Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-23T08:31:55.910905Z
Paper Citation Record · LEDGER
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective
As of 4 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2412.00167.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact1
- verified fuzzy48
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 64e83993-9e31-467e-9246-3d81a18fb64d · outbound
This paper cites Multi-semantic path representation learning for travel time estimation.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Multi-semantic path representation learning for travel time estimation
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.366918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 49f34b02-07d0-45e9-aa6b-c6f07b2cf4d6 · outbound
This paper cites Trafficpredict: Trajectory prediction for heterogeneous traffic-agents.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Trafficpredict: Trajectory prediction for heterogeneous traffic-agents
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.379800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 87eea90a-a4c6-4470-8c2f-27e719859d5b · outbound
This paper cites Deep multi-view spatial-temporal network for taxi demand prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Deep multi-view spatial-temporal network for taxi demand prediction
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.413809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation df5ca648-6793-443e-9c2e-25f859550239 · outbound
This paper cites Origin- destination matrix prediction via graph convolution: a new perspective of passenger demand modeling.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Origin- destination matrix prediction via graph convolution: a new perspective of passenger demand modeling
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.440270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 96d11d7e-5cfe-4617-abaa-60a71814ca26 · outbound
This paper cites Adaptive graph convolutional recurrent network for traffic forecasting.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Adaptive graph convolutional recurrent network for traffic forecasting
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.308308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c0eed8de-3732-45da-b653-adb472a18f75 · outbound
This paper cites Dynamic and multi- faceted spatio-temporal deep learning for traffic speed forecasting.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Dynamic and multi- faceted spatio-temporal deep learning for traffic speed forecasting
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.354714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 172abdf7-8390-48af-8407-a051ef7768a2 · outbound
This paper cites St-gsp: Spatial-temporal global seman- tic representation learning for urban flow prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective St-gsp: Spatial-temporal global seman- tic representation learning for urban flow prediction
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.360802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf02ce9e-837e-4098-a437-38be328469ac · outbound
This paper cites Road traffic forecasting: Recent advances and new challenges.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Road traffic forecasting: Recent advances and new challenges
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.393366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6bce1eea-4246-4cf9-babc-295d5fbd1ee3 · outbound
This paper cites Continuous- time and multi-level graph representation learning for origin-destination demand prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Continuous- time and multi-level graph representation learning for origin-destination demand prediction
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.348741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 64311134-8a33-4b37-b275-40c37ea71388 · outbound
This paper cites Pattern expansion and consolidation on evolving graphs for continual traffic prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Pattern expansion and consolidation on evolving graphs for continual traffic prediction
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.426942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5e310541-a780-4540-813a-84cd0b74d975 · outbound
This paper cites Bigst: Linear complexity spatio-temporal graph neural network for traffic forecasting on large-scale road networks.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Bigst: Linear complexity spatio-temporal graph neural network for traffic forecasting on large-scale road networks
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.410565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 091b6e74-74bd-4943-ba4e-6dbbea1e00ed · outbound
This paper cites Fogs: First-order gradient supervision with learning-based graph for traffic flow forecasting.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Fogs: First-order gradient supervision with learning-based graph for traffic flow forecasting
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.399944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3676231a-c719-4b12-bbd2-0be9a1b38239 · outbound
This paper cites Dstagnn: Dynamic spatial-temporal aware graph neural network for traffic flow forecasting.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Dstagnn: Dynamic spatial-temporal aware graph neural network for traffic flow forecasting
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.351768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f44d43a3-1ac5-4722-998a-01e24877d8dd · outbound
This paper cites Graph multi-head convolution for spatio-temporal attention in origin destination tensor prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Graph multi-head convolution for spatio-temporal attention in origin destination tensor prediction
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.323757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4598b09e-8fe6-4e68-b021-b37a3b90791c · outbound
This paper cites Multi- attention 3d residual neural network for origin-destination crowd flow prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Multi- attention 3d residual neural network for origin-destination crowd flow prediction
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.396702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 75f02ab2-75d8-41b4-9ec6-961eb351ecd0 · outbound
This paper cites Origin-destination traffic prediction based on hybrid spatio-temporal network.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Origin-destination traffic prediction based on hybrid spatio-temporal network
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.403489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 678a87b8-235f-4dbe-b47b-52640c6c7afb · outbound
This paper cites Predicting origin-destination flow via multi-perspective graph convo- lutional network.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Predicting origin-destination flow via multi-perspective graph convo- lutional network
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.363756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 806a620f-c081-41ea-82e3-2233e3e4ab70 · outbound
This paper cites Taxi origin- destination demand prediction with contextualized spatial-temporal net- work.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Taxi origin- destination demand prediction with contextualized spatial-temporal net- work
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.317495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5e53584b-8a5c-44a0-ba9f-44dcea4795ba · outbound
This paper cites Spatiotemporal virtual graph convolution network for key origin- destination flow prediction in metro system.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Spatiotemporal virtual graph convolution network for key origin- destination flow prediction in metro system
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.390427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 65adf4d2-7c26-430e-bf56-c1455598d90f · outbound
This paper cites Origin-destination matrix prediction via hexagon-based generated graph.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Origin-destination matrix prediction via hexagon-based generated graph
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.339636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c706e414-eaec-41a8-bc88-1b3b97f09410 · outbound
This paper cites Metro od matrix prediction based on multi-view passenger flow evolution trend modeling.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Metro od matrix prediction based on multi-view passenger flow evolution trend modeling
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.320626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f842d07b-43cd-4ac5-9c2d-585b8a738b7a · outbound
This paper cites Explainable origin-destination crowd flow interpolation via variational multi-modal recurrent graph auto-encoder.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Explainable origin-destination crowd flow interpolation via variational multi-modal recurrent graph auto-encoder
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.370116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 31d34e6a-9bdc-4c57-9920-3fcdda0dd8f0 · outbound
This paper cites Commuting patterns: the flow and jump model and supporting data.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Commuting patterns: the flow and jump model and supporting data
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.326787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 21f679ac-bf9e-4089-890a-3653016bcb0d · outbound
This paper cites Intervening opportunities: a theory relating mobility and distance.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Intervening opportunities: a theory relating mobility and distance
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.301345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f07ce282-8fe2-4ba6-bc7b-8fca77b1867d · outbound
This paper cites The p 1 p 2/d hypothesis: on the intercity movement of persons.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective The p 1 p 2/d hypothesis: on the intercity movement of persons
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.443681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ecfc1b01-57b8-486b-9ab9-1072b8997193 · outbound
This paper cites Predicting commuter flows in spatial networks using a radiation model based on temporal ranges.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Predicting commuter flows in spatial networks using a radiation model based on temporal ranges
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.330019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e6bcbf3e-e23c-464a-bba9-8485b98cbcef · outbound
This paper cites A universal model for mobility and migration patterns.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective A universal model for mobility and migration patterns
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.291197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ea47bee9-fa3c-4594-bfba-025dc47cf382 · outbound
This paper cites Physics-infused machine learning for crowd simulation.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Physics-infused machine learning for crowd simulation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.342488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 30cfd17d-ae3d-45a9-8e20-291a1a0fced7 · outbound
This paper cites Human mobility: Models and applications.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Human mobility: Models and applications
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.314418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6e581c7f-cb08-4fdc-a924-c2327ee78de7 · outbound
This paper cites Modelling the scaling properties of human mobility.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Modelling the scaling properties of human mobility
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.430224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 35f418a6-1daa-44a0-9771-becbe3209ab3 · outbound
This paper cites A new set of spatial-interaction models: the theory of competing destinations.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective A new set of spatial-interaction models: the theory of competing destinations
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.304928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7ea3e7cd-739a-45a1-ad69-aa59e4db048d · outbound
This paper cites Web-scale k-means clustering.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Web-scale k-means clustering
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.386722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 71cc788b-f367-4191-99ce-884e1e926c36 · outbound
This paper cites Unsupervised domain adaptation by back- propagation.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Unsupervised domain adaptation by back- propagation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.419854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9dcc2b86-5147-48ef-81ae-dd4e92a3560e · outbound
This paper cites Xgboost: A scalable tree boosting system.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Xgboost: A scalable tree boosting system
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.333582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c180c7a0-197f-4c42-bcba-3092aaa6fe7a · outbound
This paper cites Dynamic graph learning based on hierarchical memory for origin-destination demand prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Dynamic graph learning based on hierarchical memory for origin-destination demand prediction
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.294839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7f861052-1ed3-4855-bd5b-e6bd02eac3d2 · outbound
This paper cites Dynamic hypergraph structure learning for traffic flow forecasting.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Dynamic hypergraph structure learning for traffic flow forecasting
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.383383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0889dfd9-a94d-4f1d-894a-bd5c885f9a2e · outbound
This paper cites Spatio-temporal self-supervised learning for traffic flow prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Spatio-temporal self-supervised learning for traffic flow prediction
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.298236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 63f747e7-8dab-4b1b-8e6e-deb43a1138e2 · outbound
This paper cites Deep multi-scale convolutional lstm network for travel demand and origin-destination predictions.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Deep multi-scale convolutional lstm network for travel demand and origin-destination predictions
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.376284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 21bd0bba-4611-4136-8055-8d19c2bf465f · outbound
This paper cites Contextualized spatial–temporal network for taxi origin-destination demand prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Contextualized spatial–temporal network for taxi origin-destination demand prediction
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.423396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation faecb32d-ecc4-455a-b645-b05a5f2637c4 · outbound
This paper cites Dynamic origin- destination prediction in urban rail systems: A multi-resolution spatio- temporal deep learning approach.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Dynamic origin- destination prediction in urban rail systems: A multi-resolution spatio- temporal deep learning approach
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.357886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a123b246-2b3b-4b18-9daa-b97ead0e4dc2 · outbound
This paper cites Dynamic origin–destination matrix prediction with line graph neural networks and kalman filter.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Dynamic origin–destination matrix prediction with line graph neural networks and kalman filter
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.311399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3fa6d84d-37a9-47cc-ab8b-06ca33fa46a8 · outbound
This paper cites Dneat: A novel dynamic node-edge attention network for origin-destination demand prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Dneat: A novel dynamic node-edge attention network for origin-destination demand prediction
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.345697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 09e73e39-9242-44f5-ae50-3011e0ddb67f · outbound
This paper cites Short-term origin- destination demand prediction in urban rail transit systems: A channel- wise attentive split-convolutional neural network method.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Short-term origin- destination demand prediction in urban rail transit systems: A channel- wise attentive split-convolutional neural network method
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.406888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 634af58b-6a98-4157-9968-cd557d2530bc · outbound
This paper cites Gman: A graph multi-attention network for traffic prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Gman: A graph multi-attention network for traffic prediction
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.372935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9795d296-f20f-480d-9323-186e2d19b7d1 · outbound
This paper cites Multi-stgcnet: A graph convolution based spatial-temporal framework for subway passenger flow forecast- ing.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Multi-stgcnet: A graph convolution based spatial-temporal framework for subway passenger flow forecast- ing
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.336654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 75665151-66c4-4807-924f-71bcd3d6a9e1 · outbound
This paper cites Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:32:44.079983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 684133bb-8dc9-4d3f-8bc7-a7370cf6b6c9 · outbound
This paper cites Temporal multi-graph convolutional network for traffic flow prediction.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Temporal multi-graph convolutional network for traffic flow prediction
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.433619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 14bb8618-3a8c-432a-a559-5c353723de14 · outbound
This paper cites Urban region representation learning with openstreetmap building footprints.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Urban region representation learning with openstreetmap building footprints
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.436832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation abbf31bb-2452-4e49-85a5-e1b3781233cd · outbound
This paper cites Spa- tiotemporal multi-graph convolution network for ride-hailing demand forecasting.
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective Spa- tiotemporal multi-graph convolution network for ride-hailing demand forecasting
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:32:44.416893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.