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Paper Citation Record · LEDGER

Scaling Laws of Motion Forecasting and Planning -- Technical Report

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 16 inbound Pith citation observations for arXiv:2506.08228.

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

pith.paper-citation-record.v1
2506.08228 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:23:33.582378Z

measured 47 of 47 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:26:54.409126Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:49:58.051270Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 788e6a00-1172-48ca-801a-36d6abcf91bd · outbound

This paper cites Bouzidi, C.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Bouzidi, C

Reference 1

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source=pdf_text observed=2026-08-07T05:23:30.123233Z digest=sha256:b5c482066d6423ae5f83394e90a6e551b5343a776da38c0f667dd4768166049a

Observation 6ab6d1f0-2544-48e8-9ca6-da6e2ef576c5 · outbound

This paper cites ,θn), that depends on estimated parameters ˆθi, and one also has access to their estimated covariance σi,j =cov( ˆθi, ˆθ j), how does one estimate the errors in f(x;, ˆθ0,.

Scaling Laws of Motion Forecasting and Planning -- Technical Report ,θn), that depends on estimated parameters ˆθi, and one also has access to their estimated covariance σi,j =cov( ˆθi, ˆθ j), how does one estimate the errors in f(x;, ˆθ0,

Reference 2

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Observation 6be3951c-9154-4f5b-a981-bf788e1bd5ae · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

Scaling Laws of Motion Forecasting and Planning -- Technical Report GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 4

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source=pdf_text observed=2026-08-07T05:23:30.399877Z digest=sha256:2e65857d2717ba832ca361e4d147956c28c3e7306eaf74b4376cb5fb84d406fd

Observation 64a0915e-3342-44bb-a8ef-2ca81e275fe0 · outbound

This paper cites The Llama 3 Herd of Models.

Scaling Laws of Motion Forecasting and Planning -- Technical Report The Llama 3 Herd of Models

Reference 8

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source=pdf_text observed=2026-08-07T05:23:30.860665Z digest=sha256:f01989bce09e62a473c4a4dc6f915652b476b6126f64550fca8c06f5bc37ae48

Observation 9548aa52-11cc-4f36-8523-06638708e8ac · outbound

This paper cites Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale

Reference 9

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source=pdf_text observed=2026-08-07T05:23:30.963024Z digest=sha256:f50c1652def70e57daeccfae9f445d2db6c9c145f0dde9938742d741d417be05

Observation 4afd6b7e-1ab1-426f-abff-8dd7fab8a5e6 · outbound

This paper cites Scaling Laws for Transfer.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Scaling Laws for Transfer

Reference 11

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source=pdf_text observed=2026-08-07T05:23:31.145722Z digest=sha256:d6c16925adbf43cc5d4097001f9d5c667a05c8cb7ad231f8b6ddb7b8cab5c4a2

Observation 20af635f-7307-4d1d-a04e-f2087b208456 · outbound

This paper cites Scaling Laws and Interpretability of Learning from Repeated Data.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Scaling Laws and Interpretability of Learning from Repeated Data

Reference 12

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source=pdf_text observed=2026-08-07T05:23:31.263551Z digest=sha256:86fb62d8ec46eb0fef106de47c51635c3a4895ca89a2cb639a9e23b1d329577f

Observation 00bda90d-f336-4b5f-b96b-f1bcf0f2362c · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Scaling Laws of Motion Forecasting and Planning -- Technical Report GAIA-1: A Generative World Model for Autonomous Driving

Reference 14

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source=pdf_text observed=2026-08-07T05:23:31.475581Z digest=sha256:24b13c3a0c7f4850d42b164b0b09f81a734743dcf1a667bbfcbe1ffdba29fadc

Observation 9634cac6-25cd-47a1-b46d-c975fc2fe3bf · outbound

This paper cites AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving.

Scaling Laws of Motion Forecasting and Planning -- Technical Report AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving

Reference 16

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source=pdf_text observed=2026-08-07T05:23:31.676644Z digest=sha256:f6234d147d5a021e5a7ed811a82df3844bdfc730e95e4c9e8c3a770d528efcc6

Observation da717ee8-318b-4365-9359-6339e9683971 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Scaling Laws of Motion Forecasting and Planning -- Technical Report OpenVLA: An Open-Source Vision-Language-Action Model

Reference 17

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source=pdf_text observed=2026-08-07T05:23:31.741585Z digest=sha256:1c3801ba5b3c8923c99220e21d528504592a76715d5cc68d12acac26ad92d38d

Observation 9a9065fc-a66c-41be-9c49-8bea633dd02e · outbound

This paper cites Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 18

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source=pdf_text observed=2026-08-07T05:23:31.891381Z digest=sha256:bfdab177346260b832353c75230ffef7e5bc63fe8ed7a3635d799ea11e5f58b0

Observation fdf1a342-753d-4d90-b209-9dce61f9072f · outbound

This paper cites an unresolved cited work.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-07T05:23:32.110125Z digest=sha256:d4212c3debe2eb4e1db262f07e084c90133a017cd8938ee04e2abee30cf0874d

Observation 9dc44b53-a850-4223-ad64-f27786963f59 · outbound

This paper cites Scaling Data-Constrained Language Models.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Scaling Data-Constrained Language Models

Reference 21

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source=pdf_text observed=2026-08-07T05:23:32.226346Z digest=sha256:7c7fcb7950305c018bae57eb684e62d371ea67368553a5bbceb524c77fb0dc80

Observation ddc67b65-ab28-4ff8-ac1f-115accf8ad68 · outbound

This paper cites Scene Transformer: A unified architecture for predicting multiple agent trajectories.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 22

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source=pdf_text observed=2026-08-07T05:23:32.339301Z digest=sha256:1414e47972450ce988c620df64dc0486c682b3770bb05f7e7b25573a57c3621d

Observation b8fa7652-50ec-408d-a1a1-63f71e0f0d07 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

Scaling Laws of Motion Forecasting and Planning -- Technical Report FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 23

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source=pdf_text observed=2026-08-07T05:23:32.436153Z digest=sha256:2280ea36c0fb5f16bbd7cc46b00ef69c694c7ef374f9f176ca91ad2d0a7744bf

Observation bf79a6f9-cc3f-4fe1-8a8a-fc07991b1854 · outbound

This paper cites MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying.

Scaling Laws of Motion Forecasting and Planning -- Technical Report MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 24

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source=pdf_text observed=2026-08-07T05:23:32.523853Z digest=sha256:e6f7a16c78b889fe0bba33e0be5fa6e2b24e99482c9a494d7956e360fa933868

Observation 2dc14a57-b8c6-41b7-b102-2dcc85bb592b · outbound

This paper cites Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation

Reference 25

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source=pdf_text observed=2026-08-07T05:23:32.681652Z digest=sha256:55d9b240e96a1e6e7ab7a600e2d502ad42e4ae19bf974641ec7c0fef89cec653

Observation 4572b879-d5a4-4980-9e0d-41350217fb08 · outbound

This paper cites UniAudio: An Audio Foundation Model Toward Universal Audio Generation.

Scaling Laws of Motion Forecasting and Planning -- Technical Report UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Reference 26

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source=pdf_text observed=2026-08-07T05:23:32.781421Z digest=sha256:5c9e8e826b729bbdc2ed7e8ae62f86c4d6e72165dc512795c8e90a99b0d9a04a

Observation 3580b320-0280-4c06-bd64-54d1a0308224 · outbound

This paper cites Accessed: 2025-03-12.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Accessed: 2025-03-12

Reference 27

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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=2026-08-07T05:23:32.879777Z digest=sha256:7444e6df1e705c36a69293dcd0a34d13427c80120fb1788a35a2821a1fe471b5

Observation 2d51eef4-5234-4705-9d39-c3326018c4cd · outbound

This paper cites Latent Action Pretraining from Videos.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Latent Action Pretraining from Videos

Reference 28

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source=pdf_text observed=2026-08-07T05:23:33.035785Z digest=sha256:17834d1520cfd378a34262e480a3999216896255edbf5642707f6723726da557

Observation 267c7d71-9fa6-4f53-ac6f-06974f48e326 · outbound

This paper cites Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

Reference 29

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local_arxiv, observed 2026-08-07T05:23:34.258086Z

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source=pdf_text observed=2026-08-07T05:23:33.183113Z digest=sha256:52c18b02069898c165e8157940daf0f3c43212b38b478f576b0f9010e3b1b23d

Observation 3b7db28e-b5ea-4866-b08e-d79bd6358d6e · outbound

This paper cites Zheng, Z.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Zheng, Z

Reference 30

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source=pdf_text observed=2026-08-07T05:23:33.336105Z digest=sha256:a81da77f9a4eff128fc8d047fa411b8d3436cd71efc3852dc424ea3a9e51a616

Observation 37de7006-72f4-4c9e-87d4-330e3e95a14c · outbound

This paper cites BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction.

Scaling Laws of Motion Forecasting and Planning -- Technical Report BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction

Reference 31

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local_arxiv, observed 2026-08-07T05:23:33.913194Z

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source=pdf_text observed=2026-08-07T05:23:33.462113Z digest=sha256:951a6dfb5414f52ef8bd38ebf66ef71a6531af33ef836038d9bbd1c97efcae42

Observation 3b467808-acd9-4a84-81d5-407fb95e016a · outbound

This paper cites Parting with Misconceptions about Learning-based Vehicle Motion Planning.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Parting with Misconceptions about Learning-based Vehicle Motion Planning

Reference 2009

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source=pdf_text observed=2026-08-07T05:23:30.524769Z digest=sha256:36e962ae15cac1042548d4b93d724c96285fb74e827510aac33845714b390d52

Observation 88f2349f-de7b-4ab1-a9b9-dcbf5efd188a · outbound

This paper cites Training Compute-Optimal Large Language Models.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Training Compute-Optimal Large Language Models

Reference 2017

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source=pdf_text observed=2026-08-07T05:23:31.376389Z digest=sha256:81501a98a636f3e49dab0ae1a67d91f11cefd766fed7c5fb64bd1bc8137bbc03

Observation 66ab361d-f0e8-427c-84d7-44cf286585e8 · outbound

This paper cites Language Models are Few-Shot Learners.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Language Models are Few-Shot Learners

Reference 2020

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source=pdf_text observed=2026-08-07T05:23:30.308978Z digest=sha256:db660489269cbe29a2ec1f8514229f0c20705259759e34dbf627eb4635152c0c

Observation acc9f254-aae1-4d37-967b-443e036820b3 · outbound

This paper cites Scaling Laws for Neural Machine Translation.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Scaling Laws for Neural Machine Translation

Reference 2021

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source=pdf_text observed=2026-08-07T05:23:30.657036Z digest=sha256:c8d14ca3e32fef67d762412212c436038a6ede53e9fe52848041a23f472679e7

Observation 9ea9aa05-3c96-4333-a6c4-9a4eb7366cde · outbound

This paper cites Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

Reference 2022

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source=pdf_text observed=2026-08-07T05:23:30.756617Z digest=sha256:ea10e510dfc566b7a688855e6124b54a00f12a201ec729c038a68249afc39dec

Observation beba8cc6-3cc9-4992-97ec-9ff0ff6d1eb7 · outbound

This paper cites DriveGPT: Scaling Autoregressive Behavior Models for Driving.

Scaling Laws of Motion Forecasting and Planning -- Technical Report DriveGPT: Scaling Autoregressive Behavior Models for Driving

Reference 2023

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source=pdf_text observed=2026-08-07T05:23:31.576326Z digest=sha256:c67e6c9091ebf46cb7d7da62b539b883e97fa2972d3c41024f35f04d5cb47a1c

Observation 2411a4cb-3e88-4804-8f59-3dc10f2e738e · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2024

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source=pdf_text observed=2026-08-07T05:23:30.190294Z digest=sha256:8b7bfd69cf03aa43201af07691cbe11e518c24bff4c6b3aff0fac58a050e3969

Observation beefe3b3-4838-4f49-9afd-acf1cf8b09e7 · outbound

This paper cites Mercat, T.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Mercat, T

Reference 2025

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raw_fallback, observed 2026-08-07T05:23:35.603849Z

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

source=pdf_text observed=2026-08-07T05:23:32.021713Z digest=sha256:cc9376f982d3af82c86137e33d38c63d490222e6c8b7c4e3185c8a35b2ae2430

Pith citing papers

Observation 1227969a-564d-40b1-88b0-cf3a5475d00a · inbound

DeepFleet: Multi-Agent Foundation Models for Mobile Robots cites this paper.

DeepFleet: Multi-Agent Foundation Models for Mobile Robots Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 5

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arxiv_id, observed 2026-05-19T00:16:55.433350Z

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

source=pdf_text observed=2026-05-19T00:13:27.533407Z digest=sha256:36ae59be2088213473f12695c9eb88dcbf245ee0b64c022c947298f028016921

Observation 5c3d4772-dd00-47b4-8647-d8711fb9c87d · inbound

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving cites this paper.

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 3

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arxiv_id, observed 2026-05-17T06:48:00.978345Z

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

source=pdf_text observed=2026-05-17T06:48:00.943591Z digest=sha256:bfb1ce10fbee57285ec519ce860d88d1dda75f290e8e9512e36f5ddae4a02c58

Observation 7516db20-d178-4bde-a86f-a113a472a95b · inbound

SimScale: Learning to Drive via Real-World Simulation at Scale cites this paper.

SimScale: Learning to Drive via Real-World Simulation at Scale Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 3

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arxiv_id, observed 2026-05-17T04:34:01.797069Z

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

source=pdf_text observed=2026-05-17T04:33:03.629533Z digest=sha256:b7ee59369cd44dae3ea75eb2fcdb68a59b4727024c4bbd31e15eb1d0c37846ac

Observation 581be20d-2218-49ab-babd-459516140bc2 · inbound

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems cites this paper.

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 3

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arxiv_id, observed 2026-05-11T06:56:02.271368Z

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source=pdf_text observed=2026-05-10T17:22:25.943097Z digest=sha256:cc05d0756d7609ef40b8fbe8470fb2124f25386f8bbaeedcacfeff98053a8db6

Observation c12b023f-8e2e-424b-bf38-802511afee73 · inbound

Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive cites this paper.

Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 10

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arxiv_id, observed 2026-05-11T14:51:14.344835Z

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

source=pdf_text observed=2026-05-09T20:55:26.571128Z digest=sha256:2716fd149c7f798bbb12cafb29c2d4cb3784aedcb76dc76a3713a28fff914cf1

Observation 9ed51555-0795-4354-8269-c764e8325b72 · inbound

Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank cites this paper.

Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 1

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metadata mismatch
arxiv_id, observed 2026-05-11T16:46:05.639373Z

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=2026-05-09T15:12:20.245550Z digest=sha256:4fc29cbc5feb2ed53d2b06430662e611b76cd82dbf204388520a4fe665fa0535

Observation e493fdb6-7d03-474c-a4cf-5ba585bcf213 · inbound

VL-DPO: Vision-Language-Guided Finetuning for Preference-Aligned Autonomous Driving cites this paper.

VL-DPO: Vision-Language-Guided Finetuning for Preference-Aligned Autonomous Driving Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T05:43:06.051402Z

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=2026-05-20T05:39:04.567741Z digest=sha256:e11cb7fa9b920c96803e40ef4ca1140ed5e3097ce4c3480f0929b3bd005e64a3

Observation 2faa58f8-a368-4165-8cf4-f42ea2b710b1 · inbound

STELLAR: Scaling 3D Perception Large Models for Autonomous Driving cites this paper.

STELLAR: Scaling 3D Perception Large Models for Autonomous Driving Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:14:02.668689Z

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=arxiv_source observed=2026-05-21T07:09:55.202236Z digest=sha256:cf68c52c6dde50efa2049be194d3aa615a660a44544fd7603ae87393d1dede96

Observation 64265045-e14a-4678-bbde-a7fd3f8250be · inbound

Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training cites this paper.

Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:49:35.589839Z

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=2026-05-21T04:45:54.313310Z digest=sha256:3530ba225cff6976f25ec8d2ed89f5eb9175dbcde9397931d4c833e9ded6623f

Observation 76983c28-e796-4071-8b88-526edc8796d7 · inbound

Human-like autonomy emerges from self-play and a pinch of human data cites this paper.

Human-like autonomy emerges from self-play and a pinch of human data Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:28:31.995209Z

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=2026-06-27T07:01:12.737217Z digest=sha256:e2fad92ad2aceea657ef5416e12f54969919fda95dee3867269fc8d13a518485

Observation 59bcef49-5216-4ac6-99a3-a1a225d49cd6 · inbound

Scaling Self-Play for End-to-End Driving cites this paper.

Scaling Self-Play for End-to-End Driving Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.375263Z

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=2026-06-26T20:22:03.938518Z digest=sha256:b18a6b5fd52f077b4e0a7fd6e515c984f85a0bb24b7536c8003d742388d7ef8d

Observation c942dfd5-06c5-49de-bf60-bbb9df4c8894 · inbound

World Engine: Towards the Era of Post-Training for Autonomous Driving cites this paper.

World Engine: Towards the Era of Post-Training for Autonomous Driving Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:59:33.848723Z

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=2026-06-26T17:21:15.456982Z digest=sha256:6b657ef4c31c91a2ac54cd59e834be2786d43d9695cbf4bc9d452585e1b8dbae

Observation d47187b1-4c2b-4bbc-bd01-2980a59330b0 · inbound

Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs cites this paper.

Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:49:58.052473Z

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=2026-06-26T01:16:40.007718Z digest=sha256:582ec47b50ad53f95302b6a5ab4c0481801c1fe9ada7f2ed101b6de375779781

Observation 47bd9899-31bb-4304-b8ac-195642db5e31 · inbound

What Probing Reveals about Autonomous Driving: Linking Internal Prediction Errors to Ego Planning cites this paper.

What Probing Reveals about Autonomous Driving: Linking Internal Prediction Errors to Ego Planning Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:05:41.598298Z

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=arxiv_source observed=2026-07-01T05:48:11.718386Z digest=sha256:70d37c8e7d978faa481eead74309c809217a5d0599ff71e6075949866c5bdf5b

Observation 3c71a725-a141-46f4-845c-7695f0d6a331 · inbound

When to Plan: Learning to Select Between Reactive Control and Deliberative Planning cites this paper.

When to Plan: Learning to Select Between Reactive Control and Deliberative Planning Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T21:04:11.491938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:11.491938Z digest=sha256:ec108468db3bd3f232b3de35a360aa2e321ec2de92c869b02a456eae9580b64a

Observation ed98c125-72a4-4ea9-94f4-ed35b411b92b · inbound

Vernata: Self-Supervised Learning of LiDAR Point Representations cites this paper.

Vernata: Self-Supervised Learning of LiDAR Point Representations Scaling Laws of Motion Forecasting and Planning -- Technical Report

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T18:26:54.409126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:26:54.409126Z digest=sha256:da1166012f17ffe0c098e5e9c961d8be4bc9954c7eaa677748ab2d6a3c557c22