{"as_of":"2026-08-11T19:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:515ca29dccc6f2fda02c8e8caa4679cbf4503b9eaae7b58d984bb9598fc2249b","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":"2026-08-11T06:34:44.6726+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":"sha256:255731404325944e2d36f7f1a18228d6d663f618a209fb62e52f39331d145e38","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:2082b10ea8ed28e27793e277e855bfc9413bcbe60a6ab4e9dd05bbbd3fe6e53e","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:769dfb40f4ce72eb0fe5a4f35fb04d8ac69237d9fd5028d0e848f2d6d598af98","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:ad7724595a9e61179f3cd2f55493f65e84b3afc0be17a1219cbf56c04a52575c","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:b090bb5074aac5c25807939dd15fddd95c2dd785fcea0bfef1b0774ed355c59d","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:a3b5b2263dd03279c733653a9f5e75979059fc9c4e2bda641241f3c080bc1933","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:67c8d4036ce64a5d2a5f36f8168f795b7dffb38d49c23bfd228e458226415784","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:c635b72c40ce71623ecdd9aaa30bf48316f6ccc3d7eea6c8299e36d7255faa9b","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:0f64aa7dd01477da88e21068dc70b1601d0f36b4b5213e7a8d8a4f84c0ece1df","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:597bbadc42cdf4f9dd1f1d6b20d3131eb398987e5f8804ba1cb47edfe5432d10","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:45a87ec3152b30f2c337315c0c239838bee1247e53700c6819fbc0a0c5733492","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:f8b93337f730d812158e1bcf4c03614568448ac0674eb3920da7eeab9ca697b6","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:0bc8e9f35ed381f7f498446c5fb0f177e9c242196818e1ab50743920d1ac1bb4","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:f0469a5faf3ab3703b7a61467f1b06621241dd3b76de65f9ea68af8d20172577","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:9c365ce0facd15808164c1da253416b1e052c0fe430f0b6ee94075a6d2dd3432","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:71fc1a56fc00c015f373f971c68484b875c1d7c24a2917015cea99a855be793e","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:b526d2257735f08f332925f68661a24310ce0617e9e2a9e28540ecaf628ed6f0","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:9d71c9658251c4af9992eb49ee87702402f798015bf890b02302ad370dd37c18","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:14075d9cb3cd4ef31a0991c20586e02cec93f2ea4fd032a0df86766e7b1f11f6","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:c4b4ed5161d84c0c5beca37aec0d6d20b6ae388c38ba4ce3d7ab9ffe4216e719","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:931d6075928d4cba45102637220701b7f932eeea85aaa36fad9b73b5b1f78b62","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05649","last_updated":"2024-08-10T23:20:36Z","snapshot_observed_at":"2026-08-11T08:54:06.063978Z","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":"sha256:4b86cb32d218bce6071ab44e98f2b879678d9aeabbf61a2808a152655e9728c8","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.04110","last_updated":"2024-08-07T22:23:13Z","snapshot_observed_at":"2026-07-06T18:58:09.650413Z","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":"sha256:6ff600719387f2c3ef3b9e2709aa2b0174c5687d7185496aa1c6e7444dffd99b","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":"sha256:1ce592f3cd910373a5588237d928e3a1a76cd89d92bbbe5118a0ee649a426529","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:19c9b11c8da33b8fd248db571ec288c3310d4a4aaee3b1f61d2a1518f2cfc9b4","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:a21a4a54afe13503cc08625b0d0bb59fd389c66f724ba62f88eb39fc847456e1","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:6bfbb6893dc41ef25caf4621cc521ad024dd7052bb81eb2f4774fc6405cb2f9b","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:1a71b6b4e4a10fa220633c5a484f06146ce9306df485e325367efce1318be442","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:c4cfd4e07f871aaf99cddd97ae113368ed5d488b1a749f0aef71353338d9d2db","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:32b4d86513067bfb17520ba4ec11653705231a13be0352528a7b20aef6affbee","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:feb5dab29907db2a14c812a43be4a29a614c925afad7ea8a6e2aa225f1bf8184","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:e1615e95c664ab69667951e960e74e57dcb0f8137250ebb6ba3c6babee8e2fb1","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:c5f11cecea3e7bff5def26803f0cb60e718c9fa5220900d2155493933d84770c","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:8669f1af8b4a9a1758a4331ed6ac49f93d4150ed4585c982029fd6a40f845259","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:af3b2e2b1d11437e9c0e0086a1c7bb702db3efd1ea987ebca77b0df3455a8efb","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:1f425b2d013ec11b25f3e3236ac703fa9cfbccad04fc895ff13f7b56ebc48c2b","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:95f11e98679b3e5da5565e3cb2b48a2016b4bd8a58fb8619c03d71a11904b20b","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:1bf08ab4ece572bb648e8a0a0cfa6d21bb1f316a3c840156d5bc3fca8ea8f529","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:5e4838b3f7a0cf32d3a03acc2d6f6bb957ffc4091e31c23c543dba404525968f","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:eea2c02ffeb938638bde83519fe40b54d17a347bb12532414099cb7100169965","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:143cfc0c2e504d6b01ed6f73302a0c36e77dbea752191c429f283f5b3043d086","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"sha256:6799f5a77993abe14ac1fbf40855d14baea0ad3efc82c8d7b99058095dda1235","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:bbf30eab05cd3cee0d777ec7fcda71f1b1830e25ccbaf992822be2df32b6abfb","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 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2506.12456."}