{"as_of":"2026-08-14T12:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:52b28142ab085f7ca0b0f9276c47ecf28fce60fc894e4d0147660629a95c5667","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:56:22.126718Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-08T17:08:45.203608Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T17:46:14.826624Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"cited_work":{"arxiv_id":"2506.12456","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.12456","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2506.12456 , year=","venue":null,"work_id":"7b77583c-7176-4c20-881d-ccb5c6ae435c","year":null},"citing_paper":{"arxiv_id":"2605.04752","last_updated":"2026-05-06T10:59:32Z","snapshot_observed_at":"2026-08-10T02:24:44.196827Z","submitted_at":"2026-05-06T10:59:32Z","title":"Hybrid Congestion Classification Framework Using Flow-Guided Attention and Empirical Mode Decomposition","version":1},"reference_index":111,"source":"arxiv_source","source_observed_at":"2026-05-08T17:08:45.203608Z"},"links":{"cited_paper":"/paper/2506.12456","citing_paper":"/paper/2605.04752"},"observation_digest":"sha256:84e892ba537db550b91095a29f0654fa82d365467c372cfe1c7100cccd8b1dd8","observation_id":"3edda5ee-450c-452f-84d2-5ae0d454553b","resolution":{"observed_at":"2026-05-11T17:46:14.835176Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.12456/citation-record","integrity":"/paper/2506.12456/integrity","json":"/paper/2506.12456/citation-record.json","paper":"/paper/2506.12456"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:56:22.627314Z","title":"Infrastructure investment: A review essay,","venue":null,"work_id":"aee49d2a-fdf1-4453-bd46-812d1576fb35","year":1994},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:19.175180Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:2f2850fcea4c5b4849e69aded54778be42dabb33a2da2e9b374e3e8ebe306996","observation_id":"2820dc81-32de-49d3-a1fc-8b4c231af8db","resolution":{"observed_at":"2026-08-07T00:56:22.630686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.616807Z","title":"How does trans- portation facilitate regional economic development? a heuristic mapping of the literature,","venue":null,"work_id":"d8c587a0-8616-44ff-8bd8-bb60133c18a3","year":2023},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:19.260664Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:0be7890d1699a907ad6fd9f15024f1d4d8084f7af023a745bffb5d69ba3edb4d","observation_id":"d0b13c4a-d7da-4142-b8ee-37a3982b5962","resolution":{"observed_at":"2026-08-07T00:56:22.620189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.606085Z","title":"Urban transportation networks resilience: Indicators, disturbances, and assessment methods,","venue":null,"work_id":"da683de1-0d8d-4412-ada6-d2e467094754","year":2022},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:19.317615Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:355d9f9cee5c391b56e5fb1483d624f03bf05afb62b49d4abb4d381d7a011d24","observation_id":"a8673d5f-98da-4584-981c-fe06e8890ac9","resolution":{"observed_at":"2026-08-07T00:56:22.609663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.595716Z","title":"An improved resnet50 model for predicting pavement condition index (pci) directly from pavement images,","venue":null,"work_id":"30d95e09-09ca-474d-b0d3-286d31e24acd","year":2025},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:19.377375Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:46501380754f2fce08fa6b23b89fd670cb72c665a456032c808d2ee742ac3fbf","observation_id":"407dbde7-1c0a-4e13-9dc9-41535ef97bf5","resolution":{"observed_at":"2026-08-07T00:56:22.599419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.584154Z","title":"Examining the relationship between transportation infrastructure, ur- banization level and rural-urban income gap in china,","venue":null,"work_id":"1d382a5a-9bb8-4905-a5ad-9abbbf2c27fb","year":2023},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:19.456906Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:1e3ffad1c4aa711effe6086dcc5c00bffdb119372857626f598ebf6659af9d6e","observation_id":"7809dc11-880a-40fc-bba2-6a431a8fecc1","resolution":{"observed_at":"2026-08-07T00:56:22.588488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.573110Z","title":"The impact of transportation and informa- tion infrastructure on urban productivity: Evidence from 256 cities in china,","venue":null,"work_id":"916d03e6-3930-4e8c-95dd-61f5bcaed306","year":2024},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:19.575822Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:8c9342a1af42f767b9921ab44313d7a67bde3ace4140eb83b42c9af7474638d6","observation_id":"4a7fe062-a971-4774-bca1-e32d511a1043","resolution":{"observed_at":"2026-08-07T00:56:22.576898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.562798Z","title":"Impacts of the built environment on activity- travel behavior: Are there differences between public and private housing residents in hong kong?,","venue":null,"work_id":"f2ca7c01-8d03-45e8-bdf8-6d2a72aa47a6","year":2017},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:19.665899Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:ce25ad3975fef4a5c644430638e0ffe0f9316826139e7ed800cfe9f1377f3e47","observation_id":"9b8fa4db-b28c-46f9-827c-52829b3d0317","resolution":{"observed_at":"2026-08-07T00:56:22.566181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.551723Z","title":"Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis?,","venue":null,"work_id":"e0f96161-15f1-4739-ba33-11fa521a93a5","year":2024},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:19.751336Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:acadca76f88649d1c9601d0b8158c064d5e4202c903e66dc02bad87d32fed4e0","observation_id":"fe7d4661-56cc-44c7-bdcf-971c134bc314","resolution":{"observed_at":"2026-08-07T00:56:22.555456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21158","last_updated":"2025-03-27T04:52:33Z","snapshot_observed_at":"2026-08-07T16:33:50.470299Z","submitted_at":"2025-03-27T04:52:33Z","title":"Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.21158","snapshot_observed_at":"2026-08-07T00:56:19.867460Z","title":"Integrating travel behavior forecasting and generative mod- eling for predicting future urban mobility and spatial transformations,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:19.867460Z"},"links":{"cited_paper":"/paper/2503.21158","citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:197e5435860191946262b7c5d01b2059ead68169518cff886613b5f62005aae5","observation_id":"cab8c03d-3f23-44e9-acad-e34d5bb42a94","resolution":{"observed_at":"2026-08-07T00:56:19.867460Z","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":"2026-08-07T00:56:22.541109Z","title":"Non-linear relationship between built environment and active travel: A hybrid model considering spatial heterogeneity,","venue":null,"work_id":"f450945e-cafc-4cbe-bc33-0c022922f1a4","year":2024},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:19.952676Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:11d856b2d540f20506e099b897bca6a72c872b391d4e50a11ed1227ae061ab50","observation_id":"e1d2b646-ab8b-4e8c-85bf-9d4f0f20a3d3","resolution":{"observed_at":"2026-08-07T00:56:22.544871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.530437Z","title":"Land use-transport interaction modelling: A review of the literature and future research directions,","venue":null,"work_id":"f91cf3bf-090c-45cd-b91f-63b0fe8b54fa","year":2015},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:20.069143Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:467a1a71a37c1737c0ba47cea20a683acbbf8687f1f16e109de55daeb214c4f3","observation_id":"cd8c5af0-739b-4e2d-a5d6-c5583cc94257","resolution":{"observed_at":"2026-08-07T00:56:22.533705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.520200Z","title":"Travel demand modeling and the assessment of environmental impacts: A literature review,","venue":null,"work_id":"302b4812-96b8-4df8-8216-a9680829817a","year":2024},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:20.133661Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:fd5eb6f8407d43c23177c7b399a2f11fa604372010d2ccdccb0674998c88b9f7","observation_id":"c8e46f86-b614-4d24-a61c-4ccd94a044b3","resolution":{"observed_at":"2026-08-07T00:56:22.523400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.509946Z","title":"A comparison of static and dynamic traffic assignment under tolls: a study of the dallas-fort worth network,","venue":null,"work_id":"de8fdc7c-77a4-4f18-bf6a-a808e174dc0f","year":2006},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:20.207948Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:f1fe4d2f22d2361113ad597332f3c6eb0c0fa4bf1daf1b06f33a3c61ba5f931c","observation_id":"66ef50f2-88ff-44de-a5a0-7b9e978a8e6d","resolution":{"observed_at":"2026-08-07T00:56:22.513588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.498826Z","title":"The multi-temporal urban development spacenet dataset,","venue":null,"work_id":"00f17644-3e77-4d14-bcc5-bfb01861e523","year":2021},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:20.312208Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:75bd99f83c6e55d95fc205fd85aade509a8d2309072053455aa91f5b9c49c410","observation_id":"3423bead-cf76-40f5-8fba-b38eba760929","resolution":{"observed_at":"2026-08-07T00:56:22.502838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.488167Z","title":"Rochester’s inner loop freeway-to-boulevard project: A case study,","venue":null,"work_id":"3b88764d-bd2d-45b3-83fe-a093c50268b6","year":2024},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:20.434755Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:89f2517b6d10567acb45f32c6a754cc3d224f550a6825ff149009784a0ea5614","observation_id":"e97b0a7c-034f-49ad-999b-d3a8303c88a0","resolution":{"observed_at":"2026-08-07T00:56:22.491896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.477578Z","title":"Metropolitan transportation planning: Lessons from the past, institutions for the future,","venue":null,"work_id":"ceaa2b58-490a-4be8-ad6e-55b5b6dbc05d","year":2017},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:20.521140Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:83ff5220fcd4bc7e80086feabf73adf4278f86e706dfb18d52161c2321f95217","observation_id":"65bd1791-8090-4534-b3dd-4fe9d5745eef","resolution":{"observed_at":"2026-08-07T00:56:22.481028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.467208Z","title":"A review of public transport economics,","venue":null,"work_id":"644c5004-2183-45e9-8210-38b5e5bed144","year":2021},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:20.572327Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:c269ab72ed35a51175a12a46ab9fbfbd48593646c4e9691343817c2e78ab60b9","observation_id":"537cc7e6-4a54-42a1-be66-0eeec7fbc675","resolution":{"observed_at":"2026-08-07T00:56:22.470661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.457712Z","title":"The shortcomings of the conven- tional four step travel demand forecasting process,","venue":null,"work_id":"34ef01ce-3a6d-4021-892b-742f80106cfc","year":2014},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:20.670627Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:dffe76c86437197d9925cb0c5e7dc7af8813b8e24579c22f4a4783c2e1034a3e","observation_id":"3f0dfd28-5933-457d-bb27-d1cde3da3922","resolution":{"observed_at":"2026-08-07T00:56:22.460765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.448344Z","title":"Compact city planning and development: Emerging practices and strategies for achieving the goals of sustainability,","venue":null,"work_id":"f78805ec-0b21-46ea-ab4c-9989dc98c1f2","year":2020},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:20.730498Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:cc4dbce4ac9f31e0ace1a1c30befbbfb0a201602bf0ab01403b37ece76e9eb1d","observation_id":"c235cefd-2544-4542-91c4-58be2b633bd9","resolution":{"observed_at":"2026-08-07T00:56:22.451581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.438790Z","title":"Sustainable transportation planning, a new academic spe- cialization in the usa,","venue":null,"work_id":"ada4ecb2-928e-473b-8e87-ce84d08d1a53","year":2015},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:20.884073Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:23a6ce3518c8b8327defd8606219ae274f2adfacdbb583dc2e55b6ef761793f1","observation_id":"25c50fb9-50e9-4e58-9c6f-709d438ec93a","resolution":{"observed_at":"2026-08-07T00:56:22.442035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.428979Z","title":"A systematic survey on big data and artificial intelligence algorithms for intelligent transportation system,","venue":null,"work_id":"fb759781-74b2-4296-b150-d9f76c6be6fa","year":2024},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:21.050290Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:f69c11acd25a7bc913a96bcda883dad37a9ae42507ad08f12593b804159c70ae","observation_id":"81a377a8-f8d7-46d4-b0d8-d6eb4a7545e6","resolution":{"observed_at":"2026-08-07T00:56:22.432518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05649","last_updated":"2024-08-10T23:20:36Z","snapshot_observed_at":"2026-08-12T23:05:29.080140Z","submitted_at":"2024-08-10T23:20:36Z","title":"Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets","version":1},"cited_work":{"arxiv_id":"2408.05649","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.05649","snapshot_observed_at":"2026-08-07T00:56:22.201284Z","title":"Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets","venue":"cs.CV","work_id":"b0f590f8-3f07-4361-b1e4-10fad88ed6e9","year":2024},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:21.214273Z"},"links":{"cited_paper":"/paper/2408.05649","citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:b3c92aaeff45b2ff5129d25f09af69eae657feff60494361ad6d4a51834aca93","observation_id":"ca438c30-f0b1-4a4b-b7b6-6cf21d5edb17","resolution":{"observed_at":"2026-08-07T00:56:22.205283Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.04110","last_updated":"2024-08-07T22:23:13Z","snapshot_observed_at":"2026-08-12T23:06:56.915911Z","submitted_at":"2024-08-07T22:23:13Z","title":"PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.04110","snapshot_observed_at":"2026-08-07T00:56:21.376791Z","title":"Pavecap: The first multimodal framework for comprehensive pavement condition assessment with dense captioning and pci estimation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:21.376791Z"},"links":{"cited_paper":"/paper/2408.04110","citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:7e68dbb6ac720309d713d1b0655b74a3de4a3e9601b238a16bab26ab4182b1f7","observation_id":"882c25a1-8e71-4444-bf08-1b5491061cf0","resolution":{"observed_at":"2026-08-07T00:56:21.376791Z","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":"2026-08-07T00:56:22.418461Z","title":"Weather- adaptive synthetic data generation for enhanced power line inspection using stargan,","venue":null,"work_id":"7379d39d-e186-46ab-b302-7770ccdef246","year":2024},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:21.501474Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:e21fdedb9211eae3e87fc99590c81eee31a544bf5058b874f987654647243b28","observation_id":"c31e485b-038f-4bf9-8c1a-89f29b3d6e59","resolution":{"observed_at":"2026-08-07T00:56:22.422201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14413","last_updated":"2025-01-24T11:28:17Z","snapshot_observed_at":"2026-08-10T15:08:16.918831Z","submitted_at":"2025-01-24T11:28:17Z","title":"Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images","version":1},"cited_work":{"arxiv_id":"2501.14413","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.14413","snapshot_observed_at":"2026-08-07T00:56:22.171164Z","title":"Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images","venue":"cs.CV","work_id":"f6966a28-d48e-4f0e-b0da-46e86e662bcd","year":2025},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:21.610718Z"},"links":{"cited_paper":"/paper/2501.14413","citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:da4da43a2dea3790472755ece5b9cda8710baa2784cea1e8abf424ce710a28bc","observation_id":"40909caa-c351-4e9b-beb2-9f9088ab18d5","resolution":{"observed_at":"2026-08-07T00:56:22.177134Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.408185Z","title":"Saam-reflectnet: Sign-aware attention-based multitasking framework for integrated traffic sign detection and retroreflectivity estimation,","venue":null,"work_id":"94e31662-9302-40a0-ae37-1ebecdf44c0c","year":2025},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:21.736981Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:ce97777ac25ca551221bea727182bd3734d6a62546f4410ba9817c09b75b3ace","observation_id":"a728c207-bfa5-4d54-8494-7d73eb181ef2","resolution":{"observed_at":"2026-08-07T00:56:22.411877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.01973","last_updated":"2025-05-04T02:51:00Z","snapshot_observed_at":"2026-08-07T15:56:41.820849Z","submitted_at":"2025-05-04T02:51:00Z","title":"Visual Dominance and Emerging Multimodal Approaches in Distracted Driving Detection: A Review of Machine Learning Techniques","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.01973","snapshot_observed_at":"2026-08-07T00:56:21.853629Z","title":"Visual dominance and emerging multimodal approaches in distracted driving detection: A review of machine learning techniques,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:21.853629Z"},"links":{"cited_paper":"/paper/2505.01973","citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:fcbf3f17ae8a0da6685b891b642d7bf5777fc0a31dde4171d5fbb376eba0a3cd","observation_id":"5052bd98-1241-4899-93e7-9126f9524e8c","resolution":{"observed_at":"2026-08-07T00:56:21.853629Z","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":"2026-08-07T00:56:22.398493Z","title":"Projecting global urban area growth through 2100 based on historical time series data and future shared socioeconomic pathways,","venue":null,"work_id":"c4efae10-7b60-42da-8b2c-b58ff16d2a64","year":2019},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:21.936618Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:2d07938b0c4557fc788fd0058d8aabf414d415e5e97285b30e225028fe898b4b","observation_id":"cec8a47f-bea7-4941-a446-49d18ddcc070","resolution":{"observed_at":"2026-08-07T00:56:22.401741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.388700Z","title":"Characteristics and factors influencing the expansion of urban construction land in china,","venue":null,"work_id":"8dcb38c5-3bf6-4e6a-a9ee-3a3ef1d0a8b3","year":2024},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.027959Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:af3206031da8b04617a54703d8b36ed1e37eef405a330d4746145bf5f117cc51","observation_id":"f75bf4b8-d0d7-4cc6-9913-100e2ff10aa5","resolution":{"observed_at":"2026-08-07T00:56:22.392012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.379019Z","title":"Highway to inequity: the disparate impact of the interstate highway system on poor and minority communities in american cities,","venue":null,"work_id":"772cfb41-666b-41a0-8a50-207fe6e8ca9a","year":2015},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.076234Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:b2bba2465e481939a83efc6d4ab75ab195ec3f63343dc2bfce82ab9d7786ca09","observation_id":"5329199b-58ae-4ab1-b0f8-ce3cf9008e5b","resolution":{"observed_at":"2026-08-07T00:56:22.382441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.369515Z","title":"Socio-demographics, activity participation and travel behavior,","venue":null,"work_id":"184024e3-2667-4d2d-aada-927c1bd64ac4","year":1999},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.083004Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:197b2c03f8805463b22bbc8a2ac5e2e105c0d2d74f093e69878a444771c0236c","observation_id":"13b59c61-ed42-4523-bf0d-738a7f81ebf2","resolution":{"observed_at":"2026-08-07T00:56:22.372663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.360162Z","title":"Factors that affect travel behaviour in developing cities: A methodological review,","venue":null,"work_id":"e410a627-18e9-41b3-868f-9432775d0d76","year":2022},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.086434Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:cba494db57aea9a38ea72360d4b932ef2881f758c8b3472e48652f08d9d4a1f6","observation_id":"a880ca41-c7be-4187-b5ee-0849e7c131f2","resolution":{"observed_at":"2026-08-07T00:56:22.363284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.350534Z","title":"Google earth engine: Planetary-scale geospatial analysis for everyone,","venue":null,"work_id":"29aa4d44-6a4a-4b9a-b7e7-ccd4d1eb9bfa","year":2017},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.089735Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:7cb1c1bda19faf0dff10396e527a9672fedab86d65155467bf99e0b11e334bb1","observation_id":"5cfb5f8a-e97f-429c-8f1d-11451fb5cc41","resolution":{"observed_at":"2026-08-07T00:56:22.353863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.340345Z","title":"Travel demand and the 3ds: Density, diversity, and design,","venue":null,"work_id":"080fa4b5-a035-4ebf-a0a8-979bb152db9d","year":1997},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.092760Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:757be8d7964b7cfabd622c525fe5d2b1671f8279959389aaebb96fedcbe24513","observation_id":"d4ad9acf-94da-4507-9f01-4bed4876cd0c","resolution":{"observed_at":"2026-08-07T00:56:22.343974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.330346Z","title":"The causes of metropolitan suburban- ization,","venue":null,"work_id":"905d828a-c787-4edd-a76e-cf47b0e69d71","year":1993},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.096071Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:deb71224e9f49080025290a8a2c8c2fdd60e8035bb9c544c71d70d13033d290f","observation_id":"1afcb73f-7329-480c-b975-3f0775039f49","resolution":{"observed_at":"2026-08-07T00:56:22.333594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.319598Z","title":"“the creative class","venue":null,"work_id":"529ef018-0640-4b70-9781-ade74b7bf956","year":2002},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.099548Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:b2940b40fb81d872e6242b40c29a48380e37db37a3483f7b0afe0145c58e727f","observation_id":"10034417-0228-4e9c-8adb-1a45716b7d03","resolution":{"observed_at":"2026-08-07T00:56:22.323371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.307821Z","title":"American apartheid: Segregation and the making of the underclass,","venue":null,"work_id":"68c233d7-1c46-4466-b50e-c3a6323af4b2","year":2019},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.103034Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:d24bef8a591825ac9d8c6c38142068b2e476107271792846aed8e2fd4459d989","observation_id":"094739b0-cdaa-4110-b5d3-4d2565b861ad","resolution":{"observed_at":"2026-08-07T00:56:22.311490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.296192Z","title":null,"venue":null,"work_id":"808d4a02-cd11-44d6-9a7d-913955752000","year":1994},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.106220Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:a4ec261028173e022024c60c71e42646c81e713da47bc2129698c4fddf34c6f7","observation_id":"64ff27f6-b671-4f1b-bf32-b227b957ae45","resolution":{"observed_at":"2026-08-07T00:56:22.299798Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.283550Z","title":"Travel and the built environment: a syn- thesis,","venue":null,"work_id":"69e102f8-020d-46bc-aca7-02712ff435f2","year":2001},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.109394Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:6da9f3293a4b976d589da92c63c17dc47b3d382f8acd36eba8ff66a07e546c0c","observation_id":"0887a358-14bf-4ec5-af4d-f0cf8071c1ba","resolution":{"observed_at":"2026-08-07T00:56:22.287857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.271608Z","title":"What about people in regional science,","venue":null,"work_id":"97304552-f271-4ad7-950a-977ba150d135","year":1970},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.112851Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:3e696407ff03c8335e7c18ea61e01c31b523ca878626b9d25da2b7d733a3f9bb","observation_id":"c0fa8aa9-89dc-4858-b191-0c6067f0b726","resolution":{"observed_at":"2026-08-07T00:56:22.275226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.261054Z","title":"Gasoline consumption and cities: a comparison of us cities with a global survey,","venue":null,"work_id":"d6d79517-1834-4aeb-891c-364f78ce97f2","year":1989},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.116414Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:3f7b8a5ae4f92d3e599518dc5cdd1f9592f74398182346823adb4800e1942984","observation_id":"808dcd92-6333-458d-98bd-218f6dc97fcd","resolution":{"observed_at":"2026-08-07T00:56:22.264603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.249946Z","title":"Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures,","venue":null,"work_id":"7d9f999b-d619-4a76-beac-de1119fb9cef","year":2003},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.119969Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:2f676356aa2c608d4fe80683cb337b002aaffeedd659881ba2f5c782bcfc3a53","observation_id":"d757294c-10d6-49a0-856d-fde6cdec9f29","resolution":{"observed_at":"2026-08-07T00:56:22.254113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.239732Z","title":"Examining the impacts of residential self- selection on travel behavior: A focus on methodologies,","venue":null,"work_id":"75a6429e-6f3c-4e6a-88bf-3770b3c3dc36","year":2008},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.123287Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:c8f440678d47e61840303b2c973a3728ae6c808006bfc0cd3da52eba694ba62e","observation_id":"cc60e412-761d-4ab3-ab4d-dc044c4a63c6","resolution":{"observed_at":"2026-08-07T00:56:22.243116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T00:56:22.227942Z","title":"Transport and social exclusion: Where are we now?,","venue":null,"work_id":"a46bf079-3fb8-4b9b-95a3-7dc0c0217db8","year":2012},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:22.126718Z"},"links":{"citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:20d5a87885b7ee908494bc3bd8e127654a268c01d2ed979b8fbe326ca1f66735","observation_id":"0a170560-c3e2-4312-8c23-07d2effb17b8","resolution":{"observed_at":"2026-08-07T00:56:22.232080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":2,"verified_fuzzy":38},"total_outbound_references":44},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2506.12456."}