{"as_of":"2026-08-08T16:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bb9f4b3fe3c9b4f1b8fb504eac930e15dbe3f0dadaa7e1de66b8d4136eaf7d8f","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:05:29.215323Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.03571/citation-record","integrity":"/paper/2506.03571/integrity","json":"/paper/2506.03571/citation-record.json","paper":"/paper/2506.03571"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.104930Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.104930Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:c9e830826033f0f9b18bc6fc3975d393bfff14284077912c13d8766f6407b953","observation_id":"1e172106-b1d1-4677-9eb9-d3cc5d660e58","resolution":{"observed_at":"2026-08-07T11:05:29.104930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14458","last_updated":"2024-10-30T01:49:34Z","snapshot_observed_at":"2026-08-06T19:21:44.821168Z","submitted_at":"2024-05-23T11:44:29Z","title":"YOLOv10: Real-Time End-to-End Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14458","snapshot_observed_at":"2026-08-07T11:05:29.111026Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.111026Z"},"links":{"cited_paper":"/paper/2405.14458","citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:a741856635c787e96d07267209c78ed9a71c847eaefb02200e307e7d3b775471","observation_id":"4d561b0a-85c2-429f-bd01-32132ffc4c16","resolution":{"observed_at":"2026-08-07T11:05:29.111026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.10934","last_updated":"2020-04-23T02:10:02Z","snapshot_observed_at":"2026-07-06T09:14:32.318388Z","submitted_at":"2020-04-23T02:10:02Z","title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.10934","snapshot_observed_at":"2026-08-07T11:05:29.115866Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.115866Z"},"links":{"cited_paper":"/paper/2004.10934","citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:a04e2dfb41a8e2b11f5a73c629bd87ba3eb52e163f1783ad4eecc286b3c8143b","observation_id":"cf20652a-31e1-4f05-9905-ece7a9e89901","resolution":{"observed_at":"2026-08-07T11:05:29.115866Z","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":"2026-08-07T11:05:29.650106Z","title":"Gaussian yolov3: An accurate and fast object detector using localization uncertainty for autonomous driving","venue":null,"work_id":"413ccd87-02e5-48e8-b341-29d3740e0c81","year":2019},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.120707Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:5af02fe67b0869ea4cc7ab20cfa3673f6b0510f5c5f30cd64754275850a43ff7","observation_id":"573cc555-ff5e-43b6-b684-601b076cd836","resolution":{"observed_at":"2026-08-07T11:05:29.654501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.125569Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.125569Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:49f2d92af81af017c23422347ca0e75658b74720da519472685cfbef9b1841c0","observation_id":"a116d39e-280b-427b-b004-0f9be51856fe","resolution":{"observed_at":"2026-08-07T11:05:29.125569Z","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":"2026-08-07T11:05:29.622686Z","title":"K., Winn, J., and Zisserman, A","venue":null,"work_id":"07e78d6d-fb26-482f-80cc-078a8bb10ddc","year":2010},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.130030Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:47d445c73a1c8446c0119c3e0fe9f67535d60f43d6053ab9a48401f6ddca9481","observation_id":"d7b8026b-8b37-48ac-b162-a45dd297237a","resolution":{"observed_at":"2026-08-07T11:05:29.629293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.607634Z","title":"Fast r-cnn","venue":null,"work_id":"5429d3f5-28c9-4cf6-b770-ae883c3576be","year":2015},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.134361Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:626d94a0b3509baaf073f8b04959e03c70915d9f3c00940e5fe301297ade6373","observation_id":"06cacc12-defa-4923-bb49-5e3608583e14","resolution":{"observed_at":"2026-08-07T11:05:29.612639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.139746Z","title":"Rich feature hierarchies for accurate object detection and semantic segmentation","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.139746Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:2f01936d27c1a658bbf792a1a36243922c6877a7261f8503357d77fb258279e0","observation_id":"56bb233e-8dfc-46cc-82bd-4add46acf303","resolution":{"observed_at":"2026-08-07T11:05:29.139746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.144397Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.144397Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:61eff99bb4b2cef10878038f7c10afd20bc3340af3fd93685d1635d951282aa8","observation_id":"c109cb2f-38b4-4587-ad52-9582e350bf5d","resolution":{"observed_at":"2026-08-07T11:05:29.144397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.148656Z","title":"Mask r-cnn","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.148656Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:6f102a9d83c3e5535787a05b7a0f537999df7ba22a1553338e39673a0fde521d","observation_id":"5fe02ae1-375e-4ff0-85f7-39dbf39afbbb","resolution":{"observed_at":"2026-08-07T11:05:29.148656Z","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":"2026-08-07T11:05:29.563343Z","title":"Ultralytics yolov5, 2020","venue":null,"work_id":"83cbb767-0cd9-49d7-86dd-c0bf312f455b","year":2020},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.152745Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:a5767883e7a55832e3156d89f59ffd5959bb8a0f29422e307683002187de06b7","observation_id":"fc817345-737b-4b7c-a8ee-dc4d88f30467","resolution":{"observed_at":"2026-08-07T11:05:29.567859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.548979Z","title":"and Qiu, J","venue":null,"work_id":"d88b668b-5e9c-48ea-a8bd-02db76aa176b","year":2024},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.157401Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:2aae7c7ea23f3754a64e5d0aaaf525794670933704c533d793bdecf874063106","observation_id":"a9d2b675-bcf0-4883-a261-e35cfa6bba3f","resolution":{"observed_at":"2026-08-07T11:05:29.553130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.534360Z","title":"Ultralytics yolov8, 2023","venue":null,"work_id":"a6cd49dd-3aa9-4241-a231-cd9cc9f9ce7e","year":2023},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.161759Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:a9438932fd55215b4b447044a31d2757f34ec8fcbb8ff5e24ff8b67592ab768d","observation_id":"c9944010-4a7e-4967-8d38-8a12ab4de592","resolution":{"observed_at":"2026-08-07T11:05:29.538954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.165757Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.165757Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:8c8a9efde10fe35a51f86a33c04f9d2212fc5934ce1e7585255e0aea3fd1e281","observation_id":"f7c99c7b-6b21-42be-af9e-9fa12843d58d","resolution":{"observed_at":"2026-08-07T11:05:29.165757Z","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":"2026-08-07T11:05:29.509946Z","title":"and Deng, J","venue":null,"work_id":"04685842-5d38-43a2-b056-fb1d359b69dc","year":2018},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.170269Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:9a808ce31b22dc2955044cf59734241a8210b4bc406647b6c5c37041bdd690ce","observation_id":"691a4652-3d7b-4a3d-9f02-da753f4d395b","resolution":{"observed_at":"2026-08-07T11:05:29.514345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.494290Z","title":null,"venue":null,"work_id":"cc9ec97f-2f8e-4232-a3cf-293766f987a9","year":2021},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.174380Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:dffd24e0dfc2cc5be0f7b2fcf2a8b82b37e8957021e013a35d74d9215323159d","observation_id":"cccbbd50-1e0a-40ec-9c14-3d4143a4961d","resolution":{"observed_at":"2026-08-07T11:05:29.499526Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.178531Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.178531Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:fe1c0d27cd9d0c62f6e601e3a1c85fa01b8f4352f9f006fe89327d538d61c02d","observation_id":"591c6b0a-5a15-425c-84c5-42ac7e536a8a","resolution":{"observed_at":"2026-08-07T11:05:29.178531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.182817Z","title":"Focal loss for dense object detection","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.182817Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:eba921840a9d24b64eaf0a2f5811eddb1b49a40ce98d076eaa612b67213b6a56","observation_id":"8fe08388-328e-4f3a-8ff7-41858297a892","resolution":{"observed_at":"2026-08-07T11:05:29.182817Z","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":"2026-08-07T11:05:29.470294Z","title":"You only look once: Unified, real-time object detection","venue":null,"work_id":"9459895c-e1a9-43e8-9c10-be6296be9975","year":2016},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.186789Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:8283cce96babd0268174f1869c1a659b6f7d6e25333e73ed20e3e63289e809bd","observation_id":"203a74ff-70e5-4efc-8266-02998afc8e13","resolution":{"observed_at":"2026-08-07T11:05:29.474796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.02767","last_updated":"2018-04-08T22:27:57Z","snapshot_observed_at":"2026-08-06T11:09:16.409556Z","submitted_at":"2018-04-08T22:27:57Z","title":"YOLOv3: An Incremental Improvement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.02767","snapshot_observed_at":"2026-08-07T11:05:29.190977Z","title":"Yolov3: An incremental improvement","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.190977Z"},"links":{"cited_paper":"/paper/1804.02767","citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:6214e2048cee11c7b17564d9e019bdf7ef7a6cdeddda067e92d3be028b9a2a6e","observation_id":"1e177a0d-1046-4758-b3bc-ab4dfa21c2e1","resolution":{"observed_at":"2026-08-07T11:05:29.190977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.195420Z","title":"and Farhadi, A","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.195420Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:8f80c5ee5ae731928a31c21da5db5154d008f6caaae7c0c7fae34f9fb7a5b470","observation_id":"88c1e17f-7703-4936-858b-6988a460d055","resolution":{"observed_at":"2026-08-07T11:05:29.195420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.199698Z","title":"Faster r-cnn: Towards real-time object detection with region proposal networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.199698Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:5cc5fc2f734f123e8f940bd55478999fdc2a6fe0be62c93639e530b599b7d00d","observation_id":"4747bbbd-5135-485c-bc2f-fdf8b0f503a1","resolution":{"observed_at":"2026-08-07T11:05:29.199698Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.203610Z","title":"C., Hagenbuchner, M., and Monfardini, G","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.203610Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:dd57e20533e5a64259b0c464806d5b55b36590d32b2d20f15331a08a25457d36","observation_id":"18a8a246-afe1-4d41-b50d-51d0c85755c7","resolution":{"observed_at":"2026-08-07T11:05:29.203610Z","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":"2026-08-07T11:05:29.424886Z","title":"Improved yolov3 model with feature map cropping for multi-scale road object detection","venue":null,"work_id":"3c7e8e9b-cadd-4e1a-bd19-10606255f9b6","year":2023},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.207535Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:cbaba844eddb3203d682af3d3bc7cd97faaa6f0f13007fca091d9e27bc153e69","observation_id":"4a69bfa7-4bb3-4128-989e-acc339f837fa","resolution":{"observed_at":"2026-08-07T11:05:29.430083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:05:29.211473Z","title":"Fcos: Fully convolutional one-stage object detection","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.211473Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:b3e73bb74c881e46dc153389b06021d49b49537ad9ea78be6e4a4e04437f01a1","observation_id":"52b35c30-3ace-46fc-a32e-da94cf82cc25","resolution":{"observed_at":"2026-08-07T11:05:29.211473Z","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":"2026-08-07T11:05:29.409097Z","title":"and Liao, H.-Y","venue":null,"work_id":"f379e651-58b2-4091-8736-07060840b104","year":2024},"citing_paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T11:05:29.215323Z"},"links":{"citing_paper":"/paper/2506.03571"},"observation_digest":"sha256:2e808bd9afae3bb968dbef9995decda377a291d2793ce5ddb43f1be6c1b79afd","observation_id":"ed76b176-b316-4cd2-86d8-52841526ebbb","resolution":{"observed_at":"2026-08-07T11:05:29.414169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.03571","last_updated":"2025-06-04T04:34:48Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T10:57:29.703466Z","submitted_at":"2025-06-04T04:34:48Z","title":"DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":10},"total_outbound_references":26},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.03571."}