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.091540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5dc71dc9-8739-4c5e-804f-f6477c920d5e · outbound

This paper cites Segment Anything.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Segment Anything

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:06.039709Z

Source-reported events for the cited work

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Observation fbae4a32-baca-4080-b738-644b3665ba3d · outbound

This paper cites Depth Anything V2.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Depth Anything V2

Reference 17

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Source-reported events for the cited work

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Observation 3c3a6df3-86a9-4195-8d04-5b46ef947b32 · outbound

This paper cites Know Your Neighbors: Improving Single- View Reconstruction via Spatial Vision-Language Reason- ing.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Know Your Neighbors: Improving Single- View Reconstruction via Spatial Vision-Language Reason- ing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.981019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b2c4d5ab-96e3-40ce-9420-a579e5b3644d · outbound

This paper cites KITTI-360: A Novel Dataset and Bench- marks for Urban Scene Understanding in 2D and 3D.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction KITTI-360: A Novel Dataset and Bench- marks for Urban Scene Understanding in 2D and 3D

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.952131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 149737aa-7f49-4e75-af71-90b8bc0d5bf0 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.923135Z

Source-reported events for the cited work

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Observation 32f5e122-33fd-4b1e-846e-81826614309e · outbound

This paper cites OpenScene: 3D Scene Understanding with Open V ocabularies.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction OpenScene: 3D Scene Understanding with Open V ocabularies

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.866469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ff5c56d5-730a-4b61-92fc-cc430c418957 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:04.889131Z

Source-reported events for the cited work

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Observation 52e71ed8-71a9-4a71-af90-d60f8d446dde · outbound

This paper cites R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.820147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 52acc328-5195-4c7f-bb5d-722de6b7dc2f · outbound

This paper cites SwinDepth: Unsuper- vised Depth Estimation Using Monocular Sequences via Swin Transformer and Densely Cascaded Network.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction SwinDepth: Unsuper- vised Depth Estimation Using Monocular Sequences via Swin Transformer and Densely Cascaded Network

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.785130Z

Source-reported events for the cited work

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Observation 345d6de2-6513-49f9-8f46-7fd03da93e34 · outbound

This paper cites SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.739100Z

Source-reported events for the cited work

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Observation 8ce26d9f-4b8f-4d90-b913-77a032e619ae · outbound

This paper cites Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.715727Z

Source-reported events for the cited work

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Observation 048263ec-d8ac-4416-8ebc-e464a43b1a78 · outbound

This paper cites Occ3D: A large-scale 3d occupancy pre- diction benchmark for autonomous driving.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Occ3D: A large-scale 3d occupancy pre- diction benchmark for autonomous driving

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.690598Z

Source-reported events for the cited work

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Observation c0b6a51c-4045-482a-8f2a-dee95fddf3e3 · outbound

This paper cites InternImage: Exploring Large-Scale Vi- sion Foundation Models with Deformable Convolutions.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction InternImage: Exploring Large-Scale Vi- sion Foundation Models with Deformable Convolutions

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.663348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6069beed-6421-402b-b7d4-362034b350ef · outbound

This paper cites SQLdepth: Generalizable Self- Supervised Fine-Structured Monocular Depth Estimation.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction SQLdepth: Generalizable Self- Supervised Fine-Structured Monocular Depth Estimation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.630170Z

Source-reported events for the cited work

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Observation ce09b5b1-21a3-4634-84f2-4c9a7e2ea98f · outbound

This paper cites The Temporal Opportunist: Self- Supervised Multi-Frame Monocular Depth.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction The Temporal Opportunist: Self- Supervised Multi-Frame Monocular Depth

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.586737Z

Source-reported events for the cited work

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Observation 5da6d643-9469-4db3-b18d-769e4eccc918 · outbound

This paper cites SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.561169Z

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Observation 2974ad1a-bc81-4931-9d9d-2d1b32ce4f0e · outbound

This paper cites Behind the Scenes: Density Fields for Single View Reconstruction.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Behind the Scenes: Density Fields for Single View Reconstruction

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.543067Z

Source-reported events for the cited work

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Observation b339f777-a486-4f05-9a4d-9a6adba28086 · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.498280Z

Source-reported events for the cited work

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Observation 6bab17d8-a746-488d-830d-e63ded73274f · outbound

This paper cites Learning to Recover 3D Scene Shape from a Single Image.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Learning to Recover 3D Scene Shape from a Single Image

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.474054Z

Source-reported events for the cited work

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Observation fac9fe48-b630-4433-95a1-7f73d15b8b8e · outbound

This paper cites GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.450814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3032c79d-b99d-4ae3-b885-27e52f8a3c80 · outbound

This paper cites PixelNeRF: Neural Radiance Fields from One or Few Images.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction PixelNeRF: Neural Radiance Fields from One or Few Images

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.414425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc334caf-654e-4fb7-8939-19c4e735fd66 · outbound

This paper cites OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:04.984044Z

Source-reported events for the cited work

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Observation bcd080bb-726a-4685-bf65-bcb02e96611a · outbound

This paper cites Lite-Mono: a Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Lite-Mono: a Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.386201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e380db5f-84ed-4926-994e-725929123f2a · outbound

This paper cites Vision-based 3D occupancy prediction in autonomous driving: a review and outlook.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction Vision-based 3D occupancy prediction in autonomous driving: a review and outlook

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:04.994318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68f47aec-3bcb-404d-9341-53989d01d523 · outbound

This paper cites MonoOcc: Digging into Monocu- lar Semantic Occupancy Prediction.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction MonoOcc: Digging into Monocu- lar Semantic Occupancy Prediction

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.353980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e781505e-ec56-49c6-960e-2b15a7155ae6 · outbound

This paper cites bridge” and “tunnel.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction bridge” and “tunnel

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:05.271796Z

Source-reported events for the cited work

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Observation d96982f8-4f84-4080-8d39-3a86f2bf47cd · outbound

This paper cites The stereo image pairs with adjacent timestamps are fed into the network for image ren- dering and photometric reconstruction.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction The stereo image pairs with adjacent timestamps are fed into the network for image ren- dering and photometric reconstruction

Reference 42

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T15:14:05.193349Z

Source-reported events for the cited work

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Pith citing papers

Observation 5fa41f78-919d-4190-9299-043c2ded2ed0 · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:22.646606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8a91825-72fe-4f8a-8cd5-55ac035ccb32 · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-15T10:49:28.959330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.