Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:03:16.209528Z
Paper Citation Record · LEDGER
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models
As of 8 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2507.04027.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:24:40.657236Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:24:46.971086Z
Reference resolution
54 of 54 outbound references displayed
- verified exact1
- verified fuzzy40
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation aa0918ed-3e25-4cd4-b83e-ba3198cfc255 · outbound
This paper cites Rosvall, A.
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9ea82d32-5c52-459e-862b-388ac93ca869 · outbound
This paper cites Pflieger and C.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Pflieger and C
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.672533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5ab7a421-e012-409a-a0d0-a42f9d57ed34 · outbound
This paper cites Jiang and C.
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.657133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 11cde00f-6ae6-427c-b53f-8d20ed42fd3e · outbound
This paper cites an unresolved cited work.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Unresolved cited work
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a160aa57-92d0-4c45-9f51-6a310504f170 · outbound
This paper cites Urban road network expansion and its driving variables: A case study of nanjing city.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Urban road network expansion and its driving variables: A case study of nanjing city
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.626032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 29ab50fa-bc4c-4939-8f5b-d105f03689d5 · outbound
This paper cites an unresolved cited work.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Unresolved cited work
Reference 6
- Resolution
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- raw_fallback, observed 2026-08-06T20:03:18.609451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5abac61f-8d81-4d32-8ca2-ad7b0c17667d · outbound
This paper cites Lee and J.
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.592680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 251a3428-70d7-4eab-8e4b-a46cde7f2ba9 · outbound
This paper cites an unresolved cited work.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:03:18.576597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1802462b-6770-4647-985d-142a6615466f · outbound
This paper cites node2vec: Scalable feature learning for networks.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models node2vec: Scalable feature learning for networks
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.560698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 58ae9cfc-fb10-4721-adb1-23bcf54107d2 · outbound
This paper cites Line: Large-scale information network embedding.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Line: Large-scale information network embedding
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.544883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 686e489a-8a40-4a92-971d-c3e69e0b60e2 · outbound
This paper cites Semi-Supervised Classification with Graph Convolutional Networks.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Semi-Supervised Classification with Graph Convolutional Networks
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc98524e-d566-49cd-be94-3422070c6bc1 · outbound
This paper cites Sobolevsky and A.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Sobolevsky and A
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.528483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 000867b6-bb31-4fd7-8d03-fda764cd2daf · outbound
This paper cites Velickovic, G.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Velickovic, G
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.513129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0b784a32-e314-4bb0-ac2a-fc7a0104abee · outbound
This paper cites Kempinska and R.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Kempinska and R
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.497118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fd594afe-fde5-4095-981a-00c77dc501c4 · outbound
This paper cites Pagani, A.
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.480878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 672e4ae0-3b08-4624-825a-a50b19b8e5ae · outbound
This paper cites Huang, D.
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.461604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 59be4ee9-175b-45be-b6fc-c9b4ab2940a4 · outbound
This paper cites Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT).
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:03:16.482081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e3983c36-eaf9-425e-b439-737ac6737727 · outbound
This paper cites Mishina et al.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Mishina et al
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.444514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 39189e9a-f30f-4d09-8ba3-2d001fbf697b · outbound
This paper cites an unresolved cited work.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:03:18.428351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1597fbb0-436b-43bf-a2a7-7385d9bb1707 · outbound
This paper cites an unresolved cited work.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:03:18.412242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 62e09b3a-ba67-4667-bae3-67a1f6f426f0 · outbound
This paper cites Graph neural network approach to predict the effects of road capacity reduction policies: A case study for paris, france, 2024.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Graph neural network approach to predict the effects of road capacity reduction policies: A case study for paris, france, 2024
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.393793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 477fecec-74d2-48d9-bf21-00bcd41b5983 · outbound
This paper cites A multi-modal graph neural network approach to traffic risk forecasting in smart urban sensing.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models A multi-modal graph neural network approach to traffic risk forecasting in smart urban sensing
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.373818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a26d8f3b-495a-4535-914e-e64d8fd0a4ce · outbound
This paper cites Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use in- ference, 2024.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use in- ference, 2024
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.355642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a5d16ebb-6af7-40fa-afcb-674b1c715485 · outbound
This paper cites Khulbe, A.
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.337927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 367005ec-6d01-4605-ac90-36a4f736a047 · outbound
This paper cites Longitudinal employer-household dynamics.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Longitudinal employer-household dynamics
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.321044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a8f78e51-086e-49fb-8e0f-290fdf45826c · outbound
This paper cites American community survey data.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models American community survey data
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.305154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2ae7df9b-b626-489f-ae71-57fd3387736e · outbound
This paper cites Nyc 311 data.
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.286826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d224dc2e-47fb-452f-9f7c-bc05ceb1ab35 · outbound
This paper cites Direction aware positional and structural encoding for directed graph neural networks.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Direction aware positional and structural encoding for directed graph neural networks
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.269556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3bc3d7de-fb36-411f-9404-c347d1e73473 · outbound
This paper cites A Generalization of Transformer Networks to Graphs.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models A Generalization of Transformer Networks to Graphs
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c4f99f6-050c-4b74-8121-30ff3597cec3 · outbound
This paper cites Recipe for a general, powerful, scalable graph transformer.Advances in Neural Information Processing Systems, 35:14501–14515, 2022.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Recipe for a general, powerful, scalable graph transformer.Advances in Neural Information Processing Systems, 35:14501–14515, 2022
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.250973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8a599643-b295-45c2-8b76-541d42c33396 · outbound
This paper cites Rethinking graph transformers with spectral attention.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Rethinking graph transformers with spectral attention
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.234107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d516ad65-d586-4a29-8203-32af2ba5e65a · outbound
This paper cites Do transformers really perform badly for graph representation? In Advances in Neural Information Processing Systems, 2021.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Do transformers really perform badly for graph representation? In Advances in Neural Information Processing Systems, 2021
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.217751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f0fc1cf5-ae68-4639-abfc-5caf7d3d10f7 · outbound
This paper cites Distance encoding: Design provably more powerful neural networks for graph representation learning.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Distance encoding: Design provably more powerful neural networks for graph representation learning
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.202510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 77f6e65a-351c-473f-bbf2-1dce815efcb2 · outbound
This paper cites Graph neu- ral networks with learnable structural and positional representations.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Graph neu- ral networks with learnable structural and positional representations
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.186330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 30462b16-fe07-47c4-b78a-dd24fde8063c · outbound
This paper cites Rewiring with Positional Encodings for Graph Neural Networks.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Rewiring with Positional Encodings for Graph Neural Networks
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9afc02b0-10fc-416c-94c0-1e030ab50fae · outbound
This paper cites Sume: Semantic-enhanced urban mobility network embedding for user demographic inference.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Sume: Semantic-enhanced urban mobility network embedding for user demographic inference
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.171016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 28c3dfef-58b9-4b91-8dbb-0929d68789f8 · outbound
This paper cites an unresolved cited work.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:03:18.154680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bb9f6088-0b8e-42ab-96c9-ad5ac639cd2e · outbound
This paper cites Jain and Richard C.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Jain and Richard C
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.139184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 085f9f0a-361c-451c-aa0a-043075f0ecff · outbound
This paper cites an unresolved cited work.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:03:18.124394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f4d2d34a-76ad-440a-9d1e-ec293b444c98 · outbound
This paper cites Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.108961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 46d445f3-da2c-41f1-9fe1-0508e3c5a0dc · outbound
This paper cites Impact of income on urban commute across major cities in us.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Impact of income on urban commute across major cities in us
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.092878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0f728a98-1997-4917-9612-a148f5ffdca4 · outbound
This paper cites How Powerful are Graph Neural Networks?.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models How Powerful are Graph Neural Networks?
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:03:15.319721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ef6c569-740c-4b20-b7b5-64a40731854b · outbound
This paper cites Hicks and P.
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.077160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e17a8b47-51af-47e8-9aa6-a887a0ba546e · outbound
This paper cites an unresolved cited work.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:03:18.061229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 56b003cd-bb99-409b-9402-0c8add126553 · outbound
This paper cites Leslie and Breandán Ó hUallacháin.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Leslie and Breandán Ó hUallacháin
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.044936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 145e1582-1e00-4415-ab68-564a71ff2246 · outbound
This paper cites Structural deep network embedding.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Structural deep network embedding
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:18.028956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e9b8932e-c237-4170-8de8-efe0a029d8e9 · outbound
This paper cites Aggarwal, and Thomas S.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Aggarwal, and Thomas S
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:17.979622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b86d683b-9f98-4571-8702-0bc45743cec5 · outbound
This paper cites an unresolved cited work.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:03:17.751768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ff6bfc79-cf90-4b7e-88f8-1864c1520cb1 · outbound
This paper cites Yap and F.
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:17.467357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e6d2ad28-0cae-4171-ba65-3e26e821fb59 · outbound
This paper cites https://data.boston.gov/dataset/311-service-requests/resource/ f53ebccd-bc61-49f9-83db-625f209c95f5 , 2023.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models https://data.boston.gov/dataset/311-service-requests/resource/ f53ebccd-bc61-49f9-83db-625f209c95f5 , 2023
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:17.250048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bc0582eb-8697-423d-af8f-6abb45dec698 · outbound
This paper cites https://data.cityofchicago.org/Service-Requests/311-Service-Requests/ v6vf-nfxy, 2023.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models https://data.cityofchicago.org/Service-Requests/311-Service-Requests/ v6vf-nfxy, 2023
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:17.116619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3a630537-82ed-4c71-a68a-a9cacafb4f95 · outbound
This paper cites The pagerank citation ranking: bringing order to the web.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models The pagerank citation ranking: bringing order to the web
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:16.969368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 31c9bc7f-fff6-4c29-ba7f-563393c2f6bb · outbound
This paper cites Measuring the vibrancy of urban neighborhoods using mobile phone data with an improved pagerank algorithm.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Measuring the vibrancy of urban neighborhoods using mobile phone data with an improved pagerank algorithm
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:16.801564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 09328b98-2330-4fc5-a951-b412e745f10d · outbound
This paper cites Ranking spaces for predicting human movement in an urban environment.
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models Ranking spaces for predicting human movement in an urban environment
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:03:16.655699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
Observation 22418715-20e8-46bc-b7c4-380779149e63 · inbound
Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities cites this paper.
Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:24:47.172121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.