Pith. sign in

Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:16.372229Z digest=sha256:e68ccd759d61aa347a0f12c01775707a2a3cd083a4ed4584f2682d50b6a3fe2d

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:16.567732Z digest=sha256:e11190067b010070ab3fcd732089ee7cb7f32f629c4bea1d06cb1065f1b71aef

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:16.798729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:16.798729Z digest=sha256:0ff9360d85a2143db54a849fa42d45892fa162e186c4f0f43a926ae42fe0dbf3

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:16.978004Z digest=sha256:1490417b7f3103aedc577c48cfb933c656c1378c557b195e2b157b4594b60208

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:17.175799Z digest=sha256:7c698be1a341fdb7919f4ddb4d8d5bb4be6f29b162b1b954f92b26445997b26b

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:17.266703Z digest=sha256:71877c76e8a7c703712e6eaf5b5ad76940840331dc71249d2f3b8c5a19f242a7

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:17.339236Z digest=sha256:7c6e44db158b98518de7f8b335b4077057bf52dffb8ef6bea185d05492975915

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:17.482746Z digest=sha256:14eb15a326a079a0b03cee94268163117f577100e76e3bfcddf54bbc3bf3a00d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:29.648707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:17.617022Z digest=sha256:d8ec67835d6e807ddb49754d19b5d7cea6162c91d27b837e60326d53b993a35d

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

Resolution
unresolved
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:17.769188Z digest=sha256:244f470cf456eafe52be0ebeabe213be0dcd22d52c9cd357fc8614c0a3f75e6b

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
unresolved
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=sha256:38e9c360c1c0774723b3445da4ec18c1ad94b520c95ab2624d272e51b7a48e4b

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=sha256:6f0841701fe091473a7dd6ca84a675401e87b9c405c4640b95156e4dbdfbe233

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
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:18.342393Z digest=sha256:9a87e38083115ba74f8bb1791e61d073229ed882121d525a5568ccd2f0dbb69e

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
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:28.979560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:18.427077Z digest=sha256:e872e7aa9fa7b0ca3353ffa9e5b8261dac2d25f2e38400a66f42dcc6acf813fc

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:18.541541Z

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:18.633396Z digest=sha256:8375e58680970ee91dcbbe01441fcf5261fd2b2fc41137a139b0f8b3dd73cb08

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:42:28.714550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:18.786127Z digest=sha256:7ea27d0159dc782c1dcc73c45b7c74f6ad2a7ac03449ff259c75999fc10de157

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:18.874779Z digest=sha256:82a7a07c0984ca391c21cefeb820aebcdd38817c7818c7c9142b5069b3795035

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:18.941160Z

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
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.040693Z digest=sha256:abe2ff88b491217e146cd9fbc3598b0a3eee287bfd77f093da5988f52194b4ff

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.128173Z digest=sha256:b52d5f9a4c86f545b9d7fa97edf982ca512d6f4c5e1bb65f4d1333f0417125d1

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.201178Z digest=sha256:a0fcfce64ef94c107e53e37ef1f8401e0d416b80a27eab4bf367ac5c0f4f8aa1

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
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.283424Z digest=sha256:18c44bd7f450495e27d424b75d627e33a3d1366ea557d7a203055c570bb4d93e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.356515Z digest=sha256:89ce95e630c87153a3bf1940d13bd0d137179705bcce836a125764e5e0009020

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:19.453913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:19.453913Z digest=sha256:1da4801f1516e7797a6db8b05a8e65051c9da3234f84d4341ded8384603d2310

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.511685Z digest=sha256:005e00d5f63eabc269ebe26be076880551ffea77c8da478a4f482e2ad2a73b91

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.598840Z digest=sha256:88b036fe99e44b311690918abd4dd411e6a491aefd9e70e3edd837f9569a3784

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.671080Z digest=sha256:461053e3c7b9a98b24b02e08f5b83618dc3d74000159e123018f869af253a73a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.754325Z digest=sha256:e6c372c95bb9f34de4f7cdf323fcafd536a2347e7d448b718007d3a0ed7082a3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.827224Z digest=sha256:512d2a96a283b72181604669d388e9dc75d4034d54f9e6d5e83062bb5db42b90

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.880959Z digest=sha256:819bae0bbfac1dca34b3e669bbba74dbcbd55aec32b5224779fb18a7e1d15da0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.939692Z digest=sha256:f394a2e12b00420e04095e75b38b4e2c36e95583ed1d4c6f733ed94d49232c47

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:19.997932Z digest=sha256:b91f86661c7b510808e35960c7e2d24ea4de0747c2c7943c22793d88bdb046b9

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=sha256:035b5af65b6c286964b058c5e557122a47930dd8adb7d1cc457867ab2e3b49a8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:20.217001Z digest=sha256:77d0b20b807416cf354f7193046b4b16ae2d0c43090322e9e3bec4ab71c75f76

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:20.308456Z digest=sha256:d612597bc2f545cf465ba60b5b60dcd1da531a8dc2f58ea715a30514d451a8ae

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:20.385123Z digest=sha256:61b8e448a9ce6e40e560f5fb801aade2494f426170b1ed8c0e06e04cb67f5b01

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:20.470613Z digest=sha256:e8a5dd86698b45413c147599a3329bd6d923a52367ccff25278cec8486ae07dd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:20.556468Z digest=sha256:34c6f2c3202b56f29595c6b884738a22cb29bb09c0cf2d05cf248f930b5b3b9e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:20.715973Z digest=sha256:ea6809e98189f7b682708297870c8995250d67f5aa8d771b416dea4e59e1ed40

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:20.775505Z digest=sha256:382603240dca82edd094486a825d6eccb1a9916ed4f5f50ead8166de26d2c014

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:20.823194Z digest=sha256:4d2647eee285a9d1191165fa6c4429f41a967f935cb56e39fbb533a48da86ca7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:20.876241Z digest=sha256:35a8dfea637fd0510cc4a340f483c4b1d31235a5e797422c81c00da6a9b9fdff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:20.965522Z digest=sha256:7132fde180156058aa092ca0f0ee25487861bc8012bfcf354387add603fb6200

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:21.054659Z digest=sha256:89e3495073d15e350438608709477e541429c757bc2a4963756e79a94f24afc9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:21.167570Z digest=sha256:3c097ab74940f1fe223923c1c276e9d199b6ac3d68c72ebbc6b893a102ec7c52

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:21.280981Z digest=sha256:ccc1e39ebf9240fd6472ea28283a89cab8886b5780f6de5b8c8bf7ba0a19f4c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:21.446469Z digest=sha256:675f02b79966064532dc2f00d215ee63dce695574f60f560aa512f42c174343d

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=sha256:175475ab6c595da208f4a3cec2c4007dc738deafe58a8e7643bee5328ae06340

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:21.683748Z digest=sha256:5f529e400ca388a0fb01ef8fad45a1bffbd9e169c6fa7b0720bff94dd2eaffe1

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:dba91e19d360edff976bccccb3ef7f478a3502527294b242efd48c36d711e298

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:21.909667Z digest=sha256:7de9597a070461d6d2ee05d4f7e2ad4024da5e5a08e523facee372866565a500

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:22.013238Z digest=sha256:40a976ed85a67a4e356363902ea9c91d500c25d556442a497da56f7cdbbf8f56

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:22.147616Z digest=sha256:aca3a39780ff861ace38ee32cdfc70e43c0770cb9fbc6d63c467f0e7fde910dd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:22.251348Z digest=sha256:86cd56959d39582dc90d98f2547dccfc69700e662bd2c45b37fc9802f43c434b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:22.333914Z digest=sha256:2fd852453e2ad8ad43e53a326a60d923eeaea42f06d40f0143621a1363b923c5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:42:22.405887Z digest=sha256:f14dfcaceff61b6f09546dc5995380983081f9ebd78ff5265fcd318216e03de6

Pith citing papers

No inbound Pith citation observations are available.