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Paper Citation Record · LEDGER

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems

As of 21 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.04520.

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

pith.paper-citation-record.v1
2507.04520 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:51:48.208967Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

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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

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 455e293d-ff4f-4caa-88d7-f6e05ae90e02 · outbound

This paper cites How machine learning informs ride-hailing services: A survey,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems How machine learning informs ride-hailing services: A survey,

Reference 1

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Observation b4574241-816b-4b15-ab19-7e8c9de5a44f · outbound

This paper cites Reinforcement learning for rideshar- ing: An extended survey,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Reinforcement learning for rideshar- ing: An extended survey,

Reference 2

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 59a5de48-0afb-4ebd-ad2f-64fcbefc6b8a · outbound

This paper cites Robo-taxi Fleet Coordination at Scale via Reinforcement Learning.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Robo-taxi Fleet Coordination at Scale via Reinforcement Learning

Reference 3

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Observation 65aad9fd-ff84-4ecc-8f37-d2a54abd4be9 · outbound

This paper cites Mobility-on-demand pricing versus private vehicle tco: how cost structures hinder the dethroning of the car,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Mobility-on-demand pricing versus private vehicle tco: how cost structures hinder the dethroning of the car,

Reference 4

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Observation 3fa942a2-cd90-468a-84e7-3756ec6deec2 · outbound

This paper cites Analysis and control of autonomous mobility-on-demand systems,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Analysis and control of autonomous mobility-on-demand systems,

Reference 5

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Observation c5fe46b0-011a-42fa-b5bc-213c63777684 · outbound

This paper cites Deep multi-view spatial-temporal network for taxi demand prediction,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Deep multi-view spatial-temporal network for taxi demand prediction,

Reference 6

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Source-reported events for the cited work

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Observation 36a8c886-3229-4bca-a2dc-34a05b3a1886 · outbound

This paper cites Traffic demand prediction based on dynamic transition convolutional neural network,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Traffic demand prediction based on dynamic transition convolutional neural network,

Reference 7

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Source-reported events for the cited work

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Observation 5ca0844b-d43d-492e-88ab-3cca39ed9e8e · outbound

This paper cites A dynamical spatial-temporal graph neural network for traffic demand prediction,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems A dynamical spatial-temporal graph neural network for traffic demand prediction,

Reference 8

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Source-reported events for the cited work

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Observation e7f635aa-c33d-4af2-ad64-95d6a6843c4c · outbound

This paper cites Approximate dynamic programming for planning a ride-hailing system using autonomous fleets of electric vehicles,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Approximate dynamic programming for planning a ride-hailing system using autonomous fleets of electric vehicles,

Reference 9

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Observation 4de3e226-5854-4b8b-8a29-bf5ce3cbbc1d · outbound

This paper cites Dynamic modeling and control of taxi services in large-scale urban networks: A macroscopic approach,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Dynamic modeling and control of taxi services in large-scale urban networks: A macroscopic approach,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 15baf092-d86e-480f-b236-774b63c6dbdc · outbound

This paper cites Data-driven distributionally robust electric vehicle balancing for mobility-on-demand systems under demand and supply uncertainties,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Data-driven distributionally robust electric vehicle balancing for mobility-on-demand systems under demand and supply uncertainties,

Reference 11

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Observation 94ad4edb-9c14-40b7-b3b3-cb10d8689fd1 · outbound

This paper cites Robust matching-integrated vehicle rebalancing in ride-hailing system with uncertain demand,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Robust matching-integrated vehicle rebalancing in ride-hailing system with uncertain demand,

Reference 12

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Observation 21e8b69e-7a13-4b3c-b5ea-51be70e33ea2 · outbound

This paper cites Ben-Tal, L.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Ben-Tal, L

Reference 13

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Observation 31b7c6ae-cee4-4014-bb7e-34985e513ff3 · outbound

This paper cites Frameworks and results in distribution- ally robust optimization,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Frameworks and results in distribution- ally robust optimization,

Reference 14

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0fa58ac5-f924-4045-9c20-04b28d1017e1 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Gradient-based learning applied to document recognition,

Reference 15

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Source-reported events for the cited work

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Observation 95d3333e-d289-485a-ac38-0fed44816dba · outbound

This paper cites Long short-term memory,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Long short-term memory,

Reference 16

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Observation 8bcbea74-1b0d-4350-888a-4be35b357f8a · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Semi-Supervised Classification with Graph Convolutional Networks

Reference 17

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Observation e2917fd5-7078-4c53-99af-6aa9dbf0b86f · outbound

This paper cites Spatio-temporal graph convolutional net- works: A deep learning framework for traffic forecasting,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Spatio-temporal graph convolutional net- works: A deep learning framework for traffic forecasting,

Reference 18

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Observation bef91ebc-b01e-46dc-8184-6f14d4b6cadb · outbound

This paper cites Gman: A graph multi-attention network for traffic prediction,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Gman: A graph multi-attention network for traffic prediction,

Reference 19

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Observation 8b4da1c3-9309-447d-a4f2-410268540117 · outbound

This paper cites A review of demand forecasting models and methodological develop- ments within tourism and passenger transportation industry,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems A review of demand forecasting models and methodological develop- ments within tourism and passenger transportation industry,

Reference 20

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Observation fe720f9a-5c20-4d6f-8c70-0450c3898f0e · outbound

This paper cites Spatiotemporal traffic forecasting: review and proposed directions,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Spatiotemporal traffic forecasting: review and proposed directions,

Reference 21

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Observation ce3c999b-c624-4465-a5a5-702c0937a0a3 · outbound

This paper cites The propagation of uncertainty through travel demand models: an exploratory analysis,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems The propagation of uncertainty through travel demand models: an exploratory analysis,

Reference 22

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Observation 37e745c1-5cfb-4881-b6d2-0183c3fe1d8e · outbound

This paper cites Uncertainty quantification of sparse travel demand prediction with spatial-temporal graph neural networks,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Uncertainty quantification of sparse travel demand prediction with spatial-temporal graph neural networks,

Reference 23

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Observation 22973f2d-0f46-474c-a385-786166955c14 · outbound

This paper cites Uncer- tainty quantification of spatiotemporal travel demand with probabilistic graph neural networks,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Uncer- tainty quantification of spatiotemporal travel demand with probabilistic graph neural networks,

Reference 24

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Observation 736329a2-bf08-43a8-ac1e-2c97dd43036c · outbound

This paper cites Beyond expectation: Deep joint mean and quantile regression for spatiotemporal problems,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Beyond expectation: Deep joint mean and quantile regression for spatiotemporal problems,

Reference 25

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Observation b7587d23-cc8e-4e67-918a-d74d9e61f1c4 · outbound

This paper cites Temporal latent auto-encoder: A method for probabilistic multivariate time series forecasting,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Temporal latent auto-encoder: A method for probabilistic multivariate time series forecasting,

Reference 26

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Observation c631c0ea-683e-479f-9df9-0f38406178ab · outbound

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Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Unresolved cited work

Reference 27

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Observation 758a9d22-d94a-4edb-8267-718bf82be55e · outbound

This paper cites Facility location: A robust op- timization approach,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Facility location: A robust op- timization approach,

Reference 28

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Observation 4090806d-99a7-4808-8dcf-9484566dafb4 · outbound

This paper cites Robust strategies for facility location under uncertainty,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Robust strategies for facility location under uncertainty,

Reference 29

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Observation 3f8a505f-e800-4461-9dd7-86e81cb73e29 · outbound

This paper cites Computing robust basestock levels,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Computing robust basestock levels,

Reference 30

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Observation 28abe311-30ef-4403-bb96-f28532904307 · outbound

This paper cites Robust approximation to multiperiod inventory management,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Robust approximation to multiperiod inventory management,

Reference 31

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4544efcc-9b78-485e-b74f-6591f3f1ac58 · outbound

This paper cites Distributionally robust optimization under mo- ment uncertainty with application to data-driven problems,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Distributionally robust optimization under mo- ment uncertainty with application to data-driven problems,

Reference 32

Resolution
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b11cdbf0-c058-4261-a705-7376d9ed5146 · outbound

This paper cites Adaptive distributionally robust optimization,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Adaptive distributionally robust optimization,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 87ccbbbc-7b91-4627-a30a-317328891d4c · outbound

This paper cites Ridesourcing systems: A framework and review,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Ridesourcing systems: A framework and review,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:51.146225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:46.940119Z digest=sha256:176ee9fc067190f017a8a454b37828387c8d435ea88ac9b9e25e04e9fa8f60fb

Observation ac95ff4d-5c4b-4f35-8376-db8219647b21 · outbound

This paper cites Shared-vehicle mobility-on-demand systems: a fleet operator’s guide to rebalancing empty vehicles,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Shared-vehicle mobility-on-demand systems: a fleet operator’s guide to rebalancing empty vehicles,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:50.964335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.026444Z digest=sha256:09307b08ecba357b2d6f62d78f6e56cb327086e04ad44ae8299a3d1c57dadf86

Observation f61d5986-e23d-4479-9d33-d4f8ee19826f · outbound

This paper cites Vehicle rebalancing for mobility-on-demand systems with ride-sharing,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Vehicle rebalancing for mobility-on-demand systems with ride-sharing,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:50.798573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.093975Z digest=sha256:3ff98afaf961d9537a36c4f66e8d5c4371ff08bbd9d3f265206cc035b0a3b6b8

Observation 40660957-0d24-4260-b844-994f8202509c · outbound

This paper cites Robotic load balancing for mobility-on-demand systems,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Robotic load balancing for mobility-on-demand systems,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:50.650565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.186995Z digest=sha256:ea35bc4341f77284759038a83c99b171b7385869100c83f53d58d8cd525e4ef3

Observation fb8edd41-550e-4f77-9e56-27b64bd36c9c · outbound

This paper cites Control of robotic mobility-on-demand systems: a queueing-theoretical perspective,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Control of robotic mobility-on-demand systems: a queueing-theoretical perspective,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:50.506284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.276129Z digest=sha256:ee21c4db12965bdb3c090b6c0ec7d921a84fbd2b951141fa019a461a4cb7a7a8

Observation d8c9b526-6083-4237-8628-879d6903d092 · outbound

This paper cites Data-driven distributionally robust vehicle balancing using dynamic region partitions,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Data-driven distributionally robust vehicle balancing using dynamic region partitions,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:50.356589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.375204Z digest=sha256:d0b110fe001a5f49836834c5cb5666b1af009f47852eafce2bf3d49715835c0e

Observation a2994633-f9e3-4a30-8469-f0c0293fe5f4 · outbound

This paper cites Rebalancing shared mobility-on- demand systems: A reinforcement learning approach,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Rebalancing shared mobility-on- demand systems: A reinforcement learning approach,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:50.185471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.468354Z digest=sha256:f1d42a02bc78d91014a868c9109d451b211d0cb6c700e8f15b96a0c298622bbd

Observation a7a6641f-3b3b-41db-b011-1d71e950b673 · outbound

This paper cites Data-driven vehicle rebalancing with predictive prescriptions in the ride-hailing system,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Data-driven vehicle rebalancing with predictive prescriptions in the ride-hailing system,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:50.009206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.569737Z digest=sha256:935aaa61911ae64be944b3da9a2b19aa1938ff04abcf868f956e925b13fd62cf

Observation 4932e147-a8f5-4c51-86f6-0a9f9c08d3de · outbound

This paper cites Risk-aware operation modeling for ride-hailing fleet in order grabbing mode: A distributional reinforce- ment learning approach,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Risk-aware operation modeling for ride-hailing fleet in order grabbing mode: A distributional reinforce- ment learning approach,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:49.854149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.651171Z digest=sha256:67da6340e4adda409a4220d2818d241af0534425e7292731a78cc3c180a4ce4a

Observation fc67b9cc-7d04-45c7-85e4-7b36b17ef898 · outbound

This paper cites Data-driven robust taxi dispatch under demand uncertainties,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Data-driven robust taxi dispatch under demand uncertainties,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:49.719648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.742269Z digest=sha256:ea302fa2fdfd3699bfdd326c1d921c99bcb9977afe1409c2a84c0c79cff87e9a

Observation 82a47886-9155-409d-a3a6-3a7f3e7acc50 · outbound

This paper cites Data-driven distributionally robust vehicle balancing using dynamic region partitions,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Data-driven distributionally robust vehicle balancing using dynamic region partitions,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:49.531280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.807448Z digest=sha256:fa70d270af40c641d21f43831a5afbbe7c246e77148962835690e4fc5fe27c4c

Observation b5e00575-0e89-4fb2-82a0-3dce851295b6 · outbound

This paper cites Time series forecasting using a hybrid arima and neural network model,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Time series forecasting using a hybrid arima and neural network model,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:49.385698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.869718Z digest=sha256:b785aa6b5bf0f71453cfa55678fa7400e909a619eeaee5d1513ced93a1475d9c

Observation 09ab7b4f-5225-4b6e-bb2a-777ea1a6b32d · outbound

This paper cites Data-driven robust optimization for contextual vehicle rebalancing in on-demand ride services under demand uncertainty,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Data-driven robust optimization for contextual vehicle rebalancing in on-demand ride services under demand uncertainty,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:49.221452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:47.946439Z digest=sha256:43837c8f7c4c649e4bd0afd701971fa69c35e74a2a1b4a7840809a1e98410729

Observation 361a419a-97da-4522-a844-150011d4a3c4 · outbound

This paper cites Graph neural network for traffic forecasting: A survey,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Graph neural network for traffic forecasting: A survey,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:49.042082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:48.026177Z digest=sha256:eaffb9f3068631abddc1019bfc00916e09d991c4f11758affaa664422c3326e0

Observation f9e485c1-c6ad-4b94-bd9d-66dc2c343e80 · outbound

This paper cites Lower upper bound estimation method for construction of neural network-based prediction intervals,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Lower upper bound estimation method for construction of neural network-based prediction intervals,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:48.883960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:48.086174Z digest=sha256:f6bab2e6517d27ac94ce51d0a08d9b15505db815ef0c331d1d4128d66c251780

Observation a0cce518-b666-407b-8aca-16a6f5fae229 · outbound

This paper cites Distributionally robust convex optimization,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Distributionally robust convex optimization,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:48.786542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:48.149137Z digest=sha256:db9565da039d69e8e1aa8ced4b51ba56e368cdd148e5c1d81b5b8e30af444079

Observation d90d1acd-ac0d-4070-8964-89f265a5eae0 · outbound

This paper cites Robust stochastic optimization made easy with rsome,.

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems Robust stochastic optimization made easy with rsome,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:51:48.606906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:51:48.208967Z digest=sha256:393284742cd2a5846806174aa25900c56afa518c4b9416b8d0c4bfb9c8b02e81

Pith citing papers

No inbound Pith citation observations are available.