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Paper Citation Record · LEDGER

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis

As of 22 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 4 inbound Pith citation observations for arXiv:2412.00953.

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

pith.paper-citation-record.v1
2412.00953 v1

Coverage vector

measured 100 of 103 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:54:41.211449Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:06:45.092851Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:49:52.123430Z

Reference resolution

100 of 103 outbound references displayed

  • verified exact8
  • verified fuzzy33
  • unresolved59
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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Outbound references

Observation 26b79377-80ac-484a-be6e-a56155c9414b · outbound

This paper cites Estimating human trajectories and hotspots through mobile phone data,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Estimating human trajectories and hotspots through mobile phone data,

Reference 1

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Observation e45816b8-1945-4cb0-907d-b057a5f31d33 · outbound

This paper cites Precision cityshield against hazardous chemicals threats via location mining and self-supervised learning,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Precision cityshield against hazardous chemicals threats via location mining and self-supervised learning,

Reference 2

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Observation 54894a67-f55b-4ad2-a2fa-801e8fa5830d · outbound

This paper cites Robust road network representation learning: When traffic patterns meet traveling semantics,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Robust road network representation learning: When traffic patterns meet traveling semantics,

Reference 3

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Observation 3e1826ff-8400-4c20-ac57-3d157bdc0db8 · outbound

This paper cites Spatial-temporal hyper- graph self-supervised learning for crime prediction,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Spatial-temporal hyper- graph self-supervised learning for crime prediction,

Reference 4

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Observation 115e9b53-541a-4935-bf54-60a57d02c790 · outbound

This paper cites AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction

Reference 5

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Observation 0b80df54-0c94-450d-8f92-74ceba3ae106 · outbound

This paper cites Dgeye: Probabilistic risk perception and prediction for urban dangerous goods management,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Dgeye: Probabilistic risk perception and prediction for urban dangerous goods management,

Reference 6

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Observation bc4022d6-a790-400b-8c70-2ee8a2857461 · outbound

This paper cites Inferring metapopulation propagation network for intra-city epidemic control and prevention,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Inferring metapopulation propagation network for intra-city epidemic control and prevention,

Reference 7

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Observation 60f75cc8-798d-4b5e-9550-3457fb239105 · outbound

This paper cites No longer sleeping with a bomb: a duet system for protecting urban safety from dangerous goods,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis No longer sleeping with a bomb: a duet system for protecting urban safety from dangerous goods,

Reference 8

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Observation b947d842-c452-4f1b-9ced-8248ec1350e6 · outbound

This paper cites Pre- dicting human mobility via self-supervised disentanglement learning,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Pre- dicting human mobility via self-supervised disentanglement learning,

Reference 9

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Observation 093abd95-d041-411e-baf3-8baf3b14a954 · outbound

This paper cites Trajectory clustering via deep representation learning,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Trajectory clustering via deep representation learning,

Reference 10

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Observation 46d20357-d068-416c-9658-a0b4bd1c57d3 · outbound

This paper cites Robust road network representation learning: When traffic patterns meet traveling semantics,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Robust road network representation learning: When traffic patterns meet traveling semantics,

Reference 11

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Observation 7d44b58a-6a42-4ce9-91a1-f9f2f00aca9e · outbound

This paper cites Jointly contrastive representation learning on road network and trajectory,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Jointly contrastive representation learning on road network and trajectory,

Reference 12

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Observation 7e1a6961-0913-4f61-8e59-ae78b88422ab · outbound

This paper cites More than routing: Joint gps and route modeling for refine trajectory representation learning,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis More than routing: Joint gps and route modeling for refine trajectory representation learning,

Reference 13

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Observation c4043a6e-6402-4205-a2f3-596c6af34c6b · outbound

This paper cites Trembr: Exploring road networks for trajec- tory representation learning,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Trembr: Exploring road networks for trajec- tory representation learning,

Reference 14

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Observation 93697ae9-c924-4ddf-baab-8aa20b193ee0 · outbound

This paper cites Self- supervised trajectory representation learning with temporal regularities and travel semantics,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Self- supervised trajectory representation learning with temporal regularities and travel semantics,

Reference 15

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Observation f34f16f6-232a-44e6-ac99-10f88fb8ef11 · outbound

This paper cites Self-supervised trajectory representation learning with temporal regularities and travel semantics,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Self-supervised trajectory representation learning with temporal regularities and travel semantics,

Reference 16

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Observation e13fe64b-12d2-40d7-b584-42388d568f12 · outbound

This paper cites Con- necting the dots: Multivariate time series forecasting with graph neural networks,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Con- necting the dots: Multivariate time series forecasting with graph neural networks,

Reference 17

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Observation f90bc5ed-928e-4841-97e4-ad500c94f012 · outbound

This paper cites Traffic flow prediction with vehicle trajectories,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Traffic flow prediction with vehicle trajectories,

Reference 18

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Observation 7618fefd-bd71-4a7f-a2a4-7f5a8c119f88 · outbound

This paper cites St-norm: Spatial and temporal normalization for multi-variate time series forecasting,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis St-norm: Spatial and temporal normalization for multi-variate time series forecasting,

Reference 19

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Observation aade8764-2329-4389-b233-520b4ea12470 · outbound

This paper cites Self-supervised spatial-temporal bottleneck attentive network for efficient long-term traffic forecasting,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Self-supervised spatial-temporal bottleneck attentive network for efficient long-term traffic forecasting,

Reference 20

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Observation dd30a7c7-a62e-46d0-8d37-3c1f1ac3618e · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 21

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Observation e6145c00-ad61-4978-af4a-5ab4f7f7a58f · outbound

This paper cites UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

Reference 22

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Observation 186b8977-5461-4a61-9a5b-0d306c230c51 · outbound

This paper cites UrbanGPT: Spatio-Temporal Large Language Models.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis UrbanGPT: Spatio-Temporal Large Language Models

Reference 23

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Observation b3c91bf6-9ea5-44bc-87db-a8c2e30eb30e · outbound

This paper cites Opencity: Open spatio-temporal foundation models for traffic prediction,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Opencity: Open spatio-temporal foundation models for traffic prediction,

Reference 24

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Observation 07ea2248-c3ec-4e85-ad73-e39fd9a5e391 · outbound

This paper cites Unitraj: Universal human trajectory modeling from billion-scale worldwide traces,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Unitraj: Universal human trajectory modeling from billion-scale worldwide traces,

Reference 25

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Observation 6b914815-aa02-449c-8b03-aea0ff41dd22 · outbound

This paper cites TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories

Reference 26

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Observation c2629d7f-b0b0-4b81-ab7c-b40b36439fe7 · outbound

This paper cites City Foundation Models for Learning General Purpose Representations from OpenStreetMap.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis City Foundation Models for Learning General Purpose Representations from OpenStreetMap

Reference 27

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Observation 2e8fad01-40f0-4a69-b6c5-39807964cbeb · outbound

This paper cites A Survey of Large Language Models.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis A Survey of Large Language Models

Reference 28

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Observation 9f0136bd-6425-4856-8225-3b7bcab50771 · outbound

This paper cites Language mod- els are few-shot learners,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Language mod- els are few-shot learners,

Reference 29

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Observation ec09e416-f6b2-4f8d-87f9-e45e84874320 · outbound

This paper cites Language models are unsupervised multitask learners,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Language models are unsupervised multitask learners,

Reference 30

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Observation aa90916d-ae59-4c43-9476-ff1cd6f01599 · outbound

This paper cites Cogvlm: Visual expert for large language models,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Cogvlm: Visual expert for large language models,

Reference 31

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Observation 2630aeed-a8e4-4158-acf0-c88f358de7cc · outbound

This paper cites Pdformer: Propagation delay-aware dynamic long-range transformer for traffic flow predic- tion,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Pdformer: Propagation delay-aware dynamic long-range transformer for traffic flow predic- tion,

Reference 32

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Observation 38d2285d-03c9-45f6-be1d-99ca446405e5 · outbound

This paper cites Traffic flow prediction based on spatiotemporal potential energy fields,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Traffic flow prediction based on spatiotemporal potential energy fields,

Reference 33

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Observation 930168ac-3c18-430b-a7df-40365137f5ab · outbound

This paper cites Stden: Towards physics-guided neural networks for traffic flow prediction,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Stden: Towards physics-guided neural networks for traffic flow prediction,

Reference 34

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Observation 65d3c4ce-9c31-4459-8c48-6e852a3dee9b · outbound

This paper cites Coupling implicit and explicit knowledge for customer volume prediction,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Coupling implicit and explicit knowledge for customer volume prediction,

Reference 35

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 48f698e3-07c6-45d7-bcae-f4ac99b3e215 · outbound

This paper cites Traffic speed prediction and congestion source exploration: A deep learning method,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Traffic speed prediction and congestion source exploration: A deep learning method,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.209368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 01c02053-e3dd-411b-88f5-36ce8a87e4ab · outbound

This paper cites Continuous Trajectory Generation Based on Two-Stage GAN.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Continuous Trajectory Generation Based on Two-Stage GAN

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:54:41.581942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4b2701f8-9dd1-4cf5-885e-41f791d2bd8e · outbound

This paper cites Personalized route recommendation with neural network enhanced search algorithm,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Personalized route recommendation with neural network enhanced search algorithm,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.198560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:40.995284Z digest=sha256:f3d1942885229b8652ad4bc650557974463f0acc1fe9d863d076838736eec280

Observation 243fe5e7-4a1b-420a-a244-8e7b8280ed23 · outbound

This paper cites Learning to effectively estimate the travel time for fastest route recommendation,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Learning to effectively estimate the travel time for fastest route recommendation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.186682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:40.998485Z digest=sha256:d01bc74f03d67bf2e90ad82545030553d0a69e00e86f522e0b63927176b3403f

Observation dc7869b1-282f-4bf9-bfa5-f6ef34214dc0 · outbound

This paper cites Deep trajec- tory recovery with fine-grained calibration using kalman filter,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Deep trajec- tory recovery with fine-grained calibration using kalman filter,

Reference 40

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raw_fallback, observed 2026-08-12T04:54:42.174971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c8eae78b-6952-4e44-ad6b-34e188b6011f · outbound

This paper cites Empowering a* search algorithms with neural networks for personalized route recom- mendation,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Empowering a* search algorithms with neural networks for personalized route recom- mendation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.162790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.005155Z digest=sha256:d2c93f13196cac2575bca50fcbbaf2ce83f5bf295caf4e309aaa9b8248b420a4

Observation 478c5c49-74e5-4ee9-9916-48dccd022593 · outbound

This paper cites Cd-cnn: a partially supervised cross-domain deep learning model for urban resident recognition,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Cd-cnn: a partially supervised cross-domain deep learning model for urban resident recognition,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.151678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.008678Z digest=sha256:9ac87689117b719874c28642d79388ad33605277f31dace77d1df11222d5c864

Observation 7184e1a9-fc8f-426a-81b4-2e93aed6d9c1 · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 43

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no resolver link, observed 2026-08-12T04:54:41.011995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.011995Z digest=sha256:e7a57c8fbff222bf58698919c5ec332baeaddae5b745e2a4424b6db3be47b04e

Observation 860e7914-4e93-494a-bcbc-382bd7bce475 · outbound

This paper cites Adaptive graph convolutional recurrent network for traffic forecasting,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Adaptive graph convolutional recurrent network for traffic forecasting,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.140157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.015599Z digest=sha256:098b00ee01a5b0b61fdc7e70d2ff8b137de0c2c04e3ec3597ef099a2f50a468c

Observation 195c632f-87a2-4189-a344-0ed514c5490e · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.018802Z digest=sha256:6bd1021b6a422d22da8128bb48209ce93d7c3265f757d753a199bd1f68b78fad

Observation 05933719-0d97-4ecc-a8f9-9b481ce1733b · outbound

This paper cites Interpretable spatiotem- poral deep learning model for traffic flow prediction based on potential energy fields,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Interpretable spatiotem- poral deep learning model for traffic flow prediction based on potential energy fields,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.128802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.022551Z digest=sha256:ed72d7ea897f121c76a8443aa1a653441ab8fbb6482b83863c3f096003b2abe3

Observation 337b0d35-a69a-4024-a199-b6269c6ee188 · outbound

This paper cites Revisiting spatial- temporal similarity: A deep learning framework for traffic prediction,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Revisiting spatial- temporal similarity: A deep learning framework for traffic prediction,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.117641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.026060Z digest=sha256:7e046e04444b55b9af246d6142520272cb78d9688e8e53735d48255c1b8503ec

Observation ef7d8d46-7b1e-4c2e-b1a5-b3726a6be944 · outbound

This paper cites Learning dynamics and heterogeneity of spatial-temporal graph data for traffic forecasting,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Learning dynamics and heterogeneity of spatial-temporal graph data for traffic forecasting,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T04:54:41.029427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.029427Z digest=sha256:96a6c9f524c8145bc8c3a7a342730caf5a51be13edae70d44686af3cb31e8dca

Observation fda15d7c-e368-48e5-85c8-b8656d00ee57 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 49

Resolution
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no resolver link, observed 2026-08-12T04:54:41.032659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.032659Z digest=sha256:ed1723f469c14f85d4ed5287369b225d447d1896261c0fe6824351f4409b0af0

Observation 35dfe218-1951-44ca-9e25-3e7a08d66c27 · outbound

This paper cites Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction

Reference 50

Resolution
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no resolver link, observed 2026-08-12T04:54:41.036535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.036535Z digest=sha256:1286a8af8bd76878d01e3809462a0154cea94686a35f441e2acde0dec7eff63a

Observation aaa0e5c2-5bd5-44f4-866b-5d2b2287e9ae · outbound

This paper cites Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning

Reference 51

Resolution
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local_arxiv, observed 2026-08-12T04:54:41.531302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9779a9b9-e798-4fdb-9683-dcce7336ce4c · outbound

This paper cites Full bayesian significance testing for neural networks in traffic forecasting.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Full bayesian significance testing for neural networks in traffic forecasting

Reference 52

Resolution
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raw_fallback, observed 2026-08-12T04:54:42.099606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.043630Z digest=sha256:db3ad82f3884a44c908015fa9ebc55a7d5becbfd6fe34f08472051ae436378f2

Observation b1de1eb5-2c04-4cc5-b060-4904dbb083fa · outbound

This paper cites Pre-training general trajectory embeddings with maximum multi-view entropy cod- ing,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Pre-training general trajectory embeddings with maximum multi-view entropy cod- ing,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.088102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.047181Z digest=sha256:3f30d44cc3d92858d286fc1016684a50e43194707bed917836279f82f7485490

Observation 78543fa8-ea41-4a2c-8035-6859c7200455 · outbound

This paper cites Cstrm: Contrastive self-supervised trajectory representation model for trajectory similarity computation,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Cstrm: Contrastive self-supervised trajectory representation model for trajectory similarity computation,

Reference 54

Resolution
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raw_fallback, observed 2026-08-12T04:54:42.076906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.050550Z digest=sha256:b49a9a71375983028cead7d709b401b0b89153f03e6279ff8deed6202b325058

Observation 3e5ac5b1-a800-4904-8b18-965beeb93594 · outbound

This paper cites Jointly contrastive repre- sentation learning on road network and trajectory,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Jointly contrastive repre- sentation learning on road network and trajectory,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.065615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.054261Z digest=sha256:24877db7276afc4e9a0d0ec3f8cfcd1be661f5b6ac8928137c5e74232c6c0687

Observation 66f9dc0c-2cbc-41a0-ab2c-5bb926f38370 · outbound

This paper cites Unsupervised Path Representation Learning with Curriculum Negative Sampling.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Unsupervised Path Representation Learning with Curriculum Negative Sampling

Reference 56

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no resolver link, observed 2026-08-12T04:54:41.057671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.057671Z digest=sha256:e1572670a7dcabc1b5480c4d7d988dbbcf1f5a3049bdc7e920fcd6654db72ec8

Observation 66f43506-af01-4e3d-bdaf-e6696e863435 · outbound

This paper cites Weakly- supervised temporal path representation learning with contrastive cur- riculum learning,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Weakly- supervised temporal path representation learning with contrastive cur- riculum learning,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.053889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.061392Z digest=sha256:6d8632ab29d6f0c13a09b2a674b66c2b7f31ce11dedbe31aace66d6e46637cdd

Observation a12503b5-99f1-4285-aba7-e6f37e266e0d · outbound

This paper cites When self-attention and topological structure make a difference: Trajectory modeling in road networks,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis When self-attention and topological structure make a difference: Trajectory modeling in road networks,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:42.042613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3537bee5-2ad7-4ce0-93d7-e590cbd55999 · outbound

This paper cites Lightpath: Lightweight and scalable path representation learning,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Lightpath: Lightweight and scalable path representation learning,

Reference 59

Resolution
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raw_fallback, observed 2026-08-12T04:54:42.031897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.068297Z digest=sha256:d35a4c115359ce2670663707158bd4e1c04373d9a0af3f1db1794247733bd467

Observation 148df2ad-10c2-44f1-ac68-75863c2913f8 · outbound

This paper cites Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark].

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.071588Z digest=sha256:229083199cffad9af05e0c5b56d5e2f322015e19cb4201a75348918185ca6250

Observation 454876c7-8aa0-4616-8021-9b2c2149b534 · outbound

This paper cites Attention based spatial- temporal graph convolutional networks for traffic flow forecasting,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Attention based spatial- temporal graph convolutional networks for traffic flow forecasting,

Reference 61

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.075105Z digest=sha256:c1e95475f0c1cfcc2ab760dbca9452874b4b733b50ed568d352682ceced252fb

Observation 6ec4e5a0-2ed3-466d-af4e-a9a3c0897f2e · outbound

This paper cites Dynamic and multi-faceted spatio-temporal deep learning for traffic speed fore- casting,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Dynamic and multi-faceted spatio-temporal deep learning for traffic speed fore- casting,

Reference 62

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raw_fallback, observed 2026-08-12T04:54:42.014031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.078337Z digest=sha256:ead25004f9eda38b5b6362705c16a41da17d7b9cd8c2600e8a8b47cffac6144b

Observation a30a14bc-e639-4a70-b278-b759423e9485 · outbound

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

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Gman: A graph multi-attention network for traffic prediction,

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.081574Z digest=sha256:5311dcd7baae33bb5d5b336852d0616ccba755e7e0b0fbc4ec6e23b42d37df37

Observation 12ccb034-ec02-4055-a270-1868e6c38df2 · outbound

This paper cites Spatio-temporal self-supervised learning for traffic flow prediction,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Spatio-temporal self-supervised learning for traffic flow prediction,

Reference 64

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.084812Z digest=sha256:c9c79ad7f9532a914593d9ce7d9defaaeba36a50a6e3aab46d55c226752fa2a7

Observation be07a709-3f22-47af-8b0e-210cb76d37e7 · outbound

This paper cites Learning effective road network representation with hierarchical graph neural networks,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Learning effective road network representation with hierarchical graph neural networks,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:54:41.990545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2951f8ec-5082-4cc4-bed8-88f672dc13d9 · outbound

This paper cites Spatio-temporal graph neural networks for predictive learning in urban computing: A survey,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Spatio-temporal graph neural networks for predictive learning in urban computing: A survey,

Reference 66

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no resolver link, observed 2026-08-12T04:54:41.091551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.091551Z digest=sha256:ed69b66fde54a757a20da243e2f0d913915e9f79dca0bd9f0ceebf125b81ad75

Observation 22421627-ae84-4de5-bd68-36fc345b4f77 · outbound

This paper cites Trajectory wavenet: A trajectory-based model for traffic forecasting,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Trajectory wavenet: A trajectory-based model for traffic forecasting,

Reference 67

Resolution
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raw_fallback, observed 2026-08-12T04:54:41.972859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.094934Z digest=sha256:d8b9d318a432afeb1d1fa8f0ea959eab2b366e57aad68855d7b1c1e90628b0d3

Observation 575989a1-104d-4fba-a7c2-db640c30f4b0 · outbound

This paper cites Trajnet: A trajectory-based deep learning model for traffic prediction,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Trajnet: A trajectory-based deep learning model for traffic prediction,

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.098069Z digest=sha256:fd35068d9e2962918ae1c090109612f133c1669f313700bf735938368b1b9694

Observation cee93661-0488-4edf-b7f9-9e186b73bf43 · outbound

This paper cites Traffic flow prediction with vehicle trajectories,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Traffic flow prediction with vehicle trajectories,

Reference 69

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raw_fallback, observed 2026-08-12T04:54:41.960603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.101297Z digest=sha256:4ff17b728fd2af8ead9b0632facbe5bd548cc74a5edfd77368d912180de5739e

Observation c4ec26d9-222f-4a00-9d23-6dbe42254758 · outbound

This paper cites VecCity: A Taxonomy-guided Library for Map Entity Representation Learning.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis VecCity: A Taxonomy-guided Library for Map Entity Representation Learning

Reference 70

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local_arxiv, observed 2026-08-12T04:54:41.425241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.107933Z digest=sha256:2b8ead0ed7e8c131c0f4869772127a716125e3ea3f9e9912b45f498fea20c880

Observation 0951844b-9d9b-49cb-8dc9-4d03609068f6 · outbound

This paper cites Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web,

Reference 71

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.111350Z digest=sha256:90b5d7c31cf34e76f9b406dc5125575d195419ec40cddb3066df94b93deb9527

Observation ae630707-963e-4aea-909d-8e31a2136e1f · outbound

This paper cites CityGPT: Empowering Urban Spatial Cognition of Large Language Models.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis CityGPT: Empowering Urban Spatial Cognition of Large Language Models

Reference 72

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:54:41.114467Z digest=sha256:36d5cb2d25e6d4934516a93ac571cf4b3ce9b06f36ddc7138356308b99e638a9

Observation 21ce9bba-8fb9-4b8a-8c93-1bcc3227ccb9 · outbound

This paper cites CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Reference 73

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source=pdf_text observed=2026-08-12T04:54:41.118298Z digest=sha256:1adb328ac2738a1d2f3fff64b433be62c484c0bf723a15787b29d8fd87153b5d

Observation e8511985-cb13-4be6-94b9-07b396f85d2f · outbound

This paper cites Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment

Reference 74

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source=pdf_text observed=2026-08-12T04:54:41.121633Z digest=sha256:7e2ac674bb940027d548dbac7cb81bb238903f63f764096dadccf947cb58f2c8

Observation 8cac5fa2-ca25-4e79-9254-dfcf0bb26eb0 · outbound

This paper cites On-Device User Intent Prediction for Context and Sequence Aware Recommendation.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis On-Device User Intent Prediction for Context and Sequence Aware Recommendation

Reference 75

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local_arxiv, observed 2026-08-12T04:54:41.385328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.125149Z digest=sha256:acb55e3cfe41453a165bfd99447781ad6d19aee0058fcd72c611b33161a6441c

Observation 73155855-8f74-44da-b313-22f93feb8aee · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 76

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:54:41.128759Z digest=sha256:184abc35bba2b89c4001cf2362ab70a8fb966d3084ee6d3a4189443a91b8c0c0

Observation 8b646002-0907-4ec3-9f50-8c5e59d8f868 · outbound

This paper cites One Fits All:Power General Time Series Analysis by Pretrained LM.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis One Fits All:Power General Time Series Analysis by Pretrained LM

Reference 77

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source=pdf_text observed=2026-08-12T04:54:41.132039Z digest=sha256:a20f1ab4e4cc7a6441393af07ae741ff3bfdbfbe2a38b4a3fa92097aa06f7393

Observation 84ada28c-dab9-4dac-8f96-289f290ea9df · outbound

This paper cites Pre-training enhanced spatial- temporal graph neural network for multivariate time series forecasting,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Pre-training enhanced spatial- temporal graph neural network for multivariate time series forecasting,

Reference 78

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:54:41.135545Z digest=sha256:d661f464f9338a59f01f4f6b19a0258c36e6cfd8bdf5d719904315731be507ae

Observation 9c25715e-0ec6-43ef-a526-91c0a0cae4f4 · outbound

This paper cites FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction

Reference 79

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local_arxiv, observed 2026-08-12T04:54:41.351693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.138644Z digest=sha256:4ba67b63494792a0bd22e6db6a423009abe30017d1a10f8652bdfe6af9669670

Observation d30ee7c3-ec16-4b0d-960d-d76835c7447b · outbound

This paper cites Spatial-Temporal Large Language Model for Traffic Prediction.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Spatial-Temporal Large Language Model for Traffic Prediction

Reference 80

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.142121Z digest=sha256:657d2a71bad82bdd29dbce2e2b12ed141fe4adad998d998b6390b38be93f8f59

Observation 616f027e-1a8c-4eda-8e16-7861928344ad · outbound

This paper cites TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:54:41.145799Z digest=sha256:7be60b68df14404ed3fe5a5ce744bb33619c35928b24cedbb2483555ab31bd24

Observation e039f775-fc84-4f83-8e0c-42ff74d87442 · outbound

This paper cites Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing

Reference 82

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local_arxiv, observed 2026-08-12T04:54:41.319191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.149225Z digest=sha256:eb85d8d6cf58f88d5589c79b87b48fe21c08bb28e351959ff05a14e860600d15

Observation 68359463-60a4-43ad-b170-5e1d10eae27c · outbound

This paper cites Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning

Reference 83

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.152736Z digest=sha256:5d3ee7a3674316b4618ebf7f03a442d1a2f3b872c9945a5e96c983c0275d53b5

Observation 03b69dab-5be5-4e83-8155-a45fb6f71f3d · outbound

This paper cites Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Reference 84

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.156127Z digest=sha256:6421ae45bcab498abb00f6be323dfcfd16e6238b0e2aae5388b690028d0f7273

Observation eceff358-8df7-46eb-9ca4-65da2ed264f4 · outbound

This paper cites ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?

Reference 85

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source=pdf_text observed=2026-08-12T04:54:41.159563Z digest=sha256:a87b5b20cd63216a2bc6bcdae19a286d41744d2e1846c6cd74f613b1218b5ccb

Observation 6c33df4c-90e4-4f8d-88c6-40ff3761f6be · outbound

This paper cites Where Would I Go Next? Large Language Models as Human Mobility Predictors.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 86

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source=pdf_text observed=2026-08-12T04:54:41.162904Z digest=sha256:ad681df5a82e24306c43d6e9894c2111eb4a4728e6078fbcf85479eaa8d2291b

Observation 5a95426f-7bdf-43f5-8d33-bc096e24d7a7 · outbound

This paper cites Leveraging language foundation models for human mobility forecasting,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Leveraging language foundation models for human mobility forecasting,

Reference 87

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raw_fallback, observed 2026-08-12T04:54:41.921522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.166256Z digest=sha256:2392a47d33764ec840ae4eeb50e16ab255f1ec62b90e3b653c6437d57bb941a4

Observation 7c21c1db-0842-4640-8277-fa7ac7477813 · outbound

This paper cites TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

Reference 88

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.169573Z digest=sha256:5472039bf86d07528dc3d0623b0f46c24ffae59476e1ac7a84ad4ca31082fbdb

Observation aafceb6a-cc92-4624-96d1-32ce075c7841 · outbound

This paper cites Towards responsible and reliable traffic flow prediction with large language models,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Towards responsible and reliable traffic flow prediction with large language models,

Reference 89

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raw_fallback, observed 2026-08-12T04:54:41.910531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.173761Z digest=sha256:62c3569af9901070de6cba7482c25ab72a9b04cf3a17fd0fe0be5c0fa33298cd

Observation 2fdc9173-2612-4d16-b3f5-ce5453ef0448 · outbound

This paper cites Open-ti: Open traffic intelligence with augmented language model,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Open-ti: Open traffic intelligence with augmented language model,

Reference 90

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raw_fallback, observed 2026-08-12T04:54:41.899255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.177334Z digest=sha256:af723af543e161beb3394ab8f4e96eb9060078cd5878613fc61af2b19a6a1a0e

Observation 727af0d1-d8fb-4bbf-bd01-d8b731106a05 · outbound

This paper cites Graph Attention Networks.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Graph Attention Networks

Reference 91

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source=pdf_text observed=2026-08-12T04:54:41.180628Z digest=sha256:8d5df05ccf0820549730d44d04ec1ede7cdc2bb548bb33935278b743e2b82248

Observation 21ce9847-2263-47bb-bef0-fa1c88e7ded1 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Lora: Low-rank adaptation of large language models,

Reference 92

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source=pdf_text observed=2026-08-12T04:54:41.184127Z digest=sha256:aa81ab616d01ea49e3a776327ad43f94f12efacb1b9b38c07a6750702da31b36

Observation c7319cbf-6b22-477b-8491-1af3de1aad95 · outbound

This paper cites Libcity: An open library for traffic prediction,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Libcity: An open library for traffic prediction,

Reference 93

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raw_fallback, observed 2026-08-12T04:54:41.882761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.190800Z digest=sha256:9f630c6dabd5cb1d327fc77fc02b5ffda3c943515488a69081b806c0210f3b41

Observation 88695929-9367-4ccc-b2c6-746e5ffb33a3 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis LoRA: Low-Rank Adaptation of Large Language Models

Reference 94

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no resolver link, observed 2026-08-12T04:54:41.187406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.187406Z digest=sha256:4efc1a538f865cc8797ee64c562620aaebdb413bbbca7cf0a3f3bf653ac50b89

Observation 095caf41-3331-4243-81da-76c3c8bc3092 · outbound

This paper cites Spatial-temporal graph ode networks for traffic flow forecasting,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Spatial-temporal graph ode networks for traffic flow forecasting,

Reference 95

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.197725Z digest=sha256:034423b01a2f63d9cf6949aedff04aac85b124c32fddf0d298d7afdeeb8e4237

Observation 1b00e793-0aab-4f59-b4eb-4e71fedc7d6c · outbound

This paper cites Deep representa- tion learning for trajectory similarity computation,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Deep representa- tion learning for trajectory similarity computation,

Reference 96

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raw_fallback, observed 2026-08-12T04:54:41.872411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.194320Z digest=sha256:b420e72b533545fc1d90f86d02b8d7c0a414bb52ce70fd09bdf53da6b0e401e8

Observation 0d65af28-36ee-4952-a38f-778f05003e4e · outbound

This paper cites Rntrajrec: Road network enhanced trajectory recovery with spatial-temporal transformer,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Rntrajrec: Road network enhanced trajectory recovery with spatial-temporal transformer,

Reference 97

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raw_fallback, observed 2026-08-12T04:54:41.842234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.204916Z digest=sha256:18981e5f44d117a1cbcee455b98171997bbbd9425c084dccf2274bc2c7177694

Observation 9890dfbe-dd15-480d-a1cf-3d979279cab4 · outbound

This paper cites Mtrajrec: Map-constrained trajectory recovery via seq2seq multi-task learning,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Mtrajrec: Map-constrained trajectory recovery via seq2seq multi-task learning,

Reference 98

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raw_fallback, observed 2026-08-12T04:54:41.854684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.201531Z digest=sha256:cdd742c4e8261dc621214b5c75e2df1b21b254ef05371dfb2d81720f9088b7d8

Observation 2255eb95-f904-4e34-b7b0-94887e1d9f37 · outbound

This paper cites Discovering similar multi- dimensional trajectories,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Discovering similar multi- dimensional trajectories,

Reference 99

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raw_fallback, observed 2026-08-12T04:54:41.819385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.211449Z digest=sha256:51899062daf7b59de75c8267e51075ba17444bc99aa930ff37d8d7636e377495

Observation 1c0fede1-11c8-46fa-b394-f4e683fdd944 · outbound

This paper cites Efficient retrieval of similar time sequences under time warping,.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Efficient retrieval of similar time sequences under time warping,

Reference 100

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raw_fallback, observed 2026-08-12T04:54:41.831040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:54:41.208270Z digest=sha256:1dc4ac964f45214e38e8554fd8a5e2c0c85b7f3b2a8d4e1990df150569fe6bb6

Pith citing papers

Observation 132c6fbf-4664-4e11-9bc1-fbe7f1905430 · inbound

Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning cites this paper.

Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis

Reference 51

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no resolver link, observed 2026-08-08T19:16:59.993154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:16:59.993154Z digest=sha256:9cd13915d6610cf93af16be539a6bf18436ddc0d5d5c60264c4a930d71bd0152

Observation d57bcdf3-bccf-4ebb-897a-bacef79d60f9 · inbound

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning cites this paper.

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis

Reference 42

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no resolver link, observed 2026-08-07T19:42:13.865572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:42:13.865572Z digest=sha256:328cc2619ef11980e560aad061bdf624b7f8497d966a012a95c9b38eb386702d

Observation ee42e290-2565-40d6-8e0f-80bb92eb91f5 · inbound

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review cites this paper.

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis

Reference 235

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verified exact
local_arxiv, observed 2026-08-07T11:49:52.210304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:49:51.799083Z digest=sha256:6304e7267105a9fa114d2cda8fe71242b97dc66d8a7885b11247afd182d42f38

Observation 5e6142f0-363c-452e-bf2c-cb31936ce9b8 · inbound

Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining? cites this paper.

Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining? BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis

Reference 37

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no resolver link, observed 2026-08-15T17:06:45.092851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:06:45.092851Z digest=sha256:bee55318b63255cfa6dc97db6aeab3cf249976eb88ab1c26c9c228b52ea532e2