{"as_of":"2026-08-08T04:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0e98adee176b516c409ebe69fd672b86c6e45b4e0b9b645ace231495652aece9","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:29:02.824750Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T01:18:11.157463Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-12T08:06:29.312410Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"cited_work":{"arxiv_id":"2506.24039","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.24039","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Foundation models for zero-shot segmentation of scientific images without ai-ready data","venue":null,"work_id":"57c33613-297c-4e54-b647-fc830e224047","year":2025},"citing_paper":{"arxiv_id":"2605.08396","last_updated":"2026-05-08T19:03:40Z","snapshot_observed_at":"2026-08-02T14:26:14.875317Z","submitted_at":"2026-05-08T19:03:40Z","title":"Delivering Science as a Service: Sci-Orchestra's Cloud-Native Approach to HPC","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-12T01:18:11.157463Z"},"links":{"cited_paper":"/paper/2506.24039","citing_paper":"/paper/2605.08396"},"observation_digest":"sha256:df02f584f4c72f9f43ca8e5e0885c8176efcfcf9c60cba29708d5fb25095bb1c","observation_id":"f953fd77-f3ba-4424-8869-42674750db9f","resolution":{"observed_at":"2026-05-12T08:06:29.328354Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.24039/citation-record","integrity":"/paper/2506.24039/integrity","json":"/paper/2506.24039/citation-record.json","paper":"/paper/2506.24039"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:29:09.093322Z","title":"Segment anything for microscopy","venue":null,"work_id":"385adb4d-2849-4a21-81c8-f15328dfe911","year":2025},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:28:59.418887Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:18c9be7dd7f1cc68cb4b8afe1f952ece43166a3c227f18dca331560b47467624","observation_id":"760da727-d9b4-4d0b-a4be-0a583d5aff16","resolution":{"observed_at":"2026-08-06T21:29:09.206486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:08.852871Z","title":"Emerging properties in self- supervised vision transformers","venue":null,"work_id":"eb0a9ae7-597d-4433-98da-403efef6f751","year":2021},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:28:59.502241Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:120db7e268fc1bf0e17f4121e68f880b0a41b2876f0e15ba14671b5f2d621652","observation_id":"ed1eec7d-edd0-42f6-a515-ffacfbcdbec2","resolution":{"observed_at":"2026-08-06T21:29:08.965702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:08.545867Z","title":"Carpenter, Thouis R","venue":null,"work_id":"473079af-1b07-43d0-929e-75d2890eec54","year":2006},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:28:59.605897Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:515c2582477d74668ad1fe6b2b984930e5a9033088f2714785f5b7d0e4d7f2f3","observation_id":"818ca449-fd51-433e-8b39-9c5efe32374d","resolution":{"observed_at":"2026-08-06T21:29:08.698025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:08.274282Z","title":"Lienkamp, Thomas Brox, and Olaf Ronneberger","venue":null,"work_id":"061d0e5f-6549-4241-96cb-ff4615b4c32f","year":2016},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:28:59.724407Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:05767e8cf1fe3dcfe523a7eba4446e0fa5a906db3766981faca765fd260de5ff","observation_id":"57c81d51-c1dd-4421-99d7-fec9d9f18824","resolution":{"observed_at":"2026-08-06T21:29:08.395624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:08.010560Z","title":"Measures of the amount of ecologic as- sociation between species","venue":null,"work_id":"0fc935a3-4546-4003-91bd-680419d1dc0d","year":1945},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:28:59.848864Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:81db80722a8b7c2bf443743b1db0533f7279a4b1c84652eea4a87448f81982ea","observation_id":"b5d7bda4-8d51-44a8-9b23-854296ae6e77","resolution":{"observed_at":"2026-08-06T21:29:08.158911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:07.757159Z","title":"The pascal visual object classes (voc) challenge","venue":null,"work_id":"5e8fd47c-e438-44cc-b732-06a9c064953b","year":2010},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:00.020033Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:a41ebf1dc18dd3fd95b54f743edc945fdb85eb02f9a98b21d280a76e152f1f47","observation_id":"99a1e18b-a48f-4b55-8632-10b1cceea941","resolution":{"observed_at":"2026-08-06T21:29:07.897053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:07.506549Z","title":"Achieving the hydrogen shot: Interrogating ionomer interfaces","venue":null,"work_id":"b94843b2-09c8-47d0-99ca-2c406a48fb66","year":2025},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:00.161075Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:f702f5e7ce14ae221a4d52e2e83f966e805cc1b69aff456b9f113aa94ed82940","observation_id":"5699695b-6e22-4cc2-892c-df318dc57328","resolution":{"observed_at":"2026-08-06T21:29:07.639622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:07.272940Z","title":"Deep learning analysis on microscopic imag- ing in materials science","venue":null,"work_id":"c77bbca8-84ad-45ac-b286-e6233ef41382","year":2020},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:00.320094Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:b9171eb933f668fcd4eb9e1dce3830dbd0a8244d8d64021197e7e147e0955209","observation_id":"dcf72ca6-863b-45cd-a54f-932a03bb1327","resolution":{"observed_at":"2026-08-06T21:29:07.360617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:07.008846Z","title":"VISTA3D: A Unified Segmenta- tion Foundation Model For 3D Medical Imaging","venue":null,"work_id":"829645bd-d21b-465c-804c-aa66842668ee","year":2025},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:00.472019Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:d1fbeb7d7788dd18b6e09c28bfa6d44bce125b53f20103c5c0a081b51e10986b","observation_id":"5bb08689-1f96-403d-b57d-3b2658344c61","resolution":{"observed_at":"2026-08-06T21:29:07.132275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:06.733837Z","title":"Data readiness for ai: A 360-degree survey","venue":null,"work_id":"75179fe3-bbff-4b1b-8a32-8a6137e50cf9","year":2025},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:00.560049Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:9c0cae76db6e19cf7941bb04a6aa6a15e72495a3bec12aeeb382cb57d2fb576e","observation_id":"eb22666f-f30f-4012-b2b0-d55abfa949a0","resolution":{"observed_at":"2026-08-06T21:29:06.870256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:06.487539Z","title":"Referitgame: Referring to objects in photographs of natural scenes","venue":null,"work_id":"e53e6f0e-9ed4-4bbf-ae1c-1a10fac1d3fc","year":2014},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:00.677817Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:d9cd524ee5860f818bdcc1d0edfff72446720dcae6407d88d6451dd7f3ee61e1","observation_id":"6d66a785-94cb-4f7d-afdf-d262ea0a95dc","resolution":{"observed_at":"2026-08-06T21:29:06.644003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:06.228176Z","title":"Segment anything","venue":null,"work_id":"d0a8307a-cbf0-4e90-bb11-7d921cf6102d","year":2023},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:00.759828Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:b6b2601a1a96676e1537faa60e533904cdf0a1d96411bf867d6216d4494f515b","observation_id":"b95a0afb-92f2-4760-a5f1-0ea9568eeeb5","resolution":{"observed_at":"2026-08-06T21:29:06.366793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:06.005233Z","title":"Computer visualization of three-dimensional image data using imod","venue":null,"work_id":"cd0be1f0-5831-4c19-beb9-db54bca99b36","year":1996},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:00.860596Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:b9de5af9b7452a17d7fecfabc027f404bc57173eae547699fe04e3e2d784e6c3","observation_id":"8953d258-6011-45cb-b50d-d91358910df8","resolution":{"observed_at":"2026-08-06T21:29:06.116158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:05.717349Z","title":"Understanding structure differences of irid- ium oxides depends on loading in proton exchange membrane electrolyzers","venue":null,"work_id":"a48e833e-bd3e-4ad5-b68d-9368b9ca959e","year":2024},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:00.940689Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:2ea8063ae017ec50f2d0b1da2f246bc186c4de2fdd51920d2c3307995ed40d9e","observation_id":"f05350a9-d2d8-46e3-bd06-4d4a7d7b2536","resolution":{"observed_at":"2026-08-06T21:29:05.850739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:05.500161Z","title":"Brickdl: Graph- level optimizations for dnns with fine-grained data blocking on gpus","venue":null,"work_id":"95d34550-78e8-4046-979c-7d941fd9e322","year":2024},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:01.047863Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:ec0fb4f4c320e55baa6f7c7700c29a91d76180419031c1dc68e70d3f4a5d4b90","observation_id":"e042354b-06c7-492a-82cf-001e1b627a40","resolution":{"observed_at":"2026-08-06T21:29:05.594529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:05.247293Z","title":"Grounding dino: Mar- rying dino with grounded pre-training for open-set object detection","venue":null,"work_id":"e8e40dc8-7612-4a8e-a53a-9062772f3a8d","year":2024},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:01.213074Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:1ecca1b57b3a76f80962f899726a84c77e4390d209453ac374e76583d1e507a9","observation_id":"86b8710e-b5e9-4197-b8c3-20fba41e559c","resolution":{"observed_at":"2026-08-06T21:29:05.402858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10003","last_updated":"2022-03-30T15:42:46Z","snapshot_observed_at":"2026-07-06T12:20:15.645829Z","submitted_at":"2021-12-18T21:27:19Z","title":"Image Segmentation Using Text and Image Prompts","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10003","snapshot_observed_at":"2026-08-06T21:29:01.323199Z","title":"Image seg- mentation using text and image prompts","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:01.323199Z"},"links":{"cited_paper":"/paper/2112.10003","citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:ae33e70cf2cb1a43cc0fad960e3e1ab0687e967718013fede9c524d709b830b9","observation_id":"9392f639-09cf-4a10-bd04-f01252889e86","resolution":{"observed_at":"2026-08-06T21:29:01.323199Z","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":"2026-08-06T21:29:04.929451Z","title":"Segment anything in medical images","venue":null,"work_id":"535bbc96-9aff-4795-b3a5-50078f797d31","year":2024},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:01.461162Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:88ea57b1e32d1d0ceaca7d8b2cf789abe5edeb516a77917f6dcf389f518b804f","observation_id":"01a7f6ae-ea98-40cf-9ab0-a80f451e19fa","resolution":{"observed_at":"2026-08-06T21:29:05.073493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:04.639324Z","title":"Mazurowski, Haoyu Dong, Han Gu, Jichen Yang, Nicholas Saha, and Jiarui Luo","venue":null,"work_id":"38a2236e-4895-439a-a9bf-b4d4544d1444","year":2023},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:01.597284Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:b0002fa3c90978d05daface28e4cc6b76bb00d8a7e1c3b00769082c5428be2d6","observation_id":"834ac26f-f99e-4939-b516-9a536870b966","resolution":{"observed_at":"2026-08-06T21:29:04.772444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00714","snapshot_observed_at":"2026-08-06T21:29:01.664181Z","title":"Sam 2: Segment anything in images and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:01.664181Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:e9b5bf2f9b22488a3db05e6b4b24ae00bb7d9c3a7b7b82b54ffcc429f153441b","observation_id":"d388b154-e88b-4acd-beed-9ecc58d642ca","resolution":{"observed_at":"2026-08-06T21:29:01.664181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14159","last_updated":"2024-01-25T13:12:09Z","snapshot_observed_at":"2026-07-06T17:20:25.138890Z","submitted_at":"2024-01-25T13:12:09Z","title":"Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.14159","snapshot_observed_at":"2026-08-06T21:29:01.771327Z","title":"Grounded sam: As- sembling open-world models for diverse visual tasks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:01.771327Z"},"links":{"cited_paper":"/paper/2401.14159","citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:546b49904f53cce32bf2644984f5cdcbbcec26ffb0073e2a90efd107745b4b0e","observation_id":"30d7973c-0f65-41d5-b47b-af3ea64f52ca","resolution":{"observed_at":"2026-08-06T21:29:01.771327Z","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":"2026-08-06T21:29:04.362187Z","title":"Nih image to imagej: 25 years of image analysis","venue":null,"work_id":"e47a1d97-d6c5-4f7a-a7f4-d5b00ca0f4a2","year":2012},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:01.913111Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:92d0db631b33d2e3d2275b19f9dc315a7daf314d842b8cea023fe0d8d3c2a401","observation_id":"8432514c-eadf-4237-a71e-8192915d25e2","resolution":{"observed_at":"2026-08-06T21:29:04.502178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.15305","last_updated":"2024-08-27T15:59:26Z","snapshot_observed_at":"2026-07-06T19:06:45.969497Z","submitted_at":"2024-08-27T15:59:26Z","title":"Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis","version":1},"cited_work":{"arxiv_id":"2408.15305","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.15305","snapshot_observed_at":"2026-08-06T21:29:03.318988Z","title":"Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis","venue":"cs.LG","work_id":"4c515548-2eda-414e-a4f5-6b8d9f229999","year":2024},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:02.060150Z"},"links":{"cited_paper":"/paper/2408.15305","citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:8b02ed1043490de6da91d1cb2b2a04466f7a9fa9ff0c507be65fd13d3ec61aa3","observation_id":"41499b59-b191-4e22-bd75-87a36ad1f361","resolution":{"observed_at":"2026-08-06T21:29:03.380734Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:04.101975Z","title":"Interactive medical image segmentation using deep learning with image-specific fine tuning","venue":null,"work_id":"101cb812-0ad1-4e70-b4cb-d8316b85a71d","year":2018},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:02.173505Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:565f90db12b8fcfdb74d11d27357cba1165161c40b05630436ab7160d9bb2c5b","observation_id":"b78cd9ae-7095-4ffc-8809-6924e1d0a0ea","resolution":{"observed_at":"2026-08-06T21:29:04.228755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:03.881123Z","title":"Deepigeos: a deep interactive geodesic frame- work for medical image segmentation","venue":null,"work_id":"becc23ba-67d3-4d60-b3b2-8728790a2d23","year":2018},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:02.271267Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:c6191e24195e34a655e702adaf486c839ddf9e246cfb645f514a1784ba2d3c24","observation_id":"545e7e6c-922f-4132-ba0c-71dcfb0af567","resolution":{"observed_at":"2026-08-06T21:29:03.995113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:29:03.560782Z","title":"Ushizima, Victor C","venue":null,"work_id":"0829edf4-37cc-4ca1-a715-b7a228e8ddac","year":2023},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:02.372342Z"},"links":{"citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:41eb19bd8b111043ed2f9717ad19c09653f32d0509aef251e21792af6fd72020","observation_id":"dd378ec7-0537-45de-9032-ef3c027ed0cd","resolution":{"observed_at":"2026-08-06T21:29:03.703917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14289","last_updated":"2023-07-01T07:26:22Z","snapshot_observed_at":"2026-07-06T15:46:29.060519Z","submitted_at":"2023-06-25T16:37:25Z","title":"Faster Segment Anything: Towards Lightweight SAM for Mobile Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.14289","snapshot_observed_at":"2026-08-06T21:29:02.487156Z","title":"Faster segment anything: Towards lightweight sam for mobile applications","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:02.487156Z"},"links":{"cited_paper":"/paper/2306.14289","citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:31f59a743d4c77249f292ee5033e14273b4e91f2e48516e75a5faad43cfa21d8","observation_id":"24d08a7b-0c8a-4350-b8b4-dc015fc8d815","resolution":{"observed_at":"2026-08-06T21:29:02.487156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12156","last_updated":"2023-06-21T10:08:29Z","snapshot_observed_at":"2026-07-06T15:45:01.961896Z","submitted_at":"2023-06-21T10:08:29Z","title":"Fast Segment Anything","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12156","snapshot_observed_at":"2026-08-06T21:29:02.654117Z","title":"Fast segment anything","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:02.654117Z"},"links":{"cited_paper":"/paper/2306.12156","citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:f8c3b5bc31c86c85f7af10ccc57cc208ac2579a5541150158ccd3114af3167bc","observation_id":"e365f2fe-1e37-435c-bb81-dfbd1172a0c6","resolution":{"observed_at":"2026-08-06T21:29:02.654117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.01620","last_updated":"2024-08-03T01:06:02Z","snapshot_observed_at":"2026-07-06T18:56:18.489052Z","submitted_at":"2024-08-03T01:06:02Z","title":"MedUHIP: Towards Human-In-the-Loop Medical Segmentation","version":1},"cited_work":{"arxiv_id":"2408.01620","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.01620","snapshot_observed_at":"2026-08-06T21:29:03.050224Z","title":"MedUHIP: Towards Human-In-the-Loop Medical Segmentation","venue":"eess.IV","work_id":"87620ca7-ce26-4f73-a086-c80e2105afc6","year":2024},"citing_paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:02.824750Z"},"links":{"cited_paper":"/paper/2408.01620","citing_paper":"/paper/2506.24039"},"observation_digest":"sha256:e2f2eb7a3cd47e1621554aaf92eaba17378d2d48eb440496d1abe8d02252acd2","observation_id":"3373b54d-4c69-4c27-88d2-2c97151db7ae","resolution":{"observed_at":"2026-08-06T21:29:03.151969Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.24039","last_updated":"2025-08-17T03:00:43Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T21:22:56.216592Z","submitted_at":"2025-06-30T16:45:23Z","title":"Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":2,"verified_fuzzy":22},"total_outbound_references":29},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.24039."}