{"as_of":"2026-08-09T07:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b4acddbe2b793c6e3eb51073a0bfc0a388f519d2ee2adf86826a04943050330","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":25,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T23:07:22.935886Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-29T07:53:13.319218Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2406.17323","last_updated":"2024-12-10T12:17:22Z","snapshot_observed_at":"2026-08-03T09:24:22.481074Z","submitted_at":"2024-06-25T07:14:15Z","title":"XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-24T00:29:09.172759Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2406.17323"},"observation_digest":"sha256:dd6fe958254155501d3ba99fa019b681e218ee66b0835d92132cef0e0d63906d","observation_id":"e0f31221-2757-4b92-b480-45f7e10a9416","resolution":{"observed_at":"2026-05-24T00:33:40.152168Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2411.18279","last_updated":"2025-05-06T15:08:00Z","snapshot_observed_at":"2026-07-06T19:57:55.925634Z","submitted_at":"2024-11-27T12:13:39Z","title":"Large Language Model-Brained GUI Agents: A Survey","version":12},"reference_index":212,"source":"pdf_text","source_observed_at":"2026-05-19T11:08:27.472508Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2411.18279"},"observation_digest":"sha256:da065b438fb5ab9181804599d3d24ec1f9c335dba1c264a932f43cedd0c2eec3","observation_id":"e6521c23-5552-460c-9901-7e9263ebeee8","resolution":{"observed_at":"2026-05-19T11:08:27.763270Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2412.07584","last_updated":"2026-04-28T15:45:36Z","snapshot_observed_at":"2026-08-02T06:54:38.590926Z","submitted_at":"2024-12-10T15:20:23Z","title":"Multimodal Contextualized Support for Enhancing Video Retrieval System","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-23T07:14:34.843867Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2412.07584"},"observation_digest":"sha256:d66b529797c34a396d62144ac44a5c478f16914a9348ac9debc2f650399076e5","observation_id":"4adaa176-ce60-462a-b188-b99e1ce4b375","resolution":{"observed_at":"2026-05-23T07:15:28.456241Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-08T16:17:22.097165Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06255","last_updated":"2025-02-10T08:42:46Z","snapshot_observed_at":"2026-08-08T16:12:07.667682Z","submitted_at":"2025-02-10T08:42:46Z","title":"Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-08T16:17:22.097165Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2502.06255"},"observation_digest":"sha256:d43e52f39b59e586b0ef98172b9a6082947aca7ae5cd8528397dfb06df30105c","observation_id":"0b0075f4-5301-4f30-8764-7e3908838999","resolution":{"observed_at":"2026-08-08T16:17:22.097165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-08T10:09:43.622997Z","title":"Real-time flying object detection with yolov8","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08189","last_updated":"2025-05-21T05:46:18Z","snapshot_observed_at":"2026-08-09T05:09:02.211543Z","submitted_at":"2025-02-12T07:59:41Z","title":"AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-08T10:09:43.622997Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2502.08189"},"observation_digest":"sha256:646db5bde801df40d552390a91ea417039d4f50cd3a3cd13d5df8943a2efb700","observation_id":"200ca902-8323-42a3-a804-d6279b9e6c54","resolution":{"observed_at":"2026-08-08T10:09:43.622997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-08T23:07:22.935886Z","title":"Real-Time Flying Object Detection with YOLOv8","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.15737","last_updated":"2025-02-06T17:22:01Z","snapshot_observed_at":"2026-08-08T23:00:03.303015Z","submitted_at":"2025-02-06T17:22:01Z","title":"A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T23:07:22.935886Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2502.15737"},"observation_digest":"sha256:e173f9559fcde402cdcbcdc7ed5b4a7521519c8d98e6998fb5e529799cb10962","observation_id":"78d0a5dd-a007-430a-9bdb-93f457bf7ae2","resolution":{"observed_at":"2026-08-08T23:07:22.935886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2503.22171","last_updated":"2026-04-17T04:53:40Z","snapshot_observed_at":"2026-08-06T10:42:36.270805Z","submitted_at":"2025-03-28T06:18:15Z","title":"An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-22T22:59:36.542774Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2503.22171"},"observation_digest":"sha256:d51c43315fce8fdcb2f283f622cee92074674c18f55dfa56ecab61a11dbb7dc4","observation_id":"5ef40894-a7b1-440a-8a16-bb0430074d27","resolution":{"observed_at":"2026-05-22T23:02:13.666260Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-07T05:44:09.466280Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07145","last_updated":"2025-06-08T13:48:59Z","snapshot_observed_at":"2026-08-07T05:38:46.375254Z","submitted_at":"2025-06-08T13:48:59Z","title":"Single-beam driven rotational manipulation for high-resolution 3D cellular morphology reconstruction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:44:09.466280Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2506.07145"},"observation_digest":"sha256:731ab078ba24dd04154560e12d7911e5aa531ff47fc7092a2f8e96f4520e52c7","observation_id":"9f32f2fb-bf94-4701-b5a8-121875ea6229","resolution":{"observed_at":"2026-08-07T05:44:09.466280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-07T05:40:13.475523Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07385","last_updated":"2025-06-09T03:09:48Z","snapshot_observed_at":"2026-08-08T04:06:54.112188Z","submitted_at":"2025-06-09T03:09:48Z","title":"GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T05:40:13.475523Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2506.07385"},"observation_digest":"sha256:0b973056842ad56d82c2848f1f77f2e61f200e33216429119d290a2f0b71fdeb","observation_id":"a36537c3-5943-4ebd-b931-1ee68ca5da78","resolution":{"observed_at":"2026-08-07T05:40:13.475523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2506.20522","last_updated":"2025-06-25T15:08:52Z","snapshot_observed_at":"2026-08-02T20:04:34.276777Z","submitted_at":"2025-06-25T15:08:52Z","title":"AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-22T01:16:44.376921Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2506.20522"},"observation_digest":"sha256:66af3aa710b017e55e00b3f9344d24eedb9e90e6167957dffe1413455c567f91","observation_id":"ac389202-cccb-4778-a83f-1163c7d33c51","resolution":{"observed_at":"2026-05-22T01:20:52.235243Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-06T20:39:23.835177Z","title":"Real-time flying object detection with yolov8","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.02217","last_updated":"2025-07-03T00:44:31Z","snapshot_observed_at":"2026-08-09T02:39:58.872780Z","submitted_at":"2025-07-03T00:44:31Z","title":"Understanding Trade offs When Conditioning Synthetic Data","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:23.835177Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2507.02217"},"observation_digest":"sha256:8f25a7cae0bdf61347654e3355b8e80ba51891595a5332fab72711c45a9fb457","observation_id":"243bbacb-383d-42bd-a619-e7a9dc5e63be","resolution":{"observed_at":"2026-08-06T20:39:23.835177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-06T19:47:28.600083Z","title":"Real-time flying object detection with yolov8.arXiv preprint arXiv:2305.09972, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04667","last_updated":"2025-07-08T14:46:46Z","snapshot_observed_at":"2026-08-08T17:03:18.891133Z","submitted_at":"2025-07-07T05:12:34Z","title":"What's Making That Sound Right Now? Video-centric Audio-Visual Localization","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:47:28.600083Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2507.04667"},"observation_digest":"sha256:72616a382422117bef75dd462fb115be7506a3cbae1a9d69f4d394df828535b9","observation_id":"1bed4dee-3972-4944-a7e4-65461141bebf","resolution":{"observed_at":"2026-08-06T19:47:28.600083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-06T16:39:37.217551Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12956","last_updated":"2025-07-17T09:50:43Z","snapshot_observed_at":"2026-08-07T23:26:25.424237Z","submitted_at":"2025-07-17T09:50:43Z","title":"FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformers","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T16:39:37.217551Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2507.12956"},"observation_digest":"sha256:806d8bad5d6c94c70c40bfac99b90001a2452268c433501860d2d56119f6a217","observation_id":"0abc495e-2095-4ac0-8bc6-19687cd7d1cc","resolution":{"observed_at":"2026-08-06T16:39:37.217551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-06T20:20:31.256161Z","title":"Real-time flying object detection with YOLOv8","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13359","last_updated":"2025-07-04T04:56:25Z","snapshot_observed_at":"2026-08-09T01:10:30.375754Z","submitted_at":"2025-07-04T04:56:25Z","title":"Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:20:31.256161Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2507.13359"},"observation_digest":"sha256:ced9ec59e892cdbec6e610095b488d05169077600334b9f670bc50f1513843b5","observation_id":"24d603b8-a645-4931-8abb-d3d4135f50c2","resolution":{"observed_at":"2026-08-06T20:20:31.256161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-06T13:12:06.289673Z","title":"Real-time flying object detection with yolov8.arXiv preprint arXiv:2305.09972, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20976","last_updated":"2025-07-28T16:38:06Z","snapshot_observed_at":"2026-08-08T10:12:59.181969Z","submitted_at":"2025-07-28T16:38:06Z","title":"Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T13:12:06.289673Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2507.20976"},"observation_digest":"sha256:b836623358f93f1e6125ce8ad127ca7a8d7b7555e0f2f015f5e98b6ca543b506","observation_id":"fce8af78-2943-4918-90c4-2e93ec202f85","resolution":{"observed_at":"2026-08-06T13:12:06.289673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-05T05:27:54.128484Z","title":"Real-Time Flying Object Detection with YOLOv8","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.05490","last_updated":"2025-09-05T20:39:43Z","snapshot_observed_at":"2026-08-09T06:41:07.817438Z","submitted_at":"2025-09-05T20:39:43Z","title":"An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T05:27:54.128484Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2509.05490"},"observation_digest":"sha256:94e2c05b3ebf9e0c94491dbe6290f4ae4dfb8336f60bb081c06f1424920be6d5","observation_id":"ab46fe66-5045-49db-b95d-4849affdb3a4","resolution":{"observed_at":"2026-08-05T05:27:54.128484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-04T07:26:17.278083Z","title":"Real-time flying object detection with yolov8,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.25936","last_updated":"2026-05-23T21:09:54Z","snapshot_observed_at":"2026-08-04T07:25:31.377543Z","submitted_at":"2025-10-29T20:15:37Z","title":"Reading Radio from Camera: Visually-Grounded, Lightweight, and Interpretable RSSI Prediction","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T07:26:17.278083Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2510.25936"},"observation_digest":"sha256:6d7d724a3d8ecd1a3e9f27ec7f31dd0e3065b7323d62b57735b8752a4713bfc4","observation_id":"8923ba2a-21f4-4627-ae21-a8c722d6e32b","resolution":{"observed_at":"2026-08-04T07:26:17.278083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2511.19367","last_updated":"2026-04-22T16:32:46Z","snapshot_observed_at":"2026-07-06T22:36:49.325569Z","submitted_at":"2025-11-24T18:01:47Z","title":"AnatomicalNets: A Multi-Structure Segmentation and Contour-Based Distance Estimation Pipeline for Clinically Grounded Lung Cancer T-Staging","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-17T05:43:25.681635Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2511.19367"},"observation_digest":"sha256:a3841f6221ed51ea539fc59bd2413c7b46d06a8d5a9e7e756e7098b4d7636e16","observation_id":"d11a0923-62c7-4f4e-9430-97867791eb14","resolution":{"observed_at":"2026-05-17T05:44:07.212836Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2602.13305","last_updated":"2026-05-01T15:32:50Z","snapshot_observed_at":"2026-07-06T22:45:49.118915Z","submitted_at":"2026-02-09T19:40:50Z","title":"WildfireVLM: AI-powered Analysis for Early Wildfire Detection and Risk Assessment Using Satellite Imagery","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-16T05:14:25.778239Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2602.13305"},"observation_digest":"sha256:01c0653c4532669e40e63877399cbfd4fbf87b038efc7073ef32d84b221b2a59","observation_id":"196d0041-ef38-4a70-9b9c-b76345215e04","resolution":{"observed_at":"2026-05-16T05:17:22.470344Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2604.16480","last_updated":"2026-04-12T10:10:19Z","snapshot_observed_at":"2026-08-02T23:38:27.407614Z","submitted_at":"2026-04-12T10:10:19Z","title":"Positioning radiata pine branches requiring pruning by drone stereo vision","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T15:49:22.284066Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2604.16480"},"observation_digest":"sha256:a34a7f15688e1ebb234fe6bf4c3b44b59a509df4cb721929aea57fd924a86a28","observation_id":"ab3e4ff7-fd06-446b-912b-9769e153b789","resolution":{"observed_at":"2026-05-11T09:50:58.828849Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2605.08213","last_updated":"2026-05-06T10:01:25Z","snapshot_observed_at":"2026-08-02T10:21:38.305641Z","submitted_at":"2026-05-06T10:01:25Z","title":"Low-Cost Stereo Vision for Robust 3D Positioning of Thin Radiata Pine Branches in Autonomous Drone Pruning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-12T00:52:29.958435Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2605.08213"},"observation_digest":"sha256:ad79085233f63c3660875900cb27ca126fa686667992cf37788dc5fd7e539538","observation_id":"d50c2e70-cb09-407a-8c5e-3be307711cf0","resolution":{"observed_at":"2026-05-12T08:36:27.080413Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2605.09093","last_updated":"2026-05-09T17:58:58Z","snapshot_observed_at":"2026-07-06T23:21:16.454273Z","submitted_at":"2026-05-09T17:58:58Z","title":"HyDRA Scorpion: A Cost-effective and Modular ROV for Real-Time Underwater Inspection, Intervention, and Object Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-12T02:48:11.126363Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2605.09093"},"observation_digest":"sha256:a5aa7a5128400d3c38ba6f861cdfb8b5575c245997c5f260a220ffb6489f4cb8","observation_id":"f8420a56-2473-43bd-a09d-ba11f27bb5e0","resolution":{"observed_at":"2026-05-12T02:51:17.934621Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2605.30544","last_updated":"2026-05-28T20:21:52Z","snapshot_observed_at":"2026-07-06T23:39:48.531480Z","submitted_at":"2026-05-28T20:21:52Z","title":"On-Device Generative AI for GDPR-Compliant Visual Monitoring: Natural Language Alerts from Local Object Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-29T07:51:13.367200Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2605.30544"},"observation_digest":"sha256:4ca49a92dd5f3f37bfc2b7015aee645ed9165ad2c9eeaeab0350c65d5570c63d","observation_id":"0852845a-41ea-4811-98fa-91514ec3645e","resolution":{"observed_at":"2026-06-29T07:53:13.320870Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":"2305.09972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-06-29T07:53:13.319218Z","title":"& Daoudi, A.Real-Time Flying Ob- ject Detection with YOLOv8 2023","venue":null,"work_id":"244e8fcb-5966-4ce3-a3ba-2224b33f1a8a","year":2023},"citing_paper":{"arxiv_id":"2606.00673","last_updated":"2026-05-30T11:03:58Z","snapshot_observed_at":"2026-08-06T23:09:43.745772Z","submitted_at":"2026-05-30T11:03:58Z","title":"T-CLIP: Enabling Thermal Perception for Contrastive Language-Image Pretraining","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-06-28T18:53:10.978631Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2606.00673"},"observation_digest":"sha256:8bd59ecce2893313dfe132098632b3d30ee19030dd18f5304ab88f4a07fd81b3","observation_id":"3ca96aef-c4c4-4f94-9578-f6968f56ec7d","resolution":{"observed_at":"2026-06-28T19:52:35.086764Z","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":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09972","snapshot_observed_at":"2026-08-04T18:33:58.151909Z","title":"arXiv preprint arXiv:2305.09972 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.01906","last_updated":"2026-08-03T08:39:59Z","snapshot_observed_at":"2026-08-06T23:33:49.347908Z","submitted_at":"2026-08-03T08:39:59Z","title":"Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assessment from UAV Imagery","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T18:33:58.151909Z"},"links":{"cited_paper":"/paper/2305.09972","citing_paper":"/paper/2608.01906"},"observation_digest":"sha256:edef8e8075bc897b4dab570ac1c5e55930e5cb625ca6099b506167017fb62487","observation_id":"99a39684-4e80-458f-9afe-9ba5bfd274dd","resolution":{"observed_at":"2026-08-04T18:33:58.151909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.09972/citation-record","integrity":"/paper/2305.09972/integrity","json":"/paper/2305.09972/citation-record.json","paper":"/paper/2305.09972"},"outbound":[],"paper":{"arxiv_id":"2305.09972","last_updated":"2024-05-22T05:05:38Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T12:46:40.822750Z","submitted_at":"2023-05-17T06:11:10Z","title":"Real-Time Flying Object Detection with YOLOv8"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2305.09972."}