{"as_of":"2026-08-10T00:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b0fdd13573c670e3548fda34da205966fc29f1007cecdf831efbce279e6b2a0e","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T19:14:18.883625Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.05476/citation-record","integrity":"/paper/2502.05476/integrity","json":"/paper/2502.05476/citation-record.json","paper":"/paper/2502.05476"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:18.794284Z","title":"Electron Markets 31(6), 685–695 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.794284Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:bacabe3d86ba78a4bb3cc81169b4de1895a18ffb59a15429716ca8baa00b205c","observation_id":"94883502-a11e-4892-897f-77c9dd633376","resolution":{"observed_at":"2026-08-08T19:14:18.794284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:18.798849Z","title":"Pattern Recognition Letters 141, 61–67 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.798849Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:0e9905c0c85491eea8663eda2d9dd414132420b721eb1924f2817e13ae5ebdd0","observation_id":"31ca1cd9-71a4-4ad2-917d-cde04395b298","resolution":{"observed_at":"2026-08-08T19:14:18.798849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.protcy.2016.05.150","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:18.961019Z","title":"Procedia Technology 24, 1366 –1373 (2016)","venue":null,"work_id":"f6b10796-fde2-4d79-9901-1ff15b798a23","year":2016},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.802719Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:77b12fdee4069c3c6cd6694a5d15fa72dc1c6c0279e86386d3caeaea711c7006","observation_id":"ab89fa31-0297-4ef0-860f-eb196bfe1926","resolution":{"observed_at":"2026-08-08T19:14:18.964678Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:20.319419Z","title":"2018 Baltic URSI Symposium (URSI), Poznan, Poland, pp","venue":null,"work_id":"7dd8c76e-fa53-4a27-bc04-f81f14b73700","year":2018},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.806880Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:0621251a6e06ed822941ac9c5e3af3175fb0b824b785edf1f2a54adf36379ad7","observation_id":"d62411ec-49de-4719-9788-7a195e3274f3","resolution":{"observed_at":"2026-08-08T19:14:20.324176Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:20.125719Z","title":"2016 IEEE 19th Interna- tional Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, pp","venue":null,"work_id":"c309c113-c8e2-4df4-8432-8ecb60dd1236","year":2016},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.811253Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:74c83355e9325a9ccd7af93ef84b9602278e2fb698920f20c2dc7f688f2e84e5","observation_id":"004bfe26-6e6f-4ed4-b9ca-bce620d61e86","resolution":{"observed_at":"2026-08-08T19:14:20.129487Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:19.958450Z","title":"IEEE Transactions on Sys- tems, Man, and Cybernetics 8(4), 237 –247 (1978)","venue":null,"work_id":"fd928573-9a69-4a5e-ad78-ed22673a5084","year":1978},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.815105Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:e40453f0adca813fa50e3fe58be81a3606b376665fa614f03accd7a0c9c1c378","observation_id":"d267eb25-5596-4ab8-97bc-839e0a1edb3d","resolution":{"observed_at":"2026-08-08T19:14:19.962472Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:19.773217Z","title":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), Tirun elveli, India, pp","venue":null,"work_id":"6b151454-2b89-4e6a-93b7-c5284646944d","year":2023},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.819893Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:99e853889af27ec17b92d382c0b2aadee27303b51beed5e681d8936cb3e40cf0","observation_id":"a2152c30-3334-47dd-b371-41928403f226","resolution":{"observed_at":"2026-08-08T19:14:19.778565Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T19:14:20.421752Z","title":"In: 2021 28th Conference of Open Innovations As- sociation (FRUCT), pp","venue":null,"work_id":"0987073b-9d95-4d3f-be1b-878784cd099b","year":2021},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.823911Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:b0fab7ee198005cc0e3674e6acf4554e9cabff5300aa6ab66dea523935f3bf35","observation_id":"6c4cc62b-e26e-4d24-b582-7e25f00a6150","resolution":{"observed_at":"2026-08-08T19:14:20.425477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T19:14:20.411278Z","title":"Scientific Reports, vol","venue":null,"work_id":"195a3d50-b559-4c13-b6db-c95678a9be56","year":2019},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.827640Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:89679edbdcb843e6097de043915bcf253a9cd1d44610fad98cb36aa9059f9137","observation_id":"82061ef8-c2ab-4219-98f8-fd35bdcb8acc","resolution":{"observed_at":"2026-08-08T19:14:20.414807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T19:14:20.398393Z","title":"In: 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineer- ing (EIConRus), pp","venue":null,"work_id":"03853cce-a24e-439a-96b8-10f0b975def5","year":2020},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.831464Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:3d711ca521ba3afb2069f3cae9077bfa92f59375c14269f100f08b9cd7516f61","observation_id":"91e59aa5-7aa7-4cba-8438-16c7ee47d81a","resolution":{"observed_at":"2026-08-08T19:14:20.403398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T19:14:20.387777Z","title":"In: 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pp","venue":null,"work_id":"b9f4b9bf-c6c5-4e88-8eef-a4610d8c2633","year":2019},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.834860Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:7c4d4be9302006fc19611a21fcaa2f3213bc89b0182ea3b692802758e5257f72","observation_id":"b930ae6b-4a24-41c4-9c14-deb11026c0e0","resolution":{"observed_at":"2026-08-08T19:14:20.391685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T19:14:20.375745Z","title":"In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp","venue":null,"work_id":"c429eb7a-4bf8-48ed-bb1e-b93b50a6d058","year":2019},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.838729Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:1e5ea56d2fc2dd6e4dc0670db32190bf8341e87e3b4d265cacc2cfd4bd237541","observation_id":"83a63e90-c2b1-4fbc-a4c3-9138b4f9f273","resolution":{"observed_at":"2026-08-08T19:14:20.379849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T19:14:20.364421Z","title":"IEEE Transactions on Medical Imaging, vol","venue":null,"work_id":"4077fc02-c5d1-4cd6-b835-677e7ba19426","year":2018},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.842033Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:5a36f1fdbe1d924ee85b8764435d611ac4a820566bd17d62fef4bc21be51bf08","observation_id":"0cde9639-4432-4b42-87e9-c6e1d36510c6","resolution":{"observed_at":"2026-08-08T19:14:20.368190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T19:14:20.353954Z","title":"In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, pp","venue":null,"work_id":"444b2773-8374-46e4-b07b-1f150f8ff04d","year":2020},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.845507Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:1be5d3dfc6bed78bf3e9bc355c528cf4f3da8af194a5b28056cd1e6f34c83bc4","observation_id":"3d6593c0-654b-463a-bda0-a04c3ac52979","resolution":{"observed_at":"2026-08-08T19:14:20.357657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T19:14:20.342929Z","title":"In: 2019 Systems of Signal Synchronization, Generating and Processing in Telecommuni- cations (SYNCHROINFO), pp","venue":null,"work_id":"41008df9-c1e4-44c1-8b9c-8b313030483b","year":2019},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.849690Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:863b340408d07c46d9122fe4e0b6dc16a5ad5ce85b19d9fb5da4274c3eb6f4f4","observation_id":"c3a0229e-9efa-4a3b-aad8-cb104f34d8f9","resolution":{"observed_at":"2026-08-08T19:14:20.346631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.00957","last_updated":"2019-12-02T17:41:20Z","snapshot_observed_at":"2026-07-06T08:41:27.757183Z","submitted_at":"2019-12-02T17:41:20Z","title":"Applying Knowledge Transfer for Water Body Segmentation in Peru","version":1},"cited_work":{"arxiv_id":"1912.00957","doi":null,"metadata_source":"pith","pith_arxiv_id":"1912.00957","snapshot_observed_at":"2026-08-08T19:14:19.590935Z","title":"Applying Knowledge Transfer for Water Body Segmentation in Peru","venue":"eess.IV","work_id":"0e2712f5-1e82-4cd6-8740-af013cde0a98","year":2019},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.853457Z"},"links":{"cited_paper":"/paper/1912.00957","citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:7da73db0414b020ebff3087e446d8f05fbdda1b6cadf6b7eb95034c9eaf3ab41","observation_id":"48f07671-27de-47b6-b830-5b52075bf943","resolution":{"observed_at":"2026-08-08T19:14:19.595452Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T19:14:20.331317Z","title":"IEEE Transactions on Geoscience and Remote Sensing, vol","venue":null,"work_id":"47ee03a0-e3b7-4646-8b48-72e976d0e2d2","year":2019},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.857432Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:f46e1488c4f7ef0e7dc64d48b439ae9d13e6b7fffec86f3ebce7881a23ab5fb4","observation_id":"5f6ad922-7387-4748-a54b-4c59e85282ac","resolution":{"observed_at":"2026-08-08T19:14:20.334987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.neunet.2019.08.025","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:18.950015Z","title":"Neural Networks 121, 74 –87 (2020)","venue":null,"work_id":"dd11b84b-15ae-414a-8b89-ed8e870b4b66","year":2020},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.861560Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:dc9a1bbe9eb63e893783d7d4f38dcc4476988bfbb83bdc75f251c44dbfeafb2e","observation_id":"3c307394-a776-4917-81cf-0de8ce7f7ef4","resolution":{"observed_at":"2026-08-08T19:14:18.953757Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1155/2022/4189781","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:18.937720Z","title":"Journal of Healthcare Engineering, vol","venue":null,"work_id":"8b6e495d-967a-4f2d-82a9-3d44e9a22cd5","year":2022},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.865155Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:09a3cdcf1a537d5afef6241f79d959db8f56e8a07072b6cfa5926da2318b5af0","observation_id":"af491c7c-c75e-4c27-ab91-adc0a6337182","resolution":{"observed_at":"2026-08-08T19:14:18.941652Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-09T00:17:57.710284+00:00","source":"paper_reference_links","state":"open"},"event_date":"2023-10-18","event_type":"retraction","notice_doi":"10.1155/2023/9890389","provenance":{"observed_at":"2026-07-11T02:53:59.260384+00:00","source":"crossref","source_record_id":"10.1155/2023/9890389->10.1155/2022/4189781:retraction"}},{"edge_observation":{"observed_at":"2026-08-09T00:17:57.541809+00:00","source":"paper_reference_links","state":"open"},"event_date":null,"event_type":"retraction","notice_doi":"10.1155/2023/9890389","provenance":{"observed_at":"2026-07-08T21:54:04.74669+00:00","source":"retraction_watch","source_record_id":"61600"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:19.572478Z","title":"IEEE Access 7, 44247 –44257 (2019)","venue":null,"work_id":"756f9ec7-ded5-48d3-919b-7628f046a1db","year":2019},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.869280Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:72d2d3611cc591ea8872cc9ecdbf03a1d975106187744f296b78a8c075cead3f","observation_id":"51295c74-3bf9-4f82-9e1b-bbde8986c314","resolution":{"observed_at":"2026-08-08T19:14:19.578814Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.patcog.2010.08.008","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:18.925092Z","title":"Pattern Recognition 44(4), 777 –787 (2011)","venue":null,"work_id":"33589b0d-4c0a-4316-9d90-35e78e76dc65","year":2011},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.872717Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:eb878f863307471a462230f62ad8efe91a6899bb39af0e355df2376079894b01","observation_id":"05046033-7f36-45d2-8f98-ea0d345a1676","resolution":{"observed_at":"2026-08-08T19:14:18.929180Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-030-33966-1_11","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:18.911310Z","title":"In: Dash, S., Acharya, B., Mittal, M., Abraham, A., Kelemen, A","venue":null,"work_id":"5b41c37a-f54d-47f5-aedb-606fe3e77287","year":2020},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.876412Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:c0d3a2a521c99274cb9eae963237d17c9f71e0d888ff82b91c8fa376ee6843ea","observation_id":"8527481c-7bc8-4437-abb9-1165897445aa","resolution":{"observed_at":"2026-08-08T19:14:18.916862Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:19.408693Z","title":"2019 41st Annual International Conference of the IEEE Engineering in Medi- cine and Biology Society (EMBC), Berlin, Germany, pp","venue":null,"work_id":"92426ee9-e9b1-4e9f-abd7-1307d221ba60","year":2019},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.879943Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:020ec8c09633008a28786c54a48db2ca8e0d7da8b3e136b5b57340043bbcce15","observation_id":"77bc194a-96dd-47c9-b5fc-f3459609712f","resolution":{"observed_at":"2026-08-08T19:14:19.413277Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T19:14:19.203937Z","title":"Applied Soft Computing 126, 109297 (2022)","venue":null,"work_id":"5589ca8e-dd24-4069-b8f3-a26099b1226f","year":2022},"citing_paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T19:14:18.883625Z"},"links":{"citing_paper":"/paper/2502.05476"},"observation_digest":"sha256:bfb8abdfcc6b80cb8735f7c588fedda8d2858152009ae54f771c19c3902f4afb","observation_id":"00dc923d-7bfb-451c-9723-09ef66e418a4","resolution":{"observed_at":"2026-08-08T19:14:19.208080Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.05476","last_updated":"2025-02-08T07:27:12Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T19:08:16.626022Z","submitted_at":"2025-02-08T07:27:12Z","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":13,"verified_fuzzy":9},"total_outbound_references":24},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2502.05476."}