{"as_of":"2026-08-09T11:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7ad3c388af80962c79c9d72ca44196bb3554f0b7e29a91fbd05122f131e760b9","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T19:20:04.690220Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2604.05415/citation-record","integrity":"/paper/2604.05415/integrity","json":"/paper/2604.05415/citation-record.json","paper":"/paper/2604.05415"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bb921ede-fdcd-4b42-b276-2d8376c6ad8b","year":2017},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:67449b784566b689b4a2759e2f1c4ca23c9b627ca4510282155854a6ae5f9da6","observation_id":"9bdfaf57-ccaf-4e4c-8de8-e49a9b9f0c2e","resolution":{"observed_at":"2026-05-16T05:50:41.306265Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"af0a6747-ed68-4203-a0c9-f71d6d67f91d","year":2021},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:9dd9016b6b99549e8abfb8323f4193c6bc4a3e8aa6114c79e2e5b5392d103230","observation_id":"d7d63407-dbce-4e81-8b0d-11249ddbefc2","resolution":{"observed_at":"2026-05-16T05:50:41.311191Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7e64a38e-0056-4601-887e-f32d8498a547","year":2022},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:a4a9728db4dfad2a388442ce92235118606a8fcc238a643a3314f91f70d9351d","observation_id":"1a1cffaa-ef8e-476d-8239-846ec01df49f","resolution":{"observed_at":"2026-05-16T05:50:41.304049Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e3685a69-537d-4e3b-be74-f047102b9d4c","year":2023},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:536bb704b70f6519dd9e49a98b2f73e0d5c4e63b0214c46422eef862eaceec63","observation_id":"d29aef95-c03a-47a2-8e51-0aa8efd2606d","resolution":{"observed_at":"2026-05-16T05:50:41.301605Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2688.2022","doi":"10.1109/cvpr52688.2022","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A ConvNet for the 2020s","venue":null,"work_id":"0a23d1b7-bd56-43cc-8a80-7c43ce994e1e","year":2022},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:f3d8775324d98e8e2683850f777cbabefe3341527952bd626765f1e30fe096bb","observation_id":"84bcecb6-4ff9-4fa1-adad-10d593906e8a","resolution":{"observed_at":"2026-05-10T19:20:44.557036Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-12T17:19:41.038772+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T17:19:41.038772+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Schwing, and Alexander Kirillov","venue":null,"work_id":"de652406-4815-4c5f-84e4-a44c5e54397d","year":2021},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:a3f56b06854c2d885602296d244906ba962ea04ca3d870bdb9be42b273ea243d","observation_id":"d3b60d9d-87af-4309-93b2-f8293180e6e3","resolution":{"observed_at":"2026-05-16T05:50:41.318822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"2948f2f3-8e4c-41ea-9257-d472a1a665ff","year":2020},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:a7934fdd331347d53b91a8473e87c8cc905f60e3675f7ae791544bcd315080e4","observation_id":"c17fad63-e34e-4562-a6be-57e07fca90a4","resolution":{"observed_at":"2026-05-16T05:50:41.299260Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"aec1209c-d8d5-4766-803a-1df0c70f497b","year":2026},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:bd9d459eab72592459603cd4c7eea8c600b4613dbbd09ea4f59a1e6aafe3dd77","observation_id":"b0b2ad16-f115-42bf-aa11-2f935673f8cf","resolution":{"observed_at":"2026-05-16T05:50:41.321436Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7e89ef0a-a93b-432a-b27b-00ff778c276e","year":2023},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:1d0503c898d7ef3e20eb64cc8f01116d4dca25115258520df0cf2e8f8223bcf9","observation_id":"fe24bb46-d2ea-485c-9716-1140846997ee","resolution":{"observed_at":"2026-05-16T05:50:41.308893Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"866bfabe-ac90-4dca-8cbf-df3a16c89f09","year":2022},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:2d35f50ecb1161feb17f68a03bc44c099d6ba9041a0d1416d2dbbf5d79433385","observation_id":"041e7089-5172-4c13-9703-f556e30c6b8c","resolution":{"observed_at":"2026-05-16T05:50:41.313611Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"14e4b163-5b53-4f24-80ab-17c6054faad3","year":2022},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:9844242730b0c4247ff0882a8d12e7fddbc4862063d7e4bef752bb31ce4f350d","observation_id":"c7fcd138-40a7-41d5-9d6e-f659cf336da9","resolution":{"observed_at":"2026-05-16T05:50:41.323936Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a55bc2ce-578f-41e2-b92d-3ce4f047bbf2","year":2026},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:c2db769da006cc0ad336b12e3707bcc161266a60c01bdc7915a076503272115d","observation_id":"341b4b1d-0a20-477a-b578-7428573622b1","resolution":{"observed_at":"2026-05-16T05:50:41.316189Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c98cb8d7-40e1-47e3-b558-1199098e10aa","year":2023},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:5b6ba474dc04693e6f747b959aa98a85572bf6146dc2dfe391cfcae03b61783c","observation_id":"23195310-2cb3-4a52-a229-ea52cd097d99","resolution":{"observed_at":"2026-05-16T05:50:41.312779Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":"cab5e4ec-5cd0-4701-930d-b884bf36e18d","year":2015},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:c84d2feb26dfe05f06ddbc99cdc69c718068714cb34d3bb95cf4989399a8bea3","observation_id":"d56dddf0-1208-4dbf-8a4a-331dbebf255a","resolution":{"observed_at":"2026-05-16T05:50:41.288348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Berg, Wan-Yen Lo, Piotr Dollár, and Ross B","venue":null,"work_id":"3d9f8cf5-2360-43f0-ae44-af50e672938e","year":2023},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:1437b4a4e432005ea1de071636716bb3d4ca92570d29ae7c584b6cbcaf555f85","observation_id":"75387136-f30f-4ca3-a215-03b06896de1a","resolution":{"observed_at":"2026-05-16T05:50:41.298306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"02145175-c76f-4ece-99f1-e34f9d28710d","year":2026},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:0aeee89823481ed937d08f5f9db396d40668aa8ddd5fd534ac57fe7133b04f80","observation_id":"adacb95e-65c9-45e6-b762-f95402106b2d","resolution":{"observed_at":"2026-05-16T05:50:41.296117Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5c49d403-e8c0-41f9-84e1-0546147ab26d","year":2024},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:e4d86e50b33048373a278256cdff8f94a56a5bd385dda33dbef4d7cce19061e8","observation_id":"b4778fa0-c212-4e75-a1a1-73cd54dd8a05","resolution":{"observed_at":"2026-05-16T05:50:41.300218Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"36cf0ae3-100d-4898-944b-9c061ce8e1fc","year":null},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:73182353a1af30a6a611f56719009d039ff012616708893eb3a3720c743b54f9","observation_id":"535b4c9a-c1c0-477c-b69b-448d2b3d55fb","resolution":{"observed_at":"2026-05-16T05:50:41.292065Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"InThe Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11","venue":null,"work_id":"72adfcbc-4ef1-451b-acd5-575b2ba29371","year":2024},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:c4650dec7a97e52242ae0c9457526418965928cf9ee86367225d14481908b927","observation_id":"c7903ef3-1501-4dfb-8ae4-78e502a984eb","resolution":{"observed_at":"2026-05-16T05:50:41.314808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d2820085-f7c7-480c-9779-b292426756f7","year":2024},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:68f000b977356aa8c86d0e8483a1dacfa68e8391e3e4cae3696bcafafe0e6721","observation_id":"7bfdfc7c-8fa0-49b7-9537-b20441d765a3","resolution":{"observed_at":"2026-05-16T05:50:41.321107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.32280","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"86efcaf3-c205-4f09-ac76-1c53ca36d04e","year":2023},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:b728b67ba5a965136b430f767df0c39d40749a06b01eb82ba31b8c50eecfc56b","observation_id":"31aba74f-3de8-4eea-b7b0-591737d0bcbf","resolution":{"observed_at":"2026-05-10T23:05:51.500887Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"98f6af43-af5b-47bf-82f9-68942c1b7914","year":2022},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:4193e1e5d8b8b7358a8ab4f0a87059bf97678a6f7b6c9c36595530e806a2eecf","observation_id":"44279488-0c5e-4ad4-92f3-671097d470da","resolution":{"observed_at":"2026-05-16T05:50:41.289934Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f3c97471-acf8-4f76-ab56-a6cfdfc7ff72","year":2017},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:ed5b3911091ada3edce868f114dcdc1dc41b056d427d8db8c60ac42994a67d75","observation_id":"9fbad37e-9ba1-4862-948e-44c567b4a321","resolution":{"observed_at":"2026-05-16T05:50:41.284187Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"26ada263-7f31-4820-81b8-5924ff589e34","year":2024},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:9cab596c8c9a6118743bed06119a0bdd0815c3ca55d2e58b346d93446ff33f1c","observation_id":"1f1215a7-8da6-4daf-8652-cba220a9e2c2","resolution":{"observed_at":"2026-05-16T05:50:41.309281Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c41b215a-4ce4-4d12-95aa-5c27050960df","year":2025},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:0c4416051656973420d98459b852ff4b27bec703bc2caff84f68d84bd28d3033","observation_id":"2bb3ffa1-1df5-45c9-901f-21799bf83e33","resolution":{"observed_at":"2026-05-16T05:50:41.293937Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0473f7cd-13ed-4bc1-837e-0b8dd39abad8","year":2025},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:ad8a90ae2f14850481b0e1f9781c3812a40ac1ebf43ed253e9e1da8bf68eb7b8","observation_id":"4d977a34-2ef0-4faa-967f-1c98a2ad6bb0","resolution":{"observed_at":"2026-05-16T05:50:41.305322Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chapman, and Zi Huang","venue":null,"work_id":"706c925e-e061-45f1-a4d9-a135bbbbca2e","year":2025},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:cb362a853858e3f6e142a86480dbda063466e3de46699f8894ccc338dfa7587b","observation_id":"7b6371cb-af2e-432a-a4db-8cc22ea35760","resolution":{"observed_at":"2026-05-16T05:50:41.319287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12620","last_updated":"2023-12-29T03:40:59Z","snapshot_observed_at":"2026-07-06T15:19:39.223171Z","submitted_at":"2023-04-25T07:34:22Z","title":"Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation","version":7},"cited_work":{"arxiv_id":"2304.12620","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.12620","snapshot_observed_at":"2026-07-03T17:08:43.558543Z","title":"Medical sam adapter: Adapting seg- 10 ment anything model for medical image segmentation","venue":null,"work_id":"601f0992-ab83-4829-bda5-e124b32b7224","year":2023},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"cited_paper":"/paper/2304.12620","citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:8eb4661164c2190d1efa2f2083bfdc940e05f903dd18e9614942251e6b8999fd","observation_id":"80ee9de7-bae0-4719-9aa5-2984ff2ffbfa","resolution":{"observed_at":"2026-05-10T23:05:51.515675Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Álvarez, and Ping Luo","venue":null,"work_id":"d33f2dc3-39f5-4068-9907-1306d5bee32f","year":2021},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:f9705ad901ea3ac9a7b0c8c3a9e788729f25c2155cab04d8c08d15b5cd0b366d","observation_id":"5d98e93c-15ee-4a0c-bb01-db0881129378","resolution":{"observed_at":"2026-05-16T05:50:41.317112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tpami.2023","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T00:06:37.791997Z","title":"Diffusion models in vision: A survey,","venue":null,"work_id":"798c0494-a617-47a0-b2f3-195041c4b2eb","year":2023},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:1e849c6da15a5586e33c334374fcc4c4cd597b48cd8c89824063484e385f57f7","observation_id":"f647c1cd-4bb7-471f-98aa-cb375b994264","resolution":{"observed_at":"2026-05-10T19:20:44.554233Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-12T07:49:31.210617+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T07:49:31.210617+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"70150210-eaf7-4356-93d4-6dceba89b4df","year":2025},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:e0f866dd5baf8340bfe97cf38867af42428d750bf7f14844968035d553ff777a","observation_id":"af0ca683-b6cb-478d-bae1-2ca291aef10a","resolution":{"observed_at":"2026-05-16T05:50:41.307248Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"074cfdb8-99c0-4a0c-a24d-835ec0a1f105","year":null},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:0341a6b15bde244fa8135ec426fb6cfc68b8f8fc42435192a97a10790fea0ff2","observation_id":"4c1f0ebf-cbca-49ec-9503-d705617577cd","resolution":{"observed_at":"2026-05-16T05:50:41.279725Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.11968","last_updated":"2023-04-28T03:21:27Z","snapshot_observed_at":"2026-08-09T08:50:57.337514Z","submitted_at":"2023-04-24T10:04:06Z","title":"Track Anything: Segment Anything Meets Videos","version":2},"cited_work":{"arxiv_id":"2304.11968","doi":"10.48550/arxiv.2304.11968","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.11968","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2304.11968 (2023)","venue":"arXiv (Cornell University)","work_id":"4a7361a1-31cd-4688-90bf-f97bbf6f25c7","year":2023},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"cited_paper":"/paper/2304.11968","citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:5db493cf66276b7852d87068a597cfb652c8aff5a06d0c59cd195c03b2d9db3b","observation_id":"97ac1bc3-7562-46b6-a5b3-5d9aec6c6867","resolution":{"observed_at":"2026-05-10T23:05:51.506643Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"906fa804-0c83-4a9d-a8d7-4b1ec19aeae2","year":2023},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:397e4594d5ce8b513a33c34acb161551ed0782597337f07983baad8f8651080b","observation_id":"be87a21a-5eed-4cb9-aaf5-be952cf46108","resolution":{"observed_at":"2026-05-16T05:50:41.310897Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"fd0b00d4-1607-4872-b5ff-4997d51d28ad","year":2024},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:dff24a298941c408a9f341d3f1d453a9d4fd682ed56bf09167db1628b33045c6","observation_id":"f816b049-50b0-4af5-a111-1392c61db0a1","resolution":{"observed_at":"2026-05-16T05:50:41.286020Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"2678880d-47e5-4d05-bc00-643c32a06a78","year":2022},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:150858bfaee683944afb63a179c4606c436bfe6391f120485f14371be1b6ca57","observation_id":"1e8c712b-3d36-46f1-9c34-3dd89a117d05","resolution":{"observed_at":"2026-05-16T05:50:41.302105Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"af6958e7-c182-40a5-a98d-c13bf75b01a0","year":2024},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:642d95319dc9a8e6118bc830b7dbe76066ae7e4de1267839b03146e83a3e8f28","observation_id":"c41306d6-258b-4fcb-8f7f-863026e1080d","resolution":{"observed_at":"2026-05-16T05:50:41.287748Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a0d8cbe1-310b-432d-b4d5-ac49116feac7","year":2025},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:11da05c44e3e07d7de6a7c11e776d37623e2b81633b446011c2b8142212f2edc","observation_id":"0595a16e-6e8e-4aa5-a69c-67313b5c6de8","resolution":{"observed_at":"2026-05-16T05:50:41.303668Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07583","last_updated":"2023-04-15T15:41:10Z","snapshot_observed_at":"2026-07-06T15:16:06.215998Z","submitted_at":"2023-04-15T15:41:10Z","title":"Can SAM Segment Polyps?","version":1},"cited_work":{"arxiv_id":"2304.07583","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.07583","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"6a7b4f2c-4c5d-4037-92a3-d4931091f467","year":2023},"citing_paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T19:20:04.690220Z"},"links":{"cited_paper":"/paper/2304.07583","citing_paper":"/paper/2604.05415"},"observation_digest":"sha256:0781ccc7d02e07fe952ba6b10b9c3bcdb67fd2c1fd76fe1b1510711912a36146","observation_id":"9c1b4b65-f045-4ab8-a6fd-1d4107db3558","resolution":{"observed_at":"2026-05-10T23:05:51.523702Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.05415","last_updated":"2026-04-07T04:19:39Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T22:54:08.897942Z","submitted_at":"2026-04-07T04:19:39Z","title":"Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":27,"verified_exact":4,"verified_fuzzy":6},"total_outbound_references":39},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2604.05415."}