{"as_of":"2026-08-08T21:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cb1e4a7be3d5bed63956934e9b7ed31d3ad39036f5e4e6dbe8b9771ff243b460","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T02:05:15.167656Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"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/2607.14445/citation-record","integrity":"/paper/2607.14445/integrity","json":"/paper/2607.14445/citation-record.json","paper":"/paper/2607.14445"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2606.03748","last_updated":"2026-06-02T15:01:13Z","snapshot_observed_at":"2026-08-07T08:37:57.358483Z","submitted_at":"2026-06-02T15:01:13Z","title":"Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.03748","snapshot_observed_at":"2026-08-02T02:05:14.782803Z","title":"URL: https://arxiv.org/abs/2606.03748, doi:10.48550/arXiv.2606.03748, arXiv:2606.03748","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:14.782803Z"},"links":{"cited_paper":"/paper/2606.03748","citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:035776f0ac25eea58c402e497a35b3d76dede3b6948e5033422cffcb6250d74b","observation_id":"886b66a4-75ca-4d2b-b076-044d332cc0d9","resolution":{"observed_at":"2026-08-02T02:05:14.782803Z","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":"2026-08-02T02:05:15.103063Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:15.103063Z"},"links":{"citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:e08d7fd7deff09799c296703b4305a38cc1c432b3ef146f2f0d276c1995794a8","observation_id":"91e514a4-b0e5-4e2c-a538-bd78ac353b5a","resolution":{"observed_at":"2026-08-02T02:05:15.103063Z","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":"2026-08-02T02:05:15.167656Z","title":"CVPR 2001, Ieee","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":2001,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:15.167656Z"},"links":{"citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:4ce710e0dcbdf73ae26bf9c4b556cedd4d61cae0dc9bd51a48b07d3dece03c4e","observation_id":"15eb4410-1adb-4444-93fa-f19c035df59a","resolution":{"observed_at":"2026-08-02T02:05:15.167656Z","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":"2026-08-02T02:05:14.181570Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":2005,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:14.181570Z"},"links":{"citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:98304d987461a38d4cbdef04243e9aa63785205dca6f4c506f0b0d7661ce5750","observation_id":"b676f477-9da7-4daa-90bc-5be2404f3fd4","resolution":{"observed_at":"2026-08-02T02:05:14.181570Z","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":"2026-08-02T02:05:14.397578Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:14.397578Z"},"links":{"citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:eed4e4c8de1a807a7fb2728f3003c7ef7c59a5ef07568cbfdcc66966043ab7ea","observation_id":"a7284e54-734e-4cff-890c-c69dcafe699b","resolution":{"observed_at":"2026-08-02T02:05:14.397578Z","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":"2026-08-02T02:05:14.277864Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:14.277864Z"},"links":{"citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:3f4a152ff25d731cc83afc8ff0e6fa2144f47ce384b0c239e5aade28e9e4c0be","observation_id":"912feeb3-03be-4807-a2da-54ad8503c850","resolution":{"observed_at":"2026-08-02T02:05:14.277864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.09516","last_updated":"2019-11-25T01:59:05Z","snapshot_observed_at":"2026-08-03T18:06:48.731382Z","submitted_at":"2019-11-21T15:05:28Z","title":"Learning Spatial Fusion for Single-Shot Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.09516","snapshot_observed_at":"2026-08-02T02:05:14.953637Z","title":"arXiv preprint arXiv:1911.09516","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:14.953637Z"},"links":{"cited_paper":"/paper/1911.09516","citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:4de7451f0e455e40adc543ae143ea36ed7a2d8ee1f99d0ec335b9b304c1d1314","observation_id":"4c8b941f-9314-4ce5-872e-130c27392414","resolution":{"observed_at":"2026-08-02T02:05:14.953637Z","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":"2026-08-02T02:05:14.692096Z","title":"doi:10.5281/zenodo.3908559","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:14.692096Z"},"links":{"citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:f1b88a03551ac4379731451eeb3f80dddaea4309867f49e656012644eadc17f8","observation_id":"4e407c98-09a9-43f5-8a32-5f3bd3750755","resolution":{"observed_at":"2026-08-02T02:05:14.692096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.13596","last_updated":"2023-11-22T18:57:24Z","snapshot_observed_at":"2026-07-06T16:51:15.252642Z","submitted_at":"2023-11-22T18:57:24Z","title":"T-Rex: Counting by Visual Prompting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.13596","snapshot_observed_at":"2026-08-02T02:05:14.592747Z","title":"arXiv preprint arXiv:2311.13596","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:14.592747Z"},"links":{"cited_paper":"/paper/2311.13596","citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:df79ccf6bd08c47b633f080642171bda837d9c7da500480012a0f84ea68a7077","observation_id":"7f416fc8-ebaa-4351-b1c7-ff957d84416e","resolution":{"observed_at":"2026-08-02T02:05:14.592747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17725","last_updated":"2024-10-23T09:55:22Z","snapshot_observed_at":"2026-07-06T19:38:22.461739Z","submitted_at":"2024-10-23T09:55:22Z","title":"YOLOv11: An Overview of the Key Architectural Enhancements","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17725","snapshot_observed_at":"2026-08-02T02:05:14.881091Z","title":"arXiv preprint arXiv:2410.17725","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:14.881091Z"},"links":{"cited_paper":"/paper/2410.17725","citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:a7a446da70f428f181d7778e421445d411a49d4041c9951f56de5d03a69763a0","observation_id":"83374d31-b027-4dde-a5d5-e05f92d032ae","resolution":{"observed_at":"2026-08-02T02:05:14.881091Z","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":"2026-08-02T02:05:15.011655Z","title":"arXiv preprint arXiv:2503.14012","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:15.011655Z"},"links":{"citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:5d4d96f75455db69fc9742e370c8e4b614a4b5c47a5fbf05b77f27893fffa3e4","observation_id":"9d436ce7-c6c4-4b07-a33c-ec1d73895991","resolution":{"observed_at":"2026-08-02T02:05:15.011655Z","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":"2026-08-02T02:05:14.500782Z","title":"arXiv preprint arXiv:2603.11717","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-02T02:05:14.500782Z"},"links":{"citing_paper":"/paper/2607.14445"},"observation_digest":"sha256:8b6d31b566c8085446c9e87b0a1e6be1a8eb11d429160c3224b91daa6bdcd216","observation_id":"61c845b9-3aef-4deb-93b6-604c9ebff99e","resolution":{"observed_at":"2026-08-02T02:05:14.500782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.14445","last_updated":"2026-07-16T00:40:59Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T18:44:35.678646Z","submitted_at":"2026-07-16T00:40:59Z","title":"Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":12},"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 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.14445."}