{"as_of":"2026-08-10T07:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0c3516f786d63ea54c7571f84ffdce806f449a27798f79ab9c050d22b214d533","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T03:22:55.438074Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T04:29:30.899239Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T04:15:00.817681Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"cited_work":{"arxiv_id":"2607.06600","doi":null,"metadata_source":"pith","pith_arxiv_id":"2607.06600","snapshot_observed_at":"2026-08-06T04:15:00.817681Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","venue":"cs.CV","work_id":"645d43d8-0971-4fb2-b647-8503a2d46e39","year":2026},"citing_paper":{"arxiv_id":"2608.04031","last_updated":"2026-08-02T09:13:04Z","snapshot_observed_at":"2026-08-09T14:23:33.634661Z","submitted_at":"2026-08-02T09:13:04Z","title":"Hardware-Enabled Fuzzy Inference: Architectures, Platforms, and Emerging Trends","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T04:15:00.216304Z"},"links":{"cited_paper":"/paper/2607.06600","citing_paper":"/paper/2608.04031"},"observation_digest":"sha256:454f1e14d7ff801a50ed41ac7ee3ed6953c4b0c11e2bdf635869021afe8f08a7","observation_id":"798083e7-5df2-4675-af3a-c005bf3f1f2b","resolution":{"observed_at":"2026-08-06T04:15:00.891532Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.06600","snapshot_observed_at":"2026-08-10T04:29:30.899239Z","title":"MiLSD: A micro line-segment detector for resource-constrained devices,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.06439","last_updated":"2026-08-06T09:27:48Z","snapshot_observed_at":"2026-08-10T07:09:49.515760Z","submitted_at":"2026-08-06T09:27:48Z","title":"A Low-Latency ASIC Architecture for Real-Time Line Segment Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T04:29:30.899239Z"},"links":{"cited_paper":"/paper/2607.06600","citing_paper":"/paper/2608.06439"},"observation_digest":"sha256:848398596597290a759390c9540e0ca763bdc142ec9a367bfb8ba73455171fad","observation_id":"64012c9a-e2e1-4657-aff4-c8103d4659b1","resolution":{"observed_at":"2026-08-10T04:29:30.899239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2607.06600/citation-record","integrity":"/paper/2607.06600/integrity","json":"/paper/2607.06600/citation-record.json","paper":"/paper/2607.06600"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:27:48.447741Z","title":"LSD: A fast line segment detector with a false detection control,","venue":null,"work_id":"c1d6caa7-4a70-4c00-b89e-616ec137ee8a","year":2010},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:b9b4212e639629d17adf7ebb195b31066ea8f89ed66d3418b1a845d684163fe2","observation_id":"8fdd3e2d-6ecb-4f79-9103-86cb0103e4a4","resolution":{"observed_at":"2026-07-11T03:27:48.469599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.425440Z","title":"EDLines: A real-time line segment detector with a false detection control,","venue":null,"work_id":"eed45806-ccc2-4cdc-b814-5dc3226c7216","year":2011},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:ef26364892d92a417aa6e1ed64fe8ce771d6cf8dddda90db156a2ad116602add","observation_id":"e29b9c41-93e7-4409-807a-5bf981385bfc","resolution":{"observed_at":"2026-07-11T03:27:48.445039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.03246","last_updated":"2021-05-04T21:36:28Z","snapshot_observed_at":"2026-08-06T06:47:09.240987Z","submitted_at":"2019-05-08T17:59:41Z","title":"End-to-End Wireframe Parsing","version":3},"cited_work":{"arxiv_id":"1905.03246","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.03246","snapshot_observed_at":"2026-07-11T03:27:46.112738Z","title":"End-to-End Wireframe Parsing","venue":"cs.CV","work_id":"a7d92b20-eec5-4342-b46e-69322c4bb5f8","year":2019},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/1905.03246","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:aede50ad44360cbb294c8b7eb96e58f21876642eea2d381444aa6be51ea2fd5d","observation_id":"b79f1cdc-6a7e-4759-ab1a-488bdbde5ca0","resolution":{"observed_at":"2026-07-11T03:27:46.130273Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.01663","last_updated":"2020-03-03T17:43:57Z","snapshot_observed_at":"2026-08-06T06:47:10.567444Z","submitted_at":"2020-03-03T17:43:57Z","title":"Holistically-Attracted Wireframe Parsing","version":1},"cited_work":{"arxiv_id":"2003.01663","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.01663","snapshot_observed_at":"2026-07-11T03:27:45.765588Z","title":"Holistically-Attracted Wireframe Parsing","venue":"cs.CV","work_id":"bcb6a1c3-afbc-4aa6-a790-be4b28e96934","year":2020},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2003.01663","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:b336789a9a3aa95996bcbac93091a6d6c79dd2fba06f5feebaa5b92619a5ab6f","observation_id":"fb7e1cf4-fd9d-4ce1-bdae-23e7f5d22784","resolution":{"observed_at":"2026-07-11T03:27:45.786919Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.11207","last_updated":"2022-12-29T15:25:46Z","snapshot_observed_at":"2026-08-06T19:58:27.071161Z","submitted_at":"2021-04-22T17:41:12Z","title":"Fully Convolutional Line Parsing","version":3},"cited_work":{"arxiv_id":"2104.11207","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.11207","snapshot_observed_at":"2026-07-11T03:27:45.690126Z","title":"Fully Convolutional Line Parsing","venue":"cs.CV","work_id":"21b8754d-61c4-4326-8016-9aa4a98face7","year":2021},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2104.11207","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:582ba631b2d8af2ebc58c515c43bd7567aaf23d7c441a705768c14bd837b8c4f","observation_id":"1d0e9324-1f19-4f48-9c4c-9a5cbd52be38","resolution":{"observed_at":"2026-07-11T03:27:45.711029Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.00186","last_updated":"2022-04-26T04:43:45Z","snapshot_observed_at":"2026-08-01T09:53:56.455931Z","submitted_at":"2021-06-01T02:28:08Z","title":"Towards Light-weight and Real-time Line Segment Detection","version":3},"cited_work":{"arxiv_id":"2106.00186","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.00186","snapshot_observed_at":"2026-07-11T03:27:45.842746Z","title":"Towards Light-weight and Real-time Line Segment Detection","venue":"cs.CV","work_id":"2bd8061a-a961-4b14-bc4d-d905c50d3739","year":2021},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2106.00186","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:f42230ae91688c1466f5299c7c6be7cb077c88b230a4ca7bc25c5640848c12e5","observation_id":"6566513d-a714-411a-b6c1-99eb269af8f6","resolution":{"observed_at":"2026-07-11T03:27:45.861945Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.03144","last_updated":"2021-12-20T20:04:24Z","snapshot_observed_at":"2026-08-07T14:53:02.372627Z","submitted_at":"2021-08-06T14:33:57Z","title":"ELSED: Enhanced Line SEgment Drawing","version":2},"cited_work":{"arxiv_id":"2108.03144","doi":null,"metadata_source":"pith","pith_arxiv_id":"2108.03144","snapshot_observed_at":"2026-07-11T03:27:46.090473Z","title":"ELSED: Enhanced Line SEgment Drawing","venue":"cs.CV","work_id":"fd6061b9-0c91-4767-81eb-7ddc519782c9","year":2021},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2108.03144","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:d31205cf3170edfb699d5da055fc744b9f342740302baf08518bf95ed1b8a349","observation_id":"e478e3b5-9e60-4f41-854a-105fd209dfcd","resolution":{"observed_at":"2026-07-11T03:27:46.108508Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.249638Z","title":"Learning to parse wireframes in images of man-made environments,","venue":null,"work_id":"9e01f036-c0aa-4519-aaae-bf8cc5e60866","year":2018},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:8eac2eab11fdf8e7d0106879a62b23fe2d5b921d63c5b2fc31d22b83e50bfcfc","observation_id":"136402e4-b6ce-4d0a-8878-7124d80cb656","resolution":{"observed_at":"2026-07-11T03:27:48.272836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.02122","last_updated":"2019-03-05T23:36:21Z","snapshot_observed_at":"2026-07-06T07:19:22.480730Z","submitted_at":"2018-12-05T17:24:02Z","title":"Learning Attraction Field Representation for Robust Line Segment Detection","version":2},"cited_work":{"arxiv_id":"1812.02122","doi":null,"metadata_source":"pith","pith_arxiv_id":"1812.02122","snapshot_observed_at":"2026-07-11T03:27:45.918328Z","title":"Learning Attraction Field Representation for Robust Line Segment Detection","venue":"cs.CV","work_id":"9021bb1d-ddb4-4e9a-9c13-34036b98b586","year":2018},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/1812.02122","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:c60549df33bdc867c584aa38b11ec9f8af00502eadc2de44aa355bf75391bc48","observation_id":"eb5aae7f-805d-43c8-af06-742ad4aea089","resolution":{"observed_at":"2026-07-11T03:27:45.940463Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.03174","last_updated":"2020-11-06T03:30:17Z","snapshot_observed_at":"2026-08-03T07:38:31.421504Z","submitted_at":"2020-11-06T03:30:17Z","title":"ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras","version":1},"cited_work":{"arxiv_id":"2011.03174","doi":null,"metadata_source":"pith","pith_arxiv_id":"2011.03174","snapshot_observed_at":"2026-07-11T03:27:45.945618Z","title":"ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras","venue":"cs.CV","work_id":"b6705c15-fc3e-4234-8341-0d80a11f2410","year":2020},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2011.03174","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:0729992d4c334cf1ebd5748bb783dbf7e30dc71559609ae15be4e4ec2b6f5602","observation_id":"ac6f2e46-b775-4800-bf30-6baa4e826c7e","resolution":{"observed_at":"2026-07-11T03:27:45.973454Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.01909","last_updated":"2021-04-30T17:34:55Z","snapshot_observed_at":"2026-08-02T16:33:11.662654Z","submitted_at":"2021-01-06T08:00:18Z","title":"Line Segment Detection Using Transformers without Edges","version":2},"cited_work":{"arxiv_id":"2101.01909","doi":null,"metadata_source":"pith","pith_arxiv_id":"2101.01909","snapshot_observed_at":"2026-07-11T03:27:45.793065Z","title":"Line Segment Detection Using Transformers without Edges","venue":"cs.CV","work_id":"c4e1df4c-8925-46a2-ac19-94301d78e8ba","year":2021},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2101.01909","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:de92e90eaf7a23ea88cca2a493f98ec87041dd6388482c8cda4918d052f0e8aa","observation_id":"0e0e63ef-b131-4607-abbe-598d0f269afd","resolution":{"observed_at":"2026-07-11T03:27:45.814065Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.224704Z","title":"STM32F746xx arm cortex-m7 microcontroller datasheet,","venue":null,"work_id":"ffdf5c74-0100-459e-9bfb-d3383ca75dbb","year":null},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:b85a07dfef5573fb00d64e9f4823feaf86122fe98d98c87e5fbbfef33197ab37","observation_id":"34ece50d-5003-4066-b2b5-2add93265640","resolution":{"observed_at":"2026-07-11T03:27:48.246127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.05505","last_updated":"2020-09-11T16:08:12Z","snapshot_observed_at":"2026-08-03T19:45:19.557572Z","submitted_at":"2020-09-11T16:08:12Z","title":"TP-LSD: Tri-Points Based Line Segment Detector","version":1},"cited_work":{"arxiv_id":"2009.05505","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.05505","snapshot_observed_at":"2026-07-11T03:27:45.982098Z","title":"TP-LSD: Tri-Points Based Line Segment Detector","venue":"cs.CV","work_id":"ca6ea4d9-bec5-40b5-a221-acdd13df6564","year":2020},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2009.05505","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:3f184671e9fc36bb191aa00dc14db8cdb8527274da0e6b7bf57498d51fd79ee5","observation_id":"c56b6079-502e-4f5f-8842-b9855a61d31a","resolution":{"observed_at":"2026-07-11T03:27:46.006706Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.15352","last_updated":"2024-04-03T03:12:53Z","snapshot_observed_at":"2026-08-03T12:00:48.169997Z","submitted_at":"2021-10-28T17:58:45Z","title":"MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning","version":2},"cited_work":{"arxiv_id":"2110.15352","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.15352","snapshot_observed_at":"2026-07-11T03:27:45.819308Z","title":"MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning","venue":"cs.CV","work_id":"a845cd97-506e-4e32-9997-35f73791d0fc","year":2021},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2110.15352","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:29552087928a44cbca403c78454a7f18b9867999bbbf76bc717284f3d506c554","observation_id":"ff1a83a7-30e5-4604-837f-c0184a1f897e","resolution":{"observed_at":"2026-07-11T03:27:45.837702Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11267","last_updated":"2021-04-12T19:59:59Z","snapshot_observed_at":"2026-08-09T09:44:51.666136Z","submitted_at":"2020-10-21T19:39:39Z","title":"MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers","version":6},"cited_work":{"arxiv_id":"2010.11267","doi":null,"metadata_source":"pith","pith_arxiv_id":"2010.11267","snapshot_observed_at":"2026-07-11T03:27:46.011801Z","title":"MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers","venue":"cs.LG","work_id":"ebaac3fc-3858-430c-9f3e-5fd410c2138e","year":2020},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2010.11267","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:9741e6e5e5e9893812907f50a4f86c57581689f6e9bb658019cb064fbe5956f6","observation_id":"a2131664-4d9e-448a-922d-1d8d2b96d673","resolution":{"observed_at":"2026-07-11T03:27:46.033494Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10319","last_updated":"2020-11-19T17:29:28Z","snapshot_observed_at":"2026-07-06T09:40:19.270377Z","submitted_at":"2020-07-20T17:59:01Z","title":"MCUNet: Tiny Deep Learning on IoT Devices","version":2},"cited_work":{"arxiv_id":"2007.10319","doi":"10.48550/arxiv.2007.10319","metadata_source":"pith","pith_arxiv_id":"2007.10319","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MCUNet: Tiny Deep Learning on IoT Devices , publisher =","venue":"cs.CV","work_id":"a5183d30-5bd0-4b8f-aa82-fb177b7481de","year":2020},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2007.10319","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:36b96e88ce38046075536f27d5b10d44674fac5db13bce70f7a1fdc0c66b8911","observation_id":"446ed4f7-0392-4cef-a0c9-a09de5b1e3bf","resolution":{"observed_at":"2026-07-11T03:27:46.060189Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1712.05877","last_updated":"2017-12-15T23:56:52Z","snapshot_observed_at":"2026-07-06T06:14:38.280461Z","submitted_at":"2017-12-15T23:56:52Z","title":"Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference","version":1},"cited_work":{"arxiv_id":"1712.05877","doi":null,"metadata_source":"pith","pith_arxiv_id":"1712.05877","snapshot_observed_at":"2026-07-11T03:27:45.716016Z","title":"Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference","venue":"cs.LG","work_id":"4986fc56-7872-437a-9da8-a1a6991ac109","year":2017},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/1712.05877","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:54e6dff5c53f56c1a81f62553d3ba8cb2d848e4bcabf9da947fb60f9e867b158","observation_id":"6d97b42b-a132-4cdc-a420-4e97f49a1199","resolution":{"observed_at":"2026-07-11T03:27:45.735310Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1308.3432","last_updated":"2013-08-15T15:19:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-08-15T15:19:34Z","title":"Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation","version":1},"cited_work":{"arxiv_id":"1308.3432","doi":"10.48550/arxiv.1308.3432","metadata_source":"pith","pith_arxiv_id":"1308.3432","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation","venue":"cs.LG","work_id":"1fe8c7c8-aff7-4b94-9096-e549d7e60789","year":2013},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/1308.3432","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:4a12c53f9051e9c77f3c4b57cf7056cdb6bfec71c0e0f7a35bc73590a6175517","observation_id":"6095b17c-b178-47a8-baaf-a3de1cd8533e","resolution":{"observed_at":"2026-07-11T03:27:45.887335Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-05-19T16:22:27.235199+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-19T16:22:27.235199+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.13082","last_updated":"2019-05-30T14:50:42Z","snapshot_observed_at":"2026-07-31T01:44:51.166106Z","submitted_at":"2019-05-30T14:50:42Z","title":"Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers","version":1},"cited_work":{"arxiv_id":"1905.13082","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.13082","snapshot_observed_at":"2026-07-11T03:27:46.177495Z","title":"Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers","venue":"cs.LG","work_id":"12f5d60e-34c0-439c-b0df-da53d3ff6d9e","year":2019},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/1905.13082","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:f50b76e7e6891208ec5f02b166738360b0cc08b26b2ffdf71679d06c85b447b1","observation_id":"dcab7a87-f9c6-4e6d-ae6b-d4eaf93e89e1","resolution":{"observed_at":"2026-07-11T03:27:46.196203Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.352807Z","title":"Quantization and deployment of deep neural networks on microcontrollers,","venue":null,"work_id":"0929c023-e26b-479e-ba3e-ae83811e6e49","year":2021},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:c567ee00ff368c0d249a66d97378d86a6e8998c87e20d748667589209a1843ca","observation_id":"bad7e3ba-69ce-476b-8a79-4077ae84396f","resolution":{"observed_at":"2026-07-11T03:27:48.375097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12971","last_updated":"2023-09-06T03:06:11Z","snapshot_observed_at":"2026-08-03T20:56:58.042007Z","submitted_at":"2022-10-24T06:39:32Z","title":"Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning","version":2},"cited_work":{"arxiv_id":"2210.12971","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.12971","snapshot_observed_at":"2026-07-11T03:27:46.065194Z","title":"Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning","venue":"cs.CV","work_id":"2d8bb24b-e1f4-4b01-857d-40251d1b2834","year":2022},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2210.12971","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:ac50dcd06b0e1ca8decac57adcb86b509be6b8e42b65ee2defc79c3d1fd3102d","observation_id":"f740bf35-61d4-429a-8510-25f0b4872a81","resolution":{"observed_at":"2026-07-11T03:27:46.085969Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.07766","last_updated":"2023-03-28T13:59:47Z","snapshot_observed_at":"2026-08-03T05:25:46.476270Z","submitted_at":"2022-12-15T12:36:49Z","title":"DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients","version":3},"cited_work":{"arxiv_id":"2212.07766","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.07766","snapshot_observed_at":"2026-07-11T03:27:46.156483Z","title":"Oswald, and Marc Pollefeys","venue":"cs.CV","work_id":"390ba482-664b-426c-a1e8-545506c72281","year":2022},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2212.07766","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:132d2202f1f3f6f166febf8ea9166130890a860ea13f5619be808128e6ef8442","observation_id":"243bcd54-062c-4bc9-aee4-bcc2467e413e","resolution":{"observed_at":"2026-07-11T03:27:46.173169Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.04642","last_updated":"2022-09-10T11:46:21Z","snapshot_observed_at":"2026-08-05T02:35:45.042478Z","submitted_at":"2022-09-10T11:46:21Z","title":"LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection","version":1},"cited_work":{"arxiv_id":"2209.04642","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.04642","snapshot_observed_at":"2026-07-11T03:27:45.891909Z","title":"LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection","venue":"cs.CV","work_id":"11fafa0f-d36f-425d-8bac-e0c8322f75f0","year":2022},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2209.04642","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:a207319e05fec53d9ab356458ccd3f98f6cbadf2e996f43ca9f20927228ac535","observation_id":"d8019d32-76c1-4f09-822d-2a0ca2ab7218","resolution":{"observed_at":"2026-07-11T03:27:45.912900Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.276089Z","title":"EvLSD-IED: Event-based line segment detection with image-to-event distillation,","venue":null,"work_id":"2e47ec2f-fae4-4dc2-94b1-91b5ad7d1d28","year":2024},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:baff2776de44d24c8940987e1c215cba6eb644d7251c4dba91d18b5d8418419a","observation_id":"a468405e-7ae2-4314-bc8e-fd28e58f0ef5","resolution":{"observed_at":"2026-07-11T03:27:48.300186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.497919Z","title":"A fast line segment detector using approximate computing,","venue":null,"work_id":"a1f063a5-6066-4fee-a3ca-1ee3ad1597b7","year":2021},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:8fa6d77f25fe1090772cd835e2329db1921e38482081d62a53691b00f0cc82a3","observation_id":"cf74b5d1-3782-42ed-a66f-aeb99b8de39c","resolution":{"observed_at":"2026-07-11T03:27:48.518564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.06601","last_updated":"2018-01-19T23:39:15Z","snapshot_observed_at":"2026-08-09T05:58:08.992942Z","submitted_at":"2018-01-19T23:39:15Z","title":"CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs","version":1},"cited_work":{"arxiv_id":"1801.06601","doi":"10.48550/arxiv.1801.06601","metadata_source":"pith","pith_arxiv_id":"1801.06601","snapshot_observed_at":"2026-07-11T03:27:45.739818Z","title":"CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs","venue":"cs.NE","work_id":"69ae0df4-8381-4f4e-b7e4-79c11ea7c479","year":2018},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/1801.06601","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:eb4cdf0defc370775cc3f5069295046e7e045482e6cbc63fc31db2bff5a0f59d","observation_id":"28d65dad-c890-4cdb-b67b-336d0525b38e","resolution":{"observed_at":"2026-07-11T03:27:45.760457Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.329753Z","title":"LSD-TML-All: Training and evalua- tion notebooks for versions v1–v6,","venue":null,"work_id":"9de9cf12-9b96-416a-b63a-ec2a68d42d6d","year":2026},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:a9972a2459346927ea4743bee15c801e535fe4244a8a929a321f53b15290474a","observation_id":"0f8edc3a-79d2-4238-b975-f13c005eb1e4","resolution":{"observed_at":"2026-07-11T03:27:48.350305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.378249Z","title":"Improved knowledge distillation via teacher assis- tant,","venue":null,"work_id":"85e6d98f-08c0-4806-9ed1-6c942b4c2019","year":2020},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:5ac1e575a21aa1ec762aa6ce9be0ccfe7bc40393668f840bdaa71cf72dc543d7","observation_id":"3ae891f9-eb7f-4145-bb3b-ebbd05f1915a","resolution":{"observed_at":"2026-07-11T03:27:48.399591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.197571Z","title":"Dt-lsd: Deformable transformer-based line segment detection,","venue":null,"work_id":"736a4d7e-c589-4376-960a-b56a46a7c4d9","year":2025},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:108aba78ca7e7b8906e36389ebe2c5dc1a3f3bc4ead827cc1dada507aee8e2d9","observation_id":"d8a7575e-cf0b-4295-b79f-9bf8c50d4423","resolution":{"observed_at":"2026-07-11T03:27:48.222038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16264","last_updated":"2025-05-22T05:56:10Z","snapshot_observed_at":"2026-08-08T10:17:46.423608Z","submitted_at":"2025-05-22T05:56:10Z","title":"LINEA: Fast and Accurate Line Detection Using Scalable Transformers","version":1},"cited_work":{"arxiv_id":"2505.16264","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.16264","snapshot_observed_at":"2026-07-11T03:27:46.135330Z","title":"LINEA: Fast and Accurate Line Detection Using Scalable Transformers","venue":"cs.CV","work_id":"a7374187-0547-4093-8dc4-cb8c4c4295e8","year":2025},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"cited_paper":"/paper/2505.16264","citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:c5cd1429b9e554fede48b0362fb03a10538af3b9f75e34eb82d03dfadd00ab75","observation_id":"46640305-3147-44b0-b134-a891df5d1357","resolution":{"observed_at":"2026-07-11T03:27:46.152403Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.473136Z","title":"Em-lsd: A lightweight and efficient model for multi-scale line segment detection,","venue":null,"work_id":"5d67ab9f-077c-4a14-b8f0-65161b0b24c1","year":2026},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:57455f54d2bebe129f1ac8edf0c8bf0714c74c5aef58548dbfb1ffe6b1cde711","observation_id":"be374b35-c973-4784-aeaf-09cdcc18404a","resolution":{"observed_at":"2026-07-11T03:27:48.495248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.402208Z","title":"PPGNet: Learning point-pair graph for line segment detection,","venue":null,"work_id":"036bcdd7-613c-48c5-9624-7179da48feff","year":2019},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:1424e80e27c0ba6300a5bc060edd5619a71d594554709767836ac3657304a428","observation_id":"28bb9295-d223-4fde-9d3f-c1509580df3f","resolution":{"observed_at":"2026-07-11T03:27:48.423014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.546268Z","title":"Deep Hough transform for semantic line detection,","venue":null,"work_id":"a97019bc-92b5-48fc-969c-2ed788e61685","year":2020},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:703ea27b306cbdebcbeb2b820b90848b962b864ccefbc3f8e02f931fd7229839","observation_id":"3a9d52a9-0679-4eb6-bc39-6539f4ec4e33","resolution":{"observed_at":"2026-07-11T03:27:48.566683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.569296Z","title":"ST Edge AI Suite / X-CUBE-AI / ST Edge AI De- veloper Cloud,","venue":null,"work_id":"00ffb176-b3b0-4672-857d-a26a4adacb20","year":2025},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:3714c21e9c10874538434f7478b74b1f34c421cc9685ee91b7f4c99321f121e1","observation_id":"61a95c20-032f-421b-8e2e-22f9e9cb1bb5","resolution":{"observed_at":"2026-07-11T03:27:48.585548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.303311Z","title":"MiLSD: Micro line-segment detector,","venue":null,"work_id":"206722ae-8d07-417e-a113-178087fe5ecf","year":2026},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:b0183649b7e705bc819b7f905ec156f1ab7d019928726e4d6b7a1ce0ab5e4fb2","observation_id":"2cf9c95e-293f-416b-bd3c-e38281975fdd","resolution":{"observed_at":"2026-07-11T03:27:48.326811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-11T03:27:48.521217Z","title":"His research interests include stochastic and approxi- mate computing, unary processing, in-memory com- puting, and hyperdimensional computing","venue":null,"work_id":"745932aa-9d3f-43ff-9027-d2993b10a5ba","year":2024},"citing_paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-11T03:22:55.438074Z"},"links":{"citing_paper":"/paper/2607.06600"},"observation_digest":"sha256:df9eb08174e7d04ba10ac6d3b29dde1d10b7dcb18b42abfb57e8d0aefa457ffa","observation_id":"d8e43ed1-e105-46d7-b9ab-6dbcc6e375ed","resolution":{"observed_at":"2026-07-11T03:27:48.543219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.06600","last_updated":"2026-07-07T00:04:50Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T09:24:15.964859Z","submitted_at":"2026-07-07T00:04:50Z","title":"MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":0,"verified_exact":19,"verified_fuzzy":16},"total_outbound_references":36},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2607.06600."}