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Paper Citation Record · LEDGER

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning

As of 7 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2510.14819.

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

pith.paper-citation-record.v1
2510.14819 v3

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:33:27.896579Z

measured 84 of 84 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

84 of 84 outbound references displayed

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Outbound references

Observation a519bbac-69e8-48d3-aef6-8ce0e3271971 · outbound

This paper cites Trajectory data mining: an overview,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Trajectory data mining: an overview,

Reference 1

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Observation d9508dcd-9f22-48e1-801a-53532b075555 · outbound

This paper cites A survey on trajectory data management, analytics, and learning,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning A survey on trajectory data management, analytics, and learning,

Reference 2

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Observation f6b1c7f0-b7ce-49c4-922c-b27af1a4ef37 · outbound

This paper cites Deep learning for spatio-temporal data mining: A survey,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Deep learning for spatio-temporal data mining: A survey,

Reference 3

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Observation c0531169-7ba0-4c71-bcb4-b2961764761e · outbound

This paper cites Citywide estimation of travel time distributions with bayesian deep graph learning,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Citywide estimation of travel time distributions with bayesian deep graph learning,

Reference 4

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Observation 41b81738-a579-44f0-a2f9-4dec199669c6 · outbound

This paper cites Beyond the limits of predictability in human mobility prediction: Context-transition predictability,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Beyond the limits of predictability in human mobility prediction: Context-transition predictability,

Reference 5

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Observation 1f9c91de-3098-4b2f-a51c-a680493b7126 · outbound

This paper cites Spatio-temporal trajectory similarity measures: A comprehensive survey and quantitative study,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Spatio-temporal trajectory similarity measures: A comprehensive survey and quantitative study,

Reference 6

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Observation 3c2bc5cb-7120-467b-8b95-980fd37d1b7e · outbound

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

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Jointly contrastive representation learning on road network and trajectory,

Reference 7

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Observation 78d908b4-f7a6-4fec-8b66-66663da26664 · outbound

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

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Lightpath: Lightweight and scalable path representation learning,

Reference 8

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Observation 4c073ad3-89a2-4fea-bcb3-31c19ffcaf7e · outbound

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

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Self-supervised trajectory representation learning with temporal regularities and travel semantics,

Reference 9

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Observation adf11c60-8bd8-4625-9e0a-408cc676f175 · outbound

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

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Trembr: Exploring road networks for trajectory representation learning,

Reference 10

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Observation 47233ea5-647d-4f08-aa8b-754d7c642c40 · outbound

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

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Unsupervised path representation learning with curriculum negative sampling,

Reference 11

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Observation be30f8af-1978-4bb4-b702-c69f7ee4c8f0 · outbound

This paper cites Long short-term memory,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Long short-term memory,

Reference 12

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Observation e3f46417-fec8-4998-9fff-e95d8c3cc1a6 · outbound

This paper cites Learning phrase representations using rnn encoder- decoder for statistical machine translation,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Learning phrase representations using rnn encoder- decoder for statistical machine translation,

Reference 13

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Observation 961fbb5e-7444-4912-b40e-3046884d217b · outbound

This paper cites Attention is all you need,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Attention is all you need,

Reference 14

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Observation cea13c3e-c602-4cf5-b728-8d41eb649b8b · outbound

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

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Robust road network representation learning: When traffic patterns meet traveling semantics,

Reference 15

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Observation ac4a6a66-1fd8-4989-89f5-9a8ba63e3e60 · outbound

This paper cites Graph attention networks,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Graph attention networks,

Reference 16

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Observation 18d2730d-2c3f-4f46-bedb-443e084bae5a · outbound

This paper cites Grid and road expressions are complementary for trajectory representation learning,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Grid and road expressions are complementary for trajectory representation learning,

Reference 17

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Observation c2e8b0fe-6c71-46e0-bb5f-9939f0035212 · outbound

This paper cites Route choice modeling: past, present and future research directions,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Route choice modeling: past, present and future research directions,

Reference 18

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Observation 8b9a723c-0f3e-44fa-966e-344553fc80ea · outbound

This paper cites Understanding individual routing behaviour,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Understanding individual routing behaviour,

Reference 19

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Observation 59991852-83e9-4fc0-a475-56f0a277dc75 · outbound

This paper cites Deepseekmoe: Towards ultimate expert specialization in mixture-of-experts language models,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Deepseekmoe: Towards ultimate expert specialization in mixture-of-experts language models,

Reference 20

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Observation 4568edec-dfe0-4685-ba4b-f37c7941c06a · outbound

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

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning A simple framework for contrastive learning of visual representations,

Reference 21

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Observation b6ec3cfd-dc91-4167-840a-50977850ea63 · outbound

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

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Deep representation learning for trajectory similarity computation,

Reference 22

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Observation 78b0d5bf-94bf-486a-bc24-54db3abdb71b · outbound

This paper cites Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach,

Reference 23

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Observation efe6480d-dc30-4480-b6af-283a6e650600 · outbound

This paper cites A graph-based approach for trajectory similarity computation in spatial networks,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning A graph-based approach for trajectory similarity computation in spatial networks,

Reference 24

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Observation 45da55e8-938d-45ee-bf00-5ee40c0dfd23 · outbound

This paper cites When will you arrive? estimating travel time based on deep neural networks,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning When will you arrive? estimating travel time based on deep neural networks,

Reference 25

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Observation 2df1aa35-580f-433a-abe3-6654ebb8be70 · outbound

This paper cites Learning to estimate the travel time,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Learning to estimate the travel time,

Reference 26

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Observation 15414d25-2c69-425b-9caa-4542e68ecdd8 · outbound

This paper cites Constgat: Contextual spatial-temporal graph attention network for travel time estimation at baidu maps,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Constgat: Contextual spatial-temporal graph attention network for travel time estimation at baidu maps,

Reference 27

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Observation 389f3ca2-f628-4d27-ad58-5649175a6789 · outbound

This paper cites Red: Effective trajectory representation learning with comprehensive information,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Red: Effective trajectory representation learning with comprehensive information,

Reference 28

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Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning More than routing: Joint gps and route modeling for refine trajectory representation learning,

Reference 29

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This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 30

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Observation db463167-dd75-4e99-930a-20b4c222afb5 · outbound

This paper cites Bridging traffic state and trajectory for dynamic road network and trajectory representation learning,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Bridging traffic state and trajectory for dynamic road network and trajectory representation learning,

Reference 31

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Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Learning embeddings of intersections on road networks,

Reference 32

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Observation 4cfcf477-751e-49d2-b96f-b2accb30f674 · outbound

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Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning On representation learning for road networks,

Reference 33

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Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning node2vec: Scalable feature learning for networks,

Reference 34

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This paper cites Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics

Reference 35

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Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning A comprehensive survey on graph neural networks,

Reference 36

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Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Relational fusion networks: Graph convolutional networks for road networks,

Reference 37

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Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Semi-supervised classification with graph convolutional networks,

Reference 38

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Observation db515e10-f11b-4727-8e6d-fe9553d6669c · outbound

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

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Learning effective road network representation with hierarchical graph neural networks,

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Observation 639836df-47ec-41d3-a663-5f5e602ed6fa · outbound

This paper cites Road network representation learning: A dual graph-based approach,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Road network representation learning: A dual graph-based approach,

Reference 40

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Observation 2347f28d-bcdf-44c2-8e59-6d3ba356fb90 · outbound

This paper cites A survey on hypergraph representation learning,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning A survey on hypergraph representation learning,

Reference 41

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source=pdf_text observed=2026-08-04T09:33:22.477243Z digest=sha256:a0e1e6bc35adf92da89a490fbe8d5d067299d42ffcd713562356cc3c0f3f642d

Observation b039d100-884e-4f31-be56-2adadfbc3190 · outbound

This paper cites Spatial structure-aware road network embedding via graph contrastive learning,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Spatial structure-aware road network embedding via graph contrastive learning,

Reference 42

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source=pdf_text observed=2026-08-04T09:33:22.564914Z digest=sha256:c8e9a37a30a5a1f7b3f688636c0efb589f168b40c97cebd1293432d16fbad61e

Observation 1e27bcd3-e3da-4972-b304-4931e203991d · outbound

This paper cites Graph contrastive learning with adaptive augmentation,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Graph contrastive learning with adaptive augmentation,

Reference 43

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source=pdf_text observed=2026-08-04T09:33:22.656524Z digest=sha256:5fc399e3beaaaedb27711b2b4351a63f922f8333488034c134d26e265f4d9389

Observation 4d461478-4a50-4d04-b467-3171afb1f7c8 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Training language models to follow instructions with human feedback,

Reference 44

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source=pdf_text observed=2026-08-04T09:33:22.749799Z digest=sha256:a930eef8fb44a27fa5c3bce82bf31a1691647f79dcde9e9ede756a89addb9b0e

Observation a7fa9fca-a3e9-421b-a908-ff809549ea66 · outbound

This paper cites Large language models as urban residents: An llm agent framework for personal mobility generation,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Large language models as urban residents: An llm agent framework for personal mobility generation,

Reference 45

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source=pdf_text observed=2026-08-04T09:33:22.838975Z digest=sha256:e9113dcd8b22392f9210c763c0c6e59fa0183b180514c82f92f64aee0f2fdeb4

Observation 00f73cea-7623-4c16-b19c-7ba48758b678 · outbound

This paper cites Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs

Reference 46

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source=pdf_text observed=2026-08-04T09:33:22.909742Z digest=sha256:e338d09c2c08f110972fbcd68b051811e0953eb030241f1009b69deb46072d87

Observation 1ef74bf5-2a6c-451e-ad16-688066469583 · outbound

This paper cites AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction

Reference 47

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source=pdf_text observed=2026-08-04T09:33:22.961325Z digest=sha256:5d2cf9afe941ce87ba2fb2fb8986071b50b6bee821776e34d66383c4578b334a

Observation dc16f4e0-22e9-4607-9f6e-14398f7f2e40 · outbound

This paper cites Mobility-llm: Learning visiting intentions and travel preference from human mobility data with large language models,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Mobility-llm: Learning visiting intentions and travel preference from human mobility data with large language models,

Reference 48

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source=pdf_text observed=2026-08-04T09:33:23.064408Z digest=sha256:c142eda76cb36c563733e8cf7a0399ed8f2fc584a9a07a1db2cb6e71c6c3b354

Observation 7ebf46bd-7654-4729-ada0-c01d928b0e53 · outbound

This paper cites Large language models for next point-of-interest recommendation,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Large language models for next point-of-interest recommendation,

Reference 49

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source=pdf_text observed=2026-08-04T09:33:23.127257Z digest=sha256:fd2a82ff5c28901bd65c30fc8afa7b231096e855f90b964fb9f97c8174fb09d4

Observation 75e20385-46a7-4c87-b6bb-cb2cfbe17269 · outbound

This paper cites Poi-enhancer: An llm-based semantic enhancement framework for poi representation learning,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Poi-enhancer: An llm-based semantic enhancement framework for poi representation learning,

Reference 50

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source=pdf_text observed=2026-08-04T09:33:23.177553Z digest=sha256:c978efc249d0fe58ef13b66fdff6db39af2bfbff0137fcd171102987a908f413

Observation 09c888e4-70e3-4b63-86e6-094a689581ef · outbound

This paper cites Promptst: Prompt-enhanced spatio-temporal multi- attribute prediction,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Promptst: Prompt-enhanced spatio-temporal multi- attribute prediction,

Reference 51

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Observation 263e6d0b-bc4d-4b9b-84a8-b3719792319c · outbound

This paper cites Urbangpt: Spatio-temporal large language models,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Urbangpt: Spatio-temporal large language models,

Reference 52

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source=pdf_text observed=2026-08-04T09:33:23.331055Z digest=sha256:a1f094468e9065357537ee3b184ef5205caf5687bcd0dc02fe81b4f5d884064c

Observation b83f09cf-4467-46b3-adb0-516ff2b75c19 · outbound

This paper cites Unist: A prompt-empowered universal model for urban spatio-temporal prediction,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Unist: A prompt-empowered universal model for urban spatio-temporal prediction,

Reference 53

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source=pdf_text observed=2026-08-04T09:33:23.411766Z digest=sha256:a1e3448c0a4d8ea79aa39c0565706359fb48ca091cb3f22da69754f5a21e624b

Observation c2fb8806-380f-432a-8c04-5edbfe365776 · outbound

This paper cites Trajcogn: Leveraging llms for cognizing movement patterns and travel purposes from trajectories,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Trajcogn: Leveraging llms for cognizing movement patterns and travel purposes from trajectories,

Reference 54

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source=pdf_text observed=2026-08-04T09:33:23.493153Z digest=sha256:0d600465159ed984eb28415590b2b0ffb9f9a14f90d147afc4cd35903ee45f61

Observation 0a7514b0-6486-4bcf-995c-9501b1f81029 · outbound

This paper cites Hillier and J.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Hillier and J

Reference 55

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source=pdf_text observed=2026-08-04T09:33:23.545812Z digest=sha256:c156723041d6a721aeab17a7f83f06b03e2ab04db41ad00375580a4c2cc01404

Observation 0d2cdfd2-a6dc-4f66-a7c6-a0b7e5635dee · outbound

This paper cites Qwen3 Technical Report.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Qwen3 Technical Report

Reference 56

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source=pdf_text observed=2026-08-04T09:33:23.630187Z digest=sha256:08571995dff273419eec1646945ccb5a83881518b038a9164a51736987c632f6

Observation a66cf1f0-a8fb-4335-9dd5-8a954c5ca411 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 57

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source=pdf_text observed=2026-08-04T09:33:23.719057Z digest=sha256:b52e49c4de429e367a27fab1fdd736ba74bac443e17d0ddddf52b39cb8831551

Observation 8f2650a3-fee1-4307-a1ec-462506380ad1 · outbound

This paper cites The nature of cities,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning The nature of cities,

Reference 58

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source=pdf_text observed=2026-08-04T09:33:23.840049Z digest=sha256:13a0f20435c93fcc0f00b57810b00048af316e6cf00058105c79169756e862d5

Observation 9dc194cc-350e-4ab1-ad33-26410ae4072c · outbound

This paper cites Discovering regions of different functions in a city using human mobility and pois,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Discovering regions of different functions in a city using human mobility and pois,

Reference 59

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source=pdf_text observed=2026-08-04T09:33:23.974349Z digest=sha256:24b7f4c6afbb55e441952802a9fa43b781063424c10ac730c5c93d55ad45ce13

Observation 782641a4-5c2c-40a4-bc20-3079aea3d2e4 · outbound

This paper cites Modeling and analyzing urban networks and amenities with osmnx,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Modeling and analyzing urban networks and amenities with osmnx,

Reference 60

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source=pdf_text observed=2026-08-04T09:33:24.146291Z digest=sha256:9ccadd7ac1f02efcb64b332114a5884b2a49a55106202b438d0ba810cc5f8231

Observation c6ac05ec-1022-41eb-898f-fd72343dafdf · outbound

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

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Fast map matching, an algorithm integrating hidden markov model with precomputation,

Reference 61

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source=pdf_text observed=2026-08-04T09:33:24.286693Z digest=sha256:4689b6ca29e0a2dedb070d8d9d7eb30a1f161eddaab0f6b49b544a7aa868a41e

Observation 68d8f4c0-d859-42e2-ad9d-bd97b64d86ec · outbound

This paper cites Continuous trajectory generation based on two-stage gan,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Continuous trajectory generation based on two-stage gan,

Reference 62

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source=pdf_text observed=2026-08-04T09:33:24.411183Z digest=sha256:d39332658936b22c66a94074bdafb595a911bf696f0ba8aae9bf9d62d3a4cac4

Observation fe3ff63e-8f3d-4890-acdc-c3820dc00306 · outbound

This paper cites Spa- tiotemporal gated traffic trajectory simulation with semantic-aware graph learning,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Spa- tiotemporal gated traffic trajectory simulation with semantic-aware graph learning,

Reference 63

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source=pdf_text observed=2026-08-04T09:33:24.563713Z digest=sha256:bb851cb7184a5ac72bcd2e7b4cc12c0d5d7809203af223b0281ef997b56f7560

Observation cb9e1f30-4c7f-4440-b056-56371e377537 · outbound

This paper cites Holistic semantic representation for navigational trajectory generation,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Holistic semantic representation for navigational trajectory generation,

Reference 64

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source=pdf_text observed=2026-08-04T09:33:24.723091Z digest=sha256:e7c5a5c958cc7d3c93eda7aeb5186e4f228aba1bb3540c1cc5d1c571e45f14aa

Observation e272ea1e-7d9b-44d3-ab62-46543a54fbe6 · outbound

This paper cites Decoupled weight decay regularization,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Decoupled weight decay regularization,

Reference 65

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source=pdf_text observed=2026-08-04T09:33:24.845084Z digest=sha256:72e1b5a555a8195b6651aad19642233804461cc1f2eecd92791d38aadbc9487f

Observation 9b141702-ae1a-4141-ab7d-db92d6520a43 · outbound

This paper cites Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Reference 66

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source=pdf_text observed=2026-08-04T09:33:24.953562Z digest=sha256:333069799db042414c7a7d0f4b0236729c5c48699b645f1dc3ad0673fb6dbc06

Observation 227ac83b-8cf5-4da4-8818-1ea575ea5e3f · outbound

This paper cites Context-aware path ranking in road networks,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Context-aware path ranking in road networks,

Reference 67

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source=pdf_text observed=2026-08-04T09:33:25.118752Z digest=sha256:23d9cc4ce8080d1eaaa9101b652b9646fd8aae0ebf5e0e18f7606478d7a50fa1

Observation 2c33303a-5055-45ae-89be-bcfdabcdd740 · outbound

This paper cites A new measure of rank correlation,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning A new measure of rank correlation,

Reference 68

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source=pdf_text observed=2026-08-04T09:33:25.277322Z digest=sha256:585f4e98f6b4961375393478b7290d69da9c82c10707edaf1cadb1d62a1a54c8

Observation adb034e1-bb2e-4552-89a3-f6a1ef6c8474 · outbound

This paper cites The proof and measurement of association between two things,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning The proof and measurement of association between two things,

Reference 69

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source=pdf_text observed=2026-08-04T09:33:25.431870Z digest=sha256:59178cdc4828ffe939ac04c8d66c94c77be07edff7eeb94f647ecc4e0a8c6ee2

Observation fa87a262-58f5-457f-9d5d-37b7b2665ed8 · outbound

This paper cites Distributed trajectory similarity search,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Distributed trajectory similarity search,

Reference 70

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source=pdf_text observed=2026-08-04T09:33:25.589069Z digest=sha256:766feb55adf285f461d84be8b676037809a5cb23689aa67b23400e306fcb9ce3

Observation 5211a601-b93e-44ef-ae84-136f33932fa3 · outbound

This paper cites Exact indexing of dynamic time warping,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Exact indexing of dynamic time warping,

Reference 71

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source=pdf_text observed=2026-08-04T09:33:25.774069Z digest=sha256:4c1462ea7c576620a24e7962d1a9f886a157ab81b29c3ef9d99553025d924cd2

Observation b2300aed-c0ae-47e2-834e-2a0e1f8e5cd2 · outbound

This paper cites Robust and fast similarity search for moving object trajectories,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Robust and fast similarity search for moving object trajectories,

Reference 72

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source=pdf_text observed=2026-08-04T09:33:25.903580Z digest=sha256:34ef0eae13985f9b32d064e134fbb977e5c1cbee2e28b3749808fa6fd43050fc

Observation 3c88730a-6e92-406e-93a2-d257d40fff99 · outbound

This paper cites Visualizing data using t-sne,.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Visualizing data using t-sne,

Reference 73

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source=pdf_text observed=2026-08-04T09:33:26.031688Z digest=sha256:bd97a5b02419bc84721c99cf3dfebfb69a5dee12f3859bc29be4c1cb7f0cf402

Observation 8bb16a7b-231d-4829-9d86-67971c0a24ea · outbound

This paper cites an unresolved cited work.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-04T09:33:26.223499Z digest=sha256:5c84e1ddc7ea34e4611d00832400e2d15a9ef842c3c11d3a241b418f9663dc59

Observation 87b4857a-b21f-47d0-9217-35ba66666c62 · outbound

This paper cites •Public Security: The ‘‘Dashilan Police Patrol Station’’ reflects strict public safety management, enhancing residents’ and visitors’ sense of security.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning •Public Security: The ‘‘Dashilan Police Patrol Station’’ reflects strict public safety management, enhancing residents’ and visitors’ sense of security

Reference 75

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source=pdf_text observed=2026-08-04T09:33:26.359737Z digest=sha256:819af9a8a9bee72e163a8884a94efedbac93a2108c0f75819c43584f7bc6d679

Observation 93356838-ca71-42e7-a0da-18c536060fe4 · outbound

This paper cites an unresolved cited work.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-04T09:33:26.556059Z digest=sha256:729157318720f0a0bed222344f2e5b7206db7c9f3ad1321e52f551aa38a3ac83

Observation ba7ae6cd-13dc-4cfc-ba93-3cfe4d8cfe06 · outbound

This paper cites vibrant commerce and diverse consumption scenes.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning vibrant commerce and diverse consumption scenes

Reference 77

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source=pdf_text observed=2026-08-04T09:33:26.695672Z digest=sha256:d6e016d1475a465e54db1e4b89c24a600256e28d140b148fd9afb2056ae7919f

Observation d2dfefd3-0180-4dff-b137-9c4855bb7af5 · outbound

This paper cites •Supporting Daily Services: [convenience stores] (52) and [supermarkets] (28) enable one-stop shopping for everyday needs.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning •Supporting Daily Services: [convenience stores] (52) and [supermarkets] (28) enable one-stop shopping for everyday needs

Reference 78

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no resolver link, observed 2026-08-04T09:33:26.937249Z

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Unavailable: canonical work link unavailable.

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Observation 528da356-7363-4c39-9c5d-c7894238a6d3 · outbound

This paper cites an unresolved cited work.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Unresolved cited work

Reference 79

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no resolver link, observed 2026-08-04T09:33:27.061886Z

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Unavailable: canonical work link unavailable.

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Observation 30bf6723-c731-4079-96c0-5048281bf282 · outbound

This paper cites an unresolved cited work.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Unresolved cited work

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-04T09:33:27.229608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:33:27.229608Z digest=sha256:b06554cb7fca3117710042c5d1fc4df89559863d2045fd98b4632dcef27ddbe1

Observation 1e7abd58-cfda-4236-a76b-36c195f1d925 · outbound

This paper cites ‘‘Guomao’’ further hints at a metro hub or major retail cluster.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning ‘‘Guomao’’ further hints at a metro hub or major retail cluster

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-04T09:33:27.439350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af11534d-9224-49a4-b8bb-beaf7c5f5030 · outbound

This paper cites •Traffic Pressure: Intensive commercial activity can strain surrounding roads, requiring effective traffic planning and management.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning •Traffic Pressure: Intensive commercial activity can strain surrounding roads, requiring effective traffic planning and management

Reference 82

Resolution
malformed identifier
no resolver link, observed 2026-08-04T09:33:27.586543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e34f8f6a-109f-414f-9f51-515584cf9a19 · outbound

This paper cites Within the examined ranges, performance remains stable, suggesting that CORE does not critically depend on a specific choice of spatial scale.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Within the examined ranges, performance remains stable, suggesting that CORE does not critically depend on a specific choice of spatial scale

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-04T09:33:27.733137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d3e45cc9-0380-4d0f-918f-058b50050d6a · outbound

This paper cites an unresolved cited work.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Unresolved cited work

Reference 84

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no resolver link, observed 2026-08-04T09:33:27.896579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:33:27.896579Z digest=sha256:3e3269a0ef336685b2901c41bb1b2e598bf43ec8f57f3327040a08b57a4b043a

Pith citing papers

No inbound Pith citation observations are available.