Paper Citation Record · LEDGER

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2502.02912.

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

pith.paper-citation-record.v1
2502.02912 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:44:28.181088Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy31
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3172c465-6ea0-43b2-b2d7-9c6e8c966fc9 · outbound

This paper cites Vulnerability.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Vulnerability

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.200617Z

Source-reported events for the cited work

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Observation e38556a7-2a4e-41f3-8a34-429d17b0536c · outbound

This paper cites Machinelearningandphonedatacanimprovetargetingofhumanitarian aid.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Machinelearningandphonedatacanimprovetargetingofhumanitarian aid

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.186906Z

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Observation 508833c0-8146-4f30-9405-f5b77f0f83e5 · outbound

This paper cites Mapping vulnerability: disasters, development, and people.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Mapping vulnerability: disasters, development, and people

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.173076Z

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Observation dcc0de6d-da6d-4bbe-a891-e8f581d54a40 · outbound

This paper cites Community vulnerability and mobility: What matters most in spatio-temporal modeling of the covid-19 pandemic? Social Science & Medicine 287, 114395.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Community vulnerability and mobility: What matters most in spatio-temporal modeling of the covid-19 pandemic? Social Science & Medicine 287, 114395

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.158710Z

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Observation 0e1416cf-01d3-478f-aca2-e2417a01246e · outbound

This paper cites Multiple local 3d cnns for region-based prediction in smart cities.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Multiple local 3d cnns for region-based prediction in smart cities

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.144761Z

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Observation 93ec6cc9-2af0-4996-9ca1-018a58651e7b · outbound

This paper cites Microestimates of wealth for all low-and middle-income countries.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Microestimates of wealth for all low-and middle-income countries

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.130595Z

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Observation 870b579e-212c-4852-b724-8eed70f61626 · outbound

This paper cites Social vulnerability to environmental hazards.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Social vulnerability to environmental hazards

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.116239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c310f14d-e2e2-40f0-915e-517f9dc9c03d · outbound

This paper cites Association betweensocialvulnerabilityandacounty’sriskforbecomingacovid-19hotspot—unitedstates,june1–july25,2020.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Association betweensocialvulnerabilityandacounty’sriskforbecomingacovid-19hotspot—unitedstates,june1–july25,2020

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.102455Z

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Observation e4e6cfd3-2da3-4993-99d5-f7a4c966ec01 · outbound

This paper cites Time-seriesrepresentationlearningviatemporalandcontextual contrasting, in: International Joint Conference on Artificial Intelligence.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Time-seriesrepresentationlearningviatemporalandcontextual contrasting, in: International Joint Conference on Artificial Intelligence

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.088516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34134355-ab30-4f95-aaa6-a28603071bd1 · outbound

This paper cites A social vulnerability index for disaster management.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations A social vulnerability index for disaster management

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.073671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5d0c386f-cdd5-4e22-8523-835fdb441067 · outbound

This paper cites Unsupervised scalable representation learning for multivariate time series.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Unsupervised scalable representation learning for multivariate time series

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.059423Z

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Observation 583c535e-9f76-46a2-9a8c-0072d5bded14 · outbound

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MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Unresolved cited work

Reference 12

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Observation 14aba3ac-aa28-4c29-8fd0-58f3a60ec85f · outbound

This paper cites Semantictrajectoryrepresentationandretrievalviahierarchicalembedding.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Semantictrajectoryrepresentationandretrievalviahierarchicalembedding

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:29.029218Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26448b0d-c56f-4d80-9b92-1d64fea1ebff · outbound

This paper cites an unresolved cited work.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Unresolved cited work

Reference 14

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Observation 983abadb-c68d-42d7-bbda-6d7bdc0a9ff4 · outbound

This paper cites Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT).

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)

Reference 15

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Source-reported events for the cited work

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Observation 869babce-c291-448a-a8f9-6f3c6ef8262c · outbound

This paper cites Urban region representation learning with openstreetmap building footprints, in: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Urban region representation learning with openstreetmap building footprints, in: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.999662Z

Source-reported events for the cited work

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Observation 0b022579-312e-45b4-a3ba-4c96ae6186d3 · outbound

This paper cites Urban region embedding via multi-view contrastive prediction, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Urban region embedding via multi-view contrastive prediction, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.984672Z

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Observation 91873562-589f-4c84-97eb-cb52ddc156d3 · outbound

This paper cites Revealingspatio-temporalevolutionofurbanvisualenvironmentswithstreetviewimagery.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Revealingspatio-temporalevolutionofurbanvisualenvironmentswithstreetviewimagery

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.970484Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7672928a-c75e-400f-9a03-a26f8fadced6 · outbound

This paper cites Exploringtrajectoryembeddingviaspatial-temporalpropagationfordynamicregion representations.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Exploringtrajectoryembeddingviaspatial-temporalpropagationfordynamicregion representations

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.957480Z

Source-reported events for the cited work

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Observation ffa8da89-afc0-43da-89ba-47a0da34a429 · outbound

This paper cites Urban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embedding.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Urban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embedding

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.924401Z

Source-reported events for the cited work

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Observation 1f5a069e-4241-4266-9ac4-8e3e75c6a0e8 · outbound

This paper cites Mhccl: Masked hierarchical cluster-wise contrastive learning for multivariate time series, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Mhccl: Masked hierarchical cluster-wise contrastive learning for multivariate time series, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.907157Z

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Observation 7fa8aef8-8086-4156-8024-43485f67940b · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations WaveNet: A Generative Model for Raw Audio

Reference 22

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Observation 08ec2ec3-ae5a-42f2-91a8-a1a6b2b599fb · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Representation Learning with Contrastive Predictive Coding

Reference 23

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Source-reported events for the cited work

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Observation c84f4c79-9c8c-4511-9e9c-45caf24958d2 · outbound

This paper cites Pytorch:An imperative style, high-performance deep learning library.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Pytorch:An imperative style, high-performance deep learning library

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.891265Z

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Observation d72259b0-8deb-40d9-a402-50ec2b835b72 · outbound

This paper cites Improveddeepmetriclearningwithmulti-classn-pairlossobjective.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Improveddeepmetriclearningwithmulti-classn-pairlossobjective

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.871380Z

Source-reported events for the cited work

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Observation ff7bdc7c-2829-4e4f-a0c9-483f6e8df35f · outbound

This paper cites Most common modes of transportation for commuting in the u.s.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Most common modes of transportation for commuting in the u.s

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.856675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 456438aa-abea-4021-b116-dc87f9b23de9 · outbound

This paper cites Unsupervised representation learning for time series with temporal neighborhood coding, in: International Conference on Learning Representations.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Unsupervised representation learning for time series with temporal neighborhood coding, in: International Conference on Learning Representations

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.843594Z

Source-reported events for the cited work

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Observation d95f8008-af46-4661-9528-57b6540983d5 · outbound

This paper cites Graph attention networks.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Graph attention networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.829478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d6cc410-4b27-4b99-abcb-da2c1a7a8733 · outbound

This paper cites Region representation learning via mobility flow, in: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Region representation learning via mobility flow, in: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.813983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0a582d46-3396-4a2f-b086-c14b78aaf0ce · outbound

This paper cites Mixingupcontrastivelearning:Self-supervisedrepresentationlearning for time series.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Mixingupcontrastivelearning:Self-supervisedrepresentationlearning for time series

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.797339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b515b178-d851-4285-90c5-51a6252b9348 · outbound

This paper cites Multi-Graph Fusion Networks for Urban Region Embedding.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Multi-Graph Fusion Networks for Urban Region Embedding

Reference 31

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Source-reported events for the cited work

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Observation 7334f2cc-e7c8-4815-9fd1-572b3de56021 · outbound

This paper cites Unsupervised feature learning via non-parametric instance discrimination, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Unsupervised feature learning via non-parametric instance discrimination, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.780734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a95a2fe-112b-45d6-a151-2006b2a7d66d · outbound

This paper cites Assessing dynamics of human vulnerability at community level–using mobility data.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Assessing dynamics of human vulnerability at community level–using mobility data

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.742249Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d9e9d35f-de48-4400-8095-38dff8b3d55b · outbound

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MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Unresolved cited work

Reference 34

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Observation bc7f0761-8879-44e7-bcd3-b993a59894cc · outbound

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MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Unresolved cited work

Reference 35

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Observation 53be2113-f000-4703-9541-9ad1ca2205b3 · outbound

This paper cites Ts2vec: Towards universal representation of time series, in: AAAI Conference on Artificial Intelligence.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Ts2vec: Towards universal representation of time series, in: AAAI Conference on Artificial Intelligence

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.547019Z

Source-reported events for the cited work

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Observation d948feb0-24fd-4a75-a509-aaebe8e583c9 · outbound

This paper cites Regionembeddingwithintraandinter-viewcontrastivelearning.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Regionembeddingwithintraandinter-viewcontrastivelearning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.531678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d72966da-4cf8-4b81-8181-a1b933bc4f42 · outbound

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MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:44:28.515854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d4ae2a1-4f05-4338-bc96-8c0a0ec76325 · outbound

This paper cites Unveiling transit mobility structure towards sustainable cities: An integrated graph embedding approach.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Unveiling transit mobility structure towards sustainable cities: An integrated graph embedding approach

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.455304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c8c6c99-5a50-4e55-b0c6-79ba1253d4b8 · outbound

This paper cites Learning region similarities via graph-based deep metric learning.

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations Learning region similarities via graph-based deep metric learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:44:28.360165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.