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Paper Citation Record · LEDGER

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.13704.

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

pith.paper-citation-record.v1
2607.13704 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:30:20.730127Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

30 of 30 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b70bd92-f061-4c3d-92ea-397a40b168ad · outbound

This paper cites Baidu apollo team (2017), apollo: Open source autonomous driving,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Baidu apollo team (2017), apollo: Open source autonomous driving,

Reference 1

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source=pdf_text observed=2026-08-02T04:30:18.679038Z digest=sha256:7bbc9e15957d619476df7fe0a84138a22927087c1f8815f598616711292edb49

Observation 7368661c-ece2-4dce-9664-bd9d1c3fb6fd · outbound

This paper cites Robocar: A rapidly deploy- able open source platform for autonomous driving research,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Robocar: A rapidly deploy- able open source platform for autonomous driving research,

Reference 2

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source=pdf_text observed=2026-08-02T04:30:18.725705Z digest=sha256:cb02f839accdbe95522d18854965fb8982201403f7b998a50b91d46c9b39bff6

Observation fc4746c3-905f-4a5d-82ff-fabb15b162ac · outbound

This paper cites Planning-oriented autonomous driving,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Planning-oriented autonomous driving,

Reference 3

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source=pdf_text observed=2026-08-02T04:30:18.780880Z digest=sha256:dda3fd8909e7f1e637fa3eaccbee43ced431dcae341b6a789e8ba07d73b9fe6d

Observation 7c3f41dc-d98e-4fac-89ff-8fa4957b546b · outbound

This paper cites Sparsedrive: End-to-end autonomous driving via sparse scene representation,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Sparsedrive: End-to-end autonomous driving via sparse scene representation,

Reference 4

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source=pdf_text observed=2026-08-02T04:30:18.834393Z digest=sha256:93d9d52b7ff87281e034a08b70707b10c09d753cef357767f412e373b3406f26

Observation 4dd7f9b1-2fdb-406c-b2be-237b942d4ab4 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks nuscenes: A multimodal dataset for autonomous driving,

Reference 5

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source=pdf_text observed=2026-08-02T04:30:18.889691Z digest=sha256:b429b5fd9fd75362e9198f491d3b10f39ad5847211fb095296c978e7bbe304eb

Observation 74691e91-a71f-4fd2-9663-0ab0f0fe83ac · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,

Reference 6

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source=pdf_text observed=2026-08-02T04:30:18.966171Z digest=sha256:dea39a4f75a598f6fb9c0041e44e731b1ecdaa972404aca1cdc510efdfb3eef6

Observation 1e3b3828-aaf8-44a4-98b7-62c6915ae9ea · outbound

This paper cites Nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles,

Reference 7

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source=pdf_text observed=2026-08-02T04:30:19.022753Z digest=sha256:942956ffa6abba070fdfcb3dbdc9cf2bddcda60b039c0e906d31dd495390bc8c

Observation d7ee9c5a-9590-4a5f-a2bf-0ccfc6ae3e64 · outbound

This paper cites Rethinking Imitation-based Planner for Autonomous Driving.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Rethinking Imitation-based Planner for Autonomous Driving

Reference 8

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source=pdf_text observed=2026-08-02T04:30:19.082700Z digest=sha256:bcabfd092806fbef6f1b46aa675aa26d016e6665f44652d2dbc70694982e887e

Observation 0c9335d7-4a29-4f8e-beeb-ee5fba575ca3 · outbound

This paper cites CARLA: An open urban driving simulator,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks CARLA: An open urban driving simulator,

Reference 9

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source=pdf_text observed=2026-08-02T04:30:19.154505Z digest=sha256:7942a537933c0fa334eb513b2db0feed7a494e7c493a398dad1fc6e7e7b8369c

Observation 2bbf3918-0cba-43d3-a2fe-b4e02c8c6fc5 · outbound

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

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research,

Reference 10

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source=pdf_text observed=2026-08-02T04:30:19.234618Z digest=sha256:86a5e0b90d553a005e80b6c56dce6b6e4d73cc9339b1cc0a993016637ba8a0a0

Observation 32bd6155-9d26-472a-bf8b-569942228da5 · outbound

This paper cites Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving,

Reference 11

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source=pdf_text observed=2026-08-02T04:30:19.314254Z digest=sha256:26ed2035a5cb507bd8758503ce5299d61fea3bdafd12ef3b366e6858706b35f8

Observation 520f763a-8db5-477a-8bae-fb5653a441a7 · outbound

This paper cites End-to-end urban driving by imitating a reinforcement learning coach,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks End-to-end urban driving by imitating a reinforcement learning coach,

Reference 12

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source=pdf_text observed=2026-08-02T04:30:19.365836Z digest=sha256:37b76a977bfe8a0bf0023960477e00704067a00b0d12250986a205a70cbeb25c

Observation 03dab79f-c069-492e-ae06-beb0a27ae8a9 · outbound

This paper cites Think2drive: Efficient reinforce- ment learning by thinking in latent world model for quasi-realistic autonomous driving (in carla-v2),.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Think2drive: Efficient reinforce- ment learning by thinking in latent world model for quasi-realistic autonomous driving (in carla-v2),

Reference 13

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source=pdf_text observed=2026-08-02T04:30:19.447369Z digest=sha256:c8328097e51230e3297e7a1d9c6923c9b086a6d839f5cc8fe18a6f9e550d71f1

Observation 888c1fea-21d3-45e3-986a-9d43535c1fbf · outbound

This paper cites Man truckscenes: A multimodal dataset for autonomous trucking in diverse conditions,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Man truckscenes: A multimodal dataset for autonomous trucking in diverse conditions,

Reference 14

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source=pdf_text observed=2026-08-02T04:30:19.529679Z digest=sha256:3a2a117af1be7c616abe544291eb2d780c2eefd690bcdaf56d5cbb0ce19a24cb

Observation 332e10e8-c67c-4175-81ce-fb30ba0bca65 · outbound

This paper cites Truckdrive: Long-range autonomous highway driving dataset,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Truckdrive: Long-range autonomous highway driving dataset,

Reference 15

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source=pdf_text observed=2026-08-02T04:30:19.610949Z digest=sha256:71e96dd9e76df85f62f515f217bac0f02bd7b596373a967b2d987e78ef022d7a

Observation e084d2f1-7015-4e6d-a100-d48ca921acc7 · outbound

This paper cites Congested traffic states in empirical observations and microscopic simulations,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Congested traffic states in empirical observations and microscopic simulations,

Reference 16

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source=pdf_text observed=2026-08-02T04:30:19.662924Z digest=sha256:c679ff8067c653cac1158546e6df8717a8c9edd32fba78ee43e49897991585fe

Observation 63e4b10c-5740-4846-84f5-c5cca56c6210 · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks End-to-end autonomous driving: Challenges and frontiers,

Reference 17

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source=pdf_text observed=2026-08-02T04:30:19.742450Z digest=sha256:7bf4f484ab40ee96d989ad72ac86bdea42c661494e50c1675c5b66ade2e2fa2f

Observation 0444fadc-c296-4c79-a89e-a43f1f8243a6 · outbound

This paper cites Data scaling laws for end-to-end autonomous driving,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Data scaling laws for end-to-end autonomous driving,

Reference 18

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source=pdf_text observed=2026-08-02T04:30:19.802830Z digest=sha256:d568d1154ddb423ca8d8525ec3bebe2a047af83fbf85fa01eda25e76263d389a

Observation 90e70ca6-efd3-4b13-b120-3da176e2b6ed · outbound

This paper cites Carl: Learning scalable planning policies with simple rewards,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Carl: Learning scalable planning policies with simple rewards,

Reference 19

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source=pdf_text observed=2026-08-02T04:30:19.849081Z digest=sha256:81a278a94f48cb7f7c8620641f46aab5cbc05f90d7f6b9532be8be3636753eca

Observation 816b248e-0e82-4a3c-b27f-3315d8fa6d86 · outbound

This paper cites Learning to drive in a day,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Learning to drive in a day,

Reference 20

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source=pdf_text observed=2026-08-02T04:30:19.929271Z digest=sha256:216d0174487627fa1f243c80740b5958f3bf172a6f8e0ad2845187c5c1d6a5f7

Observation e10a44c4-f398-4d1b-aa3b-4d841fb16196 · outbound

This paper cites Urban driver: Learning to drive from real-world demonstrations using policy gradients,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Urban driver: Learning to drive from real-world demonstrations using policy gradients,

Reference 21

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source=pdf_text observed=2026-08-02T04:30:19.997136Z digest=sha256:dffd18e64bd4d6132aa0c954e6da9bfad867abfee4da3db0287214fdfcc50e10

Observation 4334cf0c-39ba-4d3d-88be-b210db431ed9 · outbound

This paper cites Reward (mis)design for autonomous driving,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Reward (mis)design for autonomous driving,

Reference 22

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source=pdf_text observed=2026-08-02T04:30:20.074685Z digest=sha256:48787cdf6a8fc4cc826a2913f7fdec8a5a753453a0bf4d6f99dec954445e2b9a

Observation e78431b6-42f3-4e9f-bea6-f495496fc9ef · outbound

This paper cites An intelligent self-driving truck system for highway transportation,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks An intelligent self-driving truck system for highway transportation,

Reference 23

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source=pdf_text observed=2026-08-02T04:30:20.147484Z digest=sha256:88d5204889da9c1ddcf4ba57607736ca767641b07595feaad9c6770301f70e57

Observation d67f6e42-d9c1-43a1-9e10-538f5537a276 · outbound

This paper cites Parting with misconceptions about learning-based vehicle motion planning,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Parting with misconceptions about learning-based vehicle motion planning,

Reference 24

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source=pdf_text observed=2026-08-02T04:30:20.249705Z digest=sha256:044e4e90996336703ff1556e38e694c9540216646712ea75e66ecc902b111f33

Observation af9182cc-1c33-43d3-aaa1-f43312c29afd · outbound

This paper cites Plan-r1: Safe and feasible trajectory planning as language modeling,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Plan-r1: Safe and feasible trajectory planning as language modeling,

Reference 25

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source=pdf_text observed=2026-08-02T04:30:20.321238Z digest=sha256:ca99ad7ad1455465f96f42900a4b61586b17f8125a397c3adcaaf9303c59beb2

Observation fc4ee887-1595-40e4-a3d8-309ca21af718 · outbound

This paper cites Constrained iterative lqr for on- road autonomous driving motion planning,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Constrained iterative lqr for on- road autonomous driving motion planning,

Reference 26

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source=pdf_text observed=2026-08-02T04:30:20.394078Z digest=sha256:866f6146214301e85f0cc82031f3f51e73b51ffab5a36b066e9c1a7da0aa8201

Observation e9474e60-572a-4f6d-9554-f5a552cde57b · outbound

This paper cites The magic formula tyre model,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks The magic formula tyre model,

Reference 27

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source=pdf_text observed=2026-08-02T04:30:20.478628Z digest=sha256:e05fbb54090bc59f066ae06534e6982e2b4480f135f1e0b40c3beb3f7f518be3

Observation f1b49a21-2e07-4b3d-bbce-5fc02989ee55 · outbound

This paper cites PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

Reference 28

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source=pdf_text observed=2026-08-02T04:30:20.556143Z digest=sha256:3f8a5e3dd86d03b06f682297afbc0a84bf0831bda156939f3985b480d488c700

Observation c0f9b437-8164-470c-afc7-190dea7f6cf0 · outbound

This paper cites Flexible spacing adaptive cruise control using stochastic model predictive control,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Flexible spacing adaptive cruise control using stochastic model predictive control,

Reference 29

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source=pdf_text observed=2026-08-02T04:30:20.644020Z digest=sha256:37d7b9ed548c10aa29ad94da0848269d35c54f1722c42dedfe3b65afc54fd17c

Observation a28f0754-7d5b-4705-a5ad-694c41022cc4 · outbound

This paper cites Autonomous driving motion planning with constrained iterative lqr,.

nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks Autonomous driving motion planning with constrained iterative lqr,

Reference 30

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source=pdf_text observed=2026-08-02T04:30:20.730127Z digest=sha256:64963117dd295841ac3c2266616d5d50474f3c249a02e534024b6374295a8e91

Pith citing papers

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