{"as_of":"2026-08-07T07:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ef082fd6efedb0a5f78ff6248b06fdae5c5d223dfc7faa723933f5dc5a8c479","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:49:54.019898Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.01747/citation-record","integrity":"/paper/2507.01747/integrity","json":"/paper/2507.01747/citation-record.json","paper":"/paper/2507.01747"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:03.342209Z","title":"Annual mass changes for each glacier in the world from 1976 to 2023,","venue":null,"work_id":"fb15c0dd-a065-4b53-94d2-e5e555b311d2","year":1976},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:48.687063Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:e0b508c42fe5c77cca960a641df0703e256f14d72c9e64d8b293189aec31ef50","observation_id":"6d391f0d-0e92-41ad-b6c2-980f580071b3","resolution":{"observed_at":"2026-08-06T20:50:03.440314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:03.183017Z","title":"Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 6,","venue":null,"work_id":"a8cd9c5e-4ff5-40ae-b7c7-cabfc8438966","year":2017},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:48.743387Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:6a87acc7071157b7f5c7b5a6eb1e0561a88be7ac16221072cb08ca92ca7943fd","observation_id":"b104eaa3-c3b0-46e7-a36e-4587481afa41","resolution":{"observed_at":"2026-08-06T20:50:03.244864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:03.037154Z","title":"Greenland ice sheet mass balance: a review,","venue":null,"work_id":"0e30b9ca-08eb-412a-959f-30018fa4021d","year":2015},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:48.814092Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:6791a826839404d6e706637293775316c67f179d738a61e50d3fa95183202181","observation_id":"ff2b29c1-06bb-4e55-ae33-c0f8312b221f","resolution":{"observed_at":"2026-08-06T20:50:03.113597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:48.881103Z","title":"Mass balance of the antarctic ice sheet from 1992 to 2017,","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:48.881103Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:f195bf463d9a38980e70ed8c60511d8d3009cf1a38c1ee8336f9c6461def31e9","observation_id":"e2f7254c-3fae-494f-823a-66c6d1f05327","resolution":{"observed_at":"2026-08-06T20:49:48.881103Z","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":"2026-08-06T20:50:02.866224Z","title":"Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change","venue":null,"work_id":"bb6cfbaf-f84b-4ed0-ac1b-a3f784d60d5e","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:48.993594Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:9a10110da53b3a65d6fff71df6f708614bc21c8b5e207e24e56e76fa54acf3b3","observation_id":"cac10987-ae4d-4565-8cf9-3a37cd8fa59c","resolution":{"observed_at":"2026-08-06T20:50:02.941034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:02.701246Z","title":"A deep active contour model for delineating glacier calving fronts,","venue":null,"work_id":"a07f2348-9cc6-4238-865f-91453d868b9e","year":2023},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.057885Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:e5a34094de9b7008f667f51b12fc672036f8270833d92856186f704308bb4e27","observation_id":"4999c07b-5184-4f95-9b06-ce272664a3f2","resolution":{"observed_at":"2026-08-06T20:50:02.800526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:02.544500Z","title":"Extracting glacier calving fronts by deep learning: the benefit of multi-spectral, topographic and textural input features,","venue":null,"work_id":"97b7e655-7b55-464a-b307-ad874d8265a5","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.166205Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:c7e70092c900a51881054d93317773eec2a7b8f060067565e3628d2354768891","observation_id":"ababaac3-ee49-4452-aa10-4c7b5111b807","resolution":{"observed_at":"2026-08-06T20:50:02.609173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:02.436561Z","title":"Remote sensing of antarctic glacier and ice-shelf front dynamics – a review,","venue":null,"work_id":"3307b26a-356e-497a-b592-7b916bcc1e8c","year":2018},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.267974Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:9d2ceac4dafd5f2910b424bb7341b662954fd71304a427185252b4b1eeda6c68","observation_id":"74095eff-a551-456d-af5b-c0fd377c8b62","resolution":{"observed_at":"2026-08-06T20:50:02.495729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:02.299466Z","title":"Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture 11 radar imagery,","venue":null,"work_id":"8ba4e48e-1c7f-4844-99aa-77ea61d5368a","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.331150Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:1df26eb84e2b20a2f72215d790697ea8bcb1f1f17b08106e74e85046c20841b0","observation_id":"ab619c13-2931-4217-b562-a097853e04d5","resolution":{"observed_at":"2026-08-06T20:50:02.368616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.05281","last_updated":"2026-04-17T12:01:26Z","snapshot_observed_at":"2026-07-06T20:18:44.883632Z","submitted_at":"2025-01-09T14:43:36Z","title":"Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning","version":2},"cited_work":{"arxiv_id":"2501.05281","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.05281","snapshot_observed_at":"2026-08-06T20:49:54.485730Z","title":"Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning","venue":"cs.CV","work_id":"d69a14ef-ef1f-451d-9e12-c37a71075238","year":2025},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.399514Z"},"links":{"cited_paper":"/paper/2501.05281","citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:7f84e7bc68fccdbcac8981db95dbafd92cc3199f95b50027233be28b0072ab06","observation_id":"a3635432-847d-4959-a9a4-eb669a6c9355","resolution":{"observed_at":"2026-08-06T20:49:54.535005Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:49.475087Z","title":"Contextual hookformer for glacier calving front segmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.475087Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:efdcd68bb6eba451a7d9e4ae89b5bb71783e0851c303720bbecaa16790c76af1","observation_id":"af925b86-432a-482b-bcc4-718eae1920b7","resolution":{"observed_at":"2026-08-06T20:49:49.475087Z","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":"2026-08-06T20:50:02.096951Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows,","venue":null,"work_id":"fc79b310-4ebf-4098-a561-d03ea6323472","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.552506Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:0e639b1f9ab245f76496a29fb26dfcb16b78525ac36f2afcdad5385b28884f6c","observation_id":"6ed341bf-e023-4231-b28c-176770d9a9bd","resolution":{"observed_at":"2026-08-06T20:50:02.151422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:49.669676Z","title":"Imagenet: A large-scale hierarchical image database,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.669676Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:91904429312a1f88071a2aee940050e58acead9794dd80f56ded3756f2db3bdb","observation_id":"c4368e01-5b21-4786-8a5c-98b2271d6ecd","resolution":{"observed_at":"2026-08-06T20:49:49.669676Z","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":"2026-08-06T20:50:01.936410Z","title":"Segment anything, from space?","venue":null,"work_id":"15890bb5-a10c-49a6-9d4d-b9e4176dbaa9","year":2024},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.775917Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:2a94f325522cc6801aa3e0d4b750f5d40289e02583b0da2b223a23b0fbaf46b8","observation_id":"1894bbec-024f-4221-9d26-3bd9d3e3de25","resolution":{"observed_at":"2026-08-06T20:50:02.016969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:01.795267Z","title":"In-domain self-supervised learning improves re- mote sensing image scene classification,","venue":null,"work_id":"5c190ffb-d46b-410b-8c88-7e08b6740f7f","year":2024},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.874330Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:30b4a35bceef7182f1d662a929e0a0bf5eb4dc7ec8146bfc36ca82ae6f7735c8","observation_id":"d9f0395b-e7dc-4b7c-a6b8-3198f91ba39d","resolution":{"observed_at":"2026-08-06T20:50:01.848297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:01.626542Z","title":"Self- supervised vision transformers for joint sar-optical rep- resentation learning,","venue":null,"work_id":"6b1021ba-4213-4ec1-a7d3-3f81a61e8d5b","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:49.935765Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:bcc848e0d2dab1ba8558e399c6bf37152eed77bb08fdd0c057ae9d6aaa01cdf8","observation_id":"95d48ed4-ded5-46fb-8cad-c055c1290339","resolution":{"observed_at":"2026-08-06T20:50:01.685020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:01.497143Z","title":"Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data,","venue":null,"work_id":"bfa1469e-fc95-4fcb-91ce-630a0861fc95","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.015355Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:2f4ceebc50a2b76a4a508b222f22a04255167ff9860aae555a1a412fcecc11aa","observation_id":"a50aa552-9968-4bae-a045-bc77cafbfd48","resolution":{"observed_at":"2026-08-06T20:50:01.582333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:01.339640Z","title":"Self-supervised classification of sar images with optical image assis- tance,","venue":null,"work_id":"83857f34-d95c-47aa-9c85-1c3122ee91c5","year":2023},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.086661Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:a7044b15c82cd3e0f87225df679ec054d6657234b7a9e41231563c4b284d20e2","observation_id":"b61d821b-cb5e-4d2a-aaf8-1c5e1f077682","resolution":{"observed_at":"2026-08-06T20:50:01.405159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1080/0143116031000139890","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:54.297900Z","title":"Automated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptive thresholding methods,","venue":null,"work_id":"3825ba41-5947-478c-a829-0a78fe7ed2df","year":2004},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.260351Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:cc83607ea7013bf4107361fde393e237428b239d0b67e9aa8c56316bcbefedbf","observation_id":"bbc78637-afd9-4acd-85fc-3df82abb1847","resolution":{"observed_at":"2026-08-06T20:49:54.390612Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:01.210606Z","title":"Automatic calving front delienation on terrasar-x and sentinel-1 sar imagery,","venue":null,"work_id":"f562ae65-bdba-40b6-b5d2-123a489408f9","year":2017},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.368580Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:81b706ce56dd5f951f3a447a79e19f3c21cdcfbb8142e9e4878179bbf7ec75f4","observation_id":"ca8209ac-2ab1-41fc-a3fd-21531e57bc02","resolution":{"observed_at":"2026-08-06T20:50:01.280649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1080/014311699211705","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:54.141991Z","title":"Mapping ice sheet margins from ers-1 sar and spot imagery,","venue":null,"work_id":"fc045a2e-8e92-449c-9edd-ed2ca7013652","year":1999},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.452815Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:a3efb8df9000db7e8f29def0cb1d7012c605295a9c9d8d7bd77c0736b58c4725","observation_id":"96eb0f6f-f900-481a-a99e-faa96de90b95","resolution":{"observed_at":"2026-08-06T20:49:54.185107Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:01.066232Z","title":"Ocean forcing of the greenland ice sheet: Calving fronts and patterns of retreat identified by au- tomatic satellite monitoring of eastern outlet glaciers,","venue":null,"work_id":"f6d86365-fb5c-46eb-a7e7-2add28d41275","year":2011},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.562394Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:fc4fd08001f82f395de572de33f635df458a41f2c539663abf0ea36930f1f009","observation_id":"76812073-1ea2-44ba-a179-029d13f8e0b8","resolution":{"observed_at":"2026-08-06T20:50:01.139276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:00.848750Z","title":"Automated detection of marine glacier calving fronts using the 2-d wavelet transform modulus maxima seg- mentation method,","venue":null,"work_id":"c680a449-08f8-4948-8550-0ab59ebcff9d","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.648266Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:16d704a6d0b727d5d116a365ce637a181a5dceb3af432403d48a580ffbd6bde6","observation_id":"af906a7b-17a0-40f8-b0e2-2ad863d3e351","resolution":{"observed_at":"2026-08-06T20:50:00.900272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:50.732580Z","title":"Automated extraction of antarctic glacier and ice shelf fronts from sentinel-1 imagery using deep learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.732580Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:4ad43a7568957f9ce366d9e2849aa8c6ab50f983f6cbd20b4c08ae9ce65c3689","observation_id":"9b5c45b2-eff3-45fe-a4dd-570a6a312647","resolution":{"observed_at":"2026-08-06T20:49:50.732580Z","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":"2026-08-06T20:50:00.595775Z","title":"Calving front machine (calfin): glacial termini dataset and automated deep learning extraction method for greenland, 1972–2019,","venue":null,"work_id":"8a39f373-b1ac-41d5-82c2-e398c217a4c5","year":1972},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.832417Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:165b1dcc1588d99e5b7b2bb9b9f43a245138b095cd811c8b8c7d4f4b7dcf868f","observation_id":"df2a7468-a29e-43fc-939c-5ed76c6a3a49","resolution":{"observed_at":"2026-08-06T20:50:00.686137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:00.336573Z","title":"Pixel-wise distance regression for glacier calving front detection and segmentation,","venue":null,"work_id":"054041da-6027-44bc-a470-6b8a5023fd2b","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.917547Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:527d1c5c168c874fd75624b4b09323ae9bf12783e99fe90ebacfab1b355b923c","observation_id":"4702f719-a608-4af2-993c-ee7036471047","resolution":{"observed_at":"2026-08-06T20:50:00.443777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:00.161988Z","title":"On mathews correlation coefficient and improved distance map loss for automatic glacier calving front segmentation in sar imagery,","venue":null,"work_id":"3de623ca-d01f-4760-8821-198bc34ad3d2","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:50.989509Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:6325f63e690215d2da948c07627875d72f833d196c70fdcf433f5a6117128984","observation_id":"5bf65c55-91fb-433b-8a02-d6808932d67f","resolution":{"observed_at":"2026-08-06T20:50:00.277601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:50:00.046475Z","title":"Conditional random fields for im- proving deep learning-based glacier calving front delin- eations,","venue":null,"work_id":"272b8e14-6b71-4747-8b33-6d125e3fd240","year":2023},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.076959Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:451195468a51411b97367ae5424e9166b3ca9c1b4656f55b93a75edfd8e853ef","observation_id":"6f9c6fee-ced2-410f-af46-fdb97867754c","resolution":{"observed_at":"2026-08-06T20:50:00.088359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:59.779190Z","title":"Bayesian u-net for segmenting glaciers in sar imagery,","venue":null,"work_id":"bd15b4bf-e6f2-43cc-a77a-5f68d6cf2e4e","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.146889Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:9bd717d0b8ea7404d3b0ac388a48916a809ba399d1f22dd803e5ced55d1ff36f","observation_id":"cebf2e64-4d9a-478a-b91b-a584b0ed4713","resolution":{"observed_at":"2026-08-06T20:49:59.947317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:59.630816Z","title":"Hed-unet: Combined segmentation and edge de- tection for monitoring the antarctic coastline,","venue":null,"work_id":"438d2ad5-cd24-4795-8e74-42d4cb4e17cd","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.207866Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:837e799b86fcb13d5b155cf615c21fc962e80a49ebe545b16706688d0885e7e7","observation_id":"3d9d1524-f65e-4790-a1dc-3407033c70a6","resolution":{"observed_at":"2026-08-06T20:49:59.727203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:59.369028Z","title":"Out-of-the-box 12 calving-front detection method using deep learning,","venue":null,"work_id":"e6defad8-abf7-48f5-81d3-b327f8b9ac54","year":2023},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.295902Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:92362c0563098f8b7d72462d608e68c0ce7d1e461bc23720bc685dd851aa715b","observation_id":"7e653f3e-bce8-41da-ab0b-ffe7cfed0999","resolution":{"observed_at":"2026-08-06T20:49:59.464825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:59.159681Z","title":"Glacier calving front seg- mentation using attention u-net,","venue":null,"work_id":"500f31d9-5e75-4d32-8864-72687b323099","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.414777Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:6735bc0078607b9af35b84829e97a9c1df1d580212bb0eac84f4a4c289a85ba5","observation_id":"9d291d14-106b-4313-82b2-078bca8a2341","resolution":{"observed_at":"2026-08-06T20:49:59.285232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:58.880759Z","title":"Image classification of marine- terminating outlet glaciers in greenland using deep learning methods,","venue":null,"work_id":"a28db559-7326-48e7-998e-ef343f229e32","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.519985Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:cd2026e0418b32e9e2d5381d7c71f0a56574622607bfc098aa225f332d8f4b50","observation_id":"1d126ba2-14eb-43b4-b025-3101e763cec8","resolution":{"observed_at":"2026-08-06T20:49:58.998259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:51.608528Z","title":"Detection of glacier calving margins with convolutional neural networks: A case study,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.608528Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:7ed97ad2131bebbdfb075bc7ada4372d6614e6bf96238f075d7985d0198247a5","observation_id":"695aa48e-aa91-4518-bd01-1676b9f3eabf","resolution":{"observed_at":"2026-08-06T20:49:51.608528Z","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":"2026-08-06T20:49:51.686750Z","title":"How to get the most out of u-net for glacier calving front segmentation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.686750Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:db069812c8da99f1932d7fc47f819332d4aeda0d8c9be9da0054ea72080a4c3d","observation_id":"35b612e9-75c7-4b34-b779-11134c007851","resolution":{"observed_at":"2026-08-06T20:49:51.686750Z","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":"2026-08-06T20:49:51.787444Z","title":"Amd-hooknet for glacier front segmentation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.787444Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:c17504199cf78e836b9a73bc8f54bd5698be995ed7650b3024c68783954e1ac3","observation_id":"552ff39b-9d9c-4a1e-8134-2427d5ac3c4f","resolution":{"observed_at":"2026-08-06T20:49:51.787444Z","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":"2026-08-06T20:49:58.581691Z","title":"Automatically delin- eating the calving front of jakobshavn isbræ from mul- titemporal terrasar-x images: a deep learning approach,","venue":null,"work_id":"7d176a5a-a060-4a9d-abed-7f6bd177d4a1","year":2019},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.847432Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:9d8773242b72f7a045d716f6f64cd0f3a2ef57104e7c8566bc4fca7e5ee8b2f0","observation_id":"8d843401-ba8d-4029-9ee3-4b0b611047e3","resolution":{"observed_at":"2026-08-06T20:49:58.714125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:58.390191Z","title":"An au- tomated, generalized, deep-learning-based method for delineating the calving fronts of greenland glaciers from multi-sensor remote sensing imagery,","venue":null,"work_id":"fe72b95c-036c-4a03-99fa-607b61845841","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.923696Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:5474910047092fbbaeb4f273e61baa64fd074ad573cb55aef26cc1aa8e6dffda","observation_id":"ad7a01e6-f6c8-4e79-99ff-5d30bebb7c6a","resolution":{"observed_at":"2026-08-06T20:49:58.502831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:58.109744Z","title":"Autoterm: an automated pipeline for glacier terminus extraction using machine learning and a “big data","venue":null,"work_id":"f6711610-888f-4b54-b920-760f16cbde0b","year":2023},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:51.991003Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:0d7f095573387eef3d3d541ce4029a79466e67332ffe67e238f33be9350ca189","observation_id":"0df5e56d-6039-4478-9bf9-f77bf0ab0b96","resolution":{"observed_at":"2026-08-06T20:49:58.269642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:57.906798Z","title":"U-net: Convo- lutional networks for biomedical image segmentation,","venue":null,"work_id":"2ee155d8-04df-41b2-b9f0-d953aa617e86","year":2015},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.095867Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:47f5d067b724617f0299c3fcf1dcc1454cdf52f5779d8e6b6cf36139d8419cb6","observation_id":"e23c7d50-d471-406b-8cab-aba17faedf94","resolution":{"observed_at":"2026-08-06T20:49:58.022527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:57.771106Z","title":"Encoder-decoder with atrous separable con- volution for semantic image segmentation,","venue":null,"work_id":"e102ab25-b2c7-4903-aa2b-cf38340b7e97","year":2018},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.149000Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:a2c8c9d6eba996a56b27319946da04568f58076956d7b71323e461f6b34c6fad","observation_id":"34fee452-2706-4c02-be88-3fc847d5aefc","resolution":{"observed_at":"2026-08-06T20:49:57.843943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:57.542367Z","title":"Gla-stdeeplab: Sar enhancing glacier and ice shelf front detection using swin-transdeeplab with global–local attention,","venue":null,"work_id":"b07422a6-d760-4dd8-a5ee-f4d3490454b6","year":2023},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.254123Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:cef77b8444d66420ba23aa26b2a945b02379bbd51a6b67546757e4fde2ce35f5","observation_id":"018deb07-38df-4a6a-80da-0298943f1139","resolution":{"observed_at":"2026-08-06T20:49:57.663540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:57.289372Z","title":"Self-supervised learning in remote sensing: A review,","venue":null,"work_id":"e2d7bb79-6d9e-4eff-9072-835a65292a42","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.360345Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:c240cc4fb04b992698f8e31af3e590bca9403f5cb3821073f3679dc8e3572377","observation_id":"e859ffa8-a801-4ed1-9ff3-9f7fd1596c17","resolution":{"observed_at":"2026-08-06T20:49:57.384658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:57.055721Z","title":"Self-supervised encoders are better transfer learners in remote sensing applications,","venue":null,"work_id":"32ce9884-472a-497b-b137-d94a985c9001","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.443337Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:b56eb89c3cf15101733736d45c31fa0545b7276e11aa83760edaa8772099999a","observation_id":"f4500751-ec02-4f40-b38e-77444209618d","resolution":{"observed_at":"2026-08-06T20:49:57.183549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:56.772561Z","title":"Cmid: A unified self-supervised learning framework for remote sensing image understanding,","venue":null,"work_id":"c5d3a384-81ee-4b17-93d1-e038a572b369","year":2023},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.536608Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:80fd200a7113c14bcebc4023b7cae746a021dbc67957cf6012d2bfd0b4c53a72","observation_id":"1a4603c9-985a-461c-928f-59e18a699477","resolution":{"observed_at":"2026-08-06T20:49:56.945368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:56.549412Z","title":"Very high resolution canopy height maps from rgb imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar,","venue":null,"work_id":"2d145300-47f8-4843-be00-176d487f2715","year":2024},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.636318Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:7d2c9265cea6b39be3b8bd90cf350cbcc124de3da531efd3e5678a8c7eb1fc86","observation_id":"50b73c3c-40a5-4bf4-a883-f69321ed03d0","resolution":{"observed_at":"2026-08-06T20:49:56.622983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:56.529323Z","title":"Ex- tending global-local view alignment for self-supervised learning with remote sensing imagery,","venue":null,"work_id":"024b4f24-5c08-4533-a40b-f125b43d65ef","year":2024},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.709210Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:2f52342ec7d3557d4704f02f577591501343a9005a8f5bd1d4e260703628a8ae","observation_id":"c02fca8b-1684-45db-a983-1f25462b3c27","resolution":{"observed_at":"2026-08-06T20:49:56.544180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:56.402012Z","title":"Self-supervised sar-optical data fusion of sentinel-1/-2 images,","venue":null,"work_id":"708f4b49-29dc-47c9-9f90-a954d9476a8c","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.781207Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:3569b53a3fcbb62a6608cb705400948d910b56c957eded598f7178c0ae3794b8","observation_id":"824c4382-b1b8-4ff7-bd80-5134bb50eea4","resolution":{"observed_at":"2026-08-06T20:49:56.465165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:56.257434Z","title":"Self-supervised mate- rial and texture representation learning for remote sensing tasks,","venue":null,"work_id":"7a69965b-39c1-4ebb-940b-a3bd21d7ae29","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.833149Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:0fd5595cbf6f57dd2030080320791352b22fbdd301492d82ac0355354cc2831c","observation_id":"e354d6fd-569e-43a1-a45f-260569ef2c24","resolution":{"observed_at":"2026-08-06T20:49:56.331603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:56.144170Z","title":"Masked autoencoders are scalable vision learn- ers,","venue":null,"work_id":"4a002be4-c65a-477a-ade5-e11e3767df47","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:52.933211Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:014905da2987981f1d493e0dde8bda3ccc946c97063a13b638adca95f516c5e6","observation_id":"9e1325f9-dd0f-4403-b42d-b79993948c18","resolution":{"observed_at":"2026-08-06T20:49:56.218914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:56.044499Z","title":"Simmim: A simple framework for masked image modeling,","venue":null,"work_id":"5819d1ff-c99f-4817-9a08-13437fff023f","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.004761Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:a396492906adffa957246b88f6d8005c7559f482ada9db0aa09281b955fa3d9d","observation_id":"becd8b61-0c17-4ec7-83b7-6a7e2b39fedf","resolution":{"observed_at":"2026-08-06T20:49:56.086896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:55.951691Z","title":"One for all: Toward unified foundation models for earth vision,","venue":null,"work_id":"7bcf7168-b6b4-4592-b735-3a10bdbc5207","year":2024},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.093495Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:e0262c0fb4bcbe211e329b55f7014e542d140dec14467e03667c05db94fb112e","observation_id":"d8fadd52-003e-4e01-8826-ab2ef9432bb9","resolution":{"observed_at":"2026-08-06T20:49:55.998756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:55.830896Z","title":"Self-supervised multi-image super-resolution for push-frame satellite images,","venue":null,"work_id":"6fd0555d-474a-4761-a4df-fd5e0084994f","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.150959Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:7616d228f24f6955dcc4b9faa5573b85e38b872d14f5dedb65f8329b44481ec6","observation_id":"364b0b62-4ef0-4197-b583-e02dc69b9a52","resolution":{"observed_at":"2026-08-06T20:49:55.906968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:55.730725Z","title":"Hyperspectral image restoration with self-supervised learning: A two- 13 stage training approach,","venue":null,"work_id":"0212dab8-ea66-4e3e-9402-494f57f02abd","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.239894Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:29d2c694ef505b3ceb94aa7642985762c51c923b4b1e8d9ceaac5aa4f84e3347","observation_id":"c296603a-7427-4474-b782-944b7d6bf659","resolution":{"observed_at":"2026-08-06T20:49:55.789143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:55.617962Z","title":"Self-supervised vision transformers for land-cover seg- mentation and classification,","venue":null,"work_id":"b5e0f07f-285e-48b7-8b1b-0b56efc5aa9d","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.292076Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:e8e0414b25a54ef3045daf2a99c7697ddc1343af35763c4096d5eab81a79f6c8","observation_id":"644d378d-db5f-4ea6-99c8-c725743f71f6","resolution":{"observed_at":"2026-08-06T20:49:55.669377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:53.372826Z","title":"CaFFe (CAlving Fronts and where to Find thEm: a benchmark dataset and methodology for automatic glacier calving front extraction from sar imagery),","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.372826Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:14b636dd146c38a4d7beb303e6c5bc87f6c2b5e70f54000c04dc8bf2e2709f5d","observation_id":"d04e03de-082e-4df0-bd21-cfe0e653bd8d","resolution":{"observed_at":"2026-08-06T20:49:53.372826Z","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":"2026-08-06T20:49:55.493733Z","title":"Swin transformer v2: Scaling up capacity and resolution,","venue":null,"work_id":"0d50046b-e9a6-4c46-b963-e09fad62df72","year":2022},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.467747Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:4a92952c6d5c223be2b779da18ae541ee228359ddd4b2c7fa97d535fc6f81f9f","observation_id":"ef918870-f42f-4bd2-bf5d-9b390b4e2090","resolution":{"observed_at":"2026-08-06T20:49:55.536029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:55.360127Z","title":"Deep resid- ual learning for image recognition,","venue":null,"work_id":"abc7bd86-74cd-43e9-828e-82c914f71da4","year":2016},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.548317Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:aefd03681ceba35ae9809fa9d0cb96838bec6d12d15f553a4c963193812da612","observation_id":"76b6b26a-4a03-4e4d-8aef-da10ee60697d","resolution":{"observed_at":"2026-08-06T20:49:55.417458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:55.223809Z","title":"Taming trans- formers for high-resolution image synthesis,","venue":null,"work_id":"ec78d99e-d465-485a-8257-7a696a665760","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.624539Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:5a4c9f8da307f8ee60298b3d8fba5148d4b0e64a42f2c934f1ae589c0e6acd22","observation_id":"0ca36c3b-49c5-4139-a66c-db431dac7513","resolution":{"observed_at":"2026-08-06T20:49:55.272047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:55.051662Z","title":"What makes multi-modal learning better than single (provably),","venue":null,"work_id":"2fac61f9-b5e0-4a3c-aa29-2a91b8960087","year":2021},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.699390Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:9b032a6b00596ed87e7dc8e706f50252348f7b2c07d23f96f4a73c411c23e8ac","observation_id":"0cb1bf99-ba67-4f01-ae51-15d234d6bc86","resolution":{"observed_at":"2026-08-06T20:49:55.135369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:53.776716Z","title":"Ssl4eo-s12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets],","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.776716Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:7122c0b7bebf0a5ba04959625e1ec0155195dee45bf7a0ef360ded98aa5c1562","observation_id":"1bc28b79-caaa-49c9-b9d4-4a5202010394","resolution":{"observed_at":"2026-08-06T20:49:53.776716Z","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":"2026-08-06T20:49:54.881037Z","title":"Field, Discovering Statistics Using IBM SPSS Statis- tics, 5th ed","venue":null,"work_id":"6f285feb-ddf4-46f0-afac-a0313d3497d4","year":2018},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.880465Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:44bc0098089aac712451708cb603a22aedace9e32aa4e29d409f092653867df4","observation_id":"731c1c3a-396c-43cc-a558-6fb1c048ee4e","resolution":{"observed_at":"2026-08-06T20:49:54.963935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:54.754771Z","title":"Measuring and Modeling Mountain glaciers and ice caps in a Changing ClimAte","venue":null,"work_id":"7d20c350-0d2f-4df8-b83e-25fa24309a7c","year":2010},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:53.949364Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:dbc47cd6cc0b99f90eb07898632c0c64a06a82aa88b71061f6fbf9c9fab09e45","observation_id":"7e21c117-c29f-4a03-8767-322a8333abbb","resolution":{"observed_at":"2026-08-06T20:49:54.803898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:49:54.605613Z","title":"4D nanoscope","venue":null,"work_id":"2d43e25c-2df8-4dc1-9d93-c96f08e6c2e5","year":2023},"citing_paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T20:49:54.019898Z"},"links":{"citing_paper":"/paper/2507.01747"},"observation_digest":"sha256:543d5c4a24b7f905fe65f4a4f86d233d042ae020a3e95c089844b8725a63536c","observation_id":"3c80bce5-3996-48fd-9d11-276865280867","resolution":{"observed_at":"2026-08-06T20:49:54.646485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.01747","last_updated":"2025-07-02T14:24:23Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T20:41:25.393066Z","submitted_at":"2025-07-02T14:24:23Z","title":"SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":3,"verified_fuzzy":52},"total_outbound_references":64},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2507.01747."}