Pith. sign in

Paper Citation Record · LEDGER

Control-ITRA: Controlling the Behavior of a Driving Model

As of 12 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2501.12408.

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

pith.paper-citation-record.v1
2501.12408 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:35:16.847993Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:36:43.492323Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

  • verified exact6
  • verified fuzzy24
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73064d51-6b49-467c-bb36-d7e0f126117f · outbound

This paper cites Comparison of markov chain abstraction and monte carlo simulation for the safety assessment of autonomous cars.

Control-ITRA: Controlling the Behavior of a Driving Model Comparison of markov chain abstraction and monte carlo simulation for the safety assessment of autonomous cars

Reference 1

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T19:35:18.774610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.505382Z digest=sha256:f87dee5431d3b5ff54be381f5f1e3233347c3eeb6ff132aa73fb966c9499ccc1

Observation cc0361d0-74f0-4990-821f-ff8872420069 · outbound

This paper cites Real time trajectory prediction for collision risk estimation between vehicles.

Control-ITRA: Controlling the Behavior of a Driving Model Real time trajectory prediction for collision risk estimation between vehicles

Reference 2

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T19:35:18.675545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.512499Z digest=sha256:92d116d992d7162a741533aa217e578a757c0b1e8734b79215c9a6de53cbea6e

Observation 10f00011-34b9-43e6-818e-8ae0bd74e722 · outbound

This paper cites A set of control points conditioned pedestrian trajectory prediction.

Control-ITRA: Controlling the Behavior of a Driving Model A set of control points conditioned pedestrian trajectory prediction

Reference 3

Resolution
verified exact
doi, observed 2026-08-10T19:35:17.065600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.521417Z digest=sha256:a3f24bf11714cba7857221dbaaf448873693b87bf82a38f1697ea192df607165

Observation 4ba0abb1-4e4d-4379-ae18-c609471d9586 · outbound

This paper cites Model-based threat assessment for avoiding arbitrary vehicle collisions.

Control-ITRA: Controlling the Behavior of a Driving Model Model-based threat assessment for avoiding arbitrary vehicle collisions

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T19:35:18.578200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.530839Z digest=sha256:8716f78b149492b2a95d87b4fa7436b4bc675ad1be87146c2fd1189226145e06

Observation c0e89fd5-e788-4d40-8bba-4aa9213d0a95 · outbound

This paper cites Implicit latent variable model for scene-consistent motion forecasting.

Control-ITRA: Controlling the Behavior of a Driving Model Implicit latent variable model for scene-consistent motion forecasting

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.249599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.537243Z digest=sha256:a77fb8d2b15f9b3ad07444ae7ce543333624f1d14edab7946f067d76f436666d

Observation f569ab58-499f-4521-943f-ff2aedd1a786 · outbound

This paper cites Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction.

Control-ITRA: Controlling the Behavior of a Driving Model Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.228535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.543550Z digest=sha256:224cec5e48c182b1f874333e5d967cbd814a242a29780a63420c148c0c976c1e

Observation 0afe2da5-7f98-4c8e-9048-bbe8df3a16f0 · outbound

This paper cites Editing driver character: Socially-controllable behavior generation for interactive traffic simulation.

Control-ITRA: Controlling the Behavior of a Driving Model Editing driver character: Socially-controllable behavior generation for interactive traffic simulation

Reference 7

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T19:35:18.497817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.548305Z digest=sha256:64adbfa9eb978d58b8110369064a9dda5a67e7cf37d563593ecd9ea248e286bf

Observation aac4efe9-755c-451a-afca-991b60c49d97 · outbound

This paper cites SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries, pp.\ 242–258.

Control-ITRA: Controlling the Behavior of a Driving Model SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries, pp.\ 242–258

Reference 8

Resolution
verified exact
doi, observed 2026-08-10T19:35:17.038693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.552360Z digest=sha256:ee5f0cad76fa67828a75dfd67aba9507e8cb4658baa49105b5c906188b693dd7

Observation 9a2ab6ce-c93b-40e1-84b8-8e2bd175ea49 · outbound

This paper cites Courville, and Yoshua Bengio.

Control-ITRA: Controlling the Behavior of a Driving Model Courville, and Yoshua Bengio

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.201755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.557340Z digest=sha256:f93ba808c7842cbc413e51c781d64d875f8552a245700ed98edc859e3875d935

Observation 85e8e45d-0f6b-449f-9b22-0d3b2bc4ed16 · outbound

This paper cites Multimodal trajectory predictions for autonomous driving using deep convolutional networks.

Control-ITRA: Controlling the Behavior of a Driving Model Multimodal trajectory predictions for autonomous driving using deep convolutional networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.562392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.562392Z digest=sha256:6fac00b00130e837c15b5378bccb3821baa6af7faeb4959ee4e40ff9d83ee999

Observation 3b44419c-bbdc-4b85-b4e6-87962df084e7 · outbound

This paper cites Modeling anger and aggressive driving behavior in a dynamic choice–latent variable model.

Control-ITRA: Controlling the Behavior of a Driving Model Modeling anger and aggressive driving behavior in a dynamic choice–latent variable model

Reference 11

Resolution
verified exact
doi, observed 2026-08-10T19:35:17.012255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.568115Z digest=sha256:3a75ad17a2f6a4c97e0d873d3ed62a06839240ffc480268079f02f16244b95e6

Observation 2f6f1a58-4e5d-4dfa-9f16-50f960a8fb0b · outbound

This paper cites Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving.

Control-ITRA: Controlling the Behavior of a Driving Model Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.181489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.573414Z digest=sha256:a88d222c4103a744ffdbd99fb95248f321066dca12eeeefaf5f6e2726a6b614b

Observation 8d79ebc9-0ebe-4277-b6d6-9e4a04ccab3b · outbound

This paper cites CARLA : An open urban driving simulator.

Control-ITRA: Controlling the Behavior of a Driving Model CARLA : An open urban driving simulator

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.162312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.578707Z digest=sha256:c63ada7257da813bf4a3a841b79ae0f4e7803bf3b5968d28a2c00d83ac0718e5

Observation d9c31bb5-4caf-4bfc-93c9-e10b4bcf114f · outbound

This paper cites Addressing function approximation error in actor-critic methods.

Control-ITRA: Controlling the Behavior of a Driving Model Addressing function approximation error in actor-critic methods

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.587862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.587862Z digest=sha256:c4b19614490900084ecfb31ff48ec248446b74cc7a187451b0eab3ac63a0d862

Observation 569e76f4-7242-48f3-a818-b2fa7a341c03 · outbound

This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability.

Control-ITRA: Controlling the Behavior of a Driving Model Vista: A generalizable driving world model with high fidelity and versatile controllability

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.137453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.599205Z digest=sha256:7eb189b50ab03d1b9f777f6bb7d47528b459027abff5b27e9a20170184086fa3

Observation 7fa6ca52-2a49-49fd-b3c6-3479d896ca48 · outbound

This paper cites Densetnt: End-to-end trajectory prediction from dense goal sets.

Control-ITRA: Controlling the Behavior of a Driving Model Densetnt: End-to-end trajectory prediction from dense goal sets

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.114963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.604768Z digest=sha256:fa3943687cb5cfd3fea5ed63d943449f3e5700c056f786ef5b58c386b087dc9f

Observation e349531b-9591-43ab-bade-20b8475f8e38 · outbound

This paper cites Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research.

Control-ITRA: Controlling the Behavior of a Driving Model Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.092062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.610081Z digest=sha256:70b7de030c82058ec0b57ab1e7879850c77236fa1a0445f9c781ada35ea1a27c

Observation 65739177-9aca-49db-9ab8-839cbe5fd027 · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

Control-ITRA: Controlling the Behavior of a Driving Model Soft Actor-Critic Algorithms and Applications

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.624382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.624382Z digest=sha256:7d3825d39e0167a31aabf35d59bfb841c680fdb720271f6b1cd9be5e1fff576f

Observation 665f07ef-14e8-418c-bac5-878b74ec1189 · outbound

This paper cites Multi-modal motion prediction with transformer-based neural network for autonomous driving.

Control-ITRA: Controlling the Behavior of a Driving Model Multi-modal motion prediction with transformer-based neural network for autonomous driving

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.633879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.633879Z digest=sha256:37d3c188c9282061d54a0eec2d5b0b6eb120d53e0991bf859472f0ba224788e9

Observation 071dc506-ea44-444e-9bb7-1d3aa64afee0 · outbound

This paper cites Scenediffuser: Efficient and controllable driving simulation initialization and rollout.

Control-ITRA: Controlling the Behavior of a Driving Model Scenediffuser: Efficient and controllable driving simulation initialization and rollout

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.077977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.640122Z digest=sha256:df0c24b4040ee41c0f46511e58d6258afe3dc29f8a6e240a81a43a67a708c3c0

Observation a685c77d-2646-400d-bf43-9e89d4938210 · outbound

This paper cites Switched kalman filter-interacting multiple model algorithm based on optimal autoregressive model for manoeuvring target tracking.

Control-ITRA: Controlling the Behavior of a Driving Model Switched kalman filter-interacting multiple model algorithm based on optimal autoregressive model for manoeuvring target tracking

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.647351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.647351Z digest=sha256:5a1ccc6b4cb47c161c97ea05e424aa564a4f4f509b8c49b33c93941725d18058

Observation efa63f51-2fcd-4cc8-bc98-6e3d4fa62234 · outbound

This paper cites TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters.

Control-ITRA: Controlling the Behavior of a Driving Model TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.653894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.653894Z digest=sha256:1505585369eb68790f56eb1a7e67991b29ff23e044ecf18df5f65727c3a10615

Observation 4082da9d-45c2-4574-9eea-c4385439b593 · outbound

This paper cites Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, and Vladimir Pavlovic.

Control-ITRA: Controlling the Behavior of a Driving Model Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, and Vladimir Pavlovic

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.060320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.659355Z digest=sha256:3d935fad65fad2fb81daba484ee7a306f0bd57a319a0142ab3aee78005586736

Observation 7ab3f801-cc67-49cc-9687-19d2a449fa75 · outbound

This paper cites Zeilinger.

Control-ITRA: Controlling the Behavior of a Driving Model Zeilinger

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.664107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.664107Z digest=sha256:1e638224f22d54ce1b99a480f8bc7fef41566c4008e092bc47641492a0d5a086

Observation f89efef3-830d-4792-a022-68c157264e94 · outbound

This paper cites an unresolved cited work.

Control-ITRA: Controlling the Behavior of a Driving Model Unresolved cited work

Reference 25

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T19:35:18.016089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.668901Z digest=sha256:f23e8fe7f21372bfbd2a4329c628bfdb556e904c32d4884e9e9b81ef3e9d4edd

Observation ec4fde96-555b-401a-8ca1-13fe462eed63 · outbound

This paper cites TITRATED : Learned human driving behavior without infractions via amortized inference.

Control-ITRA: Controlling the Behavior of a Driving Model TITRATED : Learned human driving behavior without infractions via amortized inference

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.044167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.673647Z digest=sha256:ed2c0b731af7eaaa021ba25b6b9e7b7eb5e2dbb98e89ffcfd69d0d944d69dcbe

Observation a945d3b0-9c6f-48b1-b629-9d7ff74f7b6d · outbound

This paper cites Multimodal motion prediction with stacked transformers.

Control-ITRA: Controlling the Behavior of a Driving Model Multimodal motion prediction with stacked transformers

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.025694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.678198Z digest=sha256:8d9897213466326b4cd7ef458077c23f7c8c456805e0e773756ec332cf2457a6

Observation 0259f121-bf71-4073-b667-88abd6da10e3 · outbound

This paper cites Cooperative path prediction in vehicular environments.

Control-ITRA: Controlling the Behavior of a Driving Model Cooperative path prediction in vehicular environments

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.682282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.682282Z digest=sha256:1892a00903ef8dc942018910194c82256fdb6700e6673414bc8927abd36b6e94

Observation c1056ab8-58b1-4208-917f-607b40010b5a · outbound

This paper cites It is not the journey but the destination: Endpoint conditioned trajectory prediction.

Control-ITRA: Controlling the Behavior of a Driving Model It is not the journey but the destination: Endpoint conditioned trajectory prediction

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:19.009481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.685973Z digest=sha256:d288d4c1f70219dc73412618bde8e1f20c51db835b8b456807c8afebeb311c00

Observation fde3fd28-f664-4323-b5e3-92fa1b9e89f9 · outbound

This paper cites From goals, waypoints & paths to long term human trajectory forecasting.

Control-ITRA: Controlling the Behavior of a Driving Model From goals, waypoints & paths to long term human trajectory forecasting

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.991655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.690873Z digest=sha256:12bc36bf59b11fdb0b47ad3847b8d5e3d2eb0df0ae533f8690feea41df76ee69

Observation 9bbbdfd0-bf2a-41f6-bc2a-9187049e8ae6 · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

Control-ITRA: Controlling the Behavior of a Driving Model Asynchronous methods for deep reinforcement learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.974080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.696763Z digest=sha256:e8ca18727f197c6f74101a90d71d24e2c74796d0a6655f3c3d3a1e79cca1a59d

Observation be0dd6e6-5a0a-48a4-8d20-7ec82b2aa856 · outbound

This paper cites A diffusion-model of joint interactive navigation.

Control-ITRA: Controlling the Behavior of a Driving Model A diffusion-model of joint interactive navigation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.960290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.710731Z digest=sha256:cf8f9aed71503d3b0b112c5eae9d378c795cf3df637aa25aae58af3ebc767d37

Observation 7d893a95-b58f-42e9-8b67-b1eff36be76f · outbound

This paper cites Driver intention-based vehicle threat assessment using random forests and particle filtering.

Control-ITRA: Controlling the Behavior of a Driving Model Driver intention-based vehicle threat assessment using random forests and particle filtering

Reference 34

Resolution
verified exact
doi, observed 2026-08-10T19:35:16.975594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.715404Z digest=sha256:c139b96772bb5ded1f0b305084a73d581890c4001a48cea177780be6356dbe5c

Observation cb51639f-5f2a-4be4-97d0-45bfa9471082 · outbound

This paper cites Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles.

Control-ITRA: Controlling the Behavior of a Driving Model Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.945670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.721127Z digest=sha256:57fb4ad0259f39134337a64626464f0e95dc08ba8232e5838a83a00218a4db88

Observation 068c91bb-78c2-4542-998a-a21cc9bd9d10 · outbound

This paper cites Courville.

Control-ITRA: Controlling the Behavior of a Driving Model Courville

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.931709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.727032Z digest=sha256:a4e889ccd9eeee9c03a237ba20751a1643acae74c4fb78db4d85a2e9d017a3c0

Observation 77a2e473-3ed4-4e66-b3aa-9afa9fefbd1a · outbound

This paper cites Lateral Vehicle Dynamics.

Control-ITRA: Controlling the Behavior of a Driving Model Lateral Vehicle Dynamics

Reference 37

Resolution
verified exact
doi, observed 2026-08-10T19:35:16.949889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.732340Z digest=sha256:962e8dd0f05e56852f4aad6fbc3d849f936e472fd768237866747c6d66e30e92

Observation 62c6a18e-7cd8-4e85-bc60-9014f1216fe9 · outbound

This paper cites Precog: Prediction conditioned on goals in visual multi-agent settings.

Control-ITRA: Controlling the Behavior of a Driving Model Precog: Prediction conditioned on goals in visual multi-agent settings

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.914100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.740839Z digest=sha256:379e3c52be8e2c5114e346b03f5cd9483aabdc10a67f87ab7cbff46526e4c17f

Observation 12466aa1-c17f-4ad1-8f7c-194c313acd66 · outbound

This paper cites Ct RL -sim: Reactive and controllable driving agents with offline reinforcement learning.

Control-ITRA: Controlling the Behavior of a Driving Model Ct RL -sim: Reactive and controllable driving agents with offline reinforcement learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.892302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.751628Z digest=sha256:e3a0bfe2056b501d046f8bf7d8002ab853664de993daa10b494fa0541a9a283d

Observation f13b6409-6f95-4b81-8d95-6a75079b8abe · outbound

This paper cites Madras : Multi agent driving simulator.

Control-ITRA: Controlling the Behavior of a Driving Model Madras : Multi agent driving simulator

Reference 40

Resolution
verified exact
doi, observed 2026-08-10T19:35:16.906232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.756909Z digest=sha256:907b30f6b66d56dcc91270aa2289127771addc396a562dc36091d4b30921dafc

Observation 0c800e06-4ce5-4d7b-a620-fee8eee28cbf · outbound

This paper cites Proximal Policy Optimization Algorithms.

Control-ITRA: Controlling the Behavior of a Driving Model Proximal Policy Optimization Algorithms

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.763294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.763294Z digest=sha256:f33f808b374394b23c7f40ef3412f325c772892f2a126b04cc69c827970ec588

Observation 3a4ff83e-c7e4-4665-81cf-e45459785c58 · outbound

This paper cites Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation.

Control-ITRA: Controlling the Behavior of a Driving Model Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.872786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.769339Z digest=sha256:8dc621961d7c0711bcfe55c400f1e0be8731e8374abe0b0b094407297f9468ac

Observation 6fbb3e65-5988-439b-9fb7-9f61ea58a68f · outbound

This paper cites Refaat, Rami Al-Rfou, and Benjamin Sapp.

Control-ITRA: Controlling the Behavior of a Driving Model Refaat, Rami Al-Rfou, and Benjamin Sapp

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.774596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.774596Z digest=sha256:5aa51dea0683f73c70a916ce412db8bb57c0a13870245eda7d008ac4b6fc987b

Observation 1b30c55d-912e-44a3-bc0d-a5b1d3369de7 · outbound

This paper cites Trafficsim: Learning to simulate realistic multi-agent behaviors.

Control-ITRA: Controlling the Behavior of a Driving Model Trafficsim: Learning to simulate realistic multi-agent behaviors

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.779541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.779541Z digest=sha256:a0cec335cc0f12143fd230b399eef09d79c3f12b1b2b0f482d93011830a74d71

Observation c2e045a0-6d67-4826-b3b1-e024cf6b3042 · outbound

This paper cites Mixsim: A hierarchical framework for mixed reality traffic simulation.

Control-ITRA: Controlling the Behavior of a Driving Model Mixsim: A hierarchical framework for mixed reality traffic simulation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.852179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.784482Z digest=sha256:ffba9689ee54088234314c504dc7c8adfb792f1189a8ef6d18bebc5262f8db8b

Observation cd586395-0fb2-47e1-a4b0-530a842435ef · outbound

This paper cites Multiple futures prediction.

Control-ITRA: Controlling the Behavior of a Driving Model Multiple futures prediction

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.833337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.789232Z digest=sha256:40e1b4db3f48aa808dc1b2263dc3eff04982b99c1920f5b12cd40aad1eadc39f

Observation f342b1bd-85fa-4aa6-a392-5890534b88ff · outbound

This paper cites Trajectory planning and safety assessment of autonomous vehicles based on motion prediction and model predictive control.

Control-ITRA: Controlling the Behavior of a Driving Model Trajectory planning and safety assessment of autonomous vehicles based on motion prediction and model predictive control

Reference 47

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T19:35:17.518071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.796373Z digest=sha256:c5a32ef2b334dd3f0ae7775b8f05402954f8e979e63098f4a4f261a295d02f8d

Observation f6a00f24-8c9a-4aad-a0e3-d3648f8ca17f · outbound

This paper cites SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction.

Control-ITRA: Controlling the Behavior of a Driving Model SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.805844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.805844Z digest=sha256:f9d37d73ccb83b0a702d7bcd8226b904064368b092832928fc87a9d3e518dc86

Observation fd5c8c6e-86dc-45a9-beca-60816fbe894c · outbound

This paper cites Goal-lbp: Goal-based local behavior guided trajectory prediction for autonomous driving.

Control-ITRA: Controlling the Behavior of a Driving Model Goal-lbp: Goal-based local behavior guided trajectory prediction for autonomous driving

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.816040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.816040Z digest=sha256:ed556fb19eb0aa53cd956483b30181519c6caaf425330205a24471b827cff420

Observation 409c509e-fcc8-4883-81c4-e5301873718c · outbound

This paper cites S-cvae: Stacked cvae for trajectory prediction with incremental greedy region.

Control-ITRA: Controlling the Behavior of a Driving Model S-cvae: Stacked cvae for trajectory prediction with incremental greedy region

Reference 50

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T19:35:17.292997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.823244Z digest=sha256:4877212468adea81f6e26471ce463ffce5412566bd1574355afc557f7e5ebaac

Observation 71de0b9f-4b48-422d-ab84-2d2dd380ac38 · outbound

This paper cites A survey of autonomous driving frameworks and simulators.

Control-ITRA: Controlling the Behavior of a Driving Model A survey of autonomous driving frameworks and simulators

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.830349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.830349Z digest=sha256:d74403c9907927752c4dc093854852c57d2483eed0830fd79d149de2a1962695

Observation 3b41ed81-345c-4542-9bd2-144ae5f51bf7 · outbound

This paper cites Language-guided traffic simulation via scene-level diffusion.

Control-ITRA: Controlling the Behavior of a Driving Model Language-guided traffic simulation via scene-level diffusion

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:35:18.804509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T19:35:16.837840Z digest=sha256:0f5edb516a07ca7bc58f98b180c3a40fd47dbd26ecd60e83cc15f931df2f46d8

Observation a3d7fa54-4fc6-4c48-8f72-75210dd3397e · outbound

This paper cites Guided conditional diffusion for controllable traffic simulation.

Control-ITRA: Controlling the Behavior of a Driving Model Guided conditional diffusion for controllable traffic simulation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.843136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.843136Z digest=sha256:3093a694445fc70155ea7d16ba04c5d51eb6d9c36146192ed20d74e6e6a3ccdf

Observation c80f2902-6234-46fc-8b12-361e1463e691 · outbound

This paper cites write newline.

Control-ITRA: Controlling the Behavior of a Driving Model write newline

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T19:35:16.847993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:16.847993Z digest=sha256:7179618b26958638bb3febcebfc19df4a1eebed4f5e70bbdbf737355940121de

Pith citing papers

Observation 56711bf1-d71b-453a-b62f-4287f04105ab · inbound

Mirror Learning cites this paper.

Mirror Learning Control-ITRA: Controlling the Behavior of a Driving Model

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T00:36:43.492323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:36:43.492323Z digest=sha256:03bbae6ff1242a84ffe2c82a8a8819aa7acd0023d764e75585c274cb0134d7eb