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Paper Citation Record · LEDGER

DeMo++: Motion Decoupling for Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 1 inbound Pith citation observation for arXiv:2507.17342.

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

pith.paper-citation-record.v1
2507.17342 v2

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:55:03.237693Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:26:36.435387Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:37.631186Z

Reference resolution

100 of 107 outbound references displayed

  • verified exact1
  • verified fuzzy61
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c474ae76-4d1b-42f3-8cab-0f5ab7de3d59 · outbound

This paper cites A survey on trajectory-prediction methods for autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving A survey on trajectory-prediction methods for autonomous driving,

Reference 1

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source=pdf_text observed=2026-08-06T14:55:02.336080Z digest=sha256:208f8983d91129c08f014082fb8b79ccfad69583a2283316f086c83c791730b4

Observation d52adc44-aee2-4234-8b85-3c854289ef38 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

DeMo++: Motion Decoupling for Autonomous Driving Scalability in perception for autonomous driving: Waymo open dataset,

Reference 2

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source=pdf_text observed=2026-08-06T14:55:02.346472Z digest=sha256:5cbcf92b399078c2afe4c18e0f135f7a3d415d0472be4f3f47398a5eb1533535

Observation fb095283-fc43-4594-94b6-cdb723ab3d5f · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting,.

DeMo++: Motion Decoupling for Autonomous Driving Argoverse 2: Next generation datasets for self-driving perception and forecasting,

Reference 3

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Observation 22f5afb0-e67e-4e04-a480-57a974675155 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Carla: An open urban driving simulator,

Reference 4

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source=pdf_text observed=2026-08-06T14:55:02.361898Z digest=sha256:7e22577b1f204b4596c4eb1354bca8364417cc59aa62be918336e87224e00260

Observation 0cec8b34-c544-445f-b1b8-68f31859623c · outbound

This paper cites Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking,.

DeMo++: Motion Decoupling for Autonomous Driving Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking,

Reference 5

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source=pdf_text observed=2026-08-06T14:55:02.373319Z digest=sha256:b51a8b7228a81f58c0ecd65701f2eca1c5e0fc574cfa2e17a887fbf998830d14

Observation 09551cf8-0a9a-4d49-8a25-6cd80a21d315 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 6

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source=pdf_text observed=2026-08-06T14:55:02.380951Z digest=sha256:7eac03881b979c778b8e697022f7d5f7fdb50842e090dbec9a0b361515b56a84

Observation ab79f508-f805-47a3-9ea2-52eb15f1a60d · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Vectornet: Encoding hd maps and agent dynamics from vectorized representation,

Reference 7

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source=pdf_text observed=2026-08-06T14:55:02.390940Z digest=sha256:09dd2770481d40d982599f345e8f62d3fec672b32ffbd6817ddbd805c65aded5

Observation 79563bc7-3782-4d44-baa0-ccff841e0d72 · outbound

This paper cites Learning lane graph representations for motion forecasting,.

DeMo++: Motion Decoupling for Autonomous Driving Learning lane graph representations for motion forecasting,

Reference 8

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source=pdf_text observed=2026-08-06T14:55:02.397732Z digest=sha256:288a6df8a6ff78a9d9be48b34e7ef4427a16cd4da813b15956e770e184eabb75

Observation aeaa35b2-5933-4386-a4af-b7829d7c43c0 · outbound

This paper cites Scene transformer: A unified architecture for predicting future trajectories of multiple agents,.

DeMo++: Motion Decoupling for Autonomous Driving Scene transformer: A unified architecture for predicting future trajectories of multiple agents,

Reference 9

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source=pdf_text observed=2026-08-06T14:55:02.404326Z digest=sha256:cd7cdd07d37af00333874eab90755df7cb0faae17e085fe120cb1ddb058f906e

Observation 707205a2-75d4-420c-bab4-dbe3301270a1 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Rethinking imitation-based planners for autonomous driving,

Reference 10

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source=pdf_text observed=2026-08-06T14:55:02.410467Z digest=sha256:645b0786d65c4c453e42459404545ea1dc2159d55d23092b8b9fbc834387c81e

Observation e94122ff-fdcc-4f52-a5f7-415cada3d83b · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Densetnt: End-to-end trajectory prediction from dense goal sets,

Reference 11

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source=pdf_text observed=2026-08-06T14:55:02.421043Z digest=sha256:60d1a6390a975c1eab62f2ae06ce2d2619b6536c976cbecaa7f81238b6a5040a

Observation 6d4ee5cb-6c45-449e-b976-bdff9a528db1 · outbound

This paper cites Eda: Evolving and distinct anchors for multimodal motion prediction,.

DeMo++: Motion Decoupling for Autonomous Driving Eda: Evolving and distinct anchors for multimodal motion prediction,

Reference 12

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source=pdf_text observed=2026-08-06T14:55:02.427222Z digest=sha256:54f596508a1765c5678782b85c91bc085223663b90a6714810e83b929ef2f8b6

Observation 07577687-b4bb-4950-b434-3bf401825d24 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Motion transformer with global intention localization and local movement refinement,

Reference 13

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source=pdf_text observed=2026-08-06T14:55:02.442709Z digest=sha256:82af214d7524bb0bf0d422fb1b46a1403a63f3dc9c5d2394accbc1b763024ad9

Observation 96638ca8-a8c0-4e2e-9bed-c8e4196bbdb6 · outbound

This paper cites Query-centric trajectory prediction,.

DeMo++: Motion Decoupling for Autonomous Driving Query-centric trajectory prediction,

Reference 14

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source=pdf_text observed=2026-08-06T14:55:02.458339Z digest=sha256:dd5bda4fe34bc4016cba448559d1f5f52e6fa51ccfb1fe2aec0b5ecfc8ee20bc

Observation 185d5b83-b29b-4ef0-b7f0-1ae381b5795b · outbound

This paper cites Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving,

Reference 15

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source=pdf_text observed=2026-08-06T14:55:02.468695Z digest=sha256:a84087aad90f1862f3d6e1c3602b18c4c5ce2ef80cedb1342a018ddb02dc86a1

Observation 49b13cc5-4c47-42a8-81ab-c534736bdea4 · outbound

This paper cites Goalflow: Goal-driven flow matching for multimodal trajectories generation in end-to-end autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Goalflow: Goal-driven flow matching for multimodal trajectories generation in end-to-end autonomous driving,

Reference 16

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source=pdf_text observed=2026-08-06T14:55:02.477579Z digest=sha256:87c00d3de5e97beff3175241d4ba08d948f90840ffac86b9a17f52fb700c2d3e

Observation 3d07ae20-21c3-4ab9-a63f-26cd8df1f17f · outbound

This paper cites Diffusion-based planning for au- tonomous driving with flexible guidance,.

DeMo++: Motion Decoupling for Autonomous Driving Diffusion-based planning for au- tonomous driving with flexible guidance,

Reference 17

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source=pdf_text observed=2026-08-06T14:55:02.486478Z digest=sha256:d59b061bf0a1076f1dd157e5a70e66d3e3c5817fda00c9fa0350095689c15c7d

Observation 418c82a2-41a8-4b55-b048-59419be41cca · outbound

This paper cites Reasoning multi-agent behavioral topology for interactive autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Reasoning multi-agent behavioral topology for interactive autonomous driving,

Reference 18

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source=pdf_text observed=2026-08-06T14:55:02.492483Z digest=sha256:6043214b26e150790e99e89e7b88673b867af71629f09b929e8c91d5393d61f3

Observation 4290869c-d985-4d65-a436-d7bc3d01cf8a · outbound

This paper cites End-to-end object detection with transformers,.

DeMo++: Motion Decoupling for Autonomous Driving End-to-end object detection with transformers,

Reference 19

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source=pdf_text observed=2026-08-06T14:55:02.501832Z digest=sha256:7edc6bff1215be8861e3d36b09e3c9cb28312aa99713dc758396f0953f6c5799

Observation 2fbb8f8f-edde-41e0-bdb2-4666e3e874ea · outbound

This paper cites Dab-detr: Dynamic anchor boxes are better queries for detr,.

DeMo++: Motion Decoupling for Autonomous Driving Dab-detr: Dynamic anchor boxes are better queries for detr,

Reference 20

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source=pdf_text observed=2026-08-06T14:55:02.508248Z digest=sha256:ca292c9aaad3d9df4690fcb439735e647625168e46cd807e09d5c7659266a80f

Observation b3f1317b-7419-47c3-a937-b96a0380af0f · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

DeMo++: Motion Decoupling for Autonomous Driving Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 21

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source=pdf_text observed=2026-08-06T14:55:02.518444Z digest=sha256:cc38845865724434f0c7b4c4ab9f051ff564da416045e4df80cb7a4bf86d00c9

Observation a345e2c7-93ef-49a5-b4ca-104ecd301ae2 · outbound

This paper cites Demo: Decoupling motion fore- casting into directional intentions and dynamic states,.

DeMo++: Motion Decoupling for Autonomous Driving Demo: Decoupling motion fore- casting into directional intentions and dynamic states,

Reference 22

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source=pdf_text observed=2026-08-06T14:55:02.538584Z digest=sha256:b29a7ea69cfcd3ed8bf81ff8b89147a31a4d766c233bcc717d8c5e0114c108c6

Observation a6addd12-4fc9-4d73-9724-ee2d3063627d · outbound

This paper cites Motion forecasting in continuous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Motion forecasting in continuous driving,

Reference 23

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source=pdf_text observed=2026-08-06T14:55:02.550834Z digest=sha256:e876073444ea7c21d93ef9e25b234611094ada5f84e18e49e41903124a0b7145

Observation e91035fb-ceab-415d-ba7c-3468ec23dc2a · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction,

Reference 24

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source=pdf_text observed=2026-08-06T14:55:02.555613Z digest=sha256:ffeecae8bd7d1d7cbb5912155e8feac0f16d032ef8ed99cfaa573efedf344dd8

Observation f98b7052-9247-46c4-ad43-00d7ff2a3593 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Home: Heatmap output for future motion estimation,

Reference 25

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source=pdf_text observed=2026-08-06T14:55:02.561431Z digest=sha256:31fd4368dddbad5b9bfc5165fc0c205f6512431d376080ab6a61822a0721e9fa

Observation 8890ade9-e209-473f-bf1f-92c9cc76611a · outbound

This paper cites Covernet: Multimodal behavior prediction using trajectory sets,.

DeMo++: Motion Decoupling for Autonomous Driving Covernet: Multimodal behavior prediction using trajectory sets,

Reference 26

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source=pdf_text observed=2026-08-06T14:55:02.568372Z digest=sha256:48ee6596bf73e1ba7b48be1eb706f16183d463da677d33ebe40ca9f757ba24d5

Observation d4a65f2f-9a14-442f-9963-da8323701a76 · outbound

This paper cites Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,.

DeMo++: Motion Decoupling for Autonomous Driving Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,

Reference 27

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source=pdf_text observed=2026-08-06T14:55:02.577628Z digest=sha256:24c82439acadebe1cb25608b591a258218a6ba7ccc21bca32fdd48c1ba3dd738

Observation 70c4ab59-4e38-40b0-bc47-ba60953bfa4e · outbound

This paper cites Tnt: Target-driven trajectory prediction,.

DeMo++: Motion Decoupling for Autonomous Driving Tnt: Target-driven trajectory prediction,

Reference 28

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source=pdf_text observed=2026-08-06T14:55:02.588678Z digest=sha256:2a44e3eb21a9f2eb6f798e00c4507adc4bdb48065847dfb9acfd1a1e627f7a66

Observation 8fe38603-85f7-4612-98de-247beb5e03ac · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Hierarchical vector transformer for multi-agent motion prediction,

Reference 29

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source=pdf_text observed=2026-08-06T14:55:02.598660Z digest=sha256:8b779c51f8d53474dd634b5732d06b794b8700b9b207f53c901bc1e64bba55d1

Observation 9bd77cc6-8629-438c-b08a-d652592fbb99 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Multimodal trajectory prediction conditioned on lane-graph traversals,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 076b5db5-99cc-418c-a258-da7c0b735fea · outbound

This paper cites Gohome: Graph-oriented heatmap output for future motion estima- tion,.

DeMo++: Motion Decoupling for Autonomous Driving Gohome: Graph-oriented heatmap output for future motion estima- tion,

Reference 31

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Observation 7a311228-99ad-4545-bc67-cb05116862c2 · outbound

This paper cites Multi-agent trajectory prediction by combining egocentric and allocentric views,.

DeMo++: Motion Decoupling for Autonomous Driving Multi-agent trajectory prediction by combining egocentric and allocentric views,

Reference 32

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source=pdf_text observed=2026-08-06T14:55:02.618572Z digest=sha256:3f909e6d53f568284fc5eca3a10322260cd0e2d539010eafec74c460a04195d5

Observation cffd8c94-8726-4fed-acf2-eb1fa8d4875b · outbound

This paper cites Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding,.

DeMo++: Motion Decoupling for Autonomous Driving Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding,

Reference 33

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Observation ad3c700f-28c3-4136-838b-151d5e431270 · outbound

This paper cites Fjmp: Factor- ized joint multi-agent motion prediction over learned directed acyclic interaction graphs,.

DeMo++: Motion Decoupling for Autonomous Driving Fjmp: Factor- ized joint multi-agent motion prediction over learned directed acyclic interaction graphs,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.632659Z digest=sha256:490aa0dc33f017a4174e0031321e51d4d15323943fb6b490d3ffd930f6da7f49

Observation aa61d12b-759a-405a-b998-ef0a52f2df60 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Lanercnn: Distributed representations for graph-centric motion forecasting,

Reference 35

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source=pdf_text observed=2026-08-06T14:55:02.640364Z digest=sha256:a6a0df48d41affe22695e1ad45c50c0aaefbef673b5d5bbd270f63ca2ff07385

Observation 3404409f-594b-4ff0-b7ad-e4c4fadd743e · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Trajectory prediction with graph-based dual-scale context fusion,

Reference 36

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source=pdf_text observed=2026-08-06T14:55:02.652407Z digest=sha256:2fecb4eb80b3462c50b3f01eac2d8823882a132366caa021d54c21c51b146775

Observation bd1addc5-cd0f-4878-873e-4db874cfdfc5 · outbound

This paper cites Multimodal motion prediction with stacked transformers,.

DeMo++: Motion Decoupling for Autonomous Driving Multimodal motion prediction with stacked transformers,

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.660692Z digest=sha256:092a620ffe0471a84eea1a415ced7a3da57961ac7ee388269f8053fefc56b3d7

Observation 2779e402-ae53-413b-a813-07ef31286432 · outbound

This paper cites Wayformer: Motion forecasting via simple & efficient attention networks,.

DeMo++: Motion Decoupling for Autonomous Driving Wayformer: Motion forecasting via simple & efficient attention networks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.408940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.670656Z digest=sha256:97da193d08cabcc98bf1fa2a585b22cc31b092597b6cb3666914cccfc8662818

Observation beaa5a5d-600c-468c-83d5-296051c02910 · outbound

This paper cites Real-time motion prediction via heterogeneous polyline transformer with relative pose encoding,.

DeMo++: Motion Decoupling for Autonomous Driving Real-time motion prediction via heterogeneous polyline transformer with relative pose encoding,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.377025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.678494Z digest=sha256:a2d9f4c938f7ddb69d29c17f9cc5d12ae28e93dad0bb63b2ef5ac3fd1e79e7e3

Observation e4a0eba0-f6ca-46f3-be9f-346e9f918ede · outbound

This paper cites Attention is all you need,.

DeMo++: Motion Decoupling for Autonomous Driving Attention is all you need,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:02.691596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:02.691596Z digest=sha256:dfa6cdd345e5ed3f7d316c9408d29b31edf0bc79de343a31856620f434515a46

Observation 2ef25a1d-7080-416a-9422-e2e2b0967805 · outbound

This paper cites Traj-mae: Masked autoencoders for trajectory prediction,.

DeMo++: Motion Decoupling for Autonomous Driving Traj-mae: Masked autoencoders for trajectory prediction,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.310354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.700029Z digest=sha256:d6535bcaf29099ba257b1d73af1e27e5db2032a1303d755650bafaf1a704e3f8

Observation 58eb2aab-5b56-4920-a4d0-c7335a76f675 · outbound

This paper cites Forecast-mae: Self-supervised pre- training for motion forecasting with masked autoencoders,.

DeMo++: Motion Decoupling for Autonomous Driving Forecast-mae: Self-supervised pre- training for motion forecasting with masked autoencoders,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.284901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.705873Z digest=sha256:d14613314e74403c359d75c215d613870e3639252ba4492db9dec3ac8bec5ef8

Observation c87b7f1c-f48a-403f-9a77-15796f155326 · outbound

This paper cites Sept: Towards efficient scene representation learning for motion prediction,.

DeMo++: Motion Decoupling for Autonomous Driving Sept: Towards efficient scene representation learning for motion prediction,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.257226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.711442Z digest=sha256:3f7ff61e5ba0639fd15379a7d3e4c4855678c6a0bcf0a3e665a37df26f52796b

Observation 7551a7ea-82cd-4d93-8f9f-510fd627353b · outbound

This paper cites T4p: Test- time training of trajectory prediction via masked autoencoder and actor- specific token memory,.

DeMo++: Motion Decoupling for Autonomous Driving T4p: Test- time training of trajectory prediction via masked autoencoder and actor- specific token memory,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.226806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.718517Z digest=sha256:052ec60ad513570cf061d12c5c6802410e4fd001d69cd71419049f92fbf53b67

Observation 308442a3-6bc8-4a2c-a353-26828b3a27a2 · outbound

This paper cites Hpnet: Dynamic trajectory forecasting with historical prediction attention,.

DeMo++: Motion Decoupling for Autonomous Driving Hpnet: Dynamic trajectory forecasting with historical prediction attention,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.191465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.726554Z digest=sha256:d72e38463a53974235d15037d6c4e660632c835e8546987884a77c41a94bb5d7

Observation fa86b887-920c-4fcc-b520-d27a711d63fc · outbound

This paper cites Trajeglish: Learning the lan- guage of driving scenarios,.

DeMo++: Motion Decoupling for Autonomous Driving Trajeglish: Learning the lan- guage of driving scenarios,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.157886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.733734Z digest=sha256:b4814b2ae69a16e6b134e2e90add24a6f128d921266fd4b476af49e63421608a

Observation 54a3c6ed-4f10-4135-95a4-026f879e5341 · outbound

This paper cites Motionlm: Multi-agent motion forecasting as language modeling,.

DeMo++: Motion Decoupling for Autonomous Driving Motionlm: Multi-agent motion forecasting as language modeling,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.126292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.744368Z digest=sha256:aef4992cbf69b5470532ec5a93f9474f4db473995e990c0e23d2911df6f76946

Observation a58cb99e-98b0-42ad-9be0-7aefcf526f87 · outbound

This paper cites R-pred: Two-stage motion prediction via tube-query attention-based trajectory refinement,.

DeMo++: Motion Decoupling for Autonomous Driving R-pred: Two-stage motion prediction via tube-query attention-based trajectory refinement,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.101669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.759213Z digest=sha256:1444ff72f6d1ca0fcc2a54f5939c492693432f12f1a31bc26510622b207181ea

Observation e5b5c99a-c6ed-4d2c-8005-2c33dd1e3927 · outbound

This paper cites Smartrefine: A scenario-adaptive refinement framework for efficient motion prediction,.

DeMo++: Motion Decoupling for Autonomous Driving Smartrefine: A scenario-adaptive refinement framework for efficient motion prediction,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.070708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.774350Z digest=sha256:7515656af2202f2743f4bcfeb66fa0875c503c6d2285c0595e79c0d424e7b1aa

Observation c18ce579-9ede-4be3-9d02-acf8a6a1c19a · outbound

This paper cites THOMAS: Trajectory heatmap output with learned multi-agent sam- pling,.

DeMo++: Motion Decoupling for Autonomous Driving THOMAS: Trajectory heatmap output with learned multi-agent sam- pling,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.037745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.784421Z digest=sha256:54be07e7b13e37678323ce97b15ee1e3094bc1b31d095e096c2716809562eb79

Observation 8f36b6a9-d085-44c2-90ff-91f4a43875d6 · outbound

This paper cites Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention query- ing,.

DeMo++: Motion Decoupling for Autonomous Driving Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention query- ing,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:05.015651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.795926Z digest=sha256:e546700ea67fc49b4f8f8d492f14c21a22b45823794cb9221a63d933c102a68c

Observation 9271fba4-fe3f-4bbf-b106-93c43c52a7e3 · outbound

This paper cites QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction.

DeMo++: Motion Decoupling for Autonomous Driving QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:02.805329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:02.805329Z digest=sha256:d169763295259c4d1d81f192e7822968b5d47040baf599cf29829c232df2d283

Observation e9852468-241b-46e7-a02e-0f54d29c3bf8 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Argoverse: 3d tracking and forecasting with rich maps,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.977343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.811369Z digest=sha256:9ca07ddf4c80970a9646dc8e17e42a91680de7526857b0b4b441e9fe5a1a4de0

Observation 0af33e10-ac6c-48c0-9ccf-e8795f61e4cb · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving nuscenes: A multimodal dataset for autonomous driving,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.957127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.817217Z digest=sha256:dc562a8b2f527920ee49f2db3d29f51bb6d552447093ff620968a3defb75f7cf

Observation 2fed3e0d-68b7-4975-9f4f-901ab3b02933 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Congested traffic states in empirical observations and microscopic simulations,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:02.825437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:02.825437Z digest=sha256:d959b81ebaac482e5b765cdcd2d5bc3f0a6ff790d5be8586b438ad6ce9deea28

Observation a9d9d7e8-e7fa-407f-b9d4-921c3ed08d1b · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Parting with misconceptions about learning-based vehicle motion planning,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:02.834945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:02.834945Z digest=sha256:fa6fde610b3108754765f0005a21b78848cf5ae5ad3a9186649abba81c0c3a1b

Observation 58385734-51fa-4c81-820b-596d9bdad225 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:02.842626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:02.842626Z digest=sha256:f6a9c9679d8b06d35c8c0e92bc4dcda1a615dbc9896719f735ee08d0c54b26d5

Observation 48c70fee-a7db-4fa7-9d65-99537f152351 · outbound

This paper cites Planning-oriented autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Planning-oriented autonomous driving,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.901823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.852721Z digest=sha256:ea75135b0b90e7e5f272fc16c5259bab27c031ac475428284e2178c416367c41

Observation c3d2b958-defd-47f6-a7a5-ec460af5b951 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Vad: Vectorized scene representation for efficient autonomous driving,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.871678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.860822Z digest=sha256:0aba2db67b388e6200760709f522784da357d11cf1385abc2396736225ae318e

Observation dec5e262-f8d1-4d1c-8994-3137d7363519 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Sparsedrive: End-to-end autonomous driving via sparse scene representation,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.846639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.869577Z digest=sha256:4c29c1751ad55ae3142caeb065ff7b95fb89525fde114b1942776cd9ee563e65

Observation 79d34542-df47-44ee-a801-68a65bd488ea · outbound

This paper cites Bridging past and future: End-to-end autonomous driving with historical prediction and plan- ning,.

DeMo++: Motion Decoupling for Autonomous Driving Bridging past and future: End-to-end autonomous driving with historical prediction and plan- ning,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.820644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.874488Z digest=sha256:0cb984052cd6bda0538af00a6504488ba2dfe95a0cdcee60e4eac46bd903b4d6

Observation 598749eb-4b7e-433d-b2dc-9614bc7cb015 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

DeMo++: Motion Decoupling for Autonomous Driving Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.790561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.879391Z digest=sha256:60a862e6d31e8e2fe8755c50e6f3d9ea87c5c87ea88e2b106e3ed664dac52611

Observation 6c520e03-5155-45a3-ab4e-7924714a12df · outbound

This paper cites Exploring object- centric temporal modeling for efficient multi-view 3d object detection,.

DeMo++: Motion Decoupling for Autonomous Driving Exploring object- centric temporal modeling for efficient multi-view 3d object detection,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.770639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.885967Z digest=sha256:6d7a540625d5d64cc7e10104d67bde7325702982cfdc8bfd18a5c10822f79566

Observation 5fd74ac8-efa7-4c56-8ef1-cb6afd9f10ab · outbound

This paper cites Trans- fuser: Imitation with transformer-based sensor fusion for autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Trans- fuser: Imitation with transformer-based sensor fusion for autonomous driving,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.748934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.892760Z digest=sha256:1cd44fe4e20955a00db9da1695aed67476787254bb13fbd2c453b0748445eb42

Observation 1b821a58-2e9f-4165-a472-ac920e2b690b · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.721526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.898948Z digest=sha256:d2315f5ead83200cc7565ff539a1c9951765ca0bd1d553c9cadd2d2670b5025b

Observation 580b485a-aa96-49af-a51a-96eeffcef6c9 · outbound

This paper cites Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.700403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.906648Z digest=sha256:ac85bd3b5d6a13033402bc8539f2176b1bae47df939c21f6327d3397cfe39e16

Observation a658b00f-4c47-4b70-991c-5f11e87c56fb · outbound

This paper cites Think twice before driving: Towards scalable decoders for end-to-end autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Think twice before driving: Towards scalable decoders for end-to-end autonomous driving,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.672430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.914414Z digest=sha256:996c0c588f25830eb3ff5a74ac063ee7e232d324ecf2a34164eb90fbf2912bbb

Observation 69d6d64f-95c1-49dd-9c72-fbeeba9cde00 · outbound

This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.

DeMo++: Motion Decoupling for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:02.927231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:02.927231Z digest=sha256:9a33beee7df578ffe91f1748187f8debbd54779194c6dab383e6cbc8fffccccf

Observation 71677bf1-1568-4507-aecb-04bd12359fcd · outbound

This paper cites Enhancing end-to-end autonomous driving with latent world model,.

DeMo++: Motion Decoupling for Autonomous Driving Enhancing end-to-end autonomous driving with latent world model,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.646610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.934572Z digest=sha256:474f78c199bcec4fe0fbe08b2b564451d622575617c06cb4fd90e1d5533773c4

Observation a54cbaf2-d6a5-486d-a0ff-962f461f6221 · outbound

This paper cites Navigation-guided sparse scene representation for end-to-end autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Navigation-guided sparse scene representation for end-to-end autonomous driving,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.623517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.950919Z digest=sha256:57a5a7dc340b819c782c48710f69ee1875674cea79f679ebc2990e8a201120a0

Observation bb6299e1-d0cc-4e05-9971-5dc7425cddda · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.589166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.957847Z digest=sha256:167685e1ee19e35faed939af1f96fba38af72a122453ae894430836466ade01d

Observation a4ed5742-7537-44f9-8427-eb4f9d63dfe8 · outbound

This paper cites Drivetransformer: Unified trans- former for scalable end-to-end autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Drivetransformer: Unified trans- former for scalable end-to-end autonomous driving,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.562032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.969493Z digest=sha256:c5967050df12a1c202933ed4933fb8f511e440d1438b9a187a7f1f1a02895bd7

Observation 74cf2ab4-337e-4efe-81b0-0e02e4902b59 · outbound

This paper cites Hungry hungry hippos: Towards language modeling with state space models,.

DeMo++: Motion Decoupling for Autonomous Driving Hungry hungry hippos: Towards language modeling with state space models,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.540438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.984133Z digest=sha256:eaf16ea580f321725615e9ac7332b65d913c8f172393030c3e3c17a4aede26ba

Observation fcd31c3e-eb43-410d-9fc6-693f31c81dd5 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces,.

DeMo++: Motion Decoupling for Autonomous Driving Efficiently modeling long sequences with structured state spaces,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.515570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:02.993479Z digest=sha256:e26f962dfd1637d259392874443b2036cfdf2405eb20d83a66457742c93ce334

Observation cd14c2f8-0000-404a-b6d5-c65918ead8c7 · outbound

This paper cites Simplified state space layers for sequence modeling,.

DeMo++: Motion Decoupling for Autonomous Driving Simplified state space layers for sequence modeling,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.490368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.004363Z digest=sha256:38aac7f4a167e8b36b32a8b1ac3539e06be6ce8d072a0c977e3351e5681d5979

Observation aca3df03-ee8f-49af-8f0a-c4023f099d45 · outbound

This paper cites DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models.

DeMo++: Motion Decoupling for Autonomous Driving DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:03.012691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:03.012691Z digest=sha256:a82df571da53ca9a36bfdafe3e0e7c94619aabdc5c58b6fe8cd9eabb4961b1b8

Observation fd8b479c-8ad8-4922-9211-7a60bc8e3ba7 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

DeMo++: Motion Decoupling for Autonomous Driving Jamba: A Hybrid Transformer-Mamba Language Model

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:03.028732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:03.028732Z digest=sha256:cdbeee532e9b1399f5104d22f40ef745d521fa19f8b0a0bec3c6b563ed183404

Observation 8c593e3b-e3f1-4003-9401-d65905c3e22a · outbound

This paper cites Zigma: A dit-style zigzag mamba diffusion model,.

DeMo++: Motion Decoupling for Autonomous Driving Zigma: A dit-style zigzag mamba diffusion model,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.469170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.042569Z digest=sha256:2382521a804a7cdb2576033a984461adc3669950e84af4226abb52892cc100ee

Observation 43efc955-358c-402f-92e4-919ec9a48497 · outbound

This paper cites Videomamba: State space model for efficient video understanding,.

DeMo++: Motion Decoupling for Autonomous Driving Videomamba: State space model for efficient video understanding,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.418955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.055470Z digest=sha256:557010ec52bafbc3af2e6033cf48d58aa823fcc48a805f5f3a1d136bbd8aff73

Observation ccd59e8c-66bd-416e-bfce-a931cc00846c · outbound

This paper cites Motion mamba: Efficient and long sequence motion generation with hierarchical and bidirectional selective ssm,.

DeMo++: Motion Decoupling for Autonomous Driving Motion mamba: Efficient and long sequence motion generation with hierarchical and bidirectional selective ssm,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.398272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.061431Z digest=sha256:614311e6f0b60fed973f2af91fd4b131946156a76d9dee5b9b842985d2155809

Observation c1e80e13-ebeb-44d8-b117-be04e8c83bed · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model,.

DeMo++: Motion Decoupling for Autonomous Driving Vision mamba: Efficient visual representation learning with bidirectional state space model,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.374895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.073695Z digest=sha256:e13923b9642abdb35a4f979fecbbfdcdb62407851ca57791622da0ec99d45ccb

Observation c69ebbb1-54d1-45d6-863a-b79d7f6bf03c · outbound

This paper cites End-to-end driving with online trajectory evaluation via bev world model,.

DeMo++: Motion Decoupling for Autonomous Driving End-to-end driving with online trajectory evaluation via bev world model,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.345651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.094821Z digest=sha256:9bc8ff40d78bb64322d1054ebbe009a68da13c573298937d35c2e901de3fa5ed

Observation f1b3170a-933c-4e02-9606-c9192d503368 · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

DeMo++: Motion Decoupling for Autonomous Driving Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:03.108602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:03.108602Z digest=sha256:f79994b055b5b740d3d257f07a70458574472ac417c4f34086bca062109d7053

Observation 6d1c3b5b-c771-405e-8b88-5fb65c7b26fe · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection,.

DeMo++: Motion Decoupling for Autonomous Driving Deformable detr: Deformable transformers for end-to-end object detection,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.320243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.121214Z digest=sha256:983ee1a5187322beda6fb694c64e5cb50bc8e8ad3e507be8432a0e2bc2a1573a

Observation ae1c7e15-8f57-4c94-a82c-ac5c0b052f52 · outbound

This paper cites Leveraging future relationship reasoning for vehicle trajectory prediction,.

DeMo++: Motion Decoupling for Autonomous Driving Leveraging future relationship reasoning for vehicle trajectory prediction,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.272674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.128251Z digest=sha256:e31727d85d40d0b275515e35f4a298de900b10b0e9c8623039840ecab34be08b

Observation 75233508-c274-4bef-b881-c12b6004521d · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Simpl: A simple and efficient multi-agent motion prediction baseline for autonomous driving,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.223493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.139055Z digest=sha256:ab703c839e3935fb9aba99178b6ffd393552a42440502ed0cbc9f6db43e0c9a0

Observation 430a2e74-4f8c-4167-ba43-951867f9b5cc · outbound

This paper cites Gorela: Go relative for viewpoint-invariant motion forecasting,.

DeMo++: Motion Decoupling for Autonomous Driving Gorela: Go relative for viewpoint-invariant motion forecasting,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.193274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.144439Z digest=sha256:e2722e61dd5ebc596ed7db5e0e592cd16240a51bfa4c6fb40152c3ebc2027d80

Observation 4941ff46-1abf-43cb-b9b3-a486e676f43d · outbound

This paper cites Ganet: Goal area network for motion forecast- ing,.

DeMo++: Motion Decoupling for Autonomous Driving Ganet: Goal area network for motion forecast- ing,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.169817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.149425Z digest=sha256:18356f66ac266818169dc6a1a8c159a2adef3e3f69f1fcdb8a3e033e08b1e287

Observation f0af3fc2-2803-45e7-aaaa-9ba871ffa38d · outbound

This paper cites Prophnet: Efficient agent- centric motion forecasting with anchor-informed proposals,.

DeMo++: Motion Decoupling for Autonomous Driving Prophnet: Efficient agent- centric motion forecasting with anchor-informed proposals,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.137720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.159162Z digest=sha256:3e14f71a9c75af47a70364ae2749201b27ac2876616cab3adce5fd730d7e76b5

Observation 359c90af-463f-4be3-8cb3-8e120fd506e8 · outbound

This paper cites Cadet: a causal dis- entanglement approach for robust trajectory prediction in autonomous driving,.

DeMo++: Motion Decoupling for Autonomous Driving Cadet: a causal dis- entanglement approach for robust trajectory prediction in autonomous driving,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.104657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.165446Z digest=sha256:e34cbba166783c784870c7d973ff6b14c337e19d7b9f05f952054772b3701241

Observation 2871e256-def9-4966-aba8-9041c91d51ff · outbound

This paper cites Trajec- tron++: Dynamically-feasible trajectory forecasting with heterogeneous data,.

DeMo++: Motion Decoupling for Autonomous Driving Trajec- tron++: Dynamically-feasible trajectory forecasting with heterogeneous data,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.082447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.170572Z digest=sha256:b717706e5400d74914326308812ca62ddb31ad59d32391c1d8cd62f4f81496be

Observation d98a24f7-07cc-4705-9d20-5f1e0579b9bb · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Lapred: Lane-aware prediction of multi- modal future trajectories of dynamic agents,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.058920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.177156Z digest=sha256:d94ea8a244528796542bfe894f75a288c38b36b072a900d4d4f565d47eb2c70a

Observation c9db8663-776e-4d26-a35f-ef8908f73f56 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:55:03.489981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.184671Z digest=sha256:faf9ae9ea2abb99948bc0342601df0b569c204ba809cbf081c237a61ddd37be9

Observation 31911290-1684-4edf-86db-32e41e319f55 · outbound

This paper cites Context-aware scene prediction network (caspnet),.

DeMo++: Motion Decoupling for Autonomous Driving Context-aware scene prediction network (caspnet),

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:04.030519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.194758Z digest=sha256:1d6c636a31be62824cedbc83ed663198d31ec0a5c32256a5b52878289fc67429

Observation 0ebd50ba-663b-4336-bfc0-9eb7ff6c03be · outbound

This paper cites Latent variable sequential set transformers for joint multi-agent motion prediction,.

DeMo++: Motion Decoupling for Autonomous Driving Latent variable sequential set transformers for joint multi-agent motion prediction,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:03.999744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.202156Z digest=sha256:dd1121663bffffab65dbf68b5dd481557bb0f25acdbf8738001a4325dfce14d3

Observation 0f26fe46-eecd-42cb-8089-e7b57ff1925d · outbound

This paper cites Laformer: Trajectory prediction for autonomous driving with lane-aware scene constraints,.

DeMo++: Motion Decoupling for Autonomous Driving Laformer: Trajectory prediction for autonomous driving with lane-aware scene constraints,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:03.971575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.209273Z digest=sha256:633e807735bb611383b50e449ff503e4a130169c6e73a13dd4b573269d6d9f35

Observation f018add9-7990-4a5c-87a8-0ea341e13218 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:03.947953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.213471Z digest=sha256:412ee081bc8e3b05515e3655153e87370bfcedee02ef06eb6c28d9c2038f9611

Observation 00f06584-cf4d-4800-bb30-3517d415c9fb · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving Urban driver: Learning to drive from real-world demonstrations using policy gradients,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:03.916321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.222478Z digest=sha256:14d6c7d1ddfbb1ce58ca6d0c27d4401157ec6ac380b5401c8683f8f8fe4a3920

Observation ceb285d5-dfb5-4d04-b98c-53bbeae13af5 · outbound

This paper cites Plant: Explainable planning transformers via object-level representations,.

DeMo++: Motion Decoupling for Autonomous Driving Plant: Explainable planning transformers via object-level representations,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:03.885010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.231147Z digest=sha256:04fce1291c769a032ea12973c4f0df5125f7ccb00bd7852659ec0750847c2abf

Observation 3508f69e-c7b9-4d25-839d-d6ba38490001 · outbound

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

DeMo++: Motion Decoupling for Autonomous Driving From prediction to planning with goal conditioned lane graph traversals,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:55:03.854622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:55:03.237693Z digest=sha256:7e1aae0e45dc76cd573822fb6026215c4f67dd5abe53fc9e14f4add7e90ff3ec

Pith citing papers

Observation 9e25099c-c053-4df6-94be-c30f6880c4f6 · inbound

Mind the Noise: Sensitivity of Transformer-based Interaction-Aware Trajectory Prediction Models to Noisy Data cites this paper.

Mind the Noise: Sensitivity of Transformer-based Interaction-Aware Trajectory Prediction Models to Noisy Data DeMo++: Motion Decoupling for Autonomous Driving

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:29:37.632865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T14:26:36.435387Z digest=sha256:65e619d4ed56d53093d6bbeba08f06dbb07d9f84f96de8f1d186947c800e8c0c