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Paper Citation Record · LEDGER

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1912.04838.

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

pith.paper-citation-record.v1
1912.04838 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:01:23.965287Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

228
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c9a69eeb-66a2-454c-9013-440a6e7752e3 · inbound

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems cites this paper.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T15:19:34.217184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:19:34.217184Z digest=sha256:57850e6e1c68340d518512e6c8332d663609ef62f8a3f5995685e15dce3d305b

Observation f9a56c77-9fbd-4f22-a1bf-166e867d3639 · inbound

SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark cites this paper.

SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 91

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unresolved
no resolver link, observed 2026-08-12T05:09:47.331149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:09:47.331149Z digest=sha256:3defb36264208f5a485392acf3c3b870cbe7833d0ce4c63769f73208bd368026

Observation 51cc88cf-d42f-407a-8f89-993b4ad27fb6 · inbound

LeAP: Consistent multi-domain 3D labeling using Foundation Models cites this paper.

LeAP: Consistent multi-domain 3D labeling using Foundation Models Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 2

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unresolved
no resolver link, observed 2026-08-09T00:21:15.417130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:21:15.417130Z digest=sha256:779c1e250fb9594b3a030f0272ef41fb260b651e62231072eb00ab32d663ef2c

Observation 3825bbd4-02e5-440c-8778-f4f6dc36447b · inbound

Gaussian Splatting is an Effective Data Generator for 3D Object Detection cites this paper.

Gaussian Splatting is an Effective Data Generator for 3D Object Detection Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 30

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unresolved
no resolver link, observed 2026-08-16T11:01:23.965287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:01:23.965287Z digest=sha256:fd3cb281f8d4bfc0d86966dc5a606df6f54b87b60693d1ca56606bfd2d53e609

Observation 4fbc9bdb-0fed-47e3-abba-e63cfc595678 · inbound

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving cites this paper.

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 36

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verified exact
arxiv_id, observed 2026-05-22T00:20:50.441661Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-22T00:16:35.823270Z digest=sha256:2c81839a001a20e6f207a4d1a6675cfb04e3c7c171bebb10ab3f23cdb3d21264

Observation c6d98edd-b94a-4507-8ac4-f242c274dbec · inbound

GeoCD: A Differential Local Approximation for Geodesic Chamfer Distance cites this paper.

GeoCD: A Differential Local Approximation for Geodesic Chamfer Distance Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 17

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unresolved
no resolver link, observed 2026-08-06T21:45:12.994823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:45:12.994823Z digest=sha256:e7c66c8ce8b83479d6f3af604411716b5f71ec7dde88d5831ec901cd87548e3b

Observation 89fdc2d9-2465-489c-aa35-0db7f0d22418 · inbound

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception cites this paper.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 29

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unresolved
no resolver link, observed 2026-08-06T19:03:11.593133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:03:11.593133Z digest=sha256:70e4a861525b3914c2be9c91973fdc5a1c90f6bc36f87f8c4ceeb4df849111cc

Observation 506413bb-2e4a-4d79-9440-44a309ae3452 · inbound

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction cites this paper.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 6476

Resolution
unresolved
no resolver link, observed 2026-08-06T10:33:10.924766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:33:10.924766Z digest=sha256:27622bc0b185e84022e82ccecf46edd6b517c7524b93f89b816d845ef115a818

Observation 84e46580-c530-483a-850b-dc855965dac1 · inbound

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments cites this paper.

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-08T19:24:04.719924Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-08T19:15:57.936114Z digest=sha256:3d8ebb22c3b5538eb2b350aec6f09e0feda21f486a5d8a02c69faa5b3309e0c0

Observation 0b42bbe9-e48e-4201-9479-416a6f6b2ade · inbound

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments cites this paper.

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:51:21.324564Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-22T09:50:31.499822Z digest=sha256:4fc0c2635f9e0dca0c3e633077a58f787bb2eb8388129370faeba0526425de57

Observation de4d8b4a-364d-4bde-9927-d88f96b60f95 · inbound

Real-Time Evaluation of Autonomous Systems under Adversarial Attacks cites this paper.

Real-Time Evaluation of Autonomous Systems under Adversarial Attacks Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:51:31.634992Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-07T16:46:49.471204Z digest=sha256:53a3b4ef05ab57599ab6676b2aaa6536fb6837da4cc99ad4f7b02ca34b84a887

Observation bebbe026-5988-4da7-8d28-7f057650b064 · inbound

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression cites this paper.

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 55

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unresolved
no resolver link, observed 2026-08-05T00:38:26.575873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:26.575873Z digest=sha256:f27a760ff8acbe9a505df5702a634e0501a25c846eeb3f381e08ec184452ed4d

Observation 1d02e0f7-6c77-4d20-a99f-cfe440732516 · inbound

Asleep at the Wheel: JEPA's Limitations in Evaluating Novel Driving Data cites this paper.

Asleep at the Wheel: JEPA's Limitations in Evaluating Novel Driving Data Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 13

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unresolved
no resolver link, observed 2026-08-06T00:22:12.618636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:22:12.618636Z digest=sha256:78f1fd782f2abd57d63db4ae5e7ed3bd966aac23fd40500c4a521517d34b6524