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Paper Citation Record · LEDGER

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction

As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.21121.

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

pith.paper-citation-record.v1
2506.21121 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:40:13.786119Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy44
  • unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c66b37d-0547-48dc-9972-d389feb28a1e · outbound

This paper cites write newline.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction write newline

Reference 1

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no resolver link, observed 2026-08-06T22:40:09.194860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:09.194860Z digest=sha256:9196e9b3c11803896f4db426dcdf0b625a702a19935e079e67cfcedaa458ab00

Observation 0b9b7e75-9467-45f4-a15c-db43e48f9ebc · outbound

This paper cites R., Deshpande, A., and Motional, H.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction R., Deshpande, A., and Motional, H

Reference 2

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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 2026-08-08T06:32:00.761636+00:00.

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Observation 94020244-3b90-4589-a583-dafceaec567c · outbound

This paper cites Neural machine translation by jointly learning to align and translate.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Neural machine translation by jointly learning to align and translate

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T22:40:21.050168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6801b81c-5334-4d29-b08e-ae332c7558f1 · outbound

This paper cites H., Vora, S., Liong, V.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction H., Vora, S., Liong, V

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2eaf4d79-d67f-47ad-96ec-747f87946eb7 · outbound

This paper cites Argoverse: 3d tracking and forecasting with rich maps.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Argoverse: 3d tracking and forecasting with rich maps

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ffc1a420-7d9b-427e-84f2-718415700f24 · outbound

This paper cites End-to-end Autonomous Driving: Challenges and Frontiers.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction End-to-end Autonomous Driving: Challenges and Frontiers

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:09.786521Z digest=sha256:6061f02245c527e41e00208291c4e063b8b80e7740db3fe833a49b77c2f5456d

Observation 2d743f0b-28ee-42e0-a4ca-2077986ebe59 · outbound

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

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Multimodal trajectory predictions for autonomous driving using deep convolutional networks

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T22:40:20.513106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:09.958193Z digest=sha256:9405e3ad883ef0953d8ebcc8037907c6ececc671ccb4a2926295119b4e920584

Observation 4c281ccf-2928-48c5-954b-562cb5d5e09c · outbound

This paper cites Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 8

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unresolved
no resolver link, observed 2026-08-06T22:40:10.132113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:10.132113Z digest=sha256:e98104dbf297243e4c183c2a0b3fef96ba35a4770c2635ca48074c68d4c576a4

Observation abb3d1c3-0eb7-4460-9156-cd459bc3e6f4 · outbound

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

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Multimodal trajectory prediction conditioned on lane-graph traversals

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 81192320-e068-4305-9842-76cb3617a56e · outbound

This paper cites Macformer: Map-agent coupled transformer for real-time and robust trajectory prediction.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Macformer: Map-agent coupled transformer for real-time and robust trajectory prediction

Reference 10

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:10.701750Z digest=sha256:bd8ebb682711e09bdbf900378b9d3e6192f4ab2c6d00615c9f7f39e2faf8ad34

Observation d8a3d24e-e553-4be8-8577-51c5c5e953a5 · outbound

This paper cites A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models

Reference 11

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no resolver link, observed 2026-08-06T22:40:10.706727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:10.706727Z digest=sha256:89e9d7019215b5f4f1d628fde9549d855dc53ac1ac5c56af25f9c2ffab4785bb

Observation 6246f6d4-bbfe-4e71-bb86-9075cc3b8e24 · outbound

This paper cites Guided cost learning: Deep inverse optimal control via policy optimization.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Guided cost learning: Deep inverse optimal control via policy optimization

Reference 12

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raw_fallback, observed 2026-08-06T22:40:19.966071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:10.786306Z digest=sha256:5144da357e587696e9cd38edae9dfb2ce4707d886c192cfa37ab7e7a34064fde

Observation 3d488695-b870-40a0-821a-35f6a7bebcef · outbound

This paper cites Learning robust rewards with adverserial inverse reinforcement learning.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Learning robust rewards with adverserial inverse reinforcement learning

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:10.879649Z digest=sha256:e7e0c0264f845603eae2778e5895cf168fbafe6a1150c6a571915c11a9bb23c1

Observation eea28c49-f6a4-4c51-a252-647088f4f711 · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized representation.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Vectornet: Encoding hd maps and agent dynamics from vectorized representation

Reference 14

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raw_fallback, observed 2026-08-06T22:40:19.479900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:10.980762Z digest=sha256:9074ce69333f1fb679d553a430685918f4aad8b89f286efa9fa04f7481049db9

Observation f304fda3-0487-424c-b819-6502f05004d0 · outbound

This paper cites Dynamic scenario representation learning for motion forecasting with heterogeneous graph convolutional recurrent networks.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Dynamic scenario representation learning for motion forecasting with heterogeneous graph convolutional recurrent networks

Reference 15

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:11.046861Z digest=sha256:6812b5f4a43ba6a8b3339515777ceff970a5bd04f28ab1ec855edeb38810e2c3

Observation 55671d20-1272-4b5d-9f57-d1f289b41922 · outbound

This paper cites Home: Heatmap output for future motion estimation.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Home: Heatmap output for future motion estimation

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0dd07500-a53e-4004-9faf-02853e7ea168 · outbound

This paper cites Thomas: Trajectory heatmap output with learned multi-agent sampling.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Thomas: Trajectory heatmap output with learned multi-agent sampling

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c69e88e8-f263-4fe1-8fd2-1dec5578a8a4 · outbound

This paper cites Gohome: Graph-oriented heatmap output for future motion estimation.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Gohome: Graph-oriented heatmap output for future motion estimation

Reference 18

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:11.227272Z digest=sha256:6fa7fc1ff98d3b98f68e42cc701c5c3f14bc8b545d6864b05a451b37e50bd95f

Observation 9656f21e-cdf4-4ac4-9936-2fe43f1e3bac · outbound

This paper cites A., Kahou, S.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction A., Kahou, S

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c65f2202-79ca-431d-a386-287bb6a911cb · outbound

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

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Densetnt: End-to-end trajectory prediction from dense goal sets

Reference 20

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:11.406627Z digest=sha256:2213dd9c5eea63c18e9efcbf4fd60e5610ef14f0b8edeb8280aa781927a3ec03

Observation dddc2277-d794-4bb1-bfe6-2a9f4178f32e · outbound

This paper cites End-to-end trajectory distribution prediction based on occupancy grid maps.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction End-to-end trajectory distribution prediction based on occupancy grid maps

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:11.497564Z digest=sha256:4c286bc49855998fd60f8748c034aa8360302136b58a075c7cf699dd5946b9eb

Observation dc699225-8d10-43c3-8a58-241da6a3c9ee · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial networks.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Social gan: Socially acceptable trajectories with generative adversarial networks

Reference 22

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5bbdf4ec-e69b-49f3-8f3e-b90795909ce2 · outbound

This paper cites an unresolved cited work.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cfba6dd5-9cfa-4f60-8275-424181796bac · outbound

This paper cites and Ermon, S.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction and Ermon, S

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:11.725080Z digest=sha256:f204a1cc823266e63d53f24e2beebe1ac4d1a38dff36d8b517067c301caf3d3b

Observation c646fdb0-e098-4f8d-8cd0-fd9ce41a4fd9 · outbound

This paper cites Vision-based Multi-future Trajectory Prediction: A Survey.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Vision-based Multi-future Trajectory Prediction: A Survey

Reference 25

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no resolver link, observed 2026-08-06T22:40:11.818864Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:11.818864Z digest=sha256:f29c63340835af412ab71eb355a606829997668ae6e58df0ff401923aba3b410

Observation f5fb30b2-c76f-460d-b7fe-7285fad595f6 · outbound

This paper cites Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T22:40:17.557720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:11.870432Z digest=sha256:a9c8c1d197ff49d2500b8e14aa57fe92c6babf99a0b5da8b3e928e71d2fb3c4c

Observation 1f2e5c1a-2547-48c2-9944-7ad58524b259 · outbound

This paper cites Multimodal deep generative models for trajectory prediction: A conditional variational autoencoder approach.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Multimodal deep generative models for trajectory prediction: A conditional variational autoencoder approach

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T22:40:17.419396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:11.957787Z digest=sha256:851a46688147e8044d7abe4a09f7cb14cc7feba13883e158a12a5738df8330b4

Observation 6c77040e-a5d7-4965-b86a-0721fd8027b4 · outbound

This paper cites M., Ziebart, B.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction M., Ziebart, B

Reference 28

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raw_fallback, observed 2026-08-06T22:40:17.276014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.024188Z digest=sha256:821690adb8645c39ce1c599f77e80180b4c27ee13018b54fb368ec8439edfbf8

Observation 377c3464-1e33-4028-8712-1fc29aa77a1f · outbound

This paper cites Socially compliant mobile robot navigation via inverse reinforcement learning.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Socially compliant mobile robot navigation via inverse reinforcement learning

Reference 29

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raw_fallback, observed 2026-08-06T22:40:17.086891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.108754Z digest=sha256:d0df129ccb750ad4d9ad9896a7489fc4e50252a09ec8baac023c52c37b807b53

Observation e7571dc8-fa5e-48cb-b5b1-021513b5c070 · outbound

This paper cites SEPT: Towards Efficient Scene Representation Learning for Motion Prediction.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

Reference 30

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no resolver link, observed 2026-08-06T22:40:12.191325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:12.191325Z digest=sha256:3361ad86d509aeae787b7d0e2df422c4f0afae86f53d326888894b51b5a8b3de

Observation c4d21d23-e638-4103-840d-245fe3b293bc · outbound

This paper cites Learning lane graph representations for motion forecasting.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Learning lane graph representations for motion forecasting

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:16.911679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.275772Z digest=sha256:d00a5a08a569e91b7c14821a29ae120bb10afbd8b1ab0f110408c45ba1a160a0

Observation b6c64fdd-e9f3-4ea3-8beb-6e6c0b48b170 · outbound

This paper cites Feature pyramid networks for object detection.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Feature pyramid networks for object detection

Reference 32

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raw_fallback, observed 2026-08-06T22:40:16.756970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.321079Z digest=sha256:6f9989b455a079a1d0297576bb59f005cd6d86ac309d8b2f05bc2e3b1e0a197a

Observation 85cd4b5f-4ba1-4358-963b-97421214a8fb · outbound

This paper cites Wayformer: Motion Forecasting via Simple & Efficient Attention Networks.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:12.398917Z digest=sha256:5cae55ace5e229d8eb5cf5c2e11c3e026312956e5572b9645c891ea0a98695d1

Observation d10fb671-c540-4327-bb1b-e20dd4ea606c · outbound

This paper cites an unresolved cited work.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-06T22:40:16.578290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.461225Z digest=sha256:5712f478dab836faa8ad0024a0e3638d848341bfc7908353c7653b52bdfb23cb

Observation ea724cf7-f1a2-4dd5-aff5-d51cee4cd3c3 · outbound

This paper cites A., Abbeel, P., Peters, J., et al.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction A., Abbeel, P., Peters, J., et al

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:16.432649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.564892Z digest=sha256:b3ce657ed26c7c02a45c9d471ff4d4b87c2e17f12c0c4629f67056563622a759

Observation b2e2750f-ab30-43fc-9132-3da5877dd8ee · outbound

This paper cites R., Su, H., Mo, K., and Guibas, L.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction R., Su, H., Mo, K., and Guibas, L

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:16.262132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.614773Z digest=sha256:57fbf88bf53c7ce5979f299c2e359137c08147a944c386f71af1e54061fee11d

Observation c7bae64d-a5ed-41ba-bd63-f11142dbce15 · outbound

This paper cites Scene compliant trajectory forecast with agent-centric spatio-temporal grids.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Scene compliant trajectory forecast with agent-centric spatio-temporal grids

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:16.085434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.668462Z digest=sha256:377d5a5e21b7b461bb5ee8db05930ce7058a0d3f553cad60c7f81dda578a2eef

Observation 03a28527-9963-4e6f-b1bb-28ecced5ebb1 · outbound

This paper cites Motion transformer with global intention localization and local movement refinement.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Motion transformer with global intention localization and local movement refinement

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T22:40:12.745999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:12.745999Z digest=sha256:e8ea5178cb18b007575e38a30ede40c4524978a9289def26363c0ab0ce8908aa

Observation 071ad481-8329-4223-9e4e-2b1ec83e9e80 · outbound

This paper cites Y., and Chen, Q.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Y., and Chen, Q

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:15.956885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.794184Z digest=sha256:e820ede5b1a9515d6ddffbb9b3963fb7bf25ae9cd97c8b47008b9f6b020d4d90

Observation 19e39a88-f95f-475e-ba52-bf2c7958eb68 · outbound

This paper cites S., Nayakanti, N., Cornman, A., Chen, K., Douillard, B., Lam, C.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction S., Nayakanti, N., Cornman, A., Chen, K., Douillard, B., Lam, C

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:15.834127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.859203Z digest=sha256:54b4d0c5ed8bfab79d2fd2d5c6db820e86579e82278e3b8189a4070a48db7740

Observation 8a7f7165-8833-4825-a1d7-8229c83f34a2 · outbound

This paper cites Attention is all you need.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Attention is all you need

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:15.719670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:12.960116Z digest=sha256:bde310070230d668cc41bec5619cf64fe087346dc73e25e128de031e3a950bf4

Observation 43aa22b8-2756-48ed-9496-4cd540e98697 · outbound

This paper cites Ganet: Goal area network for motion forecasting.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Ganet: Goal area network for motion forecasting

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:15.606040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.043248Z digest=sha256:823e905dbd4e82ddca9ad30927b53a0b36099dd5e18c0ede32cc3ba85d9c16f3

Observation 49f60ca4-ef76-4e75-8987-02500a94c26e · outbound

This paper cites Z., Ondruska, P., and Posner, I.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Z., Ondruska, P., and Posner, I

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:15.473109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.139068Z digest=sha256:d5dd538ab1308b06ced04e53a6a470bb5cb17ebbf929cc81311e8204d84e7f9c

Observation fca8e941-db69-48b8-a672-395b9700b8c6 · outbound

This paper cites Improving out-of-distribution generalization of trajectory prediction for autonomous driving via polynomial representations.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Improving out-of-distribution generalization of trajectory prediction for autonomous driving via polynomial representations

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:15.363774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.177645Z digest=sha256:cdd374ff6b2ae9ccb6ff4a3df6f4511d0bc32765aa3a6b99f6031a6ecd11655c

Observation 866fcb5f-64c8-47ec-94a1-2abf08464f8c · outbound

This paper cites an unresolved cited work.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:40:15.262069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.253516Z digest=sha256:c59398391724113f8e38e06c8e888641b48a8bbc792dbf090feeb9e91cf95ff6

Observation 9acf3c1b-bbce-4ee8-b59d-15ae2307f291 · outbound

This paper cites Tpcn: Temporal point cloud networks for motion forecasting.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Tpcn: Temporal point cloud networks for motion forecasting

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:15.153524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.302149Z digest=sha256:6b36140fb02c5d139f572431dea3610d6955c326cc730604a9cda3ed28db4501

Observation 0db2fe53-e2bd-460d-8a4b-c66f4db73a73 · outbound

This paper cites Meta-inverse reinforcement learning with probabilistic context variables.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Meta-inverse reinforcement learning with probabilistic context variables

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:14.994843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.371703Z digest=sha256:f88d5b015ff7d216f512acf42dee7716c149dba3bf653ed40fbcbb1e9772ba4c

Observation 2b69d6f4-0675-4f0b-9095-2ec7de930a27 · outbound

This paper cites End-to-end interpretable neural motion planner.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction End-to-end interpretable neural motion planner

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:14.881710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.437229Z digest=sha256:bd69f65f9be7746762fc0253b8614520abf1a8c35f9ff57bcd9754359af90313

Observation 5f2cdeb5-3b2a-4d25-81ac-08da941b4b94 · outbound

This paper cites Lanercnn: Distributed representations for graph-centric motion forecasting.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Lanercnn: Distributed representations for graph-centric motion forecasting

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:14.782376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.489200Z digest=sha256:df796079f1ae64fc2c83dbd1737ae8187ed51ec13d7ad16616b1f95ef806831f

Observation 2e241433-bf5d-42fd-ae2f-07165346a83e · outbound

This paper cites Trajectory prediction with graph-based dual-scale context fusion.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Trajectory prediction with graph-based dual-scale context fusion

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:14.646345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.524785Z digest=sha256:3105659c7cddee6dc490cb9576a99a9e30051f9ee66a42e4dbefd8aba02ce346

Observation f6cd2602-0933-443a-950f-671f8ece6115 · outbound

This paper cites Simpl: A simple and efficient multi-agent motion prediction baseline for autonomous driving.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Simpl: A simple and efficient multi-agent motion prediction baseline for autonomous driving

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:14.546227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.566464Z digest=sha256:aa619a521140c72be324eb8c6909d5d5765d0c54712a8fc92d0e4b0517b90ced

Observation 5a893ef7-0768-4707-8d9c-8a5101e383d4 · outbound

This paper cites Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:14.442996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.600476Z digest=sha256:b2b12fe4f6bc45120426b6457f10711d66a034dcb9d3b913ae6c5b104c59e2fe

Observation e6e95fa2-1462-4826-8172-13a38a009236 · outbound

This paper cites Hivt: Hierarchical vector transformer for multi-agent motion prediction.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Hivt: Hierarchical vector transformer for multi-agent motion prediction

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:14.305939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.646792Z digest=sha256:ab1a4c52c153de60c83d072d6f5c667cd461942c6024d0c9498aeb6fc8bcb666

Observation e9a0af45-568d-4fe1-876f-770ea9f272be · outbound

This paper cites Query-centric trajectory prediction.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Query-centric trajectory prediction

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:14.221993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.683538Z digest=sha256:84a0d65ce9454e85569030dcef5dcb7de52a31dc32b6ab4d43e85c5a51c226ae

Observation a5c6b502-d171-4b13-9c4b-b04b8b395d76 · outbound

This paper cites D., Maas, A.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction D., Maas, A

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:14.124794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.738407Z digest=sha256:b2cd50bb9031c5f5558fb007335c43445b4a3e96e4e39288c21cc93ccc3a701f

Observation 0a010175-7762-42c3-a9cf-2fa8b1bd689c · outbound

This paper cites D., Ratliff, N., Gallagher, G., Mertz, C., Peterson, K., Bagnell, J.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction D., Ratliff, N., Gallagher, G., Mertz, C., Peterson, K., Bagnell, J

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:40:14.007049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:40:13.786119Z digest=sha256:581e5cfa8eec44d4001f1b0ccc94e44aea80bcb7ecfd06be3b029ed67fb2b83c

Pith citing papers

No inbound Pith citation observations are available.