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Paper Citation Record · LEDGER

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2506.23565.

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

pith.paper-citation-record.v1
2506.23565 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:42:22.405887Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy48
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef9ac778-a123-4faa-98f9-4e12a376c109 · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving nuscenes: A multi- modal dataset for autonomous driving

Reference 1

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raw_fallback, observed 2026-08-06T21:42:31.309757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:16.372229Z digest=sha256:1e502d17f3c52192df6e79a2ab1c4957373c6f2d52dcc00b277e4cb38d9d2da5

Observation e45435f8-be1c-489c-aa0c-2e394b919008 · outbound

This paper cites Objectfusion: Multi-modal 3d object detection with object-centric fusion.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Objectfusion: Multi-modal 3d object detection with object-centric fusion

Reference 2

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raw_fallback, observed 2026-08-06T21:42:31.103980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:16.567732Z digest=sha256:e5a0c4fe64e935cc0f5aced0bd65661376a052d3ea1e228a814bc12449386460

Observation 3b91fb9a-7d1d-4814-ba3b-5ba9ddd73b4e · outbound

This paper cites GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:16.798729Z digest=sha256:8de53f83b10f213f0a3dd9e7ac6f4dbec32577bfccce306a59e14e0084a110be

Observation a75f72dd-6b73-4f17-886f-76cdd35559f4 · outbound

This paper cites Recurrentbev: a long-term temporal fusion framework for multi-view 3d detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Recurrentbev: a long-term temporal fusion framework for multi-view 3d detection

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T21:42:30.883620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:16.978004Z digest=sha256:a37aedc9948c72d93b9373612a2743100b8443c435121e581b0ac9ebfff1cf6e

Observation 4ba0039d-456a-49c7-945e-c6ac53eec03e · outbound

This paper cites Learning high- resolution vector representation from multi-camera images for 3d object detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Learning high- resolution vector representation from multi-camera images for 3d object detection

Reference 5

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raw_fallback, observed 2026-08-06T21:42:30.617398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:17.175799Z digest=sha256:f7f7ea32cc06c666a2a241d0f85da10c92fb3e9a370703995120b72d69265074

Observation 43e4343c-e52e-4cce-80c4-3d5c56ae5edf · outbound

This paper cites Bev-san: Accurate bev 3d object detection via slice attention networks.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bev-san: Accurate bev 3d object detection via slice attention networks

Reference 6

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raw_fallback, observed 2026-08-06T21:42:30.361724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:17.266703Z digest=sha256:3b3cc45d150960def406b75995a4adb81f11d6d940dc3bb08ad381d341e70d8e

Observation 8ebcd6af-def0-4094-825b-043c055b181d · outbound

This paper cites Depth-regularized optimization for 3d gaussian splatting in few-shot images.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Depth-regularized optimization for 3d gaussian splatting in few-shot images

Reference 7

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raw_fallback, observed 2026-08-06T21:42:30.176319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:17.339236Z digest=sha256:4c757ff67fa90c00183a32586629fd0b44f09b38441c63eddab8ff55a58c0bef

Observation d1cc05be-263f-4efa-a2e8-081ca7ddc4da · outbound

This paper cites MMDetection3D: Open- MMLab next-generation platform for general 3D object detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving MMDetection3D: Open- MMLab next-generation platform for general 3D object detection

Reference 8

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raw_fallback, observed 2026-08-06T21:42:29.967910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:17.482746Z digest=sha256:14c0c82693f3e80b0971fcdfa82dd121310ed2a0dfa61145b1c7ab2de8af2f64

Observation 215c8d3a-eeae-44dd-85ea-464a3296e298 · outbound

This paper cites Exploring recurrent long-term temporal fusion for multi-view 3d perception.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Exploring recurrent long-term temporal fusion for multi-view 3d perception

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:17.617022Z digest=sha256:a7c28625e4554691c7d921e2741ebf3782bd2449be948c28fd92e998dc0e8b45

Observation 8194c629-16ed-4c4e-95b1-38487f63c181 · outbound

This paper cites Deep residual learning for image recognition.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Deep residual learning for image recognition

Reference 10

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no resolver link, observed 2026-08-06T21:42:17.713837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:17.713837Z digest=sha256:70c09f96c48eb69847f1cbb52c42cccd0c513f81cbadadf0bd870bbdbb8e9473

Observation e23f9bad-b09e-4275-a2bc-b6fcd58569f4 · outbound

This paper cites Open: Object-wise position embedding for multi-view 3d object de- tection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Open: Object-wise position embedding for multi-view 3d object de- tection

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:29.447637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:17.769188Z digest=sha256:6a654796cdd3197cf6a9a35b3968ba8f1952445f68db06c5cb45af50cb642b46

Observation ebcf1f09-43aa-4a9b-a37e-a50f4285e233 · outbound

This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 12

Resolution
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no resolver link, observed 2026-08-06T21:42:17.901920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:17.901920Z digest=sha256:322165854791508bd7c98771e4e7a8211c20d1fc084c9d7fcecfff63131a9eed

Observation 0d800903-feea-4e21-b852-7d25691d9135 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:18.100409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:18.100409Z digest=sha256:da9f413ab2d8866130056912f69f023ad4212bfc8aecf45a715028493d4a13ba

Observation b12039ea-271a-4596-9268-b6542e9b11e7 · outbound

This paper cites GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:18.214716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:18.214716Z digest=sha256:4b5cbb31de284a8f2664b3e804d641da4ba0015932da7fffbefad9cf6caf5b7b

Observation 69697de3-9055-4582-a38c-67d4cdcfc8df · outbound

This paper cites Enhanc- ing 3d object detection with 2d detection-guided query an- chors.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Enhanc- ing 3d object detection with 2d detection-guided query an- chors

Reference 15

Resolution
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raw_fallback, observed 2026-08-06T21:42:29.271625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:18.342393Z digest=sha256:01568d64434d9ac1d4a300b482f79f4928ba2f05fb94c5602a9cb66e214b4d5a

Observation 990e896e-5211-4388-9742-4f26e47d9d87 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving 3d gaussian splatting for real-time radiance field rendering

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:18.427077Z digest=sha256:8629f15bf68f10ac725d68aac79ea0ca537e010a0449d4cc207d50b120a3df06

Observation d88f0328-1d0a-4c51-b9dd-9bddce29f294 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Adam: A Method for Stochastic Optimization

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:18.541541Z digest=sha256:832ba116eb3b168178508e03bec97ab52ef4d354a7afd536607edf45f8bfacd7

Observation 1f38a273-10b9-46c6-b6b3-46595500f2f3 · outbound

This paper cites Seabird: Segmentation in bird’s view with dice loss improves monocular 3d detection of large objects.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Seabird: Segmentation in bird’s view with dice loss improves monocular 3d detection of large objects

Reference 18

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raw_fallback, observed 2026-08-06T21:42:28.867518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:18.633396Z digest=sha256:f52f13d5f37c94e561ed3dbeb046e7c8b1552db4d5a3c9727c2c630e4d25ead7

Observation cc3274cf-eb62-420c-8a32-18d72688fb08 · outbound

This paper cites Delving into the devils of bird’s- eye-view perception: A review, evaluation and recipe.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Delving into the devils of bird’s- eye-view perception: A review, evaluation and recipe

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:18.786127Z digest=sha256:df9fc51c9d3d1478f3c943d46263e073c2a3e6ba329cd4efb384cbe9cf331793

Observation e0cc1af4-1211-4541-b338-cca76d9dafb2 · outbound

This paper cites Dualbev: Cnn is all you need in view transformation.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Dualbev: Cnn is all you need in view transformation

Reference 20

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raw_fallback, observed 2026-08-06T21:42:28.570458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:18.874779Z digest=sha256:1dbbe6aa1de8069970622807a7c21bfa5079886b5850e3900496fe7587e99964

Observation 2f34df03-84c1-4696-b850-b299b686b942 · outbound

This paper cites Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:18.941160Z digest=sha256:90c78096f1f2991a913d827f5bb4b70e6ee0a8f5a4b7da8be2d12254d905c6d3

Observation 4be97e45-cab0-483f-9eb1-a088f2d28a9a · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion

Reference 22

Resolution
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raw_fallback, observed 2026-08-06T21:42:28.316893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.040693Z digest=sha256:31a43fbe9f82607f878aaf7a9b934ce9365e1f3c3ec07e8e66961cff151d5cc3

Observation 8ae8f313-c87e-4c46-bd26-c9ed95f477ea · outbound

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

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 23

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raw_fallback, observed 2026-08-06T21:42:28.166678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.128173Z digest=sha256:a3cbb2caf76833dfdecfa2b884effe714119607bda74d95f5cc021ac4260194c

Observation eb845926-9ee9-4a1b-8bf2-e64d1c9c690a · outbound

This paper cites Fb-bev: Bev representa- tion from forward-backward view transformations.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Fb-bev: Bev representa- tion from forward-backward view transformations

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T21:42:28.017841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.201178Z digest=sha256:1048422d9b123696d3c2a0518089bb873d089304b888210bab76f07472473bdb

Observation ad267ae8-ecab-4d96-b211-ce684645bd1f · outbound

This paper cites Bevnext: Reviving dense bev frameworks for 3d object de- tection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bevnext: Reviving dense bev frameworks for 3d object de- tection

Reference 25

Resolution
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raw_fallback, observed 2026-08-06T21:42:27.848665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.283424Z digest=sha256:5db9919d5002694d6e0928084e02402cd95c4a8532180068812a82ef1c3653aa

Observation 87a47adb-4c9f-4574-b04c-ba3b159b1abc · outbound

This paper cites Feature pyramid networks for object detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Feature pyramid networks for object detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:27.580513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.356515Z digest=sha256:79dbbe4e6074c4ab3e11188eb4f428920cfcc0c72ab50b123963566939812d81

Observation aafc012a-6c9c-42ac-b814-6b89b1e1edb5 · outbound

This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:19.453913Z digest=sha256:5ef90df8702589ae808b58089c246176c5c368180e02e29559b3730476b3a6b5

Observation 92e39488-9dc0-4028-bf06-4bc7ad95cdeb · outbound

This paper cites Ray denoising: Depth-aware hard negative sampling for multi- view 3d object detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Ray denoising: Depth-aware hard negative sampling for multi- view 3d object detection

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:27.396411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.511685Z digest=sha256:de58b4b713649b96972085767804e713925f9a6dcd4850a6de0183189beec72c

Observation 4ad182da-0881-4e97-be7a-0cb0e1357658 · outbound

This paper cites Sparsebev: High-performance sparse 3d object detec- tion from multi-camera videos.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Sparsebev: High-performance sparse 3d object detec- tion from multi-camera videos

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:27.250642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.598840Z digest=sha256:2ca45066b3a5c87adbd0f9c2661dc117a6ebb5965d7773b39906e91e59cb3e4d

Observation cce754cb-d2c5-42f9-afb3-f7b6ba211046 · outbound

This paper cites Fast generalizable gaussian splatting reconstruction from multi-view stereo.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Fast generalizable gaussian splatting reconstruction from multi-view stereo

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:27.034052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.671080Z digest=sha256:6ef3de764d0f9dbd1c0f83781b600b736fabab2b4f85bfb99a4da074183436e7

Observation 6c112ef4-e058-4455-b046-398975b287c4 · outbound

This paper cites Multi-view atten- tive contextualization for multi-view 3d object detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Multi-view atten- tive contextualization for multi-view 3d object detection

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:26.803453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.754325Z digest=sha256:97488648039c06bc8faed428734301fadec1761659469d7ffc26b18d3c44b2fa

Observation ef4497fc-b8de-4709-b7fb-d57420abfd84 · outbound

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

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Swin transformer: Hierarchical vision transformer using shifted windows

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:26.704276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.827224Z digest=sha256:8bf9f84b213a86e8c5facd3e3f1275f52bffd5068d807064d2fda4861917d285

Observation 5d7753c3-0fda-4ac0-88ec-87c07fc54514 · outbound

This paper cites A convnet for the 2020s.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving A convnet for the 2020s

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:26.666382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.880959Z digest=sha256:46de0dd5a65438475b3060d8a9b6d1f7ea3c33dbc1813675b11e7f07348ac948

Observation 1c5ca0aa-aa4f-4e12-be02-2f62b0a26c58 · outbound

This paper cites Nerf in the wild: Neural radiance fields for uncon- strained photo collections.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Nerf in the wild: Neural radiance fields for uncon- strained photo collections

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:26.654014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.939692Z digest=sha256:d55a2a43fb1aad87d8c32c84d7c301f193333d9ea0c4b2eb2aa07870cae4eb56

Observation 18a7258e-dade-4a5d-a4f7-abd8ce8987cd · outbound

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

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:26.587479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:19.997932Z digest=sha256:d2e39281633240517a4d0e998279686318d70ebf18d2252e322c8521f9b23016

Observation 2f48f45e-af4f-457c-8790-71a68ccdb6ed · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:20.078414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:20.078414Z digest=sha256:b5b67688b40a6335d170a0a9aa98ac736d48ab4b95688be14a9478573de590a6

Observation eaca58a1-5ada-4062-92b5-611ac70e1ff7 · outbound

This paper cites UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:20.140230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:20.140230Z digest=sha256:3fc606b4585ff7a3a101283668bdef5eed9f61b0843b6ad6dea7140312a95b1d

Observation 9d983a85-d0bb-4242-b1e6-296bfb0c9c4a · outbound

This paper cites Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:26.439023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:20.217001Z digest=sha256:018c212ec4f5f4a934899d710bcc00ed56b57c14382f29b0d5f75692c0ad5f78

Observation 47b9d91a-ea68-486b-90d2-39aa408eb99b · outbound

This paper cites Is pseudo-lidar needed for monocular 3d object detection? In ICCV, 2021.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Is pseudo-lidar needed for monocular 3d object detection? In ICCV, 2021

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:26.300031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:20.308456Z digest=sha256:af2c05e9015eea08a29658c6aa75ee8d3266b596d4de406ec091623a0175fe4e

Observation 77fbd84e-351f-4c70-abe7-a6f30b58a605 · outbound

This paper cites Time will tell: New outlooks and a baseline for temporal multi- view 3d object detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Time will tell: New outlooks and a baseline for temporal multi- view 3d object detection

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:26.176952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:20.385123Z digest=sha256:b8d544983a92d116d476173ad81ed6702d2bbece6ba564732938825c2081c4d3

Observation ab4eb4f0-37f7-4d5f-89d1-4f030a8def9c · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Pytorch: An imperative style, high-performance deep learning library

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:26.004337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:20.470613Z digest=sha256:aedeff26a85c8776627cf5cc2959ae4b74b783cb74d05f0eb2e6ce6b49ff8325

Observation e2541974-f87b-45ad-923c-e77377176135 · outbound

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

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:25.775350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:20.556468Z digest=sha256:5f098d9094cfad4cb81a31322a2c5532c14ee22b56d394f88bb54d60aba1a9db

Observation 3e017acb-22c9-42c2-b395-c44a44dc5b71 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Scalability in perception for autonomous driving: Waymo open dataset

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:20.639178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:20.639178Z digest=sha256:8ece91b168d1625fbbf60a1d4e99dc06349f79cde37f34690152aefabd083b5c

Observation 854403ae-d318-402a-be18-07627bc982ff · outbound

This paper cites Block-nerf: Scalable large scene neural view synthesis.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Block-nerf: Scalable large scene neural view synthesis

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:25.537753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:20.715973Z digest=sha256:629492dd36300c55281133710747623738ccf0f35b824457a720d7ccbd67ab67

Observation 6ecd3e66-cb0d-444f-9b32-ddf72ce7d68f · outbound

This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:25.396093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:20.775505Z digest=sha256:94163e0730d7968e08e7727b24874a12663e9a943beab105e90e1054fda1700d

Observation 3b1716fb-8d49-45b8-9edc-075a0929849a · outbound

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

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Fcos3d: Fully convolutional one-stage monocular 3d object detection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:25.194387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:20.823194Z digest=sha256:181141067bb6cb2b36f6296f75b16b1ed129e3e9006846440581aa7226ad0453

Observation 1b2b099c-96f2-40d4-acd1-9366f80545f0 · outbound

This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Detr3d: 3d object detection from multi-view images via 3d-to-2d queries

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:24.984670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:20.876241Z digest=sha256:12409386e097786b07f5307816df144cb05bc8eaf51471f3a28bf0d7318e6245

Observation 94d3ffec-37fd-4c04-9915-d6c60e2b23c1 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Image quality assessment: from error visibility to structural similarity

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:24.753095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:20.965522Z digest=sha256:7ec9713a5d6420a5a9fc27b12d8570fd54392b096fb5fd791b2fe53c2d4cb62a

Observation 38b547f9-b2f7-48b8-beda-80a3bd1d392b · outbound

This paper cites Mapnerf: Incorporating map priors into neural ra- diance fields for driving view simulation.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Mapnerf: Incorporating map priors into neural ra- diance fields for driving view simulation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:24.522137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:21.054659Z digest=sha256:c9128a5a53f56a93df8989805ea8c43bbbe6dc6c85269d5ab91fdd337b8246d2

Observation 887cdd73-3091-4b7c-852e-3991c7c137c7 · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving 4d gaussian splatting for real-time dynamic scene rendering

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:24.284857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:21.167570Z digest=sha256:dcd8f54953a291402243e1e2df32138f3477ec596e37c200efe7f2a0f51435d8

Observation 178ced7c-548b-4dbe-9a5d-409df20394f5 · outbound

This paper cites Heightformer: Explicit height modeling without extra data for camera-only 3d object detection in bird’s eye view.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Heightformer: Explicit height modeling without extra data for camera-only 3d object detection in bird’s eye view

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:24.071555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:21.280981Z digest=sha256:5e6b75c5076b5146215ac90e9cf73d0e1b508888e9c38f1e3b0a8e26f77b6098

Observation a122763c-2296-42b1-8bc7-92505e73904c · outbound

This paper cites Nerf-det: Learning geometry-aware volu- metric representation for multi-view 3d object detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Nerf-det: Learning geometry-aware volu- metric representation for multi-view 3d object detection

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:23.896569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:21.446469Z digest=sha256:30fd671d4953f00071bfabc01a4fad09629fa6c0acc3608692881853a21022ce

Observation 116808bf-207f-4e0f-838c-e647a12de567 · outbound

This paper cites Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:21.554547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:21.554547Z digest=sha256:44aa1d8849f94cda31822a2fa3fef0ecec423183cd9f99ffd5c2dd607bb5fa3b

Observation bde29fb5-0481-407e-8a00-a23c53c3c832 · outbound

This paper cites Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective su- pervision.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective su- pervision

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:23.710776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:21.683748Z digest=sha256:06cd925cd5553ab2144867f4dbff49bcc95d22b9804bf787dbb0d376d24ef515

Observation 30bf9e3d-8d28-4861-9c46-968b7f2b6fe8 · outbound

This paper cites EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:21.836791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:21.836791Z digest=sha256:32db8e1203a59f78cb1b1c22959671df3c7d4b78d0f3760301271437c7fabc8f

Observation 65ad402b-749d-424b-a991-3ace4dcd838c · outbound

This paper cites Center- based 3d object detection and tracking.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Center- based 3d object detection and tracking

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:23.445588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:21.909667Z digest=sha256:b740ea03828de45a31049eaf8a2c35f3b40343d8f4fa10a4494e28f115a5913d

Observation 198ef89a-bfa2-47f4-aab2-7b57c3b3411a · outbound

This paper cites Sa-bev: Generating semantic-aware bird’s-eye-view feature for multi-view 3d object detection.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Sa-bev: Generating semantic-aware bird’s-eye-view feature for multi-view 3d object detection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:23.275182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:22.013238Z digest=sha256:5d579fd1be869bb3353aab8a8179c8852a7ef76e546f365166a1f6b08c52f692

Observation bc914b31-3ad4-419a-8b2d-b75767ce2dab · outbound

This paper cites Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:23.138277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:22.147616Z digest=sha256:570d41e4e155dc4c826ba4c74721d0a5f2e083eb8b181cafaba296a6df33c032

Observation 2b166a0d-1810-462f-8675-b14df96535b5 · outbound

This paper cites Hybridocc: Nerf enhanced transformer-based multi-camera 3d occupancy prediction.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Hybridocc: Nerf enhanced transformer-based multi-camera 3d occupancy prediction

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:22.942128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:22.251348Z digest=sha256:dc29fefbafc65ad18f8473b6283f061d93dbe89194389b8eca84ff454f5a9006

Observation 928a4a7c-dfdf-45d4-8c8b-674350aa9e64 · outbound

This paper cites Hugs: Holistic urban 3d scene understanding via gaus- sian splatting.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Hugs: Holistic urban 3d scene understanding via gaus- sian splatting

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:22.797813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:22.333914Z digest=sha256:85d7c80e623dfcf6466dfefc7a84a4c9df48387008f09fa03b72260cf7d904f6

Observation f000226f-deb9-449a-a421-f8fb128f6c50 · outbound

This paper cites Drivinggaussian: 14 Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Drivinggaussian: 14 Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:22.639242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:42:22.405887Z digest=sha256:9423a2d382db2ceebc28989552bbd8d03f18cb4be22c8e57c24f52cd794c2d0a

Pith citing papers

No inbound Pith citation observations are available.