{"as_of":"2026-08-07T23:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a0c489cf9ab8692a26e6080bdf5982f7de1a27d3555f4fef331a6dadcc7467bc","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:26:56.459235Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"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/2505.21544/citation-record","integrity":"/paper/2505.21544/integrity","json":"/paper/2505.21544/citation-record.json","paper":"/paper/2505.21544"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:26:59.150227Z","title":"Food and Agriculture Organization of the United Nations (2022)","venue":null,"work_id":"5fc39006-53ba-480c-8de1-876bb07786d5","year":2022},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:55.110818Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:38b7f1568b2f0d4d9e1062930adfe7b09c828bb4e8c999617e2744f7f7fbf63a","observation_id":"07435876-7ed1-4d1b-9e0f-790f1e96ac8a","resolution":{"observed_at":"2026-08-07T14:26:59.299952Z","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":"2026-08-07T14:26:58.702630Z","title":"efsa (2023)","venue":null,"work_id":"460a7e4a-294b-4505-b6e1-5984e094c17b","year":2023},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:55.173101Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:266a10b8415bf04b8a94cf3b4a1376b280c8d6834f55f4529ac27a996f29179f","observation_id":"5e80252a-9831-4eed-a265-30c820e8afad","resolution":{"observed_at":"2026-08-07T14:26:58.913434Z","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":"2026-08-07T14:26:58.419559Z","title":"EIP (2022)","venue":null,"work_id":"5b8780bd-e7b6-48c2-a7db-c881d7573aed","year":2022},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:55.264176Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:d6ab40fed6e5dde78ebf5b0ddf5fa05cea44295ed91cb1ac56b87d11a6ac65a0","observation_id":"f0af3822-15d4-4062-af20-32570682c480","resolution":{"observed_at":"2026-08-07T14:26:58.544270Z","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":"2026-08-07T14:26:58.203337Z","title":"Ultralytics (2024)","venue":null,"work_id":"18988627-0776-48b5-bbf4-1ae381132311","year":2024},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:55.370557Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:92c167516f8381f84101393061da02d654a1f0a0d6b4be9866bc159a65d955a1","observation_id":"702517b9-fc27-46c7-83f4-b05d44f0e499","resolution":{"observed_at":"2026-08-07T14:26:58.297452Z","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":"2026-08-07T14:26:55.445671Z","title":"Heliyon 10 (2024) https://doi.org/10.1016/j","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:55.445671Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:d4ae7f2aa57e265fbea55875e1581ae7ae03ba6d930c8da6f78b0fe9f6b45756","observation_id":"a3a66e0e-1527-4ef4-9eca-24abe86c5632","resolution":{"observed_at":"2026-08-07T14:26:55.445671Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.48084/etasr.7064","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:26:56.718554Z","title":"Engineering, Technology and Applied Science Research 14, 13584–13591 (2024) https://doi.org/10.48084/etasr.7064","venue":null,"work_id":"824f5d97-d567-4a3e-b67a-aa7ce4f465d4","year":2024},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:55.520746Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:d882bc548e58ae8f6decd56dc3ac42bf090bce81aa5621be6f1b5fe513d52973","observation_id":"9283e81e-d570-4698-8fdb-ed5581abd86c","resolution":{"observed_at":"2026-08-07T14:26:56.755372Z","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":"2024.15148","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:26:57.408190Z","title":"Frontiers in Plant Science 15 (2025) https: //doi.org/10.3389/fpls.2024.1514832","venue":null,"work_id":"f294e770-4b30-4918-8c28-a0623e6e6260","year":2025},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:55.653120Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:1c2777d003c87e0db6a566ddd19eac1304b9d35ffaf5265198e8f794621b15c0","observation_id":"c8a035e8-bfb6-495d-b68b-400d8df761af","resolution":{"observed_at":"2026-08-07T14:26:57.470878Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"10.1186/s13007-024-01275-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:26:56.569619Z","title":"Plant Methods 20 (2024) https://doi.org/10.1186/s13007-024-01275-3","venue":null,"work_id":"8fea77ba-0c17-41bc-95bf-12094a1d571e","year":2024},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:55.730648Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:f84d711562cc49dacb3a547b5f7a71ef6990ea12aa8cb7daee3b97cecf6b8b97","observation_id":"bf605900-77da-4981-a823-bd011fecc30f","resolution":{"observed_at":"2026-08-07T14:26:56.648112Z","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":"2026-08-07T14:26:57.932633Z","title":"github (2025)","venue":null,"work_id":"f961a79c-2cd7-49a0-9d61-02b9d6b6da9b","year":2025},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:55.819642Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:c07fb9e2f210e86f8303518233e93f4f9eec9f64fb86185fd3707791ddbbcc8b","observation_id":"5d8499fa-3a5b-4c5f-99d1-0f58c44dc341","resolution":{"observed_at":"2026-08-07T14:26:58.083791Z","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":"2504.02280","last_updated":"2025-04-03T05:06:06Z","snapshot_observed_at":"2026-08-07T16:12:35.156643Z","submitted_at":"2025-04-03T05:06:06Z","title":"LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection","version":1},"cited_work":{"arxiv_id":"2504.02280","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.02280","snapshot_observed_at":"2026-08-07T14:26:57.193988Z","title":"LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection","venue":"cs.NE","work_id":"b07bff55-c024-46d0-9176-1e6c7cb900f6","year":2025},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:55.906813Z"},"links":{"cited_paper":"/paper/2504.02280","citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:2401ffdba0af5ebe76691af6e845cc0fbac0d8c04185b48e2dc04f7266c801a8","observation_id":"43071fc9-76af-48b2-85e9-1773cf225439","resolution":{"observed_at":"2026-08-07T14:26:57.232439Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2504.20419","last_updated":"2025-04-29T04:31:58Z","snapshot_observed_at":"2026-08-07T15:58:22.205305Z","submitted_at":"2025-04-29T04:31:58Z","title":"Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.20419","snapshot_observed_at":"2026-08-07T14:26:56.016458Z","title":"https://arxiv.org/abs/2504.20419","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:56.016458Z"},"links":{"cited_paper":"/paper/2504.20419","citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:47749b4474b226f778eef41f74563aa3da2502e6904255a14f9c06a3ca15cc6d","observation_id":"e1456400-47fb-44d5-ab35-0fc0084530de","resolution":{"observed_at":"2026-08-07T14:26:56.016458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.05149","last_updated":"2023-10-08T12:50:57Z","snapshot_observed_at":"2026-08-03T19:47:13.852055Z","submitted_at":"2023-10-08T12:50:57Z","title":"Retrieval-Generation Synergy Augmented Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.05149","snapshot_observed_at":"2026-08-07T14:26:56.091652Z","title":"https://arxiv.org/abs/2310.05149 13","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:56.091652Z"},"links":{"cited_paper":"/paper/2310.05149","citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:e9244edaf2a4af17101292606b1396120eb7021ae2ced2a373cebb4ed10e7729","observation_id":"61749285-4b3b-4c1b-bb14-18e7b0e4dfe4","resolution":{"observed_at":"2026-08-07T14:26:56.091652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17050","last_updated":"2023-09-29T08:23:19Z","snapshot_observed_at":"2026-07-06T16:25:21.571679Z","submitted_at":"2023-09-29T08:23:19Z","title":"Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models","version":1},"cited_work":{"arxiv_id":"2309.17050","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.17050","snapshot_observed_at":"2026-08-07T14:26:56.980904Z","title":"Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models","venue":"cs.CL","work_id":"3670bea8-5231-4e7c-a89f-7cf20f41dba2","year":2023},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:56.191414Z"},"links":{"cited_paper":"/paper/2309.17050","citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:e30cf2ab1fc9e3ffcd6ec098eb4eb358f57b046ef0b8b2ff747b99e62dc4717c","observation_id":"0bb6bbc3-b4bb-4c1c-aadd-29dfd4a7304b","resolution":{"observed_at":"2026-08-07T14:26:57.039952Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2311.05903","last_updated":"2024-03-19T10:32:16Z","snapshot_observed_at":"2026-08-04T02:16:29.910322Z","submitted_at":"2023-11-10T07:13:06Z","title":"Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.05903","snapshot_observed_at":"2026-08-07T14:26:56.270406Z","title":"https://arxiv.org/abs/2311.05903","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:56.270406Z"},"links":{"cited_paper":"/paper/2311.05903","citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:6b72f5494dcbfcfac2dc3c8b3971fca68304234bd605196f4f8c29204cae0199","observation_id":"15bf8b52-6845-4c31-bf1e-9c47398de117","resolution":{"observed_at":"2026-08-07T14:26:56.270406Z","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":"2026-08-07T14:26:56.381899Z","title":"Computers and Electronics in Agriculture 169, 105162 (2020) https://doi.org/10.1016/j.compag.2019.105162","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:56.381899Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:b604e1ec64f421091e48d75e5d676a418a4f4815f69e07a89c938029bbecd7eb","observation_id":"51c34063-4ba8-4a6c-90ab-2e0d5e2ed031","resolution":{"observed_at":"2026-08-07T14:26:56.381899Z","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":"2026-08-07T14:26:57.528214Z","title":"Applied Sciences 15(9) (2025) 14","venue":null,"work_id":"0a2502aa-4de2-4291-b296-c5ab43adbade","year":2025},"citing_paper":{"arxiv_id":"2505.21544","last_updated":"2025-05-24T18:51:34Z","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:26:56.459235Z"},"links":{"citing_paper":"/paper/2505.21544"},"observation_digest":"sha256:227f663253cc283e4d5cdf4482f8d4947005e7b3f8b5db2ac16c29ca1df35a53","observation_id":"dc675bcd-3784-40f5-aa61-a7bdd96ab216","resolution":{"observed_at":"2026-08-07T14:26:57.699525Z","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":"2505.21544","last_updated":"2025-05-24T18:51:34Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T14:22:42.846832Z","submitted_at":"2025-05-24T18:51:34Z","title":"Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":1,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":4,"verified_exact":2,"verified_fuzzy":6},"total_outbound_references":16},"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 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2505.21544."}