{"as_of":"2026-08-11T13:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d04edb19da6e17c8871673caeecf48d94a2f842a4377a3a1a46fa417dbc937f","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:28:15.518922Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2501.04846/citation-record","integrity":"/paper/2501.04846/integrity","json":"/paper/2501.04846/citation-record.json","paper":"/paper/2501.04846"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:28:16.309344Z","title":"Contour detection and hierarchical image seg- mentation","venue":null,"work_id":"238dcea7-8ed2-4340-b93f-16398bf6389e","year":2010},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.278872Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:31254518b77cc0e166188ba941c82bffa619d0087d2b9cffa2a8a3962577447b","observation_id":"1285e923-446b-41bf-869d-2d7826376ece","resolution":{"observed_at":"2026-08-10T21:28:16.314215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.296172Z","title":"A computational approach to edge detection","venue":null,"work_id":"f5d3748b-9202-4c57-b602-c4c55594b6ba","year":1986},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.283694Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:3c0a1f9fb340bc3a514fff6c13ef0dd7bb8a33f634f850eb57f5538d9f00d4d9","observation_id":"69202657-f4a7-44e2-92fc-f52b012a4df5","resolution":{"observed_at":"2026-08-10T21:28:16.301020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.283053Z","title":"Ranked: Addressing imbalance and uncertainty in edge detection using ranking-based losses","venue":null,"work_id":"d0db9f2b-0dd6-452e-bf9d-c35a4e0fb3d2","year":2024},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.288147Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:7d0b9fc73a8b45952c1bb8c15b91fa9fbd5a377f3ae68ead3ee4d7c33d6b7fdb","observation_id":"aa65c20a-7008-426d-916f-853ce83f196b","resolution":{"observed_at":"2026-08-10T21:28:16.288051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15761","last_updated":"2024-09-06T16:23:26Z","snapshot_observed_at":"2026-08-06T19:39:42.225624Z","submitted_at":"2024-02-24T08:20:39Z","title":"Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15761","snapshot_observed_at":"2026-08-10T21:28:15.293727Z","title":"Res-vmamba: Fine-grained food category visual classification using selective state space models with deep residual learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.293727Z"},"links":{"cited_paper":"/paper/2402.15761","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:92a775aa4cf681e835fbae6497c131829198088164eee9bcd380b4a3398dac76","observation_id":"79d8b349-8610-4b29-a604-9f073878b7c5","resolution":{"observed_at":"2026-08-10T21:28:15.293727Z","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":"2026-08-10T21:28:16.265811Z","title":"A survey of edge detection techniques","venue":null,"work_id":"b78f7466-2a60-4d6a-a178-1d546a72afca","year":1975},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.298572Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:6f3e1c134a724dca05844375725f845346ca87c5a9b130b40107722f4b677939","observation_id":"08c64c11-4ab1-40db-8138-9518c4362190","resolution":{"observed_at":"2026-08-10T21:28:16.270137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.252229Z","title":"Deep structural contour de- tection","venue":null,"work_id":"b228c749-9f50-4602-85e3-c98bd1a45180","year":2020},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.303113Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:e75215695a43bc2cc11daf8cd2ae836f3a86267c80e47fb1d11abc90af6f382f","observation_id":"414915e7-1f21-47a1-b078-ca5a3d3b9a6a","resolution":{"observed_at":"2026-08-10T21:28:16.256847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.238835Z","title":"Learning to decode con- textual information for efficient contour detection","venue":null,"work_id":"0572b10f-8a50-4650-a112-41287e77f40d","year":2021},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.307354Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:d534cc563cc59065c438bd67d4d944c95e3179b01b1ed93d9ec83b9e07940db3","observation_id":"85619024-2063-4b5e-a804-fc95943a178f","resolution":{"observed_at":"2026-08-10T21:28:16.243890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.226521Z","title":"Learning to predict crisp boundaries","venue":null,"work_id":"69db433c-6b10-4a22-b9ce-c792798ad28c","year":2018},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.312835Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:9dfcd768e307021ce05628d9f9de82f0186049586171eee663172c601e58a608","observation_id":"1fa6ea1c-6f1b-4bae-8164-f8b219b08739","resolution":{"observed_at":"2026-08-10T21:28:16.230358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.212939Z","title":"Fast edge detection us- ing structured forests","venue":null,"work_id":"06c6cd76-53e7-4d5d-9d44-70c5e00fde01","year":2014},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.317286Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:a5f6ca41a260a0907ba648884e849ac8a4084e0bee5a8785a6643847b449de06","observation_id":"9df3c189-d02a-419b-912b-b2dff8d47aa1","resolution":{"observed_at":"2026-08-10T21:28:16.217364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.195057Z","title":"Fast edge detection using structured forests","venue":null,"work_id":"10a3b6b8-c20d-4cf5-addd-9e216362a63a","year":2014},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.322246Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:fff3543dc92d2372bb71bc133c78dcc0fb3bf02c03dd7d4e209491e95620e9fe","observation_id":"49062548-3cbb-437a-a4f8-f973f9fcde7b","resolution":{"observed_at":"2026-08-10T21:28:16.201394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-10T21:28:15.326357Z","title":"An image is worth 16x16 words: Trans- formers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.326357Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:1a105167712b6911f84281695d3fbbcb2908863ca4fde2e83a906f03ffc48b74","observation_id":"5c13e000-9b1d-4837-ad52-8e9dc2c92f1d","resolution":{"observed_at":"2026-08-10T21:28:15.326357Z","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":"2026-08-10T21:28:16.178489Z","title":"Practical edge detection via ro- bust collaborative learning","venue":null,"work_id":"d4ba3f5d-a101-45a4-8c56-062db5ee1c8c","year":null},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.330846Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:84dcb109d742c853a6eb58d56b3ad6c5c201d0d400c2a7446dee9d76241cff7c","observation_id":"0c1ef0cd-c941-44d1-8dc3-ac57b5975ec4","resolution":{"observed_at":"2026-08-10T21:28:16.183554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-10T21:28:15.334930Z","title":"Mamba: Linear-time sequence modeling with selective state spaces","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.334930Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:6def930c4a2ebd5a6dd242d43e9b6b3baadf521feba94430662312850975fb28","observation_id":"84d4c0f4-7016-4428-9980-48507fe7697b","resolution":{"observed_at":"2026-08-10T21:28:15.334930Z","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":"2026-08-10T21:28:16.163366Z","title":null,"venue":null,"work_id":"650a4609-3abe-4680-9537-0bb524ce3f52","year":null},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.339179Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:c470e179f499df418630b02fef3cd514d69f5b965dcb55a0ac62d0567db4db5a","observation_id":"e18fcfbc-a028-431a-a160-1d85c7910aaa","resolution":{"observed_at":"2026-08-10T21:28:16.167990Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.146160Z","title":"Oriented edge forests for boundary detection","venue":null,"work_id":"901076ab-8d40-4b77-8fba-4f151ddc946b","year":2015},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.342548Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:eeb4beb3818e92d1f013eec212e5f2ebb6081dc54a717e9afb2a27308a60e5cd","observation_id":"a724dbf7-550f-4c08-a0bf-fc6bca9ca4c9","resolution":{"observed_at":"2026-08-10T21:28:16.150690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.132435Z","title":"Bdcn: Bi-directional cascade network for per- ceptual edge detection","venue":null,"work_id":"409bd72c-e841-48cc-9f21-7438eeb92470","year":2022},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.346684Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:ec9beb9b0e3f72b9e485f0f8d94203779acd1765fd9694377bea303f158caba2","observation_id":"0bf511ee-d547-4348-8978-d10c35a0cb5b","resolution":{"observed_at":"2026-08-10T21:28:16.137030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.350835Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.350835Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:8eee8525ead7ea97effb450940a001e3ce13a7980007098726e6298f1e5eb37b","observation_id":"8f954c7b-bfae-45ae-98e6-5f72d25ba180","resolution":{"observed_at":"2026-08-10T21:28:15.350835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04861","last_updated":"2017-04-17T03:57:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-04-17T03:57:34Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.04861","snapshot_observed_at":"2026-08-10T21:28:15.354358Z","title":"Mobilenets: Efficient convolu- tional neural networks for mobile vision applications","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.354358Z"},"links":{"cited_paper":"/paper/1704.04861","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:99815779fc49373e572565664745eafcb40286f71166de52940fbe5c181ff191","observation_id":"c3df83a9-e9c5-441b-8aff-754e56d44937","resolution":{"observed_at":"2026-08-10T21:28:15.354358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09338","last_updated":"2024-03-14T12:32:40Z","snapshot_observed_at":"2026-08-06T04:08:34.950441Z","submitted_at":"2024-03-14T12:32:40Z","title":"LocalMamba: Visual State Space Model with Windowed Selective Scan","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09338","snapshot_observed_at":"2026-08-10T21:28:15.358253Z","title":"Localmamba: Visual state space model with windowed selective scan","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.358253Z"},"links":{"cited_paper":"/paper/2403.09338","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:5a66c371f6ce4dd33993d6002601823870cf19f9a6d3e061b38f8e4ccca9b269","observation_id":"fcc35af9-2104-4c06-bbc7-d5e047e4fec4","resolution":{"observed_at":"2026-08-10T21:28:15.358253Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.07386","last_updated":"2016-01-22T15:31:32Z","snapshot_observed_at":"2026-07-06T04:37:29.932948Z","submitted_at":"2015-11-23T19:54:09Z","title":"Pushing the Boundaries of Boundary Detection using Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.07386","snapshot_observed_at":"2026-08-10T21:28:15.363051Z","title":"Pushing the boundaries of bound- ary detection using deep learning","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.363051Z"},"links":{"cited_paper":"/paper/1511.07386","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:0070701c7d02c55774b77291d3c3018dfeb06ff70b78a8aba8d2ebf01074a93f","observation_id":"87b1fd8d-dd38-47e8-afc0-8765852b38cd","resolution":{"observed_at":"2026-08-10T21:28:15.363051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-10T21:28:15.367642Z","title":"Auto-encoding varia- tional bayes","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.367642Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:2e7a0cb249b43cbaa0f271d6ef4a665f215c057a845f9f0cb55e057101ff27c1","observation_id":"7084265b-770e-4c7c-9a34-cc136a0d76cf","resolution":{"observed_at":"2026-08-10T21:28:15.367642Z","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":"2026-08-10T21:28:16.110011Z","title":"Beta net- work for boundary detection under nondeterministic labels","venue":null,"work_id":"c3dd8ec8-2d0c-420f-9731-b79fc58a9785","year":2023},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.372070Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:861a9ebc2868bef1302e4d81c1782fc220c5ad5acb81fe542fdb9dbbf71db27d","observation_id":"d55c28d3-04e9-4253-b3d4-b79622d3b9cd","resolution":{"observed_at":"2026-08-10T21:28:16.114688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05246","last_updated":"2024-03-11T07:14:36Z","snapshot_observed_at":"2026-07-06T17:41:31.462546Z","submitted_at":"2024-03-08T12:07:42Z","title":"LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05246","snapshot_observed_at":"2026-08-10T21:28:15.376243Z","title":"Lightm-unet: Mamba assists in lightweight unet for medical image segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.376243Z"},"links":{"cited_paper":"/paper/2403.05246","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:5e55b4072f2b43d141622761fe53f34abb61c78a6c83630f06f8b4a32b59eae8","observation_id":"c5de8ad6-91c1-43d9-9c01-971bffa23233","resolution":{"observed_at":"2026-08-10T21:28:15.376243Z","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":"2026-08-10T21:28:16.096468Z","title":"Richer convolutional features for edge detection","venue":null,"work_id":"963fac00-7cc7-4220-b456-5681f59ed587","year":1939},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.380573Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:3fdc550cc322aa3e17f796d51e5532f49f626ba774f90f81fd779c0e6d22642a","observation_id":"fe4e12bc-152d-479e-846b-e433b3a7fd9f","resolution":{"observed_at":"2026-08-10T21:28:16.100703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.081361Z","title":"Learning relaxed deep su- pervision for better edge detection","venue":null,"work_id":"a5fef007-1c55-4adb-8998-2265cef7ff0b","year":2016},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.384679Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:f0ad802ea260e36594b4ec6b13810985723faf49593df1e6d9a65763864742cf","observation_id":"e20bed75-333d-4099-90c7-d6dd40fccf30","resolution":{"observed_at":"2026-08-10T21:28:16.086637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.068576Z","title":"Understanding the effective receptive field in deep convolu- tional neural networks","venue":null,"work_id":"5219b7c9-1356-4ac0-8b90-741d77325cee","year":2016},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.388877Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:61fa0260abfab18ad7bc385a0679dc048dc404dd29553fbd33ea6389102f0365","observation_id":"2b0fd48b-2329-4458-a5c6-069b73a12a52","resolution":{"observed_at":"2026-08-10T21:28:16.072774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.055066Z","title":"Dense extreme inception network: Towards a robust cnn model for edge detection","venue":null,"work_id":"4b0b1c4f-2363-420f-b984-edbf33693ab8","year":1923},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.393035Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:c145efdcdc5587efc06bb24afdc07eba918e31ab4bb90affe22afb3b71a91c0f","observation_id":"db49770d-4580-48aa-8619-b474b267e11c","resolution":{"observed_at":"2026-08-10T21:28:16.060461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.042661Z","title":"Edter: Edge detection with transformer","venue":null,"work_id":"2f880501-228f-4000-9916-a5d6e2da0486","year":2022},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.397297Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:e1fd1f5fd64d1d065f6113413bffd8b79243778120f2341eeb9d215449f1e8c7","observation_id":"ab41fdab-76fa-467d-9f53-73093124f65e","resolution":{"observed_at":"2026-08-10T21:28:16.046891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.029123Z","title":"Discriminatively trained sparse code gradients for contour detection","venue":null,"work_id":"2bc7378d-257d-42e1-9b6d-dfef7eea7eae","year":2012},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.401315Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:14a3b314c4a33949004d06884ea6fa628e5e27cdc4d8e3a4ea1db98acd339842","observation_id":"6b033729-649e-496b-b1b2-5498a046e4e3","resolution":{"observed_at":"2026-08-10T21:28:16.033625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.017202Z","title":"U- net: Convolutional networks for biomedical image segmen- tation","venue":null,"work_id":"c5d6a30c-b0a4-43a7-ac57-5122b1f43f2f","year":2015},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.405465Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:d07eb0d78e932f42d8ba44d1ab5e8ab3fd26f9e9b7ad40b3080268a4f967aec0","observation_id":"24f6b8e5-fe8c-4be5-8eaf-c0e97339bfcd","resolution":{"observed_at":"2026-08-10T21:28:16.021201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:16.005602Z","title":"A classified and comparative study of edge de- tection algorithms","venue":null,"work_id":"7b2b59c2-edc2-4d35-a97c-8367e3ccac27","year":2002},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.409406Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:cd984fcce873611f3d501137e8a849a9aa106960b35bbee16ee8ee67ede31ae9","observation_id":"ddcd534a-6ea2-4c64-8d7f-1f34940e4b17","resolution":{"observed_at":"2026-08-10T21:28:16.009557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.991955Z","title":"Deepcontour: A deep convolutional feature learned by positive-sharing loss for contour detection","venue":null,"work_id":"f656ad60-b3c6-466f-a26f-074564ae390c","year":2015},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.413690Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:d4276b95a2a0553445ff4a8afe32a0511500279108d4dfcfbcfe03a8831b4651","observation_id":"2ab53a3d-c907-4b06-878e-5a309029d2f9","resolution":{"observed_at":"2026-08-10T21:28:15.996716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.979131Z","title":"The edge of depth: Explicit constraints between segmentation and depth","venue":null,"work_id":"c7f88ab8-f844-446b-9521-265219e62142","year":null},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.417920Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:b34f1be33ba77780985379b57286b0133f6ed4c4cf12f2255e159191d07b019f","observation_id":"8d8ee6ba-e65e-49c4-93ff-af97a625ecb0","resolution":{"observed_at":"2026-08-10T21:28:15.984092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.962968Z","title":"Indoor segmentation and support inference from rgbd images","venue":null,"work_id":"45feff6d-28c2-4700-84fc-cffc148e5c00","year":2012},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.422406Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:0bafde79618b78e3639bee043d20d953adf66911d3b98e1f1e602f6635eccd73","observation_id":"5c0530f0-c4b5-4f47-b33d-5ccea1e31136","resolution":{"observed_at":"2026-08-10T21:28:15.968096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-10T22:24:05.831832Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-10T21:28:15.426954Z","title":"Very deep convo- lutional networks for large-scale image recognition","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.426954Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:6906c86894cc5e734f5bb2464f1034214fbdc5f697b47aaa2298bc0f02620e33","observation_id":"5435557f-e29b-41b8-848c-5da5bd959576","resolution":{"observed_at":"2026-08-10T21:28:15.426954Z","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":"2026-08-10T21:28:15.948635Z","title":"A 3x3 isotropic gradient operator for image processing","venue":null,"work_id":"bf875aef-f442-4229-bd45-3a9765a33d43","year":1968},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.431978Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:b25e5fa6999fa5b523dc1f38929e4400a6fd64687ec68b23c77db4c6c573b427","observation_id":"2755089a-7b92-4a77-b974-6906e1679dd2","resolution":{"observed_at":"2026-08-10T21:28:15.952976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.934848Z","title":"Ldc: Lightweight dense cnn for edge detection.IEEE Access, 10:68281–68290, 2022","venue":null,"work_id":"526b27b9-b88a-4dbd-a109-764fc721b58e","year":2022},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.436159Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:261fe6113c091ddfb2f5282b22a67d7312181ad2c09f67e4d2ad80bbd6cd79d5","observation_id":"0ac8bc7b-c190-4a80-8ac0-7a5e57d0c26a","resolution":{"observed_at":"2026-08-10T21:28:15.939107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.921693Z","title":"Dense extreme inception network for edge detec- tion","venue":null,"work_id":"b3c83b6d-79a7-4b91-a6b7-f82b745c9934","year":2023},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.440785Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:979f83e9481ad3828b9020bc284a84ec0ba1a6ae272d8ed8021f62cc18912c8b","observation_id":"d58f8712-218b-4c67-916f-adcb66eea221","resolution":{"observed_at":"2026-08-10T21:28:15.926016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.908781Z","title":"Lightweight pixel dif- ference networks for efficient visual representation learning","venue":null,"work_id":"f7ced6e0-b5eb-447a-bb80-7d02c610cc36","year":2023},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.445016Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:d517d343fe7754d4dbc8feced4fd0312d74a3b57776c2c3400f4f708e9277de4","observation_id":"7ac41fa6-b7dd-47d9-ba0f-2bedfc457460","resolution":{"observed_at":"2026-08-10T21:28:15.913004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09516","last_updated":"2024-04-15T07:24:45Z","snapshot_observed_at":"2026-08-10T03:43:24.928430Z","submitted_at":"2024-04-15T07:24:45Z","title":"State Space Model for New-Generation Network Alternative to Transformers: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09516","snapshot_observed_at":"2026-08-10T21:28:15.448923Z","title":"State space model for new-generation net- work alternative to transformers: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.448923Z"},"links":{"cited_paper":"/paper/2404.09516","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:13b52029ce4dc9b376519e0193a070d8c93e726aef7032a09cb9161906d8f931","observation_id":"68291d5b-c7be-41f2-82a6-e10c1785a3da","resolution":{"observed_at":"2026-08-10T21:28:15.448923Z","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":"2026-08-10T21:28:15.894724Z","title":"Deep crisp bound- aries","venue":null,"work_id":"8d5fab86-204a-4c0f-9f06-abdd37e9d7ed","year":2017},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.453000Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:4b44a931b3a121f0f6626798ab11d7f70ba288c38bd5c7f1fe67b0c24a880601","observation_id":"8dd7aa0e-7542-49d3-9c99-2aa0282694bf","resolution":{"observed_at":"2026-08-10T21:28:15.898798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.20035","last_updated":"2024-04-24T09:17:06Z","snapshot_observed_at":"2026-08-08T23:35:39.077443Z","submitted_at":"2024-03-29T08:03:42Z","title":"UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.20035","snapshot_observed_at":"2026-08-10T21:28:15.457098Z","title":"Ultralight vm-unet: Parallel vision mamba significantly reduces parameters for skin lesion segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.457098Z"},"links":{"cited_paper":"/paper/2403.20035","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:9946cfb7f92fd682e4cf557b991f83ddd925a6c34dfd1cc2912db40e8fc06c55","observation_id":"57ba3ee2-b03b-487c-93ac-52cca6bcf5f2","resolution":{"observed_at":"2026-08-10T21:28:15.457098Z","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":"2026-08-10T21:28:15.881334Z","title":"Holistically-nested edge de- tection","venue":null,"work_id":"5a18fdca-4be8-4631-a10f-ce017c33cbb7","year":2017},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.461466Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:d2f8a771a7329aa3db805a9df0bae5122e5041afd8b8dd50868f966b7d11d2bf","observation_id":"c4511597-6702-42b2-9e73-21e48eb8389d","resolution":{"observed_at":"2026-08-10T21:28:15.886320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.868146Z","title":"Learning deep struc- tured multi-scale features using attention-gated crfs for con- tour prediction","venue":null,"work_id":"5dee95ce-d049-4ccf-9b2c-a196e42b158a","year":2017},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.466008Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:c4f84125f5d3f735274a4aaa9845d399c49e95346608c98b3ec9ed8e9ddafce0","observation_id":"84359e28-cd64-438a-b475-1e23834a6c18","resolution":{"observed_at":"2026-08-10T21:28:15.872863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02066","last_updated":"2023-04-07T01:10:17Z","snapshot_observed_at":"2026-07-06T13:17:30.429965Z","submitted_at":"2022-06-04T23:16:52Z","title":"PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.02066","snapshot_observed_at":"2026-08-10T21:28:15.470473Z","title":"Pidnet: A real-time semantic segmentation network inspired from pid controller","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.470473Z"},"links":{"cited_paper":"/paper/2206.02066","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:5b9d8f3bc5e5caa6347a04a7925b036c671f96a8269970fa79f09dfeabaffb32","observation_id":"c37ce51e-3efb-465d-92fd-53f8c78f52a3","resolution":{"observed_at":"2026-08-10T21:28:15.470473Z","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":"2026-08-10T21:28:15.854523Z","title":"Fcl- net: Towards accurate edge detection via fine-scale correc- tive learning","venue":null,"work_id":"fba28515-9d21-4f9a-9434-bf613f4d441c","year":2022},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.475076Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:41976052ca796c11ae713ac2d2eb8cc675465397f0bca6b3bd4b3f92c7396218","observation_id":"f0989644-892b-42fc-bd0e-8b94fbf7640b","resolution":{"observed_at":"2026-08-10T21:28:15.859202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.840080Z","title":"Object contour detection with a fully convolutional encoder-decoder network","venue":null,"work_id":"fde5e99a-dc72-47b6-a271-75210e849cbd","year":2016},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.479945Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:789ec9d8202b7f60095d4432a55c06d10ceb9c5e74617c1b10c5196ed427a006","observation_id":"de02df08-4219-4501-b356-08cd2fd54fb7","resolution":{"observed_at":"2026-08-10T21:28:15.844857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17839","last_updated":"2024-07-25T02:08:30Z","snapshot_observed_at":"2026-07-06T17:51:24.261505Z","submitted_at":"2024-03-26T16:27:37Z","title":"ReMamber: Referring Image Segmentation with Mamba Twister","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17839","snapshot_observed_at":"2026-08-10T21:28:15.484573Z","title":"Remamber: Referring image segmentation with mamba twister","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.484573Z"},"links":{"cited_paper":"/paper/2403.17839","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:e29cc311b9fc6ec3521fe681ff2b4265d2119cae37f78bd0595de1c14a52268e","observation_id":"e2390c2c-19d9-4c6d-99fc-5164a89dfcd5","resolution":{"observed_at":"2026-08-10T21:28:15.484573Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02032","last_updated":"2024-01-09T12:00:35Z","snapshot_observed_at":"2026-08-10T11:50:38.064315Z","submitted_at":"2024-01-04T02:20:54Z","title":"DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02032","snapshot_observed_at":"2026-08-10T21:28:15.489669Z","title":"Diffusionedge: Diffusion probabilistic model for crisp edge detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.489669Z"},"links":{"cited_paper":"/paper/2401.02032","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:8ed208b805d78ab48eca416a5e201f43c60c63e611d7baefdf710fe51fbeeaef","observation_id":"df8e6d62-79f3-4c00-983c-c5a7f4bcc3b2","resolution":{"observed_at":"2026-08-10T21:28:15.489669Z","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":"2026-08-10T21:28:15.826252Z","title":"Sketch me that shoe","venue":null,"work_id":"2dca59c9-156a-4a59-ac47-a17a534ba4df","year":2016},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.495023Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:58b9b0cc9a5c366c51e48bd299e2d33f46e5ed05068fccabd81358b062c93b9a","observation_id":"6a09da47-a127-4531-8cf1-1a587562d66b","resolution":{"observed_at":"2026-08-10T21:28:15.830493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.813508Z","title":"A survey on visual mamba","venue":null,"work_id":"7c273cae-04f2-4da5-add8-bb7efa025d13","year":2024},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.500005Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:0a239a496dfd412322b49e4f396f5b5558c6747df3603923191f8d3424018dcf","observation_id":"9c03d77b-b8d7-4ff3-8026-b74b6e86fb78","resolution":{"observed_at":"2026-08-10T21:28:15.817288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.798336Z","title":"Egnet: Edge guid- ance network for salient object detection","venue":null,"work_id":"0dc250cf-876e-4124-b304-67cc1af1c0b2","year":2019},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.504434Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:5af2cdd1203fcc9b26102a1ae0e84eb065ee56ce603c81b6e4cbd4619309af91","observation_id":"ed9afc79-3e58-4ad2-a2ea-dab51d3cd486","resolution":{"observed_at":"2026-08-10T21:28:15.803981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.783477Z","title":"Muge: Multiple granularity edge detection","venue":null,"work_id":"39723b86-2f15-46d8-ad38-bc3139826ffe","year":2024},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.509318Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:3405641adbeece37a9c92f139fbf896b85d8b73ef6ab1a8cc7c6acec4bf8e6ae","observation_id":"31fbde20-67f1-4182-8833-28c32c42d9bf","resolution":{"observed_at":"2026-08-10T21:28:15.787628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T21:28:15.765673Z","title":"The treasure beneath multiple an- notations: An uncertainty-aware edge detector","venue":null,"work_id":"7933e194-6457-4f4b-9f94-8ed6304ba804","year":2023},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.514302Z"},"links":{"citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:33cc9fc93955a19d39c4ac3d0d710add87b06b75330d60060db9eb80723eaa4e","observation_id":"0f9aa9b7-ca07-4ba8-bdfc-f9ff608398f6","resolution":{"observed_at":"2026-08-10T21:28:15.773001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09417","last_updated":"2024-11-14T02:00:33Z","snapshot_observed_at":"2026-07-06T17:16:59.193820Z","submitted_at":"2024-01-17T18:56:18Z","title":"Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09417","snapshot_observed_at":"2026-08-10T21:28:15.518922Z","title":"Vision mamba: Efficient visual representation learning with bidirectional state space model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T21:28:15.518922Z"},"links":{"cited_paper":"/paper/2401.09417","citing_paper":"/paper/2501.04846"},"observation_digest":"sha256:d9a4b2496c0b70109122025f8d2a1edc79934b7831b15316090069e80bff3c44","observation_id":"5a52c1ba-dc09-4b86-baab-e73b7042d5bb","resolution":{"observed_at":"2026-08-10T21:28:15.518922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.04846","last_updated":"2025-01-08T21:15:14Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T04:22:55.426098Z","submitted_at":"2025-01-08T21:15:14Z","title":"EDMB: Edge Detector with Mamba"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":0,"verified_fuzzy":38},"total_outbound_references":55},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2501.04846."}