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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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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.

source=pdf_text observed=2026-08-12T12:27:25.227697Z digest=sha256:e4e14e994c520396ee205b090a20507eeac30ab80a177c3c5efeff7180042da5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.231792Z digest=sha256:5be3439fd621e69ce426c5be2c47f44bb985d9227f2c949dbb5b497c23640708

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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raw_fallback, observed 2026-08-12T12:27:25.743220Z

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.

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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

Resolution
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.240556Z digest=sha256:bae55f1cb3c9431099043cfb3184c7b1a02e14f2b35b87c5b2cffc55205698a6

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

Resolution
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.244477Z digest=sha256:af08eb3cc5d47abe9a3a16e93b1abd6183f2656f6fea90873df21c608dfdc9ee

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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verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.248293Z digest=sha256:86583cc2a000b3e2c13eb641fd02922a5cb73f615fbc7a38a73c8c1bd1f40a0b

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:e8d76a74e551969a8c22336303ba9c30a66fb68d20b68c9b578c20807f6c2b6e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.255669Z digest=sha256:9807a93c42d5bc456d3fa4412829cae1983a8b4a3f0ed301a44fd0f1eb7393f6

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

Resolution
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.259301Z digest=sha256:05c3ccd981b830694a88cdbf84a8ea1174b7fdfd9ec30f811929b8bc16eb25c6

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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raw_fallback, observed 2026-08-12T12:27:25.673974Z

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=pdf_text observed=2026-08-12T12:27:25.262974Z digest=sha256:0bb40f7c6b7ebe90737a25fda14edd2d655456f3b93b70f4aea13820ce3ee87d

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

Resolution
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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:d887d2e8baf2de8e45b7bf205278c2297ea12a1ed42827af7864e5e6b63bbb88

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.269538Z digest=sha256:f63dfefd67eaa640a15003b66cc68ccaf12f4bd5b8a161fbdc7b22c8bba07d36

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.272757Z digest=sha256:fdef37ff8fcb9936c6a3f7623383fdcefdd7ff5f0cacc0db1256508ddc16b75b

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
verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.276031Z digest=sha256:0a757a738775bb66b59aad9a31dbb6f53369b707725cba9bc19b749ae721ef0c

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

Resolution
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.279236Z digest=sha256:df360f61a05713ea655a6c8c8775f14982e49b29c661ecbcfb906d66633b596f

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
verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.282305Z digest=sha256:40b5e0a060599d9eb6e50d5d4baa93310014fbd965cadb0ddf14fbb9f78b3404

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=sha256:8ff5ef28501bf498000bcfdf31b487d5b6de826448810c017c92a59869efb2dc

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

Resolution
unresolved
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=sha256:0d1b1ab3361f938aa3ba796d453dceb698a36d8d9a05a367982f83a2d16f662a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.293086Z digest=sha256:a2a0edf17c4bc59659aa92e8de29490ad88d92033ecebe4342e55b74b14e7736

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
verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.296565Z digest=sha256:9b1ac4ff3e77eadd20281b668b73a00fcaac07f1d2503759430b3361e7d0c8fb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.300058Z digest=sha256:76e27ddfbf24336a528babaeba20b793a9a315a0fb9902c658c3cfb37714305b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.303498Z digest=sha256:7645c8fe42e2651982557056bbdf3d9a01a0b5fea33558d5c4dc4c39f62dbe25

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.306806Z digest=sha256:d1751fdbe5176b39a59509074c65bb22f26b773c8a50ea622f791b580f268fad

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.314203Z digest=sha256:8c3d8f6994840b7640abd512d24eea071e93511acac0dfa8b9db959ba25b0a3f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.318187Z digest=sha256:5fbc6f641b9a79750c2c9476e15b59adb738b39245f8680a608743fca967df31

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.321764Z digest=sha256:097d276cde6cf8210f734b677218fa17faa1298b1dbe554ffc07ec52d36e2977

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

Resolution
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.326139Z digest=sha256:b3a1c04a71dc80e0217ee786358b7b416f3e553ea05baad4cba5c70eb43fa89d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.331196Z digest=sha256:a3e1cd8bdf5c4f414e50f62b40ee3b56a2ba3fe9232d04f8d3794eeab1665976

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.334920Z digest=sha256:cab93885710ebb15476c22eff02f96b6291237785cd5469749d8533ebf531d6a

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:bf9318a0db014ec1a537a986ab5ab80f8b5cd3df87a22e245914315cfc06061e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.343416Z digest=sha256:f83dbcd61d18179ea05bfcb1e4c34a6e9002ada4cc7f05704fad4c40b90919b3

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=sha256:26ac235d333c31920298fd4ebf3a2ae4feb269177f033d0944bd42efc152472a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.350423Z digest=sha256:260f5d7be481066a7964b4ca8e7b3ae0f6fc8c47576eee84f830c0eb547a6c79

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.354895Z digest=sha256:5dcac2ebdc4974b878842f6ecba2e530bfac52e6dbb5bfd91e926b7f378c1aa6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:25.358443Z digest=sha256:7e0530de5f03c3e121df1f96b984f87243e5c884c7db2f2264eb8dbaa04665b1

Pith citing papers

No inbound Pith citation observations are available.