Paper Citation Record · LEDGER

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics

As of 13 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2411.14014.

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

pith.paper-citation-record.v1
2411.14014 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

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measured 47 of 47 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T06:36:20.078866Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T06:38:05.740492Z

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation ff6b1ba2-20ad-419f-92e1-53640d897445 · outbound

This paper cites In- terpreting trajectories from multiple views: A hierarchical self-attention network for estimating the time of arrival,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics In- terpreting trajectories from multiple views: A hierarchical self-attention network for estimating the time of arrival,

Reference 1

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Observation cb5ae772-92a5-4972-b48f-7dad2483cfc5 · outbound

This paper cites Dual graph convolution architecture search for travel time estimation,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Dual graph convolution architecture search for travel time estimation,

Reference 2

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Observation c688f5ee-af11-42fb-8ec5-f91b3786b559 · outbound

This paper cites Travel time distribution estimation by learning representations over temporal attributed graphs,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Travel time distribution estimation by learning representations over temporal attributed graphs,

Reference 3

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Observation f9a48153-c28b-4f7a-95f0-1a607a989201 · outbound

This paper cites Destination prediction by trajectory distribution-based model,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Destination prediction by trajectory distribution-based model,

Reference 4

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Observation c7afd53d-3c2a-4add-9eff-775e395b2b90 · outbound

This paper cites Destination prediction based on virtual POI docks in dockless bike-sharing system,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Destination prediction based on virtual POI docks in dockless bike-sharing system,

Reference 5

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Observation fb072cf7-520e-4e79-a11f-e4014fb7a211 · outbound

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

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics How machine learning informs ride-hailing services: A survey,

Reference 6

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Observation fc7bbac7-bdfa-4730-8097-6d07679284f5 · outbound

This paper cites Spatio-temporal trajectory similarity learning in road networks,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Spatio-temporal trajectory similarity learning in road networks,

Reference 7

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Observation 057770b7-aa39-478f-9406-d461f90dad6c · outbound

This paper cites Trajgat: A graph- based long-term dependency modeling approach for trajectory similarity computation,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Trajgat: A graph- based long-term dependency modeling approach for trajectory similarity computation,

Reference 8

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Observation 38918187-79e3-41cc-99a8-baabb4df426c · outbound

This paper cites KGTS: contrastive trajectory similarity learning over prompt knowl- edge graph embedding,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics KGTS: contrastive trajectory similarity learning over prompt knowl- edge graph embedding,

Reference 9

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Observation 4530f98a-9f92-4c48-a979-00dedae84f9f · outbound

This paper cites Contrastive trajectory simi- larity learning with dual-feature attention,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Contrastive trajectory simi- larity learning with dual-feature attention,

Reference 10

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Observation f0f25766-285b-435e-ab4e-d894aa3e4e71 · outbound

This paper cites Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding

Reference 11

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Observation 0611a0b5-c1e8-46ed-8f5e-3061b3c45aa9 · outbound

This paper cites Efficient trajectory similarity computation with contrastive learning,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Efficient trajectory similarity computation with contrastive learning,

Reference 12

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Observation c63a428f-fa19-478a-b982-06aee927e69d · outbound

This paper cites Deep representation learning for trajectory similarity computation,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Deep representation learning for trajectory similarity computation,

Reference 13

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Observation 9d3bf49e-3e1d-4100-9fbf-3aff652c95c6 · outbound

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

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Self-supervised trajectory representation learning with temporal regularities and travel semantics,

Reference 14

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Observation 104629be-4b92-4564-b914-59ea61b4da11 · outbound

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

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Lightpath: Lightweight and scalable path representation learning,

Reference 15

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Observation 9f4b21df-aaaf-4ce7-b07c-6d38c646f1a8 · outbound

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

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Jointly contrastive representation learning on road network and trajectory,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:27.004878Z

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Observation 1afa6e47-2ba2-4fa0-b718-ca80fb83017a · outbound

This paper cites Trembr: Exploring road networks for trajectory representation learning,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Trembr: Exploring road networks for trajectory representation learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:26.967470Z

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Observation c2fbf785-d329-43b3-924b-26e99911623e · outbound

This paper cites Fast map matching, an algorithm integrating hidden markov model with precomputation,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Fast map matching, an algorithm integrating hidden markov model with precomputation,

Reference 18

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Observation ba8b742f-0d29-414a-a87b-065f5e57892b · outbound

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

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Pre-training general trajectory embeddings with maximum multi-view entropy cod- ing,

Reference 19

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This paper cites Attention is all you need,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Attention is all you need,

Reference 20

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Observation c418882a-3cea-4a76-826e-0ac1802e864c · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Masked autoencoders are scalable vision learners,

Reference 21

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Observation 8067a6dd-e2df-4f24-b47f-0488d2197451 · outbound

This paper cites Masked autoencoders as spatiotemporal learners,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Masked autoencoders as spatiotemporal learners,

Reference 22

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Observation 5b53cda0-664a-41ef-8005-57b6230ced0c · outbound

This paper cites Mavil: Masked audio-video learners,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Mavil: Masked audio-video learners,

Reference 23

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Observation 4232c3e7-e6da-4257-84e3-510b951c29ba · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics BERT: pre-training of deep bidirectional transformers for language understanding,

Reference 24

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Observation 6bf6a492-b74d-4e84-8a5d-677f3743a712 · outbound

This paper cites Masked siamese networks for label-efficient learning,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Masked siamese networks for label-efficient learning,

Reference 25

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Observation 05f49fa3-7175-4506-afc2-d8d75fd49a11 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 26

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This paper cites Root mean square layer normalization,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Root mean square layer normalization,

Reference 27

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Observation 8f58c718-bacb-4e52-bc7e-5e54f45043dc · outbound

This paper cites With a little help from my friends: Nearest-neighbor contrastive learning of visual representations,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics With a little help from my friends: Nearest-neighbor contrastive learning of visual representations,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:26.648437Z

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Observation 5cee4e4e-6c55-4bac-affa-11fa7bdabedf · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Representation Learning with Contrastive Predictive Coding

Reference 29

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Observation 76bdf3a0-5109-4b7d-9b80-7c2404ac9ef6 · outbound

This paper cites Trajectory similarity learning with auxiliary supervision and optimal matching,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Trajectory similarity learning with auxiliary supervision and optimal matching,

Reference 30

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Observation be82ff57-18f0-4039-9e7c-b57351fc3b0e · outbound

This paper cites T3S: effective representation learning for trajectory similarity computation,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics T3S: effective representation learning for trajectory similarity computation,

Reference 31

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Observation 9c5157ee-3aa2-4373-8b4f-312ca20ed72e · outbound

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

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Weakly- supervised temporal path representation learning with contrastive cur- riculum learning,

Reference 32

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Observation daa1cbef-5c1a-44c8-a598-2790b1c33c21 · outbound

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

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Robust road network representation learning: When traffic patterns meet traveling semantics,

Reference 33

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This paper cites Deepwalk: online learning of social representations,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Deepwalk: online learning of social representations,

Reference 34

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Observation 3952201a-4ecb-464e-b5a3-f3a7216a4896 · outbound

This paper cites Bootstrap your own latent - A new approach to self-supervised learning,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Bootstrap your own latent - A new approach to self-supervised learning,

Reference 35

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Observation 84f5047b-2e17-4370-8285-36f86873687d · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics A simple framework for contrastive learning of visual representations,

Reference 36

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Observation 551efb0c-1c4c-4c70-906d-3f4b1e4ba3df · outbound

This paper cites node2vec: Scalable feature learning for networks,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics node2vec: Scalable feature learning for networks,

Reference 37

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Observation 3e072d8f-f78b-4169-84ab-4b5773757cfe · outbound

This paper cites Metacitta: Deep meta-learning for spatio-temporal prediction across cities and tasks,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Metacitta: Deep meta-learning for spatio-temporal prediction across cities and tasks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:26.366720Z

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Observation fa865bcd-eb2d-45e1-a424-e2e3633f47ec · outbound

This paper cites Multi-scale representation learning for spatial feature distributions using grid cells,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Multi-scale representation learning for spatial feature distributions using grid cells,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:26.327027Z

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Observation 95fcf570-18a8-4b0b-a3d9-54e29a7a2857 · outbound

This paper cites Tile2vec: Unsupervised representation learning for spatially distributed data,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Tile2vec: Unsupervised representation learning for spatially distributed data,

Reference 40

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Observation 6d64c834-0b7a-4a38-9c56-1d5064663597 · outbound

This paper cites Beyond the first law of geography: Learning representations of satellite imagery by leveraging point-of-interests,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Beyond the first law of geography: Learning representations of satellite imagery by leveraging point-of-interests,

Reference 41

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Observation 0fe675dc-1404-47d8-929b-19cc5076de4b · outbound

This paper cites A survey on map-matching algorithms,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics A survey on map-matching algorithms,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:26.229668Z

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Observation 91ac4c12-8125-4283-835e-0baf4c1ae899 · outbound

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

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Learning effective road network representation with hierarchical graph neural networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:26.203670Z

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Observation 2d8cb5b0-3404-443c-ad11-34aebefe076f · outbound

This paper cites On representation learning for road networks,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics On representation learning for road networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:26.172233Z

Source-reported events for the cited work

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Observation 1105c11f-d9c1-40fe-97fe-de26de6797ec · outbound

This paper cites Unsupervised path representation learning with curriculum negative sampling,.

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics Unsupervised path representation learning with curriculum negative sampling,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:26.130092Z

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Observation 7ff0a6d8-67ed-4761-8fd4-b185d7cdff18 · outbound

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

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics More than routing: Joint GPS and route modeling for refine trajectory representation learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:26.102481Z

Source-reported events for the cited work

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Pith citing papers

Observation c57ad470-fd79-4d07-b77e-8bb2caf3f665 · inbound

TrajTok: Adaptive Spatial Tokenization for Trajectory Representation Learning cites this paper.

TrajTok: Adaptive Spatial Tokenization for Trajectory Representation Learning Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics

Reference 20

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Source-reported events for the cited work

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