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Paper Citation Record · LEDGER

Online Aggregation of Trajectory Predictors

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2502.07178.

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

pith.paper-citation-record.v1
2502.07178 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:40:35.533993Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:59:54.224722Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:59:55.367226Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact3
  • verified fuzzy32
  • unresolved12
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae83ef2e-c771-433c-9d06-79bd2e1e6e04 · outbound

This paper cites Liability, ethics, and culture-aware behavior specification using rulebooks,.

Online Aggregation of Trajectory Predictors Liability, ethics, and culture-aware behavior specification using rulebooks,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 94f53e0b-c0a2-43cf-953b-8d3df296a824 · outbound

This paper cites Receding horizon planning with rule hierarchies for autonomous vehicles,.

Online Aggregation of Trajectory Predictors Receding horizon planning with rule hierarchies for autonomous vehicles,

Reference 2

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raw_fallback, observed 2026-08-08T13:40:36.050919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 97e5c23c-a58d-4ab5-9f1b-918529399bb9 · outbound

This paper cites The reasonable crowd: Towards evidence-based and interpretable models of driving behavior,.

Online Aggregation of Trajectory Predictors The reasonable crowd: Towards evidence-based and interpretable models of driving behavior,

Reference 3

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Source-reported events for the cited work

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Observation c05cfc94-a582-4b54-8e24-9a7c3798a066 · outbound

This paper cites Tra- jectron++: Dynamically-feasible trajectory forecasting with hetero- geneous data,.

Online Aggregation of Trajectory Predictors Tra- jectron++: Dynamically-feasible trajectory forecasting with hetero- geneous data,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 37257434-40c6-437b-a28e-67e31af55f4f · outbound

This paper cites Scept: Scene-consistent, policy- based trajectory predictions for planning,.

Online Aggregation of Trajectory Predictors Scept: Scene-consistent, policy- based trajectory predictions for planning,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 832cf53e-808f-475b-9da4-8058f9a08294 · outbound

This paper cites Agentformer: Agent- aware transformers for socio-temporal multi-agent forecasting,.

Online Aggregation of Trajectory Predictors Agentformer: Agent- aware transformers for socio-temporal multi-agent forecasting,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a14a4a1a-7e0f-4905-8f2f-8515a5f50e67 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Online Aggregation of Trajectory Predictors On the Opportunities and Risks of Foundation Models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d7cc4c40-8f05-42eb-87e2-f8bab05a5a8d · outbound

This paper cites DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.

Online Aggregation of Trajectory Predictors DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Reference 8

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Observation fa64e1fd-3cd2-4ad5-8105-b1c86b9b06d3 · outbound

This paper cites On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation.

Online Aggregation of Trajectory Predictors On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation

Reference 9

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verified exact
local_arxiv, observed 2026-08-08T13:40:35.670639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation db2fbcbe-f7e7-43a9-96cf-3a055330a8e1 · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

Online Aggregation of Trajectory Predictors A Survey on Hallucination in Large Vision-Language Models

Reference 10

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Observation 0ce9a9dd-315d-4982-81be-aa2818eaf642 · outbound

This paper cites A brief introduction to boosting,.

Online Aggregation of Trajectory Predictors A brief introduction to boosting,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 088a4f35-ce66-4f92-a9c4-abe8220f32b2 · outbound

This paper cites An introduction to boosting and leveraging,.

Online Aggregation of Trajectory Predictors An introduction to boosting and leveraging,

Reference 12

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raw_fallback, observed 2026-08-08T13:40:35.985985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b37f2820-1697-4c4f-ae1d-3d279953f1c1 · outbound

This paper cites Online Learning: A Modern Introduction Using Convex Optimization.

Online Aggregation of Trajectory Predictors Online Learning: A Modern Introduction Using Convex Optimization

Reference 13

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Unavailable: canonical work link unavailable.

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Observation e65b1143-2e3e-42f9-ba4c-156b33540ab3 · outbound

This paper cites Improving adaptive online learning using refined discretization,.

Online Aggregation of Trajectory Predictors Improving adaptive online learning using refined discretization,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3915bafc-c10b-48f6-9624-a474e977fe43 · outbound

This paper cites Second-order quantile methods for experts and combinatorial games,.

Online Aggregation of Trajectory Predictors Second-order quantile methods for experts and combinatorial games,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.963611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 37cdd8c8-e2c3-4e00-a6fb-c0c5015b0774 · outbound

This paper cites Artificial Constraints and Lipschitz Hints for Unconstrained Online Learning.

Online Aggregation of Trajectory Predictors Artificial Constraints and Lipschitz Hints for Unconstrained Online Learning

Reference 16

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local_arxiv, observed 2026-08-08T13:40:35.636280Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8438e24d-9345-4b59-b4f1-2aff8627836b · outbound

This paper cites Stochastic Optimization of Sorting Networks via Continuous Relaxations.

Online Aggregation of Trajectory Predictors Stochastic Optimization of Sorting Networks via Continuous Relaxations

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 1142cc37-b1c2-4738-aef8-80c0d6fbc66b · outbound

This paper cites Discounted adaptive online learning: Towards better regularization,.

Online Aggregation of Trajectory Predictors Discounted adaptive online learning: Towards better regularization,

Reference 18

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raw_fallback, observed 2026-08-08T13:40:35.952468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3a1da4b1-edf5-47d7-8a83-01622d3c0904 · outbound

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

Online Aggregation of Trajectory Predictors nuscenes: A multimodal dataset for autonomous driving,

Reference 19

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Unavailable: canonical work link unavailable.

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Observation ad2f14d0-6ddc-417b-b9aa-c408adf987e6 · outbound

This paper cites Multi-predictor fusion: Combin- ing learning-based and rule-based trajectory predictors,.

Online Aggregation of Trajectory Predictors Multi-predictor fusion: Combin- ing learning-based and rule-based trajectory predictors,

Reference 20

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raw_fallback, observed 2026-08-08T13:40:35.933703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 649be568-1ec5-4b05-9b8b-0ef503cb21ba · outbound

This paper cites One thousand and one hours: Self-driving motion prediction dataset,.

Online Aggregation of Trajectory Predictors One thousand and one hours: Self-driving motion prediction dataset,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a07ce929-1edf-4d3e-8bf6-44f5a3f09cf4 · outbound

This paper cites Vehicle trajec- tory prediction based on motion model and maneuver recognition,.

Online Aggregation of Trajectory Predictors Vehicle trajec- tory prediction based on motion model and maneuver recognition,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3029b934-822c-4026-a9f7-4714b43d4fc4 · outbound

This paper cites Social lstm: Human trajectory prediction in crowded spaces,.

Online Aggregation of Trajectory Predictors Social lstm: Human trajectory prediction in crowded spaces,

Reference 23

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9d22c316-76f4-46be-ae23-a2dc9575b608 · outbound

This paper cites Pre- dictionnet: Real-time joint probabilistic traffic prediction for planning, control, and simulation,.

Online Aggregation of Trajectory Predictors Pre- dictionnet: Real-time joint probabilistic traffic prediction for planning, control, and simulation,

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f77f1de0-6ad6-4ba6-9e47-372db162f819 · outbound

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

Online Aggregation of Trajectory Predictors Social GAN: Socially acceptable trajectories with generative adversarial networks,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.886779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation be272df7-620c-43f1-aa61-9307a5e7f5b6 · outbound

This paper cites Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction.

Online Aggregation of Trajectory Predictors Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction

Reference 26

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2ec05a19-2f47-4e98-9c5d-7842ee239c2b · outbound

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

Online Aggregation of Trajectory Predictors Learning to predict vehicle trajectories with model-based planning,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9aad4368-d3ef-4f6f-9296-50cf7d43d731 · outbound

This paper cites Planning-inspired hierarchical trajectory prediction for autonomous driving,.

Online Aggregation of Trajectory Predictors Planning-inspired hierarchical trajectory prediction for autonomous driving,

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cba33283-ef6e-43b0-93ca-3721a6d7e778 · outbound

This paper cites Differentiable logic layer for rule guided trajectory prediction,.

Online Aggregation of Trajectory Predictors Differentiable logic layer for rule guided trajectory prediction,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.856583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 45352c7a-b3b1-4153-b015-786701b2e401 · outbound

This paper cites On complementing end-to-end human behavior predictors with planning,.

Online Aggregation of Trajectory Predictors On complementing end-to-end human behavior predictors with planning,

Reference 30

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raw_fallback, observed 2026-08-08T13:40:35.846768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 593537b1-da55-4b09-85d2-5fa6e1627540 · outbound

This paper cites RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts.

Online Aggregation of Trajectory Predictors RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6278fdf3-8bcb-4f2a-a69e-b1383d4f4bb2 · outbound

This paper cites Online control with adversarial disturbances,.

Online Aggregation of Trajectory Predictors Online control with adversarial disturbances,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.836787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e4e41a03-7025-4169-b856-cf0c1d93523d · outbound

This paper cites Introduction to Online Control.

Online Aggregation of Trajectory Predictors Introduction to Online Control

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81461d23-0ebf-483e-949a-e5ea020cd51a · outbound

This paper cites Fast trac: A parameter-free optimizer for lifelong reinforcement learning,.

Online Aggregation of Trajectory Predictors Fast trac: A parameter-free optimizer for lifelong reinforcement learning,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.826374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6098543b-2e10-41e4-a433-47d375c0ce70 · outbound

This paper cites Adaptive conformal inference under dis- tribution shift,.

Online Aggregation of Trajectory Predictors Adaptive conformal inference under dis- tribution shift,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.815924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 11207458-e706-4c87-bf3e-7e7a88e75fe2 · outbound

This paper cites Improved online conformal prediction via strongly adaptive online learning,.

Online Aggregation of Trajectory Predictors Improved online conformal prediction via strongly adaptive online learning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.804419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:40:35.502661Z digest=sha256:f8034e7961e4803dec9b7b38e01c58b6ebdec8516a06c589dcc0719efa05a256

Observation 4355114f-6d0e-4343-a1e8-8ec199d76137 · outbound

This paper cites Wayformer: Motion forecasting via simple & efficient atten- tion networks,.

Online Aggregation of Trajectory Predictors Wayformer: Motion forecasting via simple & efficient atten- tion networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.791281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:40:35.505549Z digest=sha256:4a78d687622e513637cbedcd4b8af43f261d446a0103f00b35811cf0dfb10a48

Observation 914b0561-f912-4093-b3a1-193b6c13d2ef · outbound

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

Online Aggregation of Trajectory Predictors Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention query- ing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.779667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:40:35.508245Z digest=sha256:b27119fc715e213d1e49821436eeca50bc7a171599882698a6155657e52e9d68

Observation 6d5f56f0-5b40-4f7c-bed0-4b3fefce3860 · outbound

This paper cites A decision-theoretic generalization of on-line learning and an application to boosting,.

Online Aggregation of Trajectory Predictors A decision-theoretic generalization of on-line learning and an application to boosting,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.767532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:40:35.511153Z digest=sha256:6b3cbe49cbc0197c7be27f722397b537f08962c43cb876ec4d458df8fc42a33a

Observation c03e8bba-27ff-4a3d-8696-b7edd5ed74a5 · outbound

This paper cites On the difficulty of training Recurrent Neural Networks.

Online Aggregation of Trajectory Predictors On the difficulty of training Recurrent Neural Networks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T13:40:35.514090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:40:35.514090Z digest=sha256:265a19657b364c34795275404e0521034dc65e788e114e6d7b458a37716d2ac3

Observation 68265bd9-dbe8-49f6-a47d-8af5e59b37ea · outbound

This paper cites Stochastic optimization with heavy-tailed noise via accelerated gradient clipping,.

Online Aggregation of Trajectory Predictors Stochastic optimization with heavy-tailed noise via accelerated gradient clipping,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.755727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:40:35.517063Z digest=sha256:36dd50f3f2b097cea20896a2d0453d2f9af9c12c6cc9caf397c911e7e6ddad51

Observation 37f3b2aa-280c-41ff-8852-dfb1ca21017c · outbound

This paper cites Why are adaptive methods good for attention models?.

Online Aggregation of Trajectory Predictors Why are adaptive methods good for attention models?

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.744850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:40:35.519867Z digest=sha256:38c80d381c7bde816b1f30c004b24276d80d27296ba056db66b4a54be4af7af9

Observation 17fa6e44-fd0e-459b-b4de-db202432f178 · outbound

This paper cites an unresolved cited work.

Online Aggregation of Trajectory Predictors Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T13:40:35.522465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:40:35.522465Z digest=sha256:a414570effd3990ca7782f66c9c050d9f4da8b5d7316c4b5c3d3ee4d5d08ee1c

Observation 15e5e832-1b74-48d5-98d3-ff7c8f77af5c · outbound

This paper cites Softsort: A continuous relaxation for the argsort operator,.

Online Aggregation of Trajectory Predictors Softsort: A continuous relaxation for the argsort operator,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.726586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:40:35.525385Z digest=sha256:0155d794357b87871b0847a8f17207c18b1770accd9a76cb2c337d35bf061a10

Observation 27ecf670-571b-46aa-9dfe-c31af3c2e7b2 · outbound

This paper cites Nuplan: A closed-loop ml- based planning benchmark for autonomous vehicles,.

Online Aggregation of Trajectory Predictors Nuplan: A closed-loop ml- based planning benchmark for autonomous vehicles,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.716245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:40:35.528044Z digest=sha256:24182fa19023ef7a91054762fd4e123aa7e58649ee2853f039df62d83a42f392

Observation b84459c9-ef79-4d5e-8191-f46a877b9ff4 · outbound

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

Online Aggregation of Trajectory Predictors Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T13:40:35.530857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:40:35.530857Z digest=sha256:f2b79054a6607d3c74a9d77eeff240a0f6ee52d9270577afdbb1c31ce7fb9b4b

Observation 91cbff4b-af3b-4e73-8e77-7f05d5ace787 · outbound

This paper cites Lecture 10: Exponentiated gradient descent,.

Online Aggregation of Trajectory Predictors Lecture 10: Exponentiated gradient descent,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:40:35.705971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:40:35.533993Z digest=sha256:8e0049dead2ee921e3a1b29cec161c8f0aa413257283fd5e965c7face64916f1

Pith citing papers

Observation cbe8eceb-ab24-4b4c-a0c9-73fae59a1d91 · inbound

GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving cites this paper.

GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving Online Aggregation of Trajectory Predictors

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:59:55.418060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:59:54.224722Z digest=sha256:d6959558bd0924e2a631ae24984beaf9fd05c4eb7dc53c2c82e834e86e56725b

Observation f5d00ea1-fc7a-426d-8e95-40bc954773d4 · inbound

Self-Adaptive Learning and Model Predictive Control for Tracking Unknown Dynamics with No Regret cites this paper.

Self-Adaptive Learning and Model Predictive Control for Tracking Unknown Dynamics with No Regret Online Aggregation of Trajectory Predictors

Reference 208

Resolution
unresolved
no resolver link, observed 2026-08-01T17:24:28.566159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:24:28.566159Z digest=sha256:c28ef2fe24ef8033939f3aff9471e8210481cf9109ef55913dd328fcac752884