{"as_of":"2026-08-08T10:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c0e4d8f907a8c301c3bcb676b10bc162988acbcd1ce027941975b578fe17a54c","coverage":[{"denominator":7,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:19:40.725357Z","state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2506.02705/citation-record","integrity":"/paper/2506.02705/integrity","json":"/paper/2506.02705/citation-record.json","paper":"/paper/2506.02705"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:19:41.234734Z","title":"- [1] #1 = = ^ ^ ^ .\\!\\!^ d .\\!\\!^ h .\\!\\!^ m .\\!\\!^ s .\\!\\!^ @mss","venue":null,"work_id":"c2cafc60-d11f-48ba-92f5-09a3a5f3af11","year":2017},"citing_paper":{"arxiv_id":"2506.02705","last_updated":"2025-06-03T09:57:28Z","snapshot_observed_at":"2026-08-07T14:47:59.114757Z","submitted_at":"2025-06-03T09:57:28Z","title":"Residual 1D CNN for Low SFR Surface Density Regression: A Design Note","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T11:19:39.841867Z"},"links":{"citing_paper":"/paper/2506.02705"},"observation_digest":"sha256:62054604499b4b7ffe78c08acc127f0f79896f810a3ec4df2338a160bd4b21ea","observation_id":"0e8ff414-176b-451d-bc90-c4e7d4804074","resolution":{"observed_at":"2026-08-07T11:19:41.348477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3847/1538-4357/ad3b95","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:19:41.013403Z","title":"P., Iyer, K","venue":null,"work_id":"b1c31d84-c39d-4c1f-adc6-8e856aa7d920","year":2024},"citing_paper":{"arxiv_id":"2506.02705","last_updated":"2025-06-03T09:57:28Z","snapshot_observed_at":"2026-08-07T14:47:59.114757Z","submitted_at":"2025-06-03T09:57:28Z","title":"Residual 1D CNN for Low SFR Surface Density Regression: A Design Note","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T11:19:40.068820Z"},"links":{"citing_paper":"/paper/2506.02705"},"observation_digest":"sha256:feea4e5389ccec06b262b93ef1067e2399a356b126eb252dad1198e562f84f45","observation_id":"1be188b7-1391-4f06-a524-0d115c5269ea","resolution":{"observed_at":"2026-08-07T11:19:41.110066Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:19:40.161315Z","title":"I., Forestier, G., Weber, J., Idoumghar, L., & Muller, P.-A., 2019, Data Mining and Knowledge Discovery, 33, 917, doi:10.1007/s10618-019-00619-1","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02705","last_updated":"2025-06-03T09:57:28Z","snapshot_observed_at":"2026-08-07T14:47:59.114757Z","submitted_at":"2025-06-03T09:57:28Z","title":"Residual 1D CNN for Low SFR Surface Density Regression: A Design Note","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T11:19:40.161315Z"},"links":{"citing_paper":"/paper/2506.02705"},"observation_digest":"sha256:dce92d9d7d8bf8a9cd3caf4d7023fc6554f6af96cb6d871dce2a12f9f0e6d59a","observation_id":"34848631-73a4-4360-9daa-8e89e5122f7a","resolution":{"observed_at":"2026-08-07T11:19:40.161315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-08-07T11:19:40.338321Z","title":"2016, Deep Residual Learning for Image Recognition, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770–778, doi:10.48550/arXiv.1512.03385","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.02705","last_updated":"2025-06-03T09:57:28Z","snapshot_observed_at":"2026-08-07T14:47:59.114757Z","submitted_at":"2025-06-03T09:57:28Z","title":"Residual 1D CNN for Low SFR Surface Density Regression: A Design Note","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T11:19:40.338321Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2506.02705"},"observation_digest":"sha256:3b9f83df1897f1f8671d32d7ccb4deedc434c102a4caed0dace55bcc7159d6be","observation_id":"369a31af-232d-480a-b822-b6b5dd6dfc04","resolution":{"observed_at":"2026-08-07T11:19:40.338321Z","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":"2026-08-07T11:19:40.481339Z","title":"1998, Proceedings of the IEEE, 86(11), 2278–2324 doi:10.1109/5.726791","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2506.02705","last_updated":"2025-06-03T09:57:28Z","snapshot_observed_at":"2026-08-07T14:47:59.114757Z","submitted_at":"2025-06-03T09:57:28Z","title":"Residual 1D CNN for Low SFR Surface Density Regression: A Design Note","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T11:19:40.481339Z"},"links":{"citing_paper":"/paper/2506.02705"},"observation_digest":"sha256:da03614eefe22fbbdcbd82d9b01d470af2c4853601bcb73ce30b05cfb8f88fb8","observation_id":"9f340419-88e9-4840-b106-7abbd5b4b458","resolution":{"observed_at":"2026-08-07T11:19:40.481339Z","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":"2026-08-07T11:19:40.598448Z","title":"A., Weiner, B","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.02705","last_updated":"2025-06-03T09:57:28Z","snapshot_observed_at":"2026-08-07T14:47:59.114757Z","submitted_at":"2025-06-03T09:57:28Z","title":"Residual 1D CNN for Low SFR Surface Density Regression: A Design Note","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T11:19:40.598448Z"},"links":{"citing_paper":"/paper/2506.02705"},"observation_digest":"sha256:bfd752cafb62c72bbc70f74aa93f9d6c8de635557a701ba03b44efa5537eb0a6","observation_id":"b6c1563d-8f75-41ff-a985-3447a6c051ed","resolution":{"observed_at":"2026-08-07T11:19:40.598448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.09554","last_updated":"2021-05-13T17:58:27Z","snapshot_observed_at":"2026-08-05T06:09:05.677146Z","submitted_at":"2021-02-18T18:56:03Z","title":"Delving into Deep Imbalanced Regression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.09554","snapshot_observed_at":"2026-08-07T11:19:40.725357Z","title":"2021, in Proceedings of the 38th International Conference on Machine Learning, Vol","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02705","last_updated":"2025-06-03T09:57:28Z","snapshot_observed_at":"2026-08-07T14:47:59.114757Z","submitted_at":"2025-06-03T09:57:28Z","title":"Residual 1D CNN for Low SFR Surface Density Regression: A Design Note","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T11:19:40.725357Z"},"links":{"cited_paper":"/paper/2102.09554","citing_paper":"/paper/2506.02705"},"observation_digest":"sha256:cafabce2e2b179d5aac9a50953783a7e32f8f580d61338dbc9ac80b69893e2e4","observation_id":"1bc0c951-c419-4eb6-9582-dc7ce5ce9295","resolution":{"observed_at":"2026-08-07T11:19:40.725357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.02705","last_updated":"2025-06-03T09:57:28Z","latest_version":1,"primary_category":"astro-ph.IM","snapshot_observed_at":"2026-08-07T14:47:59.114757Z","submitted_at":"2025-06-03T09:57:28Z","title":"Residual 1D CNN for Low SFR Surface Density Regression: A Design Note"},"reference_resolution":{"displayed":7,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":1},"total_outbound_references":7},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2506.02705."}