{"as_of":"2026-08-16T15:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:23547402d3eaf2e801a650a5dcbfa6a95370eddf88bc1587a6350e12a36f0ed3","coverage":[{"denominator":74,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":74,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T22:01:08.660297Z","state":"measured"},{"denominator":74,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":74,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2501.18929/citation-record","integrity":"/paper/2501.18929/integrity","json":"/paper/2501.18929/citation-record.json","paper":"/paper/2501.18929"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T22:01:09.666599Z","title":"A 3x3 isotropic gradient operator for image processing,","venue":null,"work_id":"67812cc5-406b-4df9-a582-88f9bd30d3e8","year":1968},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.111154Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:f87a7feab49bb9f376dcc6fb205d0d8591b9e15729622daec6cfb040849af0f2","observation_id":"32c7c923-c1af-4e2f-8745-2eeaad218570","resolution":{"observed_at":"2026-08-09T22:01:09.670578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.655543Z","title":"Holistically-nested edge detection,","venue":null,"work_id":"e6aa3d30-dfff-4dc0-8778-b3a3b82d5474","year":2015},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.115405Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:0de6cb16bdcedffb6e7754534e3e4ecc5bec9e5ec8cee06037058114307afe3e","observation_id":"a823481e-4d9f-440f-9213-a2b2af2cd921","resolution":{"observed_at":"2026-08-09T22:01:09.659249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.644702Z","title":"Sliding window based adaptative fuzzy measure for edge detection,","venue":null,"work_id":"d72c6e90-68ae-4f54-b223-378df3a0a70a","year":null},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.118935Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:e2d4b4526462df262ac872660eb4131e8f8fa37daa603905c1174dcc042edefb","observation_id":"8d2c88d3-caea-44d6-ab54-207fd62d63fc","resolution":{"observed_at":"2026-08-09T22:01:09.648704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11269","last_updated":"2023-09-08T07:28:27Z","snapshot_observed_at":"2026-08-16T15:06:45.621309Z","submitted_at":"2023-08-22T08:29:09Z","title":"Quantum-Inspired Machine Learning: a Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11269","snapshot_observed_at":"2026-08-09T22:01:08.122827Z","title":"Quantum -inspired machine learning: a survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.122827Z"},"links":{"cited_paper":"/paper/2308.11269","citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:de65017061c869f82b31ed002b13a8b69cedb9fff9da5fcb8a6880b73310712b","observation_id":"12faa0c3-40a9-428e-a20d-762633f3e6c6","resolution":{"observed_at":"2026-08-09T22:01:08.122827Z","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":"2026-08-09T22:01:09.633914Z","title":"Quantum -enhanced hybrid feature engineering in thoracic CT image analysis for state -of-the-art nodule classification: an advanced lung cancer assessment,","venue":null,"work_id":"9486788a-964d-4dc2-8b29-2e1d9361d503","year":2024},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.127177Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:079c90a8e8e92252f014dc47158b84e67501e65d81f5077910786d2e9953d9af","observation_id":"9ee5c214-ecdc-4ce1-ac32-460df843e393","resolution":{"observed_at":"2026-08-09T22:01:09.637938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.621614Z","title":"A hybrid quantum image edge detector for the NISQ era,","venue":null,"work_id":"3a421dbf-e3a9-400a-9a42-74f39ce16658","year":2022},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.146422Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:de19dde1776dc643bdd6631908132130f2b823b0576ebac859e04468f599dcf4","observation_id":"548d5675-2d98-43fc-b0a9-c40191db3220","resolution":{"observed_at":"2026-08-09T22:01:09.625632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.610027Z","title":"Contour detection and hierarchical image segmentation,","venue":null,"work_id":"bdf4ce6a-cc78-42d0-b970-bc0a380a052a","year":2010},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.166128Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:f5d96a6e0c0d457079d4e5205f15222970bd4c8d62b801763869ee1cacdfcabf","observation_id":"de435c2a-d19c-472f-8601-7f1831b3cb28","resolution":{"observed_at":"2026-08-09T22:01:09.613979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:08.186223Z","title":"The Pascal Visual Object Classes Challenge: A Retrospective,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.186223Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:3983853ca6f81a94e7162cd3d5c2220fe3c6f32750e495dfe985bc901cc40d97","observation_id":"29581671-24f3-4e9c-a88b-027e0ef53ce1","resolution":{"observed_at":"2026-08-09T22:01:08.186223Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.12739","last_updated":"2020-04-27T12:27:37Z","snapshot_observed_at":"2026-08-16T06:26:32.402071Z","submitted_at":"2020-04-27T12:27:37Z","title":"Dynamic complexity of Reachability: How many changes can we handle?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.12739","snapshot_observed_at":"2026-08-09T22:01:08.206071Z","title":"Learning to detect natural image boundaries using local brightness, color, and texture cues,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.206071Z"},"links":{"cited_paper":"/paper/2004.12739","citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:a3c446ea65e8f795bc14f8f0fad2429341de9314662886f952c6334edd40cb88","observation_id":"ec74d94f-afb4-4628-b82b-0a1680c11d96","resolution":{"observed_at":"2026-08-09T22:01:08.206071Z","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":"2003.81425","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T22:01:08.884590Z","title":"Contour detection based on nonclassical receptive field inhibition,","venue":null,"work_id":"79a42651-353f-43bf-a29d-48dae354f266","year":2003},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.223940Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:ca0e3ac518017af42fbcb9b85b3f33a879545f80840536ce160fe80978057606","observation_id":"bac49388-2d82-4f1b-95a2-2f1ad32bf635","resolution":{"observed_at":"2026-08-09T22:01:08.892448Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.598705Z","title":"Photo -Sketching: Inferring Contour Drawings From Images,","venue":null,"work_id":"ce8b08f7-9650-45db-bf24-ebe888854a1d","year":2019},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.242415Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:f6c526d06ca19d7cf4e749fa6008182c0f31b665b44de087c2d1335bb45e1a24","observation_id":"c1f0edc9-6d6f-45f3-b221-0de11ff348d5","resolution":{"observed_at":"2026-08-09T22:01:09.602880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.585104Z","title":"Dense extreme inception network: Towards a robust cnn model for edge detection,","venue":null,"work_id":"6703ec32-4b5d-4378-88c5-ddbccb8f2f36","year":2020},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.288035Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:e220d3de192f5b83daa4794c039e84ba22b0af7ca2d6fdb1efaf3a7f5f561fe8","observation_id":"f9562943-5a33-44e5-8465-27ffbaf52909","resolution":{"observed_at":"2026-08-09T22:01:09.589316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:08.330323Z","title":"A systematic comparison between visual cues for boundary detection,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.330323Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:758cc85feaf2b79a306423d5319b364c52e661acc2af09a213f4bbed48b4a145","observation_id":"bdc0c302-d966-411b-8b30-807557b42bfa","resolution":{"observed_at":"2026-08-09T22:01:08.330323Z","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":"2026-08-09T22:01:09.573292Z","title":"Indoor segmentation and support inference from rgbd images,","venue":null,"work_id":"9a166f3e-5e47-400d-8877-42f16e1a1eb6","year":2012},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.342959Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:790e03daef97b84ad0083937db25a2189f14139ddd3a5d048cb7a4c96317412f","observation_id":"e1e87317-4e50-4931-b36d-9545c8e372e9","resolution":{"observed_at":"2026-08-09T22:01:09.577464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.562065Z","title":"A computational approach to edge detection,","venue":null,"work_id":"c5e2a114-3eab-4b94-857a-58c0efb31da6","year":1986},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.346072Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:e5181e3066e6862556a3825a5011e4586e7ee84f82df8e45a7fccf50929dc338","observation_id":"c963a123-1dc3-4781-9f5b-a90907f629e8","resolution":{"observed_at":"2026-08-09T22:01:09.565995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.550402Z","title":null,"venue":null,"work_id":"098b1d11-f21a-4e38-9c9b-0b0ea24e2aa8","year":2009},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.350003Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:0431e22bb3bf839f5fce55b38525db10a07848a6a5bd9fd48e4a20acd5e9335e","observation_id":"68ba8cad-ba86-4f6a-9817-e5116baee681","resolution":{"observed_at":"2026-08-09T22:01:09.554462Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.536843Z","title":"Study and comparison of various image edge detection techniques,","venue":null,"work_id":"e497b6fa-64c9-449f-ad51-05b1f72d462a","year":2012},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.354395Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:7163bc1057901b84218c56a050c42aa1ee01cf66500ed6eba2e81c97abbc9cd3","observation_id":"c98d5c88-e49e-4442-ae0d-b0922345d75a","resolution":{"observed_at":"2026-08-09T22:01:09.541199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.524076Z","title":"The watershed transformation applied to image segmentation,","venue":null,"work_id":"50134575-652d-42be-9fd5-952d7018a427","year":1992},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.358231Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:6d08ba2dd2d52760d798f25115b56597d9c557cd109b5232d054b0a7d5e89a49","observation_id":"071d5c7c-d000-4a44-b264-95d4bda7fe4f","resolution":{"observed_at":"2026-08-09T22:01:09.528499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.512420Z","title":"The design and use of steerable filters,","venue":null,"work_id":"5e41e195-f7b5-4cd6-9e07-943bbb974963","year":1991},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.361968Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:0e84223e16d66c2a8ab0a5a7b4382e363870df1d645414338eedc8e2857133ce","observation_id":"72c0c199-86e4-496e-8995-52131d670b1b","resolution":{"observed_at":"2026-08-09T22:01:09.516190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.500054Z","title":"Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations,","venue":null,"work_id":"f1ccb43b-7e43-4f8b-8d89-0d3604e2c28d","year":1988},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.365742Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:efc580e4747548f53eb0f7b0a4ac886e5b689557581fd470963eb8b2109ddbca","observation_id":"4d3707d0-67e7-4516-af63-dca5413bd81f","resolution":{"observed_at":"2026-08-09T22:01:09.504884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.487694Z","title":"Underwater Image Denoising Using Adaptive Retinal Processes and Smoothening Filters,","venue":null,"work_id":"40d8a8b2-92fa-4443-a95d-80fe0123398e","year":2023},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.369521Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:1cdcc3f1f0bd3bcdcf2317b78c232fddae18741a4d08d0db5685913ca07f2695","observation_id":"84d4a8e1-58aa-4cdd-a284-fd7fb4719124","resolution":{"observed_at":"2026-08-09T22:01:09.491948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.474870Z","title":"Edge detection techniques using nonlinear diffusion-based models,","venue":null,"work_id":"31e562ad-c3e4-4271-a173-79acda211ae9","year":2023},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.373450Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:13208a4469a8117499c73a3f4552fe71ae886f9209a7f79bb8b039281cfc7ce5","observation_id":"93693550-ad7a-49de-aa69-bc25f31ccc03","resolution":{"observed_at":"2026-08-09T22:01:09.479203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.463488Z","title":"Hierarchical Edge -Preserving Dense Matching by Exploiting Reliably Matched Line Segments,","venue":null,"work_id":"ce39764b-0f13-467b-bb6b-4ed6e9ed02b0","year":2023},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.376628Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:b078746f289af510f865a86dc26f3d228754b7c3589f3db09459a27e6e7494c3","observation_id":"9271375d-c10c-42b3-add0-8aaa58b0bc12","resolution":{"observed_at":"2026-08-09T22:01:09.467516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.451836Z","title":"Quantum - Inspired Optimization in AI for Healthcare Networks,","venue":null,"work_id":"557f90fa-a2a6-4736-b52e-5acd048cab0d","year":2024},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.380276Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:6d3693ec7fc0e5cdf31a520fdc32cf709666bb3d39b998425228a73ce0ffdb1b","observation_id":"ac824dd8-af13-4d4c-b374-89a17498e7bd","resolution":{"observed_at":"2026-08-09T22:01:09.455751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.439437Z","title":null,"venue":null,"work_id":"876ec696-de00-43cd-827d-72c5c4cfc446","year":2023},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.383552Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:d3cbc367e210fcc1900c20ff3c92a8bc0f2f86df79bf68c59de954c8efd9956a","observation_id":"0d8cd61f-c75e-4ae2-a8a9-e15ec9511bea","resolution":{"observed_at":"2026-08-09T22:01:09.443661Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.426944Z","title":"Quantum image processing and its application to edge detection: theory and experiment,","venue":null,"work_id":"5946b978-930c-415a-bb08-f084883be01f","year":2017},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.386716Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:025df4d32dddb55d4aacdbcb9466227f1dac48ac093001dadd1e522d844a3cab","observation_id":"cccb1b1c-3839-40c3-85f3-f6f995003ded","resolution":{"observed_at":"2026-08-09T22:01:09.431595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.411955Z","title":"Physics-informed computer vision: A review and perspectives,","venue":null,"work_id":"e2d3a33a-8f16-422c-bd97-af3046bc64e3","year":2024},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.389960Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:0851e3819ac60fbf216f02f56853965d18bdd39467475e1b2b89a9251126257d","observation_id":"0b3c00ea-b5cb-4509-b42f-eb780f998004","resolution":{"observed_at":"2026-08-09T22:01:09.416087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.398511Z","title":"WAVE - BASED SIGNAL SECURITY AND PRIVACY STUDIES USING AUTOMATIC HIGH -BIT-RATE OPTICAL COMMUNICATIONS WITH QUANTUM CRYPTOGRAPHIC,","venue":null,"work_id":"ca2fcbd7-afa5-432a-af6c-6ff14fe26fb5","year":2023},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.393663Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:96e6e5255fa03864739626b81ef1bfceafbbff3ecef32a53b69d7ea58bbc44b4","observation_id":"13eea6cc-47f3-4c4f-9b53-71e1a013695e","resolution":{"observed_at":"2026-08-09T22:01:09.403338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.384673Z","title":"Attention-driven active sensing with hybrid neural network for environmental field mapping,","venue":null,"work_id":"a9e97487-569e-4b75-9479-5dfb07563492","year":2021},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.397127Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:d22916fa4fda169fb954408f316b3e1fb02e42ed65db2aedba3e80217dfb34de","observation_id":"9f809a73-e9b6-465f-8254-5cfd34ca3979","resolution":{"observed_at":"2026-08-09T22:01:09.389875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.371449Z","title":"Multi -scale spatial context -based semantic edge detection,","venue":null,"work_id":"2e817ea2-714f-42cb-8238-71d504af60da","year":2020},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.400344Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:ddcbf14669c32797cef4fea27e686eefcc546f02318e627b6a618711e757b639","observation_id":"575e92c7-d5eb-4345-aa4e-e95bd3b3a758","resolution":{"observed_at":"2026-08-09T22:01:09.375895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.359449Z","title":"Edge preserving and multi -scale contextual neural network for salient object detection,","venue":null,"work_id":"57fb2d8e-0006-4b54-980a-cf6659aa7723","year":2017},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.404067Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:9088eddbbe8899c417f40539a1b38fb5a39f57aad1fd389d9707bf1f42db68b7","observation_id":"b7e9dd10-45f5-494c-92b2-3cfe0b4f21a0","resolution":{"observed_at":"2026-08-09T22:01:09.363402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:08.408046Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.408046Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:6abce85aae6dd70c24d6ab3aad7039f61e7d08aa870c65c3ede95ae31fc16e60","observation_id":"d5ad368d-33d6-46fd-bfb9-9480b9fb062a","resolution":{"observed_at":"2026-08-09T22:01:08.408046Z","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":"2026-08-09T22:01:09.340590Z","title":"A Survey of Image Translation Based on Conditional Generative Adversarial Networks,","venue":null,"work_id":"adf4e927-970c-44e5-b42c-981bef632613","year":2024},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.411536Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:12c3f998e4f2951ddf6b6d4c373c2b82f2a24e67199d87abd8e305a28ea66119","observation_id":"fe6e4188-51e5-4dde-bb50-228aee115cbf","resolution":{"observed_at":"2026-08-09T22:01:09.344717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.330048Z","title":null,"venue":null,"work_id":"869d9f69-bcda-4f8e-98fc-7b08c50163fe","year":2023},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.414886Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:2b2539f06654c5d2fac0607c076bc38b0fd1f16b99e6681659e14977ee3979dd","observation_id":"accfa8fd-ee30-4f87-b32b-880e9c2b5ad7","resolution":{"observed_at":"2026-08-09T22:01:09.333590Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.319104Z","title":"Eatder: Edge -assisted adaptive transformer detector for remote sensing change detection,","venue":null,"work_id":"6cd589cc-6a9d-424a-8f3f-c6050debc86c","year":2023},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.418462Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:03f88a996ce21c752c653dff288926d7eeb08314c3f9d563696bae6836b6063e","observation_id":"9cad6463-3587-4d7f-9cdc-2e6dc05afef4","resolution":{"observed_at":"2026-08-09T22:01:09.323104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.307663Z","title":"GAN -FM: Infrared and visible image fusion using GAN with full-scale skip connection and dual Markovian discriminators,","venue":null,"work_id":"a8bb3ead-a3d0-4b3d-ac45-5266cfe1ecfe","year":2021},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.421819Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:2a6d4af1a88969f956db4aac6410a65724977a84e916e9ea233d4be0fff9aa9b","observation_id":"89f2539d-fa69-44ce-a5b2-6d66fa648945","resolution":{"observed_at":"2026-08-09T22:01:09.311934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.296646Z","title":"Quantum -inspired computational imaging,","venue":null,"work_id":"2e65cff0-3e95-4067-a139-f1f41cc49a2c","year":1979},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.425564Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:25b5bbb0dfc2d87aa50371c13226b584e50cb46b13400f76e0735419daafbd60","observation_id":"e5bb8451-0e0e-4bc0-94e1-549b4090b97a","resolution":{"observed_at":"2026-08-09T22:01:09.300600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.285189Z","title":"A nobel hybrid approach for edge detection,","venue":null,"work_id":"8d956df5-5b52-4fcb-81d0-cfc813720a00","year":2013},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.429353Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:78d7076c634325e3dd343d35109d989439763076aee8d1a797d6a2815076f32b","observation_id":"5a55a32f-310b-490b-ba39-e6fb16e70e27","resolution":{"observed_at":"2026-08-09T22:01:09.289074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.273367Z","title":"Injected infrared and visible image fusion via l_ {1} decomposition model and guided filtering,","venue":null,"work_id":"19feb602-ec35-49fa-baa4-79244ade1502","year":2022},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.433073Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:804642a9e8d06b0b39be8200a6c13c1ea5a94710365ce0743f85a1fc645caa27","observation_id":"17075283-7322-42de-91fd-768e8923eb89","resolution":{"observed_at":"2026-08-09T22:01:09.277353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.262589Z","title":"SMFuse: Multi - focus image fusion via self -supervised mask - optimization,","venue":null,"work_id":"12452235-97ab-453a-b885-ac25f15410b5","year":2021},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.436497Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:1fd14644ff766007378b3f91689b0cf2984c93a792a32990a8e0d0dba2c5f5bf","observation_id":"f37d8bcd-4b8b-4f8b-bfe7-a50bf7b0a59d","resolution":{"observed_at":"2026-08-09T22:01:09.266472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.251903Z","title":"Quantum inspired approach for denoising with application to medical imaging,","venue":null,"work_id":"5ac1d261-7cf1-47f8-978e-c7210bd18d0a","year":2024},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.440425Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:ff1d0c5edf803583e722c750ab4d03ed285a33a9ca8cfce0b597482982d11533","observation_id":"bc942351-421e-4087-b53e-df9a3ab5683b","resolution":{"observed_at":"2026-08-09T22:01:09.255660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.241665Z","title":"An improved quantum -inspired differential evolution algorithm for deep belief network,","venue":null,"work_id":"c2ab3aeb-b63e-4de0-ba50-b6d80de19d94","year":2020},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.444128Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:d9081586cdea31a9a63b39d1909b23cc23b2fb1b3b6fa63dc3de5aecf8e84b2d","observation_id":"debc91ba-1f6b-4746-a265-6bde9c7ce25b","resolution":{"observed_at":"2026-08-09T22:01:09.245106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.2918","last_updated":"2014-09-09T23:22:56Z","snapshot_observed_at":"2026-08-15T09:32:31.699341Z","submitted_at":"2014-09-09T23:22:56Z","title":"Quantum Edge Detection for Image Segmentation in Optical Environments","version":1},"cited_work":{"arxiv_id":"1409.2918","doi":null,"metadata_source":"pith","pith_arxiv_id":"1409.2918","snapshot_observed_at":"2026-08-09T22:01:08.751448Z","title":"Quantum Edge Detection for Image Segmentation in Optical Environments","venue":"cs.CV","work_id":"fecbf98e-0ef3-4a9e-bfb9-973273242c78","year":2014},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.472925Z"},"links":{"cited_paper":"/paper/1409.2918","citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:5983c3c4ce53dfa7cfb79126e019ec9f80aee744c36afe2eff6dd8f2f671de72","observation_id":"b7ec5b4c-8cd0-4cb3-b981-0ebf212d48ab","resolution":{"observed_at":"2026-08-09T22:01:08.755034Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00929","last_updated":"2024-05-03T05:17:21Z","snapshot_observed_at":"2026-08-16T13:56:08.837513Z","submitted_at":"2024-05-02T01:03:38Z","title":"Quantum wave packet transforms with compact frequency support","version":2},"cited_work":{"arxiv_id":"2405.00929","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.00929","snapshot_observed_at":"2026-08-09T22:01:08.736576Z","title":"Quantum wave packet transforms with compact frequency support","venue":"quant-ph","work_id":"a8c3eb12-3e58-456e-b70d-89785a6ecdb2","year":2024},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.534829Z"},"links":{"cited_paper":"/paper/2405.00929","citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:2827909bc6088912d4df03f43916444b5382fbcf2adfa45b27f98a6449be9a24","observation_id":"6bf666c9-302f-4e24-b25d-61b45a1e9811","resolution":{"observed_at":"2026-08-09T22:01:08.740535Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.231760Z","title":"A quadratic time -dependent quantum harmonic oscillator,","venue":null,"work_id":"dfa15db1-d985-4f4a-a739-9c470b5e2efa","year":2023},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.552806Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:2ec714e29af999814f36e6ca43b52c3a56e047950f20a5eb9b92ebffd4a956c0","observation_id":"1d9c91be-1414-45ae-9365-ee9a0822928a","resolution":{"observed_at":"2026-08-09T22:01:09.235182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.221440Z","title":"Quantum Image Processing: Leveraging Quantum Kernels for Enhanced Computational Efficiency and Capability,","venue":null,"work_id":"6be40a0f-e425-440e-9b53-c8347ebe2608","year":2024},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.555820Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:3dae738f88f3d4d701f8669c2cb6f434724010d4bd269d1023789d5cbcb17d52","observation_id":"dc6c2daf-55d8-4f13-96b2-2ab8f111710c","resolution":{"observed_at":"2026-08-09T22:01:09.225330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.209749Z","title":"Fast edge detection using structured forests,","venue":null,"work_id":"173a122d-6ccf-4b2d-8274-ae10ba5d66dd","year":2014},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.558851Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:db9d0a0f6dc977df17ac0171ebf4ad7ed3ca0e786af9864d335541608823821e","observation_id":"2103984b-4858-441c-9acf-a91fb8f35d0d","resolution":{"observed_at":"2026-08-09T22:01:09.213908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.198341Z","title":"Semicontour: A semi -supervised learning approach for contour detection,","venue":null,"work_id":"9a9f6fe4-5720-46d6-9048-b3960551d98a","year":2016},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.562047Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:bbfd1af1d0cb7399a3b3daefd3b9c9809194746cafcba737aa2ed819c84103f5","observation_id":"87cfdb49-b73f-4439-9a02-a00d9f8f081b","resolution":{"observed_at":"2026-08-09T22:01:09.202380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.186787Z","title":"Oriented edge forests for boundary detection,","venue":null,"work_id":"ab5d5a45-ac96-4192-ad75-720c05e08058","year":2015},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.565249Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:be08876d4671333ef24beb7bbe20ddd79fa08d5f968e971e6ae8d9ccac6d9830","observation_id":"c749df5f-3d38-4f2f-a77e-685d0e9a5237","resolution":{"observed_at":"2026-08-09T22:01:09.190893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.175758Z","title":"Richer convolutional features for edge detection,","venue":null,"work_id":"b966a631-7f87-44f4-8c63-203fb2d3838d","year":2017},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.568295Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:62e470e0bcb0756fc75630bd5456f695ecab769a6390e6eea5e9f5fe494e036e","observation_id":"04de961b-da3a-47f3-adec-58b0596c4e82","resolution":{"observed_at":"2026-08-09T22:01:09.179575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.164829Z","title":"Learning to predict crisp boundaries,","venue":null,"work_id":"44edd59f-58c2-431d-9686-daf32b1ee8ec","year":2018},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.571914Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:34609c4d15344234e4e22c8ec40a41197801eabbf512b7726a571bcd639b3761","observation_id":"c82be354-5b21-479e-b65f-a446a0a45e16","resolution":{"observed_at":"2026-08-09T22:01:09.168673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.153356Z","title":"Bi-directional cascade network for perceptual edge detection,","venue":null,"work_id":"058610bb-8975-4c64-8d64-1ab64d8a1b47","year":2019},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.576234Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:de105cb5a857dbb025849cb5db406b0b3d9381f3e0b15572a3896ab28d5a9c7e","observation_id":"961f6f30-7b9c-4f80-9ec9-f7451a626a78","resolution":{"observed_at":"2026-08-09T22:01:09.157480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.142560Z","title":"Learning deep structured multi - scale features using attention -gated crfs for contour prediction,","venue":null,"work_id":"9df482e7-a0c5-4788-9ce4-ed989602e70b","year":2017},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.579845Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:6c22c1384041dab45a9477a6b026f8f1c2a163d177ecb189628a0877143a8a9a","observation_id":"ac9bffcd-56e5-4985-91d6-02f6624849ee","resolution":{"observed_at":"2026-08-09T22:01:09.146497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.131283Z","title":"Pixel difference networks for efficient edge detection,","venue":null,"work_id":"aa4d049c-e858-49bb-9a7b-d01c45e5656f","year":2021},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.583399Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:2fcc0b72b740fbba774773eb9c7f5ffc656a8aebfdeee4621d1d5b3ddcf4b81f","observation_id":"89a654ef-9d6c-43b3-8088-bfd435c347e6","resolution":{"observed_at":"2026-08-09T22:01:09.135325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.120386Z","title":"Edter: Edge detection with transformer,","venue":null,"work_id":"973689f4-5260-4d29-a1cc-211e9e994b6f","year":2022},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.587214Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:ca29ffd1e5bc266ab2717790cf62f6f1ca53a7c68ce731e4981a7c8d1dfa2d31","observation_id":"2e9ab1bf-aa3c-4466-b708-6108d4c3a4e8","resolution":{"observed_at":"2026-08-09T22:01:09.124305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.109359Z","title":"Sledge: Sequential labeling of image edges for boundary detection,","venue":null,"work_id":"242250a6-d352-4d1e-989d-42f931510e90","year":2013},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.591018Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:20e5ff4d41ddde6b5ad2dd684b7e72ad35b2e4d30b57de7c6aefbfcd876bdf95","observation_id":"aa0e699a-1a22-4043-82a8-1b6437229458","resolution":{"observed_at":"2026-08-09T22:01:09.113289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.098159Z","title":"Perceptual organization and recognition of indoor scenes from RGB-D images,","venue":null,"work_id":"36fb8618-b5da-4c8f-86d3-5e9e7d396db0","year":2013},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.594786Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:7151c6225237948bc115126460567fafa76a54f8e2fce3674c884198352b219f","observation_id":"6030c87e-9949-4e59-ab1a-25449bde8bd2","resolution":{"observed_at":"2026-08-09T22:01:09.102013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.088550Z","title":"Sketch tokens: A learned mid -level representation for contour and object detection,","venue":null,"work_id":"124ee0d9-8fe8-44ed-8b10-4343a11d2b84","year":2013},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.598284Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:1b224987ad5fe91f5d9b78f7f30310251cfaef4b7aa58807d8a990131187431e","observation_id":"bbffcca8-0e9a-4b37-9ea2-b301a0186f5b","resolution":{"observed_at":"2026-08-09T22:01:09.091775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.078995Z","title":"Multiscale combinatorial grouping for image segmentation and object proposal generation,","venue":null,"work_id":"caad5a80-ea22-4b98-adb9-bece317c988a","year":2016},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.601952Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:2787de324338a733acbbe6132915ec08ca774cbfd94c52480c33467348489373","observation_id":"7d59ddcf-1c84-492a-b470-e06a231f6d84","resolution":{"observed_at":"2026-08-09T22:01:09.082235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1202.3708","last_updated":"2012-02-14T16:41:17Z","snapshot_observed_at":"2026-08-15T04:19:19.509726Z","submitted_at":"2012-02-14T16:41:17Z","title":"Smoothing Proximal Gradient Method for General Structured Sparse Learning","version":1},"cited_work":{"arxiv_id":"1202.3708","doi":null,"metadata_source":"pith","pith_arxiv_id":"1202.3708","snapshot_observed_at":"2026-08-09T22:01:08.718412Z","title":"Smoothing Proximal Gradient Method for General Structured Sparse Learning","venue":"cs.LG","work_id":"0fb5ae19-08b4-4fd8-aef1-43c6489b96a8","year":2012},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.605910Z"},"links":{"cited_paper":"/paper/1202.3708","citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:e2545e76c045b09fb502133d60766a53f34270d482ad801715ff0c8273b42752","observation_id":"97f91aae-4d8c-4369-b92a-1d28ad7519ad","resolution":{"observed_at":"2026-08-09T22:01:08.724540Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.069052Z","title":"Visual boundary prediction: A deep neural prediction network and quality dissection,","venue":null,"work_id":"f30b423b-b500-479c-add8-fd018476baa9","year":2014},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.610120Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:3bd19455e6e0dfc4ac7386e87c6e5801b25fdb696bcb0e886339817070481ac0","observation_id":"9c312d65-4720-431b-8a2d-6b606d86eb77","resolution":{"observed_at":"2026-08-09T22:01:09.072487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.058549Z","title":"Crisp boundary detection using pointwise mutual information,","venue":null,"work_id":"b3308922-bc88-4dc7-b086-702c2b7f48a0","year":2014},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.614034Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:3275a3fce72105c83c442b926c700f08971a40161f50d26535f2b14825b6ae51","observation_id":"5c4fb815-09a6-4492-9839-7b97cc56264c","resolution":{"observed_at":"2026-08-09T22:01:09.062330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1504.01989","last_updated":"2015-04-08T14:44:20Z","snapshot_observed_at":"2026-08-14T22:53:12.827625Z","submitted_at":"2015-04-08T14:44:20Z","title":"Pixel-wise Deep Learning for Contour Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1504.01989","snapshot_observed_at":"2026-08-09T22:01:08.618311Z","title":"Pixel -wise deep learning for contour detection,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.618311Z"},"links":{"cited_paper":"/paper/1504.01989","citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:970de4fd7966b974c76a1d95cf87fff16b3dae59b582ceb15ca12728f2a83bbc","observation_id":"80ea124d-1187-49b7-8c87-65b1abda5b6c","resolution":{"observed_at":"2026-08-09T22:01:08.618311Z","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":"2026-08-09T22:01:09.046673Z","title":"Segmenting natural images with the least effort as humans.,","venue":null,"work_id":"88045ad6-b3aa-4432-a661-7bece5393b90","year":2015},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.622621Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:37a16db3b0816ae4f0dbf4419a8e6fdaa33ee9d2503e1e02cfd7d04cada1a041","observation_id":"f93968f5-6a2f-4033-86e5-15df2d177e51","resolution":{"observed_at":"2026-08-09T22:01:09.051420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.034984Z","title":"Deepcontour: A deep convolutional feature learned by positive -sharing loss for contour detection,","venue":null,"work_id":"51dc2a50-686b-41c1-b249-5abb9439b6f5","year":2015},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.626643Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:5a9019a48a49be103c66ae56f273650eadb6e8d50547c13a737d9bdc4c398fc8","observation_id":"d79c0166-9018-4859-8d11-e2210e89c51e","resolution":{"observed_at":"2026-08-09T22:01:09.039137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.023294Z","title":"Object contour detection with a fully convolutional encoder-decoder network,","venue":null,"work_id":"3562e2c4-9b3d-41df-af17-460fcaaee3bc","year":2016},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.630485Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:912239388b9b79e81330bf23b02c4bbf9abaeb1bc8df0ad00931b79e6cf5d214","observation_id":"7c8c152e-5724-44d3-94d9-9548774bd416","resolution":{"observed_at":"2026-08-09T22:01:09.027406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:09.010021Z","title":"-fields: Neural network nearest neighbor fields for image transforms,","venue":null,"work_id":"b38851c8-5bd9-486d-9b4b-55496a8cefe8","year":2014},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.634273Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:63747f02a3976ea65f3a3d6f518ef6492657882fca7e89caad0a39cdcd2a1c11","observation_id":"5ffb7d8c-b5b1-4a03-8d4d-be4cd604ee1e","resolution":{"observed_at":"2026-08-09T22:01:09.014246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:08.996343Z","title":"Fined: Fast inference network for edge detection,","venue":null,"work_id":"0499e8a5-1757-4c4d-a0ac-b2c0b9cca3e0","year":2021},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.638359Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:caa8d8dc916f0d5994e602658349d51472121f70d91dc8025c051d5d93bbde65","observation_id":"5ea335a2-ebdd-4583-befa-0ab5ec4d460e","resolution":{"observed_at":"2026-08-09T22:01:09.001045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:08.982567Z","title":"Learning relaxed deep supervision for better edge detection,","venue":null,"work_id":"fe9a7fd4-acca-4e2c-bd25-a0ca7d2b6eff","year":2016},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.641999Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:37dcf4ca00e484a30694e871506a91437285cf917e4f96c20c8d23742154ea88","observation_id":"85222b68-d2e2-4263-ab1a-982dc3957c93","resolution":{"observed_at":"2026-08-09T22:01:08.987155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:08.969789Z","title":"Convolutional oriented boundaries,","venue":null,"work_id":"e03b7aa1-d9b0-4bc9-a365-b5304fb5a5e3","year":2016},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.645624Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:1edbb99ee2265fe576c6b0d8d13a7adc957e6472b1f46f958ef12b58eeb4b6a0","observation_id":"11f51ec6-d3cf-4192-aec3-a56679dae223","resolution":{"observed_at":"2026-08-09T22:01:08.973766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:08.957798Z","title":"Rindnet: Edge detection for discontinuity in reflectance, illumination, normal and depth,","venue":null,"work_id":"df6f27c9-508c-4ddf-9d1c-659d2e52b824","year":2021},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.649309Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:4418e33213df5ba5dca58543ab626b52a964cdbeb848b7a98d8b9bbf70554608","observation_id":"11f0697c-2325-4517-b554-194a4878f123","resolution":{"observed_at":"2026-08-09T22:01:08.962046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:08.945726Z","title":"Deep structural contour detection,","venue":null,"work_id":"ca2b0372-323f-41fe-9ec9-696590e2cd4e","year":2020},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.652989Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:3369a8f585bad435d8ab3941eff123be1ccac7afc5827a3e16aef8e0ee5f6918","observation_id":"4f60a1f0-e4a4-4c05-aac2-e0d7c78d7b11","resolution":{"observed_at":"2026-08-09T22:01:08.949897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:08.934142Z","title":"Object contour and edge detection with refinecontournet,","venue":null,"work_id":"6f700a80-6e51-42ac-8a9d-ec4deac8a1de","year":2019},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.656628Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:70718aa4b6352b9c6a5cd0802b5ac8468e5370d669d39b2dfc278c44c6c0a72b","observation_id":"c7eea8c7-4c36-439c-9fd0-921539e0d4e0","resolution":{"observed_at":"2026-08-09T22:01:08.938130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T22:01:08.922153Z","title":"Multilevel edge features guided network for image denoising,","venue":null,"work_id":"a4ae4950-4a79-438f-9bbc-f1c29b594dac","year":2020},"citing_paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-09T22:01:08.660297Z"},"links":{"citing_paper":"/paper/2501.18929"},"observation_digest":"sha256:c6c4035ff70064897588d96f5a8a7480795080513957785e581ac97bb8c69015","observation_id":"6de199da-d90c-4f3e-84c6-9db0f34524e7","resolution":{"observed_at":"2026-08-09T22:01:08.926306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.18929","last_updated":"2025-01-31T07:24:38Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T22:27:08.119125Z","submitted_at":"2025-01-31T07:24:38Z","title":"Training-free Quantum-Inspired Image Edge Extraction Method"},"reference_resolution":{"displayed":74,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":9,"verified_exact":3,"verified_fuzzy":61},"total_outbound_references":74},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2501.18929."}