{"as_of":"2026-08-08T17:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9c18749a361cc3deec86364348708b0187c2c8dccc0ca77c1ee4fd4dfa2d7bc8","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:48:12.327170Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.03181/citation-record","integrity":"/paper/2506.03181/integrity","json":"/paper/2506.03181/citation-record.json","paper":"/paper/2506.03181"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:19.904183Z","title":"Functional aspects of meningeal lymphatics in ageing and Alzheimer’s disease,","venue":null,"work_id":"a7ff8938-a164-49b3-9331-007db00a28a4","year":2018},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:08.980545Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:cf2b1ee6ee5c4d84dd640687edf35991560e6b02d9c1389dac42aa3f6f9061bf","observation_id":"768c08e7-aee5-439a-b541-52e3ae9bd6cd","resolution":{"observed_at":"2026-08-07T12:48:19.985546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:19.731277Z","title":"CNS lymphatic drainage and neuroinflammation are regulated by meningeal lymphatic vasculature,","venue":null,"work_id":"77d93516-6be0-4d03-8f9d-ad0a1e3a5776","year":2018},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.025642Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:c5748687ea96cea350772666f7120724f1aa14b0863d6c02af1e2983a53cc418","observation_id":"7ffb4365-791d-478f-ae80-6f979f9df32d","resolution":{"observed_at":"2026-08-07T12:48:19.816004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:19.535127Z","title":"Multiscale photoacoustic microscopy and computed to- mography,","venue":null,"work_id":"e65ff69e-6db3-43e7-b78a-75b2b2fa00cf","year":2009},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.101318Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:4793deee91512f03ab2acad87ea1951d97a849072cc7ac0d8c666370450f04a3","observation_id":"d5ce3292-60c1-49b6-b473-c7ffcf7c11e2","resolution":{"observed_at":"2026-08-07T12:48:19.625277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:19.162543Z","title":"Erratum: Universal back-projection algorithm for photoacoustic computed tomography [Phys. Rev. E71, 016706 (2005)],","venue":null,"work_id":"0782d49c-23a8-4ced-be82-1d22c08825d8","year":2005},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.200030Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:a43c865d8ae141ed6762d9e543c9325052ffaa30067334669bb9296e1ba551c1","observation_id":"a715d576-5a27-4a5e-8ceb-9598d716def1","resolution":{"observed_at":"2026-08-07T12:48:19.348823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:18.896845Z","title":"Photoacoustic microscopy visualizes glioma-induced disruptions of cortical microvas- cular structure and function,","venue":null,"work_id":"b4851ba7-cb37-4de5-a73d-ed498ad6d991","year":2022},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.272342Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:a4d9bc56a8112bbe908461fddfd94a5f8607ef81d5552ff1382e31f74eeffb8f","observation_id":"90b019f3-e096-42f5-afc7-945c1569a0a3","resolution":{"observed_at":"2026-08-07T12:48:19.019303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:18.649577Z","title":"Extended depth-of-field all- optical photoacoustic microscopy with a dual non-diffracting Bessel beam,","venue":null,"work_id":"dc4268c3-3963-4673-918c-7110a23432b7","year":2019},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.320680Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:b99f9b81f6e26023e22cd03e62e90f2482523bb8ad6dff4d5f64f86716e561b2","observation_id":"b8f343eb-3602-4447-9598-a50ac5df83eb","resolution":{"observed_at":"2026-08-07T12:48:18.725125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:18.441377Z","title":"Deep Learning-Powered Bessel-Beam Multiparametric Photoacoustic Microscopy,","venue":null,"work_id":"ec3a3229-0b8f-4306-a02f-e75bd2cdabb9","year":2022},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.438875Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:38f0345da280019146001dc640f4904711b708270274a4d7f4716ed8b861a3cc","observation_id":"f829f619-d001-4adb-89bd-64938474c6cc","resolution":{"observed_at":"2026-08-07T12:48:18.551113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:18.243485Z","title":"Optical-resolution photoacoustic microscopy with a needle-shaped beam,","venue":null,"work_id":"d0a8b4c7-09f0-4b36-9b99-d17d25a40e63","year":2023},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.510508Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:87e3a342a335c0d0ba82ff5116ab1e679d2eb6e0e6f4c7cf28b17cc04d7609aa","observation_id":"97d7998d-6651-4b86-92a3-13d7f15bde21","resolution":{"observed_at":"2026-08-07T12:48:18.324801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:18.086444Z","title":"High-speed dual-layer scanning photoacoustic microscopy using focus tunable lens modulation at resonant frequency,","venue":null,"work_id":"53734790-83ad-49f5-91b9-6e042dcb0ea0","year":2017},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.582324Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:48c1606ccf22a8fd2fb572686a16b0f460bdf65342d87b33c9269ec86de52af4","observation_id":"53273293-ccfc-4362-abc2-39db4fdef317","resolution":{"observed_at":"2026-08-07T12:48:18.168851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:17.747413Z","title":"Continuous optical zoom microscope with extended depth of field and 3D reconstruction,","venue":null,"work_id":"1bee2349-fbd8-43e7-90d3-62523079c411","year":2022},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.652688Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:bb1cfe0ccd696acd6ea505052ed9262791c75c648022b785cf6865080540f7da","observation_id":"7f5da39a-a3d5-4de4-ab39-c5faff20d721","resolution":{"observed_at":"2026-08-07T12:48:17.944898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:17.528775Z","title":"High-speed transport-of- intensity phase microscopy with an electrically tunable lens,","venue":null,"work_id":"ce757024-f27a-49aa-a12c-80f769ac3706","year":2013},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.748944Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:fe51b15891faf181616f5460e37d6fd120b995b67b10f646eead02ef054d6bdc","observation_id":"fb868f18-acdc-4e96-a695-ce76dc1a8910","resolution":{"observed_at":"2026-08-07T12:48:17.634413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:17.475626Z","title":"High-speed adaptive photoacoustic microscopy,","venue":null,"work_id":"81debe75-d93e-4189-84ab-018c93373dd2","year":2023},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.843518Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:b43a1efbdc4f42fa5a14e287dfdc8a573bbd491e0fcf7de780ada1a513275780","observation_id":"9d50f03e-f84c-4607-b8e2-909791b8169b","resolution":{"observed_at":"2026-08-07T12:48:17.521729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:17.290394Z","title":"Miniature probe for optomechanical focus-adjustable optical-resolution photoacoustic endoscopy,","venue":null,"work_id":"7686157a-fcff-45fc-943a-0653f0588a13","year":2023},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:09.946967Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:4955cfdcc910feadf6f6ef04f6ffdffdc1713a552a8f90ea95a46812fc8b4d94","observation_id":"97f46d56-c1b4-465d-ab03-94af659a3e7e","resolution":{"observed_at":"2026-08-07T12:48:17.381693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:17.086359Z","title":"Multi-focus image fusion with enhancement filtering for robust vascular quantification using photoacoustic microscopy,","venue":null,"work_id":"cc41538b-4936-40a6-8445-739174289340","year":2022},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.042171Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:2c1dd527e78234b190a0c1206260b0072de5cb7f5a120dafe30d0829b6ba5d1e","observation_id":"df903f5c-de37-4093-be04-4d8a3aae36aa","resolution":{"observed_at":"2026-08-07T12:48:17.190364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:16.933939Z","title":"Drpl: Deep regression pair learning for multi-focus image fusion,","venue":null,"work_id":"e13a07b6-23c1-4a3d-9ddc-9c1235129dc4","year":2020},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.135405Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:359c2e49747ccea196e2eeabb7075096420ad79fbdca70dc120dfb855e713b12","observation_id":"11aefa86-0d42-489c-8a01-97f569a72435","resolution":{"observed_at":"2026-08-07T12:48:16.989509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:16.686055Z","title":"Multi-focus image fusion with deep residual learning and focus property detection,","venue":null,"work_id":"2431aaeb-e0ce-45c2-97df-b5830da74922","year":2022},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.231829Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:feaac4351ede638e4220ef35e7d5e31c4a0da3bb08498c4b565c91ff74cb0203","observation_id":"0d560e84-c502-4650-9d8c-bfee4638be36","resolution":{"observed_at":"2026-08-07T12:48:16.796648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:16.467462Z","title":"Ifcnn: A general image fusion framework based on convolutional neural network,","venue":null,"work_id":"22b3d10a-7b84-4c6e-8dd2-af138afbede9","year":2020},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.302982Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:dd24cefd7e4cc912596a41d2e6c24ef8dc56aeb1eb13deb145365184ba3bcc78","observation_id":"0e8bff54-a6fd-4544-a406-3399b4b3b5da","resolution":{"observed_at":"2026-08-07T12:48:16.564762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:16.274031Z","title":"U2fusion: A unified unsupervised image fusion network,","venue":null,"work_id":"55e1fef1-1873-41e2-a1b2-759287c32e95","year":2022},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.388906Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:d9c4eaf93c43b5b30f811a1ec7c1a3e81ffeba93dd29fa4d913bcf0da0474eda","observation_id":"55a3b60a-c2a5-4366-a9fa-d3455c32d0b0","resolution":{"observed_at":"2026-08-07T12:48:16.387159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:16.118008Z","title":"Mff-gan: An unsuper- vised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion,","venue":null,"work_id":"0357a220-685f-42fd-a185-686042c79cfa","year":2021},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.457349Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:455bfa09b5b70da97194aaf60b18bc95a74d4d9272db65e9958302fc4222d2ae","observation_id":"21699700-1383-4c29-9d34-171e6822ce17","resolution":{"observed_at":"2026-08-07T12:48:16.191434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:15.926361Z","title":"Swinfusion: Cross-domain long-range learning for general image fusion via swin transformer,","venue":null,"work_id":"7e1867e8-9ae5-42bd-8341-74eccf40cc89","year":2022},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.541983Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:a7a98ae629fb77a1c1998fcae8fe576260e31f575d2e2e786bb505eda8d7323f","observation_id":"fbea9249-4c27-4135-b751-40a0c87a6906","resolution":{"observed_at":"2026-08-07T12:48:16.027769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:15.772996Z","title":"Mufusion: A general unsupervised image fusion network based on memory unit,","venue":null,"work_id":"1266f7fe-f3e8-4a52-bd89-80b688e5cec0","year":2023},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.637699Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:4cee745d778126c26b3e45acff34a0650d9fee87dd659551ede98e4988018031","observation_id":"42e24e14-43f7-4abf-b44c-cb281d770bc6","resolution":{"observed_at":"2026-08-07T12:48:15.839823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:15.602576Z","title":"Exploit the best of both end-to-end and map-based methods for multi-focus image fusion,","venue":null,"work_id":"15146b08-fe70-4398-b86e-b5d5b4f32103","year":2024},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.733207Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:ece1b5bcc0c8ec79ec728c29ba5ece30262355ed38a3f1e8edb558463aed4b91","observation_id":"5d26583d-f2a1-4040-9a4b-01a129e7be21","resolution":{"observed_at":"2026-08-07T12:48:15.655883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:15.418308Z","title":"Multi-scale weighted gradient-based fusion for multi-focus images,","venue":null,"work_id":"82007df3-0b6e-4b79-8eb5-b4a3c3054ad2","year":2014},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.819963Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:1fb5eda666c1f33c9765a985e09cf1093365d53120f5a581deabc7d496c864e5","observation_id":"5e1c000b-a7dd-4e78-a6df-fe1c991aae5e","resolution":{"observed_at":"2026-08-07T12:48:15.480975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:15.247848Z","title":"Guided filter-based multi-focus image fusion through focus region detection,","venue":null,"work_id":"95e2ad50-a265-4a53-9977-a925d9003850","year":2019},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.893735Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:2e33e932ed051a3ed38a466c4ea3656361a62547d44117d9817021a24e5858e6","observation_id":"9e8116c7-b270-4461-9fc3-f408408e3ede","resolution":{"observed_at":"2026-08-07T12:48:15.323783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:15.091174Z","title":"Multi-focus image fusion based on multi-scale gradients and image matting,","venue":null,"work_id":"37ac9079-68d9-4e82-be49-410f2f4965d8","year":2022},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:10.965828Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:f8e3b935798c32947e37bcf0e113766e833757f21765eee2657c2c55721bc4eb","observation_id":"60f68aab-4f33-423d-9138-663101ef447b","resolution":{"observed_at":"2026-08-07T12:48:15.178363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:14.906903Z","title":"A general framework for image fusion based on multi-scale transform and sparse representation,","venue":null,"work_id":"5ff7fd16-7fe8-4946-b1ae-f102bf188a1b","year":2015},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.050001Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:3143c9ef473cb497e261b0da9cc3009de1ba838968b6a378abf0c2ded6f82e3b","observation_id":"d79754e3-cf28-4f3d-97f6-0ac370a4431a","resolution":{"observed_at":"2026-08-07T12:48:14.987566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:14.728784Z","title":"Searching for mobilenetv3,","venue":null,"work_id":"15d52ee1-305e-4fe4-bb45-bae2ba7b9cc0","year":2019},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.111637Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:3398722c1f0655675def4a390428a0dbac41af541bbbce34ff0e435fe0fee488","observation_id":"fb6d2406-e34d-428f-a629-0d427dec33bf","resolution":{"observed_at":"2026-08-07T12:48:14.815609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:14.528768Z","title":"CBAM: Convolutional Block Attention Module,","venue":null,"work_id":"95ded51d-0d43-4ec1-9c2c-1fc96e4bafe2","year":2018},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.185230Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:0380b2e1710a21e4d60e85d0153846afffb675f6da078be8ad3fdf28688930a2","observation_id":"39f07583-4d82-4511-b3cd-f229daa1c6fb","resolution":{"observed_at":"2026-08-07T12:48:14.631270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:14.355506Z","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution,","venue":null,"work_id":"a9e10570-c7fb-4821-88f4-1bde4ae5abf4","year":2016},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.288640Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:2fd1d41c6f9fbdb8c8f4f3198bdc5ad93a83295a19a53324d55a82cae338a638","observation_id":"18466a88-e1fa-42b0-b0a2-51f8723bfac3","resolution":{"observed_at":"2026-08-07T12:48:14.460661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:14.167489Z","title":"Focal frequency loss for image reconstruction and synthesis,","venue":null,"work_id":"2e54d2c7-e310-4ea2-a664-cf1e0d464194","year":2021},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.374249Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:b9050c3f775e8bcb165f110d870121114c4e1474f625e7c456d5683255429c79","observation_id":"4b040123-ce2a-4265-b8dd-f3aefbd3e3ec","resolution":{"observed_at":"2026-08-07T12:48:14.242144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:13.989860Z","title":"Simultaneous photoacoustic imaging of intravascular and tissue oxygenation,","venue":null,"work_id":"eb08363d-af4e-4f66-9f7e-4115ec0a74e1","year":2019},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.463435Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:afc9a5e95df12c0f02a39e94e857cfce76d015be8e26fd1fb717088ee643a970","observation_id":"8e25f19c-42d9-4eaf-b7a1-10e7febe9499","resolution":{"observed_at":"2026-08-07T12:48:14.056624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:13.804992Z","title":"IFCNN: A general image fusion framework based on convolutional neural network,","venue":null,"work_id":"353e6752-7062-4d97-94fd-b78cdcd64f52","year":2020},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.539485Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:5a6ffff380b000f8080fc3b4fcee9e507523851f59998e8c7c36ba4b906e9d81","observation_id":"468b6ae9-0677-4792-bfd1-89987b9aafb7","resolution":{"observed_at":"2026-08-07T12:48:13.898941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:13.609912Z","title":"Deep Learning-based Multi-focus Image Fusion: A Survey and A Comparative Study,","venue":null,"work_id":"4e8cffea-2d4e-49b0-b675-9f2e28d70351","year":2021},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.650063Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:9cf480512accddf13d68b869f6f27b574a59f448aa82fedc0dc76cdd64e76ae4","observation_id":"ff9ea927-748e-4128-ae05-b104b5240b9a","resolution":{"observed_at":"2026-08-07T12:48:13.695312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:13.403747Z","title":"Multi-focus image fusion: A Survey of the state of the art,","venue":null,"work_id":"6c52d2ac-b04e-4d40-92e6-d0452329a77a","year":2020},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.736847Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:d8c7e39b8cc626fd01737a6d7952e324342d06140db2b887d536ceee0ff2b048","observation_id":"27269450-149f-4bb9-b1ff-1ee2be08420b","resolution":{"observed_at":"2026-08-07T12:48:13.522064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:13.221433Z","title":"Investigating loss functions for extreme super-resolution,","venue":null,"work_id":"28ee1752-be1c-42d8-9b74-51ae4a7e54a3","year":2020},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.842298Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:15c9e8ae48f0e23aeb143e29e09e633e011cbcd1fc44aedf0f980e1606f321ff","observation_id":"5f222743-d471-493a-8ec1-4eddb3a7949b","resolution":{"observed_at":"2026-08-07T12:48:13.291754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:13.084161Z","title":"Model-based 2.5-d decon- volution for extended depth of field in brightfield microscopy,","venue":null,"work_id":"cf5f35d8-4065-4bf2-8424-b5448a94ac82","year":2008},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:11.940776Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:3f5b4ede48e3e4557ee61f8136f21d55da7b72a59be1655408b0464467809426","observation_id":"c5e3715b-0e6d-487b-bc1f-5fd72214d0a1","resolution":{"observed_at":"2026-08-07T12:48:13.129157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:12.839639Z","title":"Activation of Ras in the Vascular Endothelium Induces Brain Vascular Malfor- mations and Hemorrhagic Stroke,","venue":null,"work_id":"d131b883-53d5-4010-b501-51ba4862f0f3","year":2018},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:12.044606Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:7456cc9e81b7cd5444796f56ae18f6ff65ad3b9433c8ecd018f0a59d4e872b58","observation_id":"28b592c8-8e74-439f-a84e-a6fa34c89178","resolution":{"observed_at":"2026-08-07T12:48:12.947980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:12.668120Z","title":"Intravital longitudinal imaging of hepatic lipid droplet accumulation in a murine model for nonalcoholic fatty liver disease,","venue":null,"work_id":"4496d504-a9bf-4498-89fd-641672873475","year":2020},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:12.126275Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:0464c7d37f0df62c6a3a5648164dd794f8720fa10718730b55b3db4523f1ebd4","observation_id":"d24bf006-cb8b-46e4-a9a3-21c6c930bf08","resolution":{"observed_at":"2026-08-07T12:48:12.721127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:12.555190Z","title":"Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy,","venue":null,"work_id":"3ec0862a-8b59-4428-adf3-f7a742834647","year":2022},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:12.226370Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:e0fefe06a50981bbf8a36855284b623374a49d187260ade7e9712ca5a0e79dd7","observation_id":"bbbda518-abd2-4219-85e5-54e17688d9b1","resolution":{"observed_at":"2026-08-07T12:48:12.607890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:48:12.416559Z","title":"Content aware multi-focus image fusion for high- magnification blood film microscopy,","venue":null,"work_id":"e7a16a27-da3c-45be-ab61-bdd48b7f0415","year":2022},"citing_paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T12:48:12.327170Z"},"links":{"citing_paper":"/paper/2506.03181"},"observation_digest":"sha256:a6d73906799a11e16b625798f692cb9c24c400c0868bfd95cae87f67cd62cd77","observation_id":"892a2e8a-9c08-4d3f-b810-93b7ef42ba0b","resolution":{"observed_at":"2026-08-07T12:48:12.471257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.03181","last_updated":"2025-05-29T15:17:52Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-07T12:41:48.984393Z","submitted_at":"2025-05-29T15:17:52Z","title":"Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":40},"total_outbound_references":40},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.03181."}