{"as_of":"2026-08-08T04:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4cef0e4aebbc19d1a3856710c60658fd8ff54de7125613353dcd233361fc4ffc","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:24:44.439912Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.11057/citation-record","integrity":"/paper/2507.11057/integrity","json":"/paper/2507.11057/citation-record.json","paper":"/paper/2507.11057"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:40.025533Z","title":"Defining a city—delineating urban areas using cell-phone data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.025533Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:21c5803822b26c97f9fa4b3dc32f975b234011a72c3a91203781739a026509cd","observation_id":"52b6c663-2b38-455d-ac59-465313e6680a","resolution":{"observed_at":"2026-08-06T17:24:40.025533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:49.083972Z","title":"Delineation of the Shanghai megacity region of China from a commuting perspective: Study based on cell phone network data in the Yangtze River Delta","venue":null,"work_id":"18062972-5260-41f1-8ac0-50981402bb94","year":2021},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.120557Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:1b4fd3ed511e6e6b00abc13ac35b37e0df5d76856ec9dbdd47edfc9c43556f70","observation_id":"bd441247-a886-4215-b041-9621f83e834f","resolution":{"observed_at":"2026-08-06T17:24:49.099487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:49.054143Z","title":"Detecting the regional delineation from a network of social media user interactions with spatial constraint: A case study of Shenzhen, China","venue":null,"work_id":"9a0d721d-b748-405d-8740-dde6e87a118f","year":2019},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.195344Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:71ab46f4b74fabdce4d06e96e3c8a3ad6ba40f62e92b1b8abefb209365290e8d","observation_id":"8c7973a8-e630-41d0-a4ba-8e248144a1d7","resolution":{"observed_at":"2026-08-06T17:24:49.063687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:49.030243Z","title":"Redrawing the map of Great Britain from a network of human interactions","venue":null,"work_id":"681be9ca-dc6c-4d89-b947-55f080428153","year":2010},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.266386Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:d93bc297293d169b5207cb9a96b198b7e67e8f05a4dc7eec048e4e09d5f14782","observation_id":"a37f0e5d-a863-4493-8799-fb52e93d7232","resolution":{"observed_at":"2026-08-06T17:24:49.037816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:40.362584Z","title":"Community detection in graphs","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.362584Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:919111de7af27752c00989539ce57712eb73012484590ddb4ef14101ed0f2bda","observation_id":"e9802479-be25-4f11-aeac-c7fab507eed3","resolution":{"observed_at":"2026-08-06T17:24:40.362584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:49.007795Z","title":"The analysis and delimitation of Central Business District using network kernel density estimation","venue":null,"work_id":"b4205dba-2a00-4d58-aa70-98ea2447333e","year":2015},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.466102Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:45ff809622327fa341b35bbac5c11e5a05c4e604ab879e85cc9d9de22479e2ec","observation_id":"794b2deb-d8ac-48ab-8ab4-f7f0a5182e6a","resolution":{"observed_at":"2026-08-06T17:24:49.015161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.977754Z","title":"Mobility Networks as a Predictor of Socioeconomic Status in Urban Systems","venue":null,"work_id":"4eed6cd4-e6a8-4c6e-a7ae-d1002c161732","year":2023},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.563193Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:f05673700767ab64841c81e95f312af69aa2fb7d311051b8478414693786a7a0","observation_id":"0e0dc7dd-303d-43e6-8271-225d9b93ae65","resolution":{"observed_at":"2026-08-06T17:24:48.987671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.04027","last_updated":"2025-07-05T12:38:59Z","snapshot_observed_at":"2026-08-06T19:54:51.219987Z","submitted_at":"2025-07-05T12:38:59Z","title":"Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models","version":1},"cited_work":{"arxiv_id":"2507.04027","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.04027","snapshot_observed_at":"2026-08-06T17:24:46.971086Z","title":"Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models","venue":"cs.LG","work_id":"f211c962-736a-43a4-a73d-69997fbb784c","year":2025},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.657236Z"},"links":{"cited_paper":"/paper/2507.04027","citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:0dc01da147763419ddbdd382b3cfeb17978ab15877db8472a8c63a24c27de0e1","observation_id":"22418715-20e8-46bc-b7c4-380779149e63","resolution":{"observed_at":"2026-08-06T17:24:47.172121Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.950079Z","title":"A Community Detection and Graph-Neural-Network-Based Link Prediction Approach for Scientific Literature","venue":null,"work_id":"b5ffd529-821c-43f5-96aa-0056920ca1b1","year":2024},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.755163Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:b0e9f26b6140342e78ef4ffd79634a02c99d32defbccbc1cc9fd7db02371a8ef","observation_id":"d4c80bde-b870-43be-a387-a1260c1bcf53","resolution":{"observed_at":"2026-08-06T17:24:48.956296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.912922Z","title":"Graph neural network inspired algorithm for unsupervised network community detection","venue":null,"work_id":"1aa9cee2-01b4-409e-8bde-c83aa296bedb","year":2022},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.842912Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:dfc068d2b208e952143d0bb1a8c1b1b3c322625e7f9cc5d17437a605480ff7b8","observation_id":"eadfcda8-3ada-49c0-b07e-ceb90c0c266a","resolution":{"observed_at":"2026-08-06T17:24:48.925006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.883740Z","title":"Prediction of Urban Population-Facilities Interactions with Graph Neural Network","venue":null,"work_id":"e9ab97b8-18de-43ce-b4cf-59a97eaf52e6","year":null},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.921352Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:f7227fc5f4648d9cf0b332f8d7ca1aebec10f4682090ac41a6066a112c855f86","observation_id":"0da4899e-ca2d-49d7-92f5-1c17f81b00c9","resolution":{"observed_at":"2026-08-06T17:24:48.892678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physreve.103.022316","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:45.769171Z","title":"Community detection in networks using graph embeddings","venue":null,"work_id":"41e7cbeb-a8b9-47db-a57b-277303bf8928","year":2021},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:41.090803Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:a65e67841d43cf25a9a6f5e3fac5ce1d727eef9b876c5b6301c6a647b3615605","observation_id":"951aef91-864f-4929-acb3-72abdaaa24c7","resolution":{"observed_at":"2026-08-06T17:24:45.814672Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.13561","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:46.787287Z","title":"Urban delineation through a prism of intraday commute patterns","venue":null,"work_id":"7b853d77-778e-460c-a424-41adee415a4d","year":2024},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:41.185237Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:a7fd370f69445ed0e28240fcd06869317c09865053c6c82f3c3af655beff25b0","observation_id":"ed5c0888-b34a-4a5e-a52b-5ac1fd5e55e5","resolution":{"observed_at":"2026-08-06T17:24:46.838731Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.compenvurbsys.2018.04.001","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:45.617021Z","title":"Human mobility and socioeconomic status: Analysis of Singapore and Boston","venue":null,"work_id":"ae03141c-fb2d-42a0-9d29-b4f69bab140a","year":2018},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:41.268118Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:d6a05c1d33792d6bb496dba692ac6f5b20511f7ee7070b381ac7571bbfbf3888","observation_id":"f0833a5b-6134-4f8f-b191-be8fff113700","resolution":{"observed_at":"2026-08-06T17:24:45.674089Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/cico.12331","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:45.475562Z","title":"Relying on the Census in Urban Social Science","venue":null,"work_id":"3555295d-25b5-4039-a302-06fcb6b8f1b5","year":2018},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:41.323626Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:0b18352bf7681b163c87f43e2338e6058e4678ccaa4e8f2b7ead197e6b2e5aef","observation_id":"ca287c86-f7e6-4396-80a6-c4554ecbfe9d","resolution":{"observed_at":"2026-08-06T17:24:45.527823Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.landurbplan.2006.02.014","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:45.334993Z","title":"Land development, land use, and urban sprawl in Puerto Rico integrating remote sensing and population census data","venue":null,"work_id":"b15886f0-4832-4f4c-8dc5-90fd10988447","year":2007},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:41.384704Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:15606b8a9536fddf157cf7e5d25804be8eea68e08849800a41a74aa8780e7a18","observation_id":"e638ed1b-2e88-4f23-bbdc-8b26ed242f6f","resolution":{"observed_at":"2026-08-06T17:24:45.406007Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3002.2018","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:46.545806Z","title":"Validating the use of census data on education as a measure of socioeconomic status in an occupational cohort","venue":null,"work_id":"cf0f377f-2092-47e2-a674-3b587be3b1b3","year":2022},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:41.499260Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:6ff78aef552047b74810b44115f9f44a7dac64aa2b9f2f136ff3175f8d820756","observation_id":"81475a92-cd2d-4564-83f7-d3e797d96b36","resolution":{"observed_at":"2026-08-06T17:24:46.603618Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/oxfordjournals.aje.a009673","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:45.172959Z","title":"Use of Census-based Aggregate Variables to Proxy for Socioeconomic Group: Evidence from National Samples","venue":null,"work_id":"107536bb-a174-420d-9bb8-7170c745c436","year":1998},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:41.660728Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:f58279ccf8571f7b48ed1e1d9d5eec68a8f6b48495250c12a6c21b076704a4ab","observation_id":"237283ed-b017-4f67-97bb-7cd838d03668","resolution":{"observed_at":"2026-08-06T17:24:45.251434Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.796295Z","title":"Longitudinal Employer-Household Dynamics (LEHD) Data, Snapshot Release S2023; 2023","venue":null,"work_id":"a4ae0137-8c9b-4813-a6a7-996146ed3e29","year":2023},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:41.733886Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:f477bc353412eb9a88686f7fdf56b623e3fe6f3a2ea9a1f80bd4e359ae4c932d","observation_id":"79708a2e-ad33-467e-85f3-6ffe8f3892db","resolution":{"observed_at":"2026-08-06T17:24:48.805726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pone.0081707","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:45.043406Z","title":"Delineating geographical regions with networks of human interactions in an extensive set of countries","venue":null,"work_id":"49a09e15-e8fd-44a9-bd22-a37da82ec12b","year":2013},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:41.831767Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:9d9ac1176836bb7d8b07d55352d79fc39df6e593108f1d32810de2757eac2414","observation_id":"7201ae7c-0e8a-42ba-afd6-fc082c1e8144","resolution":{"observed_at":"2026-08-06T17:24:45.098056Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:41.944128Z","title":"Uncovering space-independent communities in spatial networks","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:41.944128Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:a17aa1ceb4d9e4d87d7c3057154aba53758942a452cf56ffc3ed7a2093c2b452","observation_id":"22505ff8-9344-47a6-bd1c-e24c2d2d2f17","resolution":{"observed_at":"2026-08-06T17:24:41.944128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.10373","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:46.286456Z","title":"Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model","venue":null,"work_id":"d5f2d712-fa88-402b-a550-5f8f57d7e6bf","year":2023},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:42.027786Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:eba9093d78914ed787b44b1e2daa87d9cf0815d5c679f8ba6a36e9bc2d3d5430","observation_id":"551f16df-039f-4913-a0d0-c238a106abfc","resolution":{"observed_at":"2026-08-06T17:24:46.359567Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.procs.2021.10.033","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:44.895904Z","title":"Impact of income on urban commute across major cities in US","venue":null,"work_id":"ff9fcb89-1808-4628-acee-4d9f99bc4e94","year":2021},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:42.124863Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:00090d66e9400bcad4a4136fa5e1aae35e4615fbf906a716f7c8d9e80abe659f","observation_id":"33f3a52e-ad12-41d1-a235-9d6b7ca854a7","resolution":{"observed_at":"2026-08-06T17:24:44.959308Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.757240Z","title":"Recipe for a General, Powerful, Scalable graph transformer","venue":null,"work_id":"c0700b74-3e98-42d7-8db2-9563da17ab28","year":2022},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:42.227150Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:ec9630a11d8bf95ce62de4aa1fb0523712e127296dd7b27060698c96cee05874","observation_id":"85eae1f8-7a8f-4d06-a933-4609b5ea2255","resolution":{"observed_at":"2026-08-06T17:24:48.764818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.724664Z","title":"A Generalization of Transformer Networks to Graphs","venue":null,"work_id":"fa764a74-bc64-4ce0-9763-b40b522e9e48","year":2020},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:42.311928Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:c096433295b02643de7df2af59f6f45b41add3c12eed2182f4ecd71509818dab","observation_id":"e673484d-3ccf-48bf-9ee1-639301664848","resolution":{"observed_at":"2026-08-06T17:24:48.734983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.694473Z","title":"Do transformers really perform badly for graph representation? In: Advances in Neural Information Processing Systems; 2021","venue":null,"work_id":"ddc7a2e0-6413-4385-9ee2-edb6c9b4198c","year":2021},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:42.413724Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:cb1af239eb763f2632ab84864c7dbd6663fff92729f6a7339d314c5b14bff706","observation_id":"b8bf68f0-b2e4-460f-8d38-88ba2d768842","resolution":{"observed_at":"2026-08-06T17:24:48.704516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.648128Z","title":"The singular value decomposition: Its computation and some applications","venue":null,"work_id":"a873ded6-b4ed-4846-9f9a-81abea4e3cf1","year":1980},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:42.543143Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:505c172b89003b0039016de8ace0c42335aa5081022c59a6f644e66bdc759092","observation_id":"754af144-3429-4b4f-9243-1f3f837447a4","resolution":{"observed_at":"2026-08-06T17:24:48.656601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.607537Z","title":"Implicit SVD for Graph Representation Learning","venue":null,"work_id":"41eb37ca-5a7d-4104-b11d-bce834577488","year":2021},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:42.653901Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:49f6c93a85c5e44844fa63253fdd38c5a316f25b613fbf0231755ebf2defd32a","observation_id":"60ac1378-6323-4f32-8135-0585bd2b142d","resolution":{"observed_at":"2026-08-06T17:24:48.616293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.568001Z","title":"Community detection in graphs using singular value decomposition","venue":null,"work_id":"b9c8d513-aba7-431e-aa8b-2522e01c9ec4","year":2011},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:42.747786Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:be042dd89189b6aba6a443893eab75d84766bd665bfee96d33cf1a542791a1f7","observation_id":"bb04704a-a886-4bca-bc47-98e7b01b90e8","resolution":{"observed_at":"2026-08-06T17:24:48.577173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.539800Z","title":"Learning 3d representations of molecular chirality with invariance to bond rotations","venue":null,"work_id":"0948cf65-6d84-4f8c-beef-57df9aa15f31","year":2021},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:42.863626Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:c276d3f1b6525560a6084a10fb8ce608c24a3c8ff8000e384b323bdaf971de19","observation_id":"1cdfe152-bd8d-45c7-986c-c9bd4484c1fd","resolution":{"observed_at":"2026-08-06T17:24:48.547020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.505846Z","title":"Rewiring with positional encodings for graph neural networks","venue":null,"work_id":"88362325-3d3e-4525-a1d6-d7d24f0ab3d1","year":2022},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:42.947732Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:6005711226cedea325a5e65299371e3719001bde916c492db007e24ee8d61206","observation_id":"7612dae0-06e8-4706-90e6-2e6990a9dc45","resolution":{"observed_at":"2026-08-06T17:24:48.515988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.480570Z","title":"Distance encoding: Design provably more powerful neural networks for graph representation learning","venue":null,"work_id":"961505af-d2df-4d1a-b245-9dad6767a795","year":2020},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.022717Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:7e8c71c163f5a15a03e6472af90312cc43193a90bb7f15996101205866413985","observation_id":"cd286705-9d09-4749-8382-6b83d273f6b2","resolution":{"observed_at":"2026-08-06T17:24:48.489253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.448321Z","title":"Graph neural networks with learnable structural and positional representations","venue":null,"work_id":"d5420d47-890e-4c36-9f55-14f27b0e8eb5","year":2022},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.125661Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:22697e62bf2cae6ad007089ef0601a05065715d48b0c803101473c6f3e39f7ac","observation_id":"b745cf42-0cc4-4314-abca-3409455701b7","resolution":{"observed_at":"2026-08-06T17:24:48.456207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3411807","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:44.717087Z","title":"SUME: Semantic-enhanced Urban Mobility Network Embedding for User Demographic Inference","venue":null,"work_id":"87b12266-0530-4d89-ae99-d0e1a0d6e87d","year":2020},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.214095Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:76d537d69475a0a34f20b4939e200577b5d890a4561b69c7d10ba01fc18985d2","observation_id":"a2a4a70d-506e-4369-a2dc-1a997ad9a4fe","resolution":{"observed_at":"2026-08-06T17:24:44.790220Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.422906Z","title":"NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data","venue":null,"work_id":"261a0c49-1312-4829-aa0f-e86c7619ae27","year":2021},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.266831Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:692144f5ee6a5e21696d5cfe2a1a3a2f8d16818b82998a7bab37655ab65ccbbb","observation_id":"1cee8aa2-7e86-4faa-aa3e-afab1a5a44ec","resolution":{"observed_at":"2026-08-06T17:24:48.433017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.376717Z","title":"Semi-supervised classification with graph convolutional networks","venue":null,"work_id":"47d61368-bb9c-4b23-8005-ece02f98a70b","year":2016},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.319142Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:e7d7e75a57279dc2e0d843966eee9ab0f54582305a13685141f3bcccb238bc81","observation_id":"b3ed8f36-1e02-4678-9851-10c16392a88c","resolution":{"observed_at":"2026-08-06T17:24:48.387790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.339696Z","title":"How powerful are graph neural networks? arXiv preprint arXiv:181000826","venue":null,"work_id":"d700a581-361f-4bab-875b-d76bdcbb27ca","year":2018},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.434344Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:b4ce05b2477968faa2fe6a51fada3847b9e49f1e3e6d896d1b47d3b27424d35d","observation_id":"2a4878e3-7254-41b7-82e2-a6b036d42dc8","resolution":{"observed_at":"2026-08-06T17:24:48.355605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.305893Z","title":"Deeper insights into graph convolutional networks for semi-supervised learning","venue":null,"work_id":"8e6ea6c8-286a-4391-a402-f0bcf9a756b0","year":2018},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.541011Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:4c9a9c8313c0a357ce2ef677ac7f6d7fca111d1c2223d39e0686c97d75cb689b","observation_id":"bf02fe95-32e3-4aa0-a9d8-f4b2cb5283a9","resolution":{"observed_at":"2026-08-06T17:24:48.313787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.273972Z","title":"Inductive representation learning on large graphs","venue":null,"work_id":"30d4dd89-f46d-4569-902e-a3e2af61b091","year":2017},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.639410Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:8725af10d975fc7df45e8db2ba0d8de2dafd3e62d24b25bde683f7a705ebbfc6","observation_id":"de193dfc-ab10-42d2-b047-72a709024ec5","resolution":{"observed_at":"2026-08-06T17:24:48.281705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.238654Z","title":"General optimization technique for high-quality community detection in complex networks","venue":null,"work_id":"29c776fa-6f09-4843-a631-dab39bda0843","year":2014},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.724132Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:69d40c417b21bf9da4ac1afaff13450ea111172bb7cee1eeeda9d74303db5419","observation_id":"d87debea-5122-47b1-8681-0299e396a555","resolution":{"observed_at":"2026-08-06T17:24:48.248831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2014.23074","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:46.044903Z","title":"Community Detection via Maximization of Modularity and Its Variants","venue":null,"work_id":"d10b6de1-0fcf-4546-bf6a-524137b86442","year":2014},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.842745Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:25ae7e67e5504f02adc4920d804904332b1aa64f5b9b5489c871965ad64142d3","observation_id":"dc7c86fe-3726-4676-a14f-f3664380e6e3","resolution":{"observed_at":"2026-08-06T17:24:46.107156Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:43.995992Z","title":"A review of stochastic block models and extensions for graph clustering","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:43.995992Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:5fbe50afcc71caa14f0d99b57b6ace7305574fd74f81faef22a434d7fc4b8ab0","observation_id":"8b1cc9df-fbcb-405a-8ea3-b52d55e48057","resolution":{"observed_at":"2026-08-06T17:24:43.995992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:44.107042Z","title":"Efficient Monte Carlo and greedy heuristic for the inference of stochastic block models","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:44.107042Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:78ff3bae584f1e2595131e0dcc8992813ec665713b8982da0ee6298440c1d4b5","observation_id":"200d1183-6890-409c-acb6-f50131da1bf6","resolution":{"observed_at":"2026-08-06T17:24:44.107042Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1177/0361198120966603","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:44.552271Z","title":"On the Impact of Income, Age, and Travel Distance on the Value of Time","venue":null,"work_id":"6f51fd91-b02d-43db-9060-01ff2dc1bd3d","year":2020},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:44.226952Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:abb84c62c77dd1da4a18657fdbffe404660b4acfb7ae6e1e5bb62a8e30e2688f","observation_id":"0783a557-dcc9-4daa-b75e-84d589e0ca1a","resolution":{"observed_at":"2026-08-06T17:24:44.595420Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.035340Z","title":"Information theoretic network approach to socioeconomic correlations","venue":null,"work_id":"f71106d8-1c3b-4e0c-a867-1857b3c96e3b","year":2020},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:44.317409Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:a05096d243ac7706b12eb7bed0df8fabebbe25dbaf1eb49c7d3fbf211999b01a","observation_id":"4164cf5a-dacd-4955-9c50-de3ba4091e1f","resolution":{"observed_at":"2026-08-06T17:24:48.173612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:47.684600Z","title":"The use of Csiszár’s divergence to assess dissimilarities of income distributions of EU countries","venue":null,"work_id":"d7574de8-cf73-4c9c-987c-ae5d165bc521","year":2014},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:44.383127Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:6b598524ea3fd7bf6cdfc3e382dd78b2d70c3569bd1ca85d70df1ac9f03d4b88","observation_id":"8d625d7c-b4fa-4337-8dc1-a4f5c1725172","resolution":{"observed_at":"2026-08-06T17:24:47.876483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:47.317514Z","title":"Income distributions and decomposable divergence measures","venue":null,"work_id":"dd5d9e59-b59d-4945-a0f4-fb98b58f7610","year":2011},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:44.439912Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:051c24929a0ecd131db3e982473cb0dc8ab7ec4fe75b1b404240203d879e50d9","observation_id":"10207e32-a46d-4d7a-bc26-d11ab8063eda","resolution":{"observed_at":"2026-08-06T17:24:47.509642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:24:48.822884Z","title":"13956 of Lecture Notes in Computer Science","venue":null,"work_id":"128becb0-3374-49ed-b8d2-05bbe05380d4","year":2023},"citing_paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:40.997120Z"},"links":{"citing_paper":"/paper/2507.11057"},"observation_digest":"sha256:d5ea3cab490509ac08085d3790a180373916abbe999f6c6a48b1af4a0965d2f6","observation_id":"988e782b-8f94-4296-8993-168162671aff","resolution":{"observed_at":"2026-08-06T17:24:48.861873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.11057","last_updated":"2025-07-15T07:47:03Z","latest_version":1,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-06T17:15:49.664279Z","submitted_at":"2025-07-15T07:47:03Z","title":"Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":5,"verified_exact":11,"verified_fuzzy":29},"total_outbound_references":48},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2507.11057."}