{"as_of":"2026-08-23T14:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd2b62e01889c9fe0ce35973e724e92a56574aaeae7e08ddc95026509c8ec327","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:10:11.831145Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.05933/citation-record","integrity":"/paper/2501.05933/integrity","json":"/paper/2501.05933/citation-record.json","paper":"/paper/2501.05933"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:12.133785Z","title":"Prevalence and IncidenceofAge-RelatedMacularDegenerationinEurope:ASystematicReviewandMeta- Analysis","venue":null,"work_id":"f7106dbd-fbcc-44d4-a184-0852d1dfd1ad","year":2020},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.755023Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:1c01a4ce2da000403ce5f2337520aaa4c311af1a4f3e894bb8ad0b380e54edef","observation_id":"94762dba-1407-4832-862b-0708893df81d","resolution":{"observed_at":"2026-08-10T21:10:12.140095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:12.110499Z","title":"Relationship between the Distribution of Intra-Retinal Hyper-Reflective Foci and the Progression of Intermediate Age-Related Macular Degeneration","venue":null,"work_id":"d4f57477-3e8f-4d69-a126-d6143f4bf5f8","year":2023},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.761032Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:fef87371ba6418d58f687584ee0fe2b4faac4680b4d6812ef336525480a1a2d1","observation_id":"98c76d33-c77e-478d-9e53-b6997b182800","resolution":{"observed_at":"2026-08-10T21:10:12.118213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:12.086096Z","title":"IEEE J Biomed Health Inform","venue":null,"work_id":"d751f753-4702-413d-9810-bcda4830c8ce","year":2020},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.766451Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:b09a1c78921a6e4ff91d2070f09de1f6efe94bf1fe81718ba56b589229f367b1","observation_id":"64da42a5-8152-4fcd-919c-501aafdac719","resolution":{"observed_at":"2026-08-10T21:10:12.092833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:12.063283Z","title":"Weakly Supervised Anomaly Seg- mentation in Retinal OCT Images Using an Adversarial Learning Approach","venue":null,"work_id":"5882b68c-54c4-437f-871d-0a9782d7edeb","year":2021},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.773134Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:ff85e1ba15b8453ce173aee11a0d978004a0e326256274e72abc8762549a2ddd","observation_id":"43d167aa-a68b-4a69-b761-815441730bb1","resolution":{"observed_at":"2026-08-10T21:10:12.069859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:12.039119Z","title":"TSSK-Net: Weakly Supervised Biomarker Localization and Segmentation with Image-Level Annotation in Retinal OCT Images","venue":null,"work_id":"ac05c58f-57ce-455d-9cb3-0d6d06b00971","year":2023},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.778553Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:978d03382857728fd7356d0f52b1fd6d72a4950af4af0764b0c52bbbf08a8e62","observation_id":"f12a56e0-daec-4c59-952f-8469c27901ea","resolution":{"observed_at":"2026-08-10T21:10:12.046597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:12.012447Z","title":"A Foundation Model for Generalizable Disease Detection from Retinal Images","venue":null,"work_id":"0b64b5b5-8568-4b02-8f9a-ed4840bf53aa","year":2023},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.785278Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:bc2ee6f1ff9cdd17d0b1569ebdd4077328f42576988d31c89e52e0beaa03c061","observation_id":"a154f52b-5eb9-4f45-bb54-2f347a43a027","resolution":{"observed_at":"2026-08-10T21:10:12.020417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:11.988573Z","title":"Attention-Based Deep Multiple Instance Learning","venue":null,"work_id":"a56e3fdf-6969-4cba-8401-2d2fc3971fa1","year":2018},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.792003Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:a4124a09a851b5c1290bbd110e692c7dbb4227b06e07c791ce32df766b1ad4d7","observation_id":"92749d07-26a5-4f08-ba94-581bf5cd19bf","resolution":{"observed_at":"2026-08-10T21:10:11.994762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:11.969475Z","title":"On Pixel-Wise Ex- planations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation","venue":null,"work_id":"0d4ba6e1-ef7e-41e6-9faf-bb1f612aef46","year":2015},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.798223Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:56bddae739ed4c77234765367f4139fbacae928e88d5ad1c83eaf256c61ba3a3","observation_id":"0b694cc3-720d-44cd-8c66-1d79f3b3a4a1","resolution":{"observed_at":"2026-08-10T21:10:11.975128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-10T21:10:11.803957Z","title":"SAM 2: Segment Anything in Images and Videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.803957Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:04f13499171001e61f5ef4e5a00e5cb9e10e96dbd8955f2e51a32ec25ab5c7b7","observation_id":"b543045d-0073-47c7-b5ea-081cf274a3e7","resolution":{"observed_at":"2026-08-10T21:10:11.803957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.05704","last_updated":"2022-06-07T19:25:30Z","snapshot_observed_at":"2026-08-18T19:47:27.998235Z","submitted_at":"2021-04-12T17:58:56Z","title":"Escaping the Big Data Paradigm with Compact Transformers","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.05704","snapshot_observed_at":"2026-08-10T21:10:11.810218Z","title":"Escaping the Big Data Paradigm with Compact Transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.810218Z"},"links":{"cited_paper":"/paper/2104.05704","citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:83d4c137cf91589e02c28db9af93ae60b3a4f725ba33615cf607cf1bd6433b15","observation_id":"a77ef956-93ee-4558-889d-4fe3e49206ae","resolution":{"observed_at":"2026-08-10T21:10:11.810218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:11.951677Z","title":"Ophthalmology","venue":null,"work_id":"a4993092-6070-4883-b63d-715db897d253","year":2019},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.817838Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:375c9bef39e5d94f739ad6cc0d9b8578f83d536d8bd1f95d6a00f7de8175242b","observation_id":"b5522f0d-83cc-4c27-b563-35b5a3d1a36b","resolution":{"observed_at":"2026-08-10T21:10:11.957285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:11.932726Z","title":"Hyper- reflective Foci not Seen as Hyperpigmentary Abnormalities on Color Fundus Photographs in Age-Related Macular Degeneration","venue":null,"work_id":"6fbe9359-8d15-4e61-a81c-22fffddf3dde","year":2024},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.825523Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:14d5a46644aacc21b683cdcd3864cee7f08226f3220cd2da13c6d477483a29d4","observation_id":"869cd9c2-2910-4e86-b32d-1199a3239a67","resolution":{"observed_at":"2026-08-10T21:10:11.939466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:10:11.909853Z","title":"XAI for Transformers: Better Explanations through Conservative Propagation","venue":null,"work_id":"af101c84-6bea-4a6e-8052-9e344d2117b4","year":2022},"citing_paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T21:10:11.831145Z"},"links":{"citing_paper":"/paper/2501.05933"},"observation_digest":"sha256:f54f71af5b0a52ca26015423297349dc0b3c55fe08f66f63a1786b0c1e803fae","observation_id":"1e7f3063-5403-4b9d-8e14-f95d1e062941","resolution":{"observed_at":"2026-08-10T21:10:11.918325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.05933","last_updated":"2025-03-21T08:41:23Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T19:51:49.517004Z","submitted_at":"2025-01-10T12:56:18Z","title":"Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":13},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2501.05933."}