Paper Citation Record · LEDGER

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.15703.

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

pith.paper-citation-record.v1
2505.15703 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:16:12.146074Z

measured 43 of 43 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy30
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb7f8e35-be2f-4d6f-bfa7-96cf1ebedeae · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:10.721562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e5b162-8cbe-46e6-90d8-50add44f764d · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning A survey on trajectory-prediction methods for autonomous driving,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.644669Z

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.

Observation 2473a5d5-517a-4ec4-a8c6-8c522a1b46a8 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Vectornet: Encoding hd maps and agent dynamics from vectorized representation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.618951Z

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.

Observation da0a02a5-3c41-4902-9ab3-d6dfcae877fb · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Learning lane graph representations for motion forecasting,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.596594Z

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.

Observation 23c89954-c98d-4559-b397-c7d0456c3e65 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Simpl: A simple and efficient multi-agent motion prediction baseline for autonomous driving,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.576163Z

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.

Observation 56fd1171-cf96-4879-8ffd-493d4f656378 · outbound

This paper cites Scene Transformer: A unified architecture for predicting multiple agent trajectories.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:10.889911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fcb46f8-a407-4cb3-9072-b0c84ae37c97 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Forecast-mae: Self-supervised pre- training for motion forecasting with masked autoencoders,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.555570Z

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.

Observation c3ad91c7-2881-46ae-83dd-a7020e38b0ad · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Gorela: Go relative for viewpoint-invariant motion forecasting,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.531818Z

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.

Observation e52c2686-ec22-46c7-9844-3f42dcd4ec64 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.510111Z

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.

Observation 6968e5e9-2cd4-4bd9-b6a1-b48cffe71cbc · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Motion transformer with global intention localization and local movement refinement,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.483053Z

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.

Observation 894c0a48-f34e-4885-8c54-f3c6e63716f4 · outbound

This paper cites Query-centric trajectory prediction,.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Query-centric trajectory prediction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.459520Z

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.

Observation fad70c9f-247d-4988-94b2-87ac46e902c1 · outbound

This paper cites DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:11.068312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ffecdc-fa20-4294-b8a7-c4e50b92e82c · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Prophnet: Efficient agent-centric motion forecasting with anchor-informed proposals,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.425641Z

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.

Observation e8881259-4ea7-4196-834e-29a720aa3a1f · outbound

This paper cites MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:11.155330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b5e768b-37b5-43f7-bfc1-9b8aa1ee6ccd · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Multimodal trajectory prediction conditioned on lane-graph traversals,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.395039Z

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.

Observation ca13b4f1-0f21-49e3-bb89-22c88293066d · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Tnt: Target-driven trajectory prediction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.365022Z

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.

Observation c7e928de-cdc1-4b26-9836-a1b366b9632c · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Densetnt: End-to-end trajectory pre- diction from dense goal sets,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.337487Z

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.

Observation 6126020c-5d16-462b-8dc1-aa1cb14d777e · outbound

This paper cites Learning to predict vehicle trajectories with model-based planning,.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Learning to predict vehicle trajectories with model-based planning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.312469Z

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.

Observation 9b361510-2aa2-4046-81f0-c1337e6887ea · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:11.365866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62cc7bf0-284b-46b0-9407-4ba955f98159 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:11.405944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94168420-6d8e-4f4c-a1fc-7bd56dfe2d2b · outbound

This paper cites Taskprompter: Spatial-channel multi-task prompt- ing for dense scene understanding,.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Taskprompter: Spatial-channel multi-task prompt- ing for dense scene understanding,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.281956Z

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.

Observation 13b64dd8-aac4-4bd8-9d93-c83e022343ec · outbound

This paper cites Attention is all you need,.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Attention is all you need,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.251061Z

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.

Observation fa198b32-480e-41d4-9fc9-fced882391cc · outbound

This paper cites Multiple futures prediction,.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Multiple futures prediction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.228167Z

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.

Observation b8c24edc-1a37-4852-adcd-a549d928b496 · outbound

This paper cites Hgcn-gjs: Hierar- chical graph convolutional network with groupwise joint sampling for trajectory prediction,.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Hgcn-gjs: Hierar- chical graph convolutional network with groupwise joint sampling for trajectory prediction,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.205795Z

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.

Observation 74a0e1a7-5252-4116-a7fc-e729a1ac0b37 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.174485Z

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.

Observation c38d1294-9b40-4b59-b811-88e112ffd9b7 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Real-time motion prediction via heterogeneous polyline transformer with relative pose encoding,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.153604Z

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.

Observation d90c0dec-c110-428d-b120-cd0377572537 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Smartrefine: A scenario-adaptive refinement framework for efficient motion prediction,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.126867Z

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.

Observation 3867940e-8332-4105-abae-65a3e39fe629 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning End-to-end object detection with transformers,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.100116Z

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.

Observation 783bbc65-13f4-4503-8c85-fc5874b4b8af · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Rethinking imitation-based planners for autonomous driving,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.071523Z

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.

Observation 1c0db970-c1e0-45e5-a04a-1e2763a8a121 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:11.756863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8175b6-5c78-4b43-9b5f-28ba53079cc4 · outbound

This paper cites Vmamba: Visual state space model,.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Vmamba: Visual state space model,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.045979Z

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.

Observation 0c446726-881e-4f10-99c4-0c48deaea239 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Videomamba: State space model for efficient video understanding,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.023454Z

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.

Observation ebd480ea-2b44-49b9-b6f3-cdd3af81ccf8 · outbound

This paper cites Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:11.859602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5233c138-c85a-4100-af16-2034d7a6bd01 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:11.886964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35ae53b7-348b-4064-98d5-447debed0952 · outbound

This paper cites Layer Normalization.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Layer Normalization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:11.913465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aff6c694-da51-425a-a2ad-86ed7553b2b9 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Ganet: Goal area network for motion forecasting,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:13.000164Z

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.

Observation 9d0c5e0a-ed45-4ea5-8046-901d346cc9c6 · outbound

This paper cites Motion forecasting in continuous driving,.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Motion forecasting in continuous driving,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:12.957652Z

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.

Observation f7c9a6e4-5626-4599-9dcc-cae74f1b7701 · outbound

This paper cites QML for Argoverse 2 Motion Forecasting Challenge.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning QML for Argoverse 2 Motion Forecasting Challenge

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:16:12.360966Z

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.

Observation 3120dcf8-6e82-4c0f-b977-3bab8c5d0693 · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Macformer: Map-agent coupled transformer for real- time and robust trajectory prediction,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:12.881223Z

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.

Observation 28ca253b-09b0-40c5-8984-955f004770a8 · outbound

This paper cites BANet: Motion Forecasting with Boundary Aware Network.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning BANet: Motion Forecasting with Boundary Aware Network

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:12.034224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 427eabd1-37a0-46b3-a9c6-e57f6a1584af · outbound

This paper cites Dynamic scenario representation learning for motion forecasting with heterogeneous graph convolu- tional recurrent networks,.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Dynamic scenario representation learning for motion forecasting with heterogeneous graph convolu- tional recurrent networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:12.808959Z

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.

Observation 87e038bc-c546-4f4c-9bed-4e41eac07fb9 · outbound

This paper cites Decoupled Weight Decay Regularization.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Decoupled Weight Decay Regularization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:12.111237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b840834f-67af-4c36-b31d-1e2d63a854ae · outbound

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

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Vision mamba: Efficient visual representation learning with bidirectional state space model,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:12.743804Z

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.

Pith citing papers

No inbound Pith citation observations are available.