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Paper Citation Record · LEDGER

DeMo++: Motion Decoupling for Autonomous Driving

As of 7 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 2026-08-07T06:34:17.273281+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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.605847Z digest=sha256:3c73153c251e279e5b8f5f27d506ceda1de266317e46283911b2e8de8e030f34

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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source=pdf_text observed=2026-08-06T14:55:02.610947Z digest=sha256:3a73b476ff3ce21dd676b158588546b91cfe76f1730dc216ddd8fc7f35a703db

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T14:55:02.618572Z digest=sha256:76f0d5d0e3659fccf4bbacbd8bdce51000f67d945941098168df75af0547bc1e

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.627115Z digest=sha256:cb974c04c7af2cddf71a82c505f8b8d020bdfd63f9d3974197fc1515b0c9ff9c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.632659Z digest=sha256:1f6b75e98b73ef52f0af159f76ab52ac9e6a257a75621ced4e5c3ea97311f98d

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-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.640364Z digest=sha256:e6aa5dfc450dbe135b2a1dead50251a220ec7ad0a765f85aaad8d6a8c1e1e9da

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-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.652407Z digest=sha256:44c2acf05d1cbfdae647d2d479fb04053e6b90bd6781c666f38c55bb7a141ee9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.660692Z digest=sha256:4e2d2978a2d2cb6e8324b109b8b44a184b8e2d53e1f8296c1ef49dae8d41765e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.670656Z digest=sha256:ccd67a331019dd5a6935b99fa06eab306d60938d0c49bc807010ebd42ba2232e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.678494Z digest=sha256:01ffc118483625379cc52d30b531a6b0bcac80aa1373d7314e2af3f9704924f5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.700029Z digest=sha256:cead40fa47bd2922b228bcb7130abcdd5ccc8168977400b2d4ca68cc220649c6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.705873Z digest=sha256:f477113a8f76aab52d1d458930831de7dbad7bc8531ab8ceafa6a7019da34465

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.711442Z digest=sha256:3b3116b8a4fa0a95e3ed6e8e6baabbedc366589e49acf9fbb3615255bf699272

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.718517Z digest=sha256:0ae807406db5ba8105d212e73b658cf944371b97c419e8303ab0168306411d36

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.726554Z digest=sha256:0037c0033dc06efba27de85c381c110ab6d0f7af078b2c82435eba0f4ece0a05

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.733734Z digest=sha256:319481222db10b3cbcfb61939f09fb6b292cf28d9f8a7f39ff79b3fd3411f653

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.744368Z digest=sha256:b750c41debde558419416986c9139f0cd16a55e47ccbb8f2bc3d56c8d3590d57

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.759213Z digest=sha256:0014253e94c7d12029ee55d8d039cac34d64ce395cbb30af3ad1e96df74019a8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.774350Z digest=sha256:ab0e9b519cd77d3d829f3c8f71d5731e674f083b25cc3e99de06d21c88058b77

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.784421Z digest=sha256:b36fe4c820c2855a5eb98106c9686abf59fee5f9e114052a91485c71248026d5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.795926Z digest=sha256:d5aee14d81f56651b3d5d406ef54bcf8fe4b61df9ca0c59699a3e348a5b6258b

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=sha256:5b88aba9ed10e9a54cae14935e733cbd77ac189d4b902fefea9c23bf1c08989c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.811369Z digest=sha256:f35c8358c065518becbcaa160a2ed32824bb707653d6ce7b52573696527c9a3e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.817217Z digest=sha256:7cc72883514979d8b2c1cb44bee5d1ef4bee974f8463812edc6568090bbddf4a

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:bddb8c4dc99fe88c2aa467e3e201e43d736d23a0b5555d615d8f79da3750052c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.852721Z digest=sha256:53e8da66e5357ae791a5c04cc925697f7549de36b00d5ff7e8492b4c152d4350

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.860822Z digest=sha256:bf548f39267975d8038f51db6e34a93e02a6eccfb97b6f982fb3ef32950729f9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.869577Z digest=sha256:7059f6907e8b14c9bf75e42738d731687b0bc315ff5b46c10ab076c66efbbbab

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.874488Z digest=sha256:afb392cb6d3e8015a9c4e721939358c51a3b493f6af77f55a41f4836509090d8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.879391Z digest=sha256:5f1d1aba27ca845643da0ff39077da40b822cd7b3692ee770bc356976996febb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.885967Z digest=sha256:9846dac7905e7504342d2e16225596cdd56bdb0a362d2791d2d0c81eff36d75f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.892760Z digest=sha256:fea535134d89d95ab52ecb38f03e923df5f0569d2649af522ef006ca616e9b05

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.898948Z digest=sha256:fb60402605db2c623a318835bbdb283abc3d6ddd6c74f560288b8d509fc79c9b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.906648Z digest=sha256:a08d1ec0723d7bcee0f266352e092b4f5e6c9a3a0a09bad51e32f9027328ec76

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.914414Z digest=sha256:461c001856f38928bbf6305e8cdfd4b40105159b3d804bea28af3b290f71449c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.934572Z digest=sha256:12dad06cce357ea5335e3ad1e93624b22bc1a2c0b64bb1a5fd07d493c1bad3cf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.950919Z digest=sha256:92f5530a849cd43047f4a9f6254bf676459b1a0ca86b1e81795edbb36388ac26

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.957847Z digest=sha256:539be27d065f81d284214a465153b7c7bd1ccf7af9ad60c41901b67dec8a9d49

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.969493Z digest=sha256:11046503e316be9fa992cc088a93d1fe26e0dd275fcf0072c1364207b7164fb9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.984133Z digest=sha256:6da89722a863b38f8d3bda484cf6f5a26092a87c1b144ed3ff90c9b85c2d46a3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:02.993479Z digest=sha256:a5938108508687c4e6cfd7b3c3a5832e032ad87695dc9856e336a40ce0bf4a8b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.004363Z digest=sha256:3f5dafd42d1f1431f4437ecfdcfca9f5f03d2358e64a960c7a8f4940c09c7d32

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.042569Z digest=sha256:82570db12447825a1bfd0c219c51b7ddbc8ca468cabdac6724b34e26aecde605

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.055470Z digest=sha256:ab3c2cb2396896321b53a19e21a65762ea2860bbb8e569859513cabb824fe839

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.061431Z digest=sha256:03d9f2116618cc2908173114a30570b5e57d266351a58aab51600186f576e8ec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.073695Z digest=sha256:4f960e1f7c12f988ba133b1c3fd4291a0b65bc8d18ad643bd60f0ae47fc041a6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.094821Z digest=sha256:c203b1827bc74fe6933cfd0c5ca527dc15281703da5affbbb7d66aaf3454494e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.121214Z digest=sha256:a7429f1ee0c218dcdaa1d6c9c5c94944891c996f2504feebaf605f19a9ba8ccd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.128251Z digest=sha256:12ca9c37634a0a1bd13badd4f4a877fe5ad7646c66310c80d0d8eb1cef354461

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.139055Z digest=sha256:e4acad96b944a1bba81481a417c20ac2d95f105e2f8755dd2dd4232283fbf1a6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.144439Z digest=sha256:55783f31be1cec6833bd8a456a60559cd310811b31dbbbad37f4fc6b2203760e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.149425Z digest=sha256:8b6fa2435ffdb446bc126cecc02dba9faac07925ded6db93e03050277d95e1a4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.159162Z digest=sha256:502bd6d6cd03be34438ebdea89171a149912a6adbb9c95f833e6e3b632b34d32

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.165446Z digest=sha256:a60e14a3a15c7dccdd64615c8895d9d893fb37be11a1de9476f402a29e491ca3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.170572Z digest=sha256:857c31180da3fc65eb6277773d1970feb1135ed631f19eba2fdaf4af1f9c9ac0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.177156Z digest=sha256:482a3b83e22b0555dbbf56557ab5da9982ec3981c66b99cbe51fd8a4af71ad80

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.184671Z digest=sha256:77adfe78b4ec9560f6138f8fe4c2404d75da1e322de43ddc2b2b963d9b122b7a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.194758Z digest=sha256:5000bd0f412e741e1c213114e2dc95d7994d8f6e2aca04fd224f95c95e0b96f6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.202156Z digest=sha256:5bdb689024b8405bfce53d98aff4977cebd6fb1cfd7fee4c508ee9834a1a3535

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.209273Z digest=sha256:3fd79744ae09e12aaeac5fae257c4228c863ecf7c06d62ae9fb06f4592963e22

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.213471Z digest=sha256:9badbaf3f9257d8e2804173d7f46223bd0724e22f6e572933e14aafea3572f87

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.222478Z digest=sha256:f3c2703673ce1584380fca12b9874f4349f747f71c93422314cd1aca8b1d83b8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.231147Z digest=sha256:30aae8d7ded0a9c20425f3d804db025703093758fbf1aaf2b548297d902cfa9d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:55:03.237693Z digest=sha256:76c7f1bf162334af8f871b1d743bd241793fe20b99d79a3bf171ab4fea45eec7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T14:26:36.435387Z digest=sha256:70e190aea52bf0f6e572f5146942e5e687dcdf2ee1535e28021689b1ffbfa26d