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Paper Citation Record · LEDGER

LHPF: Look back the History and Plan for the Future in Autonomous Driving

As of 13 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2411.17253.

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

pith.paper-citation-record.v1
2411.17253 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:27:25.358443Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7523240-6d17-481c-afee-85602cc3ceb7 · outbound

This paper cites Commonroad: Composable benchmarks for motion plan- ning on roads.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Commonroad: Composable benchmarks for motion plan- ning on roads

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f681ea2a-b19a-4b53-99c2-600db8c95811 · outbound

This paper cites Chauf- feurnet: Learning to drive by imitating the best and synthe- sizing the worst, 2018.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Chauf- feurnet: Learning to drive by imitating the best and synthe- sizing the worst, 2018

Reference 2

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raw_fallback, observed 2026-08-12T12:27:25.765468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e5d37e43-87f8-4d8a-ba5e-16ad29851f80 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

LHPF: Look back the History and Plan for the Future in Autonomous Driving NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 3

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no resolver link, observed 2026-08-12T12:27:25.227697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e099f3c6-4bea-4f68-8e0a-40f5d5bd475f · outbound

This paper cites Learning from all vehi- cles.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Learning from all vehi- cles

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.231792Z digest=sha256:3b9d7b8415cab0d5edf92a05d0735a29a9ee87763bc46c4c3ebafa21433553b3

Observation 04340e5a-a16d-4cfb-97e1-2fad78dfad9b · outbound

This paper cites Learning by cheating.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Learning by cheating

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.235786Z digest=sha256:f1198d39455f19122f769f2760c34b94da5a221e1f348ee1fa7ba36b7764ad41

Observation 8f35d1be-5932-48a5-83bb-92e56cac4a27 · outbound

This paper cites Ir-stp: Enhancing autonomous driving with interaction reasoning in spatio- temporal planning.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Ir-stp: Enhancing autonomous driving with interaction reasoning in spatio- temporal planning

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.732297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.240556Z digest=sha256:dccc21f97ae260052a8d2036545fd96707982bd3b251d15d5bd129decb8c4dcf

Observation 252f67ca-8a3c-4e6b-a9f1-cf70831b9c5b · outbound

This paper cites Mpnp: Multi-policy neural planner for urban driving.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Mpnp: Multi-policy neural planner for urban driving

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.720605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.244477Z digest=sha256:27e79000909f369ab607e5a42ae42e244173e0ccfe0000861b7e78238bd382ca

Observation 9ae6303b-efce-4ee9-ba4b-c16823cdf60b · outbound

This paper cites Rethinking imitation-based planner for autonomous driving, 2023.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Rethinking imitation-based planner for autonomous driving, 2023

Reference 8

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raw_fallback, observed 2026-08-12T12:27:25.709466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.248293Z digest=sha256:6c75c82601d533ee82d4262d5c4219cab5a9552c69e9622e561602684d450f4b

Observation ca33da26-3313-45ac-bdf8-08819a83cd87 · outbound

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

LHPF: Look back the History and Plan for the Future in Autonomous Driving PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

Reference 9

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no resolver link, observed 2026-08-12T12:27:25.251845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:25.251845Z digest=sha256:48d5ff84ab1f1e4dc322f78bca705f77d6afed386fc48de8de813aa0748eb7d9

Observation 75b85ede-97cc-448a-925e-0d4ce81a52db · outbound

This paper cites Neat: Neural attention fields for end-to-end autonomous driving.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Neat: Neural attention fields for end-to-end autonomous driving

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.698220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.255669Z digest=sha256:b837f90fee1b272331a81e8514b4c32382b8bca301e8a16c887bae1c68b1f096

Observation 2eca3728-566e-4c2d-8b62-4c42c919cb06 · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for autonomous driv- ing.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Transfuser: Imitation with transformer-based sensor fusion for autonomous driv- ing

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.685814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.259301Z digest=sha256:0a8c3e9829dd4a9a6adfc98f3a07f2a67aef5e147c7522d14bd3fc33923ca6c4

Observation 3748a5cf-a9f9-460f-9f8b-e901b4904aaf · outbound

This paper cites Exploring the limitations of behavior cloning for autonomous driving.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Exploring the limitations of behavior cloning for autonomous driving

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.262974Z digest=sha256:7b67b6df0c2140f39c0dd2fcbe4831a052117c3011edc697f258b082b096632c

Observation 1d33cda5-e8f4-498d-b730-4f5f243d3740 · outbound

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

LHPF: Look back the History and Plan for the Future in Autonomous Driving Multimodal trajectory predictions for autonomous driving using deep convolutional networks

Reference 13

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no resolver link, observed 2026-08-12T12:27:25.266328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:25.266328Z digest=sha256:82b5e8b651e265ec68a0fe879d341eeca8bc36c6e2445e706c843db50e0a1d85

Observation 57a4f28a-9aa3-4470-917a-916d422749ff · outbound

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

LHPF: Look back the History and Plan for the Future in Autonomous Driving Parting with misconceptions about learning- based vehicle motion planning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.656451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.269538Z digest=sha256:22af219acdf5c8bb9a17a980c9c1a5431884ef393b213ad289bc2d9424f79770

Observation 5af553b4-8d97-4cbf-a1be-d1396a6b9914 · outbound

This paper cites Multimodal trajectory prediction conditioned on lane-graph traversals.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Multimodal trajectory prediction conditioned on lane-graph traversals

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.645644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.272757Z digest=sha256:ca70ed23bfe9375fc28d27bbef540465b7b993c0cad55a00cb4e2b19c770057d

Observation bdd6a94a-0e8c-4304-87eb-5117d4c98a3d · outbound

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

LHPF: Look back the History and Plan for the Future in Autonomous Driving Densetnt: End-to-end trajectory prediction from dense goal sets

Reference 16

Resolution
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raw_fallback, observed 2026-08-12T12:27:25.633025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.276031Z digest=sha256:603ba77a82190e29773178b24c8a79a2b23de16f05459e7bbba772158469e8be

Observation 3c1e2ad3-275d-43b7-898c-623090e12d33 · outbound

This paper cites From prediction to planning with goal conditioned lane graph traversals.

LHPF: Look back the History and Plan for the Future in Autonomous Driving From prediction to planning with goal conditioned lane graph traversals

Reference 17

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raw_fallback, observed 2026-08-12T12:27:25.621291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.279236Z digest=sha256:ebdce25cff5a1bc71e20d643baca782245f70fe7a6a4847863b89831f5abb670

Observation 35481d01-a969-4452-b0f0-e41c16cad556 · outbound

This paper cites Multi-modal motion prediction using temporal ensembling with learning-based aggregation, 2024.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Multi-modal motion prediction using temporal ensembling with learning-based aggregation, 2024

Reference 18

Resolution
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raw_fallback, observed 2026-08-12T12:27:25.609807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.282305Z digest=sha256:43138b520b9ee60ff31972e50465331e1e16c0ecfe3004f2d088379da8a38e4b

Observation 27456d36-9817-4f9a-826e-a5319fd98f22 · outbound

This paper cites St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning.

LHPF: Look back the History and Plan for the Future in Autonomous Driving St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning

Reference 19

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no resolver link, observed 2026-08-12T12:27:25.285716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:25.285716Z digest=sha256:0a1c1a61449cf8436ba4e4dafd066863e55b07b282808ba4f57cf819d10383c6

Observation d2e4e565-ef60-452e-8a96-3882dc7dc01e · outbound

This paper cites Planning-oriented autonomous driving.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Planning-oriented autonomous driving

Reference 20

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no resolver link, observed 2026-08-12T12:27:25.289214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:25.289214Z digest=sha256:6061fa969a31a7d0cfb80ca7f102dd26044f5ed92559177ba807332e9d3a09ba

Observation fb615370-f9e5-4db7-87ac-5d37ae69e780 · outbound

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

LHPF: Look back the History and Plan for the Future in Autonomous Driving Multi-modal mo- tion prediction with transformer-based neural network for autonomous driving

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.585287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.293086Z digest=sha256:da8ef7efb8c168ec8aaec8a1a6d4ffb672c4609d8ac3cc369aeb278ee122e2ec

Observation 7b16c4a7-c80c-45da-8cc4-e679f136d26f · outbound

This paper cites Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving

Reference 22

Resolution
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raw_fallback, observed 2026-08-12T12:27:25.573833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9a697e65-0cb5-4417-96d5-fc6777b6521c · outbound

This paper cites Dtpp: Differentiable joint con- ditional prediction and cost evaluation for tree policy plan- ning in autonomous driving, 2024.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Dtpp: Differentiable joint con- ditional prediction and cost evaluation for tree policy plan- ning in autonomous driving, 2024

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.563327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.300058Z digest=sha256:c7b9122f849ea62d83a8086c76faa6ff797273e7fce7261d82692026875073a1

Observation c066c049-8c90-45c2-bed2-b488ad12910d · outbound

This paper cites Vad: Vectorized scene representa- tion for efficient autonomous driving.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Vad: Vectorized scene representa- tion for efficient autonomous driving

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.552981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.303498Z digest=sha256:bd02a0687be0796f358bd54ae7e6f9a06007f1a70d6eb388d4e2f93ffc7f7668

Observation 941952d5-00a9-44f8-829a-a34f333982a2 · outbound

This paper cites Lapred: Lane-aware prediction of multi- modal future trajectories of dynamic agents.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Lapred: Lane-aware prediction of multi- modal future trajectories of dynamic agents

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.541395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.306806Z digest=sha256:caaf6c5b2b7619d65a93c3a398b33a99224af01c8207795dbc0208af6ab877fa

Observation 05b5484f-9309-4990-8a73-0c825e68683b · outbound

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

LHPF: Look back the History and Plan for the Future in Autonomous Driving Urban driver: Learning to drive from real-world demonstrations using policy gradients

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.530310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.314203Z digest=sha256:e6bb14c44d2f6040d822ec7d8fd07ee9f2068db002f97ff2df06ec6849388aa1

Observation 7ec09932-3e4a-49a6-8664-9f7cde7b6fd9 · outbound

This paper cites Safety-enhanced autonomous driving using inter- pretable sensor fusion transformer.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Safety-enhanced autonomous driving using inter- pretable sensor fusion transformer

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.518736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.318187Z digest=sha256:e32a25edec5bc7739ee241060b4e84d9a9920c62ff7de3625d6f0a781cdd7a02

Observation 54894d91-b57a-46a1-9c6d-12d34e4ea65d · outbound

This paper cites Hpnet: Dynamic trajectory fore- casting with historical prediction attention, 2024.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Hpnet: Dynamic trajectory fore- casting with historical prediction attention, 2024

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.506923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.321764Z digest=sha256:42cf90fd5000eca40f544533ecfad97a6d17305c5fe57f7cdd86944d42006f95

Observation 99a42ed0-70de-4ba0-8607-60e7d06b196e · outbound

This paper cites Con- gested traffic states in empirical observations and micro- scopic simulations.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Con- gested traffic states in empirical observations and micro- scopic simulations

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.495215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.326139Z digest=sha256:95c6ab215fdaa9441d5b727dd1c4dc6075485b647a4229cee3ecb6dad77e28c7

Observation f31010c3-8507-4774-80a5-ac90384a73c2 · outbound

This paper cites Safetynet: Safe planning for real-world self-driving vehicles using machine-learned policies.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Safetynet: Safe planning for real-world self-driving vehicles using machine-learned policies

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.484322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.331196Z digest=sha256:883c99dddd38eb11ab25a4f5e7273056e15b50a91d2f080058257a3df22b075f

Observation 7260f3e2-d911-4064-8450-7e5c339f533f · outbound

This paper cites Improving au- tonomous driving safety with pop: A framework for accurate partially observed trajectory predictions.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Improving au- tonomous driving safety with pop: A framework for accurate partially observed trajectory predictions

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.473193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.334920Z digest=sha256:3be3c3098073e69052d065f1dc0fef5245d606a8e345b1163531179e2a10874f

Observation f6185719-cb17-424c-9025-961f9ca80707 · outbound

This paper cites Bootstrap Motion Forecasting With Self-Consistent Constraints.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Bootstrap Motion Forecasting With Self-Consistent Constraints

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T12:27:25.338801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:25.338801Z digest=sha256:97eeded264b05ed971c67e85119ac8e9802b28826966a9974d8647c65ec87622

Observation caf64435-9e49-4e04-9ed7-c3c4f3834c55 · outbound

This paper cites Tnt: Target-driven trajectory pre- diction.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Tnt: Target-driven trajectory pre- diction

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.462421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.343416Z digest=sha256:7a456210d5f4c8aede1a064ec6272394e9fcfe7a5d128f6c22e4868772b6f4f2

Observation 83dbaacb-fca2-4e1a-8510-7c64ead94b7b · outbound

This paper cites Query-centric trajectory prediction.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Query-centric trajectory prediction

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T12:27:25.346905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:25.346905Z digest=sha256:62f12dbde9bfa44c2c0e7504dc146fb26916d4015a816bc3652d293643be9fce

Observation a1cc99aa-a1d2-4c0c-ab50-5fa4f7d970ec · outbound

This paper cites Experiments on NuPlan a.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Experiments on NuPlan a

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.445157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.350423Z digest=sha256:ec32697ce745db53bf5309f7732f0cef0483d4119bfc43a4b7e61e4f0120adbb

Observation 5e50776f-2c99-4c63-995f-3cc28da62a7d · outbound

This paper cites Feature extraction targets map elements and agents within a 120- meter radius, adhering to the NuPlan challenge specifica- tions.

LHPF: Look back the History and Plan for the Future in Autonomous Driving Feature extraction targets map elements and agents within a 120- meter radius, adhering to the NuPlan challenge specifica- tions

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.433779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.354895Z digest=sha256:5791575e5ed9f8ede789aec8f70730983c093bfdb9a1c455ea7c992ecee2c972

Observation cf51902b-2627-4221-a8cb-ffb87c6df415 · outbound

This paper cites The ego plan is shown in yellow and pink, while agent predictions are depicted in green and blue.

LHPF: Look back the History and Plan for the Future in Autonomous Driving The ego plan is shown in yellow and pink, while agent predictions are depicted in green and blue

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:25.422001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:27:25.358443Z digest=sha256:14170702f1134909866791f82ac259bc3267d12a4e27d9c590161de09799df25

Pith citing papers

No inbound Pith citation observations are available.