{"as_of":"2026-08-16T01:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a47f63c756c4d99e6fb99ff03ee4543f21e40f2377f085b3ee6916eae4d6d93f","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T10:10:42.899627Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2502.03501/citation-record","integrity":"/paper/2502.03501/integrity","json":"/paper/2502.03501/citation-record.json","paper":"/paper/2502.03501"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.07042","last_updated":"2024-07-18T07:58:11Z","snapshot_observed_at":"2026-08-12T23:25:38.563856Z","submitted_at":"2024-07-09T17:04:08Z","title":"ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07042","snapshot_observed_at":"2026-08-09T10:10:42.661544Z","title":"Proto- sam: One-shot medical image segmentation with founda- tional models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.661544Z"},"links":{"cited_paper":"/paper/2407.07042","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:360e0959308304e799c635499caa848ac08dcc2de0bdfa95260cf96ae41cb8aa","observation_id":"14ec6b2d-be57-49c3-88b2-d5b3453942ff","resolution":{"observed_at":"2026-08-09T10:10:42.661544Z","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":"2026-08-09T10:10:43.509320Z","title":"Segnet: A deep convolutional encoder-decoder architecture for image segmentation","venue":null,"work_id":"7ee98b0e-1beb-420a-ab8f-947ef188a698","year":2017},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.666189Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:54474569fcfeb8b64a008f7c6b699eae63b95bf682f8080bcf90b56e5fa48c00","observation_id":"442ea059-ff64-49f6-bce4-fbad1c93aa78","resolution":{"observed_at":"2026-08-09T10:10:43.513959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.499675Z","title":"Uni- verseg: Universal medical image segmentation","venue":null,"work_id":"47c25545-39a9-4dba-883e-bc0c4f30b41f","year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.670152Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:95d12675fbffe99f51c97f7518a588e2f2deb9b1d91d6d4f92b8a60343372a8a","observation_id":"e8df7f84-649a-41b7-be73-3474d5959561","resolution":{"observed_at":"2026-08-09T10:10:43.503171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.490240Z","title":"Seg- mentation by registration-enabled sam prompt engineering using five reference images","venue":null,"work_id":"07bb5bd4-a41e-417a-926f-2404853f90dd","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.674053Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:5334c8c9765031eb444d0593a008fa1dd1c6b48e64744eff4b49bf6ade035e72","observation_id":"12c0fd30-0c69-43f7-8047-8fbe67e41fc4","resolution":{"observed_at":"2026-08-09T10:10:43.493501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.480044Z","title":"Rethink- ing space-time networks with improved memory coverage for efficient video object segmentation","venue":null,"work_id":"24f7c389-5807-4190-9973-a24a8c7b3e97","year":2021},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.677611Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:985b6145293b3de0b461657d01a7f099a170118cb71e1ae53853b05a5195410e","observation_id":"620c5b8b-8d10-4f98-808e-1d6809d98dd6","resolution":{"observed_at":"2026-08-09T10:10:43.484058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08994","last_updated":"2022-12-29T07:48:59Z","snapshot_observed_at":"2026-08-13T15:17:19.742557Z","submitted_at":"2022-02-18T02:56:21Z","title":"REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08994","snapshot_observed_at":"2026-08-09T10:10:42.681478Z","title":"Refuge2 challenge: A treasure trove for multi- dimension analysis and evaluation in glaucoma screening","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.681478Z"},"links":{"cited_paper":"/paper/2202.08994","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:474e4fa29d73cf763c4642e1e476732cc61a3800ce588f8d4147bee918ab7522","observation_id":"cc499de2-d45e-4400-b5f5-8ae87d89fa43","resolution":{"observed_at":"2026-08-09T10:10:42.681478Z","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":"2026-08-09T10:10:43.470471Z","title":"Isuog practice guide- lines: intrapartum ultrasound","venue":null,"work_id":"f622b4c2-3aee-4f3e-87d3-4ccae17fed6f","year":2018},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.685247Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:58cf96a79391c0318a673d79c36576f67e578a8dd61614beeef023e158ba092c","observation_id":"22ce41c7-ba2e-443f-8aea-9ea25d32ef16","resolution":{"observed_at":"2026-08-09T10:10:43.474393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.460988Z","title":"Modeling Sequences with Structured State Spaces","venue":null,"work_id":"cff303ad-c41a-4209-bb68-495c6fa5edc2","year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.689915Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:48e77a8995b93cd2dc2203918e2a49d3abde3afa0331730221b5b35a462f1adc","observation_id":"7ede956f-622c-4252-9825-3bf62cc9ad9f","resolution":{"observed_at":"2026-08-09T10:10:43.464431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-09T10:10:42.693359Z","title":"Mamba: Linear-time sequence modeling with selective state spaces","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.693359Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:6e2d11297e5374c837c94f1440fcb2f9c40694e3fef90e8c7c6bb11afc951109","observation_id":"f1e0ed1a-96cd-41ac-9d08-761879350f04","resolution":{"observed_at":"2026-08-09T10:10:42.693359Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T10:10:42.697159Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.697159Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:608ad847e445a0f4c8954bdd353a7a235273294f174d3557caf1a79cd26c9b85","observation_id":"986b0c75-2b6c-4059-9c56-9b9b37a7f195","resolution":{"observed_at":"2026-08-09T10:10:42.697159Z","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":"2026-08-09T10:10:43.446437Z","title":"Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response","venue":null,"work_id":"86e4490f-e6b0-45f8-a5e6-fd631b47ed27","year":2000},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.701751Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:907b6792338f6380bd042e0556d060cc3254466dc289f6d85219d3a53e4056be","observation_id":"c116b31a-e311-46ef-bc7b-c8c39cfa631e","resolution":{"observed_at":"2026-08-09T10:10:43.449807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-11T08:20:29.798517Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-09T10:10:42.705469Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.705469Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:0c8ffe99ed6dd7e980481ad203ee28f2cd16bb07d5bcb6c735bcdef7472b1426","observation_id":"0e884586-eec9-4718-854b-cf93ee9ee6c8","resolution":{"observed_at":"2026-08-09T10:10:42.705469Z","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":"2026-08-09T10:10:43.436743Z","title":"nnu-net: a self-configuring method for deep learning-based biomedical image segmen- tation","venue":null,"work_id":"529cc561-372a-47b7-be39-744cd9b81681","year":2021},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.709205Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:cd2d2197f1a46de48fa2d937ffd98792d8506caf5b228fedd515677cd3764ccc","observation_id":"c9a3ccea-bd0c-43f1-ac28-8e3b8f7e4ad1","resolution":{"observed_at":"2026-08-09T10:10:43.440002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.426309Z","title":"Pubic Symphysis-Fetal Head Segmentation and Angle of Progression, 2023","venue":null,"work_id":"090c0dcd-732c-4d92-8ed8-3879dd822e81","year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.712910Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:f6f73c53a393c8552f20a425f8b14eb557ff4e417a8a51fd01d16d36a9a93b07","observation_id":"a463c361-0fbf-4c7a-8675-b1e8ba9b0459","resolution":{"observed_at":"2026-08-09T10:10:43.429922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.05667","last_updated":"2024-05-09T10:41:18Z","snapshot_observed_at":"2026-08-14T11:13:00.342679Z","submitted_at":"2024-05-09T10:41:18Z","title":"VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.05667","snapshot_observed_at":"2026-08-09T10:10:42.717492Z","title":"Vm-ddpm: Vision mamba diffusion for medical image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.717492Z"},"links":{"cited_paper":"/paper/2405.05667","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:486e171f817c7cd1a965643890c28a6aca4eeacb1a77ef2ea9a88f6c317ad367","observation_id":"17a60cbe-5be6-4987-83a4-fb58214de8da","resolution":{"observed_at":"2026-08-09T10:10:42.717492Z","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":"2026-08-09T10:10:43.416062Z","title":"Segment any- thing","venue":null,"work_id":"ad526e6a-fbdb-4d37-b653-f6094300aa36","year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.721311Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:7b369537981e51d302c20569ff70545f6b5afc5bf5387c0318fe8218ebdd7baf","observation_id":"440103db-632a-4c6a-80a7-78b6e6c91ae9","resolution":{"observed_at":"2026-08-09T10:10:43.419634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.405175Z","title":"Visual in-context prompting","venue":null,"work_id":"97076a09-f2a2-47fb-99db-8383d353cdbd","year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.724545Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:f58112bef378ce5e1ca69fa4dc6df8bb2ac0c19f8eaa168b593204d9cdf03cb1","observation_id":"9997a0a6-a13b-4247-831e-d7c92c0359c8","resolution":{"observed_at":"2026-08-09T10:10:43.409551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.395034Z","title":"Evaluation of prostate segmentation algorithms for mri: the promise12 challenge","venue":null,"work_id":"ebefba97-5f9e-4021-9b26-6bf6f076be63","year":2014},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.728586Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:4447d00bb343372600f9b3c0d9d689ca8c557c172e0129bfa2ee44a056015569","observation_id":"b8029d65-750b-4a94-b9d1-e6424b191d63","resolution":{"observed_at":"2026-08-09T10:10:43.398805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.385367Z","title":"The jnu-ifm dataset for segmenting pubic symphysis-fetal head","venue":null,"work_id":"4d88936e-3320-4908-b741-d0861699777b","year":2022},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.732402Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:6ee590044d7c2d1254a4f4e338d55e2f05a0c0d5279bfd9f19abc47e06b6c183","observation_id":"ffaf2f62-0907-4c4f-9894-c08a28baef17","resolution":{"observed_at":"2026-08-09T10:10:43.388848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.375735Z","title":"Semi-supervised medical image segmentation through dual- task consistency","venue":null,"work_id":"c75130d1-6651-46fc-b360-40c8759946e8","year":2021},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.735566Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:999e357f1e64b10ffdaaffafa82f144ff1b1d36574e52ce5abe798958e106d91","observation_id":"47fa46c0-65f2-43c1-9efd-238f470b759b","resolution":{"observed_at":"2026-08-09T10:10:43.379260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01828","last_updated":"2024-05-10T02:49:16Z","snapshot_observed_at":"2026-08-13T18:06:40.728645Z","submitted_at":"2024-05-03T03:20:37Z","title":"FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.01828","snapshot_observed_at":"2026-08-09T10:10:42.738764Z","title":"Fer-yolo-mamba: Facial expression detection and classi- fication based on selective state space","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.738764Z"},"links":{"cited_paper":"/paper/2405.01828","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:faba41e0ed2f488c110b9feae47f6743dfb389f4f36a1a6eecf33bdda1b38eb1","observation_id":"65b31dd2-233e-4611-aa88-a47fa2187992","resolution":{"observed_at":"2026-08-09T10:10:42.738764Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T10:10:42.742560Z","title":"Segment anything in medical images","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.742560Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:bb66f55bb2d6b0977902189ef9715197692c1d926c8f17e78410f025a589cdf8","observation_id":"38a464f6-6609-4d40-92b0-46430e925f4a","resolution":{"observed_at":"2026-08-09T10:10:42.742560Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04722","last_updated":"2024-01-09T18:53:20Z","snapshot_observed_at":"2026-07-06T17:13:25.341853Z","submitted_at":"2024-01-09T18:53:20Z","title":"U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04722","snapshot_observed_at":"2026-08-09T10:10:42.746727Z","title":"U-mamba: Enhancing long-range dependency for biomedical image segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.746727Z"},"links":{"cited_paper":"/paper/2401.04722","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:a2e0f5a2641e0e232c3802be3717852c2853def96d6558a88f9768edac21562e","observation_id":"dfb2bb39-cffa-4096-8ce2-1d9fa75b26fe","resolution":{"observed_at":"2026-08-09T10:10:42.746727Z","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":"2026-08-09T10:10:43.359713Z","title":"V-net: Fully convolutional neural networks for volumetric medical image segmentation","venue":null,"work_id":"18d32ab4-f958-4c68-b8f1-df1c17a292d1","year":2016},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.751385Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:499a2933c25de5294ac7bece5118aa07e8a41c9bf1915ce194034ef8cfe7eee2","observation_id":"1a38660f-b786-4a44-8f11-aec1dd6a1840","resolution":{"observed_at":"2026-08-09T10:10:43.363763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:42.754773Z","title":"Sam 2: Segment anything in images and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.754773Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:b318ab3162a706117032a9950358eaa1931a555204ab207f1fc57b87af80d156","observation_id":"01f17d5f-35d8-40ca-a679-0223f16ccafb","resolution":{"observed_at":"2026-08-09T10:10:42.754773Z","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":"2026-08-09T10:10:43.349886Z","title":"Auto- mated localisation of optic disk and fovea in retinal fundus images","venue":null,"work_id":"71e9226f-cd0f-4c69-aa42-8644ee361edf","year":2008},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.758732Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:4f925c691bb142f7964a714bb28a8508db4a4e6f89d1190eb3d057715e9a405d","observation_id":"cc97396d-21ed-4a8b-93ba-ed21a2d0797b","resolution":{"observed_at":"2026-08-09T10:10:43.353765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06370","last_updated":"2023-06-10T07:27:00Z","snapshot_observed_at":"2026-08-13T11:19:50.934273Z","submitted_at":"2023-06-10T07:27:00Z","title":"AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06370","snapshot_observed_at":"2026-08-09T10:10:42.762365Z","title":"Autosam: Adapting sam to medical images by overloading the prompt encoder","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.762365Z"},"links":{"cited_paper":"/paper/2306.06370","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:28b2b68765da8967e776da2fc950d39d015ff5d21b616af1b428e2e9cb0285ae","observation_id":"1ea2fad7-f99c-4211-ac34-278f6aeeb983","resolution":{"observed_at":"2026-08-09T10:10:42.762365Z","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":"2026-08-09T10:10:43.340535Z","title":"Vrp-sam: Sam with visual reference prompt","venue":null,"work_id":"33ce8256-2d94-4523-acbd-d09da0decc82","year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.766079Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:10682f67cca70b0ce69ea680cc2c19753947750c10e63448edbb837af39db0f3","observation_id":"a4db26bf-13a2-4827-b979-02d08e917134","resolution":{"observed_at":"2026-08-09T10:10:43.343975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.331140Z","title":"Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma","venue":null,"work_id":"757f53b2-f74f-4491-b2fb-fb3b25b20faa","year":2018},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.769725Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:e2333adaa76be4dab28319f1b1cfcf5a376e82e5e5200518f924f7cf7ee5812d","observation_id":"4071ef4a-3567-497c-b266-1c53a3428009","resolution":{"observed_at":"2026-08-09T10:10:43.334440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T10:10:42.773615Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.773615Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:e0aded117a1a4156bf0eaaf30f170fde7c98776e75d19aeed8de26e23a9a23cb","observation_id":"3f44fc3d-4dcd-4c1b-9c45-2c32d228f806","resolution":{"observed_at":"2026-08-09T10:10:42.773615Z","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":"2026-08-09T10:10:43.316936Z","title":"Deeply supervised 3d fully convolutional networks with group dilated convolution for automatic mri prostate segmentation","venue":null,"work_id":"02462459-144f-4a79-9b7b-78f3f4bef8ce","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.777167Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:1419fd847c010f757180aff279cd31655578ba230d55b03f80752572b31c2435","observation_id":"2fafebf9-ce43-4e01-b34a-4462127c9966","resolution":{"observed_at":"2026-08-09T10:10:43.320314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.307762Z","title":"Review of large vision models and visual prompt engineering","venue":null,"work_id":"bf48f647-cf8a-446e-a6bd-d97b65fa937e","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.781839Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:4fe7058ce02aa6551b5cc90978430b7ea2b4d9c7ebd2a5985722584b12f42eb2","observation_id":"895ead5c-c745-4448-a252-9cff3642445d","resolution":{"observed_at":"2026-08-09T10:10:43.310909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.298295Z","title":"Boundary and entropy-driven ad- versarial learning for fundus image segmentation","venue":null,"work_id":"7189f4d1-4679-4b65-aed6-5864813842c3","year":2019},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.785623Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:a3d94394d7e72ef259198ac90be8ac5a0b1b841d8ec6bf2b01331419294897ae","observation_id":"33ffb6b1-668d-447a-b70b-7a2151e10502","resolution":{"observed_at":"2026-08-09T10:10:43.302029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.289150Z","title":"Consistency-guided meta- learning for bootstrapping semi-supervised medical image segmentation","venue":null,"work_id":"b947b6ba-b277-4210-b5a7-0e34d2bcbee1","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.788947Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:cde136f6d910ca1bdf442571af0efe53af4c8627dabcf3b4659a42ecc7beb7c8","observation_id":"b6e40a45-53d0-4f81-83ae-0c6ddfe20bb2","resolution":{"observed_at":"2026-08-09T10:10:43.292391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.270633Z","title":"Cbam: Convolutional block attention module","venue":null,"work_id":"a2be1a3a-f61a-41fb-bb2d-e3feca59249b","year":2018},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.795949Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:630bd8aba513e38f76c4bdb782a3ce76c7519d4dfb8ee5c4ce98d3c435643e57","observation_id":"89953310-8e3c-439f-9c70-107a8fd1885b","resolution":{"observed_at":"2026-08-09T10:10:43.274055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.261644Z","title":"One-prompt to segment all med- ical images","venue":null,"work_id":"a2bfa3fd-9cdc-4cd0-b4d2-370d6581f2ce","year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.799530Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:c473562cc3891d2b46bd4a626b928c2c3cf01956a5240f9ba43a97732f438021","observation_id":"6ee6a43f-e4a3-4ac5-a717-f2745825f4c3","resolution":{"observed_at":"2026-08-09T10:10:43.265115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12620","last_updated":"2023-12-29T03:40:59Z","snapshot_observed_at":"2026-08-15T13:11:26.618780Z","submitted_at":"2023-04-25T07:34:22Z","title":"Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.12620","snapshot_observed_at":"2026-08-09T10:10:42.802795Z","title":"Medical sam adapter: Adapting seg- ment anything model for medical image segmentation.arXiv preprint arXiv:2304.12620, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.802795Z"},"links":{"cited_paper":"/paper/2304.12620","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:cc395000c64aedd3d88bfd42c846285fb154750af2b73cb263512581cbf84351","observation_id":"c5fd905f-8e00-4c57-be4c-42c5cb55db63","resolution":{"observed_at":"2026-08-09T10:10:42.802795Z","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":"2026-08-09T10:10:43.251991Z","title":"Self-prompting large vision models for few-shot medical image segmenta- tion","venue":null,"work_id":"07c22782-854b-4412-8d53-820978e147d8","year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.806351Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:a8bb7d8541a78a0fd337dd096f3755230bee49411d4041cb24516965a231ea4b","observation_id":"0eb68023-507a-4172-aad5-575612fd95a9","resolution":{"observed_at":"2026-08-09T10:10:43.255903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06400","last_updated":"2023-11-10T21:22:22Z","snapshot_observed_at":"2026-08-13T07:02:00.741817Z","submitted_at":"2023-11-10T21:22:22Z","title":"EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.06400","snapshot_observed_at":"2026-08-09T10:10:42.810240Z","title":"Eviprompt: A training-free evidential prompt generation method for segment anything model in medical images","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.810240Z"},"links":{"cited_paper":"/paper/2311.06400","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:be1992351d3efd6cf4e70f2eec837d2de29ac714907d2e79c468220798242905","observation_id":"796231c6-c561-40ed-98cf-7e06ee204137","resolution":{"observed_at":"2026-08-09T10:10:42.810240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05393","last_updated":"2024-12-28T09:34:11Z","snapshot_observed_at":"2026-08-13T03:29:13.649104Z","submitted_at":"2024-09-09T07:43:58Z","title":"TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05393","snapshot_observed_at":"2026-08-09T10:10:42.813831Z","title":"Tavp: Task-adaptive visual prompt for cross-domain few-shot segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.813831Z"},"links":{"cited_paper":"/paper/2409.05393","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:673d3979ddc487858e6b06ed8052d6ddf51570abb1b9d5a80e4a234b6a780a57","observation_id":"a9400399-fe55-42ec-883f-370a66744e76","resolution":{"observed_at":"2026-08-09T10:10:42.813831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.13785","last_updated":"2023-10-17T12:24:24Z","snapshot_observed_at":"2026-08-15T19:55:37.842390Z","submitted_at":"2023-04-26T19:05:34Z","title":"Customized Segment Anything Model for Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.13785","snapshot_observed_at":"2026-08-09T10:10:42.817574Z","title":"Customized segment any- thing model for medical image segmentation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.817574Z"},"links":{"cited_paper":"/paper/2304.13785","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:b42f4d5f8347903d0ba13b0851ab8d426b611a7fe0844fee0c97740fc07bcf59","observation_id":"a70168af-6f70-414f-833f-d7ab863a68df","resolution":{"observed_at":"2026-08-09T10:10:42.817574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03048","last_updated":"2023-10-04T01:15:21Z","snapshot_observed_at":"2026-08-15T01:16:52.363152Z","submitted_at":"2023-05-04T17:59:36Z","title":"Personalize Segment Anything Model with One Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.03048","snapshot_observed_at":"2026-08-09T10:10:42.821410Z","title":"Personalize segment anything model with one shot","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.821410Z"},"links":{"cited_paper":"/paper/2305.03048","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:1eb0177897c0e2daf511c274362f1c3566bbe38576d46ab5fe718cafec3be8da","observation_id":"30b9c05e-873b-4aa5-84df-24eee15462a8","resolution":{"observed_at":"2026-08-09T10:10:42.821410Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06378","last_updated":"2024-02-14T16:48:02Z","snapshot_observed_at":"2026-08-13T04:22:37.100873Z","submitted_at":"2024-02-09T12:54:56Z","title":"FD-Vision Mamba for Endoscopic Exposure Correction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06378","snapshot_observed_at":"2026-08-09T10:10:42.824747Z","title":"Fd-vision mamba for endoscopic exposure correction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.824747Z"},"links":{"cited_paper":"/paper/2402.06378","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:72d1e6a6f0b4b090a11730724a88e345a0023ecd6fae11ac45ca00b66249ef07","observation_id":"5cd74614-0b91-4ae3-a099-e58c105e4fc6","resolution":{"observed_at":"2026-08-09T10:10:42.824747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09417","last_updated":"2024-11-14T02:00:33Z","snapshot_observed_at":"2026-08-14T11:12:31.002605Z","submitted_at":"2024-01-17T18:56:18Z","title":"Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09417","snapshot_observed_at":"2026-08-09T10:10:42.828293Z","title":"Vision mamba: Efficient visual representation learning with bidirectional state space model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.828293Z"},"links":{"cited_paper":"/paper/2401.09417","citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:47235d8b712e07ebf22a657b773622fe5901c99c0fde9d39fb8a2284e7a15579","observation_id":"90dbf59e-6503-470b-a4ab-2209c0385b4a","resolution":{"observed_at":"2026-08-09T10:10:42.828293Z","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":"2026-08-09T10:10:43.242761Z","title":"Segment everything everywhere all at once","venue":null,"work_id":"733c38af-1acb-4242-aaa0-331240d64e73","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.832190Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:3f865d501e6eb47342b7d2c431a1238265a27d51632698c3f3788a7b538e121f","observation_id":"d388a60a-4dcd-4229-8252-a16557d382d9","resolution":{"observed_at":"2026-08-09T10:10:43.246404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.221071Z","title":"Settings for Image Dataset","venue":null,"work_id":"900bc5a7-3b72-4c0e-9650-80cdc3388090","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.839054Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:2abce4fb7b00533f6dcf57dad81bdf51880b86eaf0795c98d61dc52c426bc69b","observation_id":"3a23929f-861d-4fb5-b3b2-dfb6951340aa","resolution":{"observed_at":"2026-08-09T10:10:43.225077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.210902Z","title":null,"venue":null,"work_id":"e41fb176-921a-4245-8ff8-dcdd46b9a316","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.842664Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:40d45062de0731bea98918f73209cc0604e952d3745ac1ef013510fedb3707a0","observation_id":"79f52cd8-fc24-4152-a33d-71d6d8ebcea9","resolution":{"observed_at":"2026-08-09T10:10:43.214219Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.190102Z","title":"We select the prediction that the highest overlaps with ground truth to calculate the model’s Dice score","venue":null,"work_id":"8e5a410c-2be3-4d25-ad07-ea8dc8ca5b2d","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.849547Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:b987d29abd6e374673c9ca76a4e65d9d01eb0c17e506fa800c3b7535c67a9428","observation_id":"e22079b1-842d-4e51-94a9-66283a77b19d","resolution":{"observed_at":"2026-08-09T10:10:43.193862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.181238Z","title":null,"venue":null,"work_id":"3d23b87b-04cf-44da-969b-78edaec6134a","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.853459Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:a47d0a676ec474b1ae7f4ed9a7d5ecb4ad5170eb805c679deb2aa490841fb67e","observation_id":"f9b43eb1-6636-4532-8433-58b8e5e258fd","resolution":{"observed_at":"2026-08-09T10:10:43.184433Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.200659Z","title":null,"venue":null,"work_id":"0ba337f5-c74a-4ee0-99de-c699c66753a6","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.856759Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:143893cce9b7b1e48a89b4006f5c7dd0ac5854ca932846406171d29d9e094813","observation_id":"dd6ad7a9-39af-4778-8210-bd35482bc157","resolution":{"observed_at":"2026-08-09T10:10:43.203929Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.171356Z","title":null,"venue":null,"work_id":"02931417-6e38-4a76-adcf-617f6f50b2c7","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.860258Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:c07f208f2a303397a978b8d7756c3e81f408013279cae23983da716407bd54bb","observation_id":"16e23052-c9fd-4894-b34b-e2fabfdf2554","resolution":{"observed_at":"2026-08-09T10:10:43.175230Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.162725Z","title":null,"venue":null,"work_id":"d6c19451-c3fb-4758-831b-7b2c573a82fd","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.863530Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:7fb27b57b4862f5ca9c96865c3973782ae945025cd2d763049b05b9835614a9d","observation_id":"4f4c7126-ebf0-4862-8263-32004105916d","resolution":{"observed_at":"2026-08-09T10:10:43.165911Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.153259Z","title":"non-target","venue":null,"work_id":"0283dcdd-1757-44ff-8ca5-740e69753369","year":2000},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.866943Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:e02cebccb09165e88ea78f4cc139142a7a22a2ac06bad2e03c17627b33700fa6","observation_id":"3b4645b7-f003-4297-a63c-bce23396a0b6","resolution":{"observed_at":"2026-08-09T10:10:43.156696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.143718Z","title":null,"venue":null,"work_id":"b8d87450-30aa-4707-86fd-d39f1e08117c","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.870795Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:ce17d51de9ce07d132db74aab739c055efaa64bdc8c3ed50b5a488d052082c67","observation_id":"c5f21b20-4bbd-4f72-9712-bffdc16b909c","resolution":{"observed_at":"2026-08-09T10:10:43.146952Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.133750Z","title":"3D DSD-FCN [31] and MLB-Seg are existing SOTA models for PROMISE12 [18] dataset under fully supervised and semi-supervised settings, respectively","venue":null,"work_id":"1eb9dbaf-f908-49f6-87f6-f80656f1d926","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.874408Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:69a9c0f4f74789d139fa6124c251319392afac27ad9f82bdb0b98929c69a2723","observation_id":"039f6bfe-4901-4a6a-a789-86782e4f435a","resolution":{"observed_at":"2026-08-09T10:10:43.137265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.123852Z","title":"Given that SAM2 is pretrained on a large-scale video dataset, it was a natural choice to integrate our method into SAM2 for video segmentation","venue":null,"work_id":"2d0533a8-f609-4ff5-8b96-c0fb406eca14","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.878210Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:2cdd66a9c0a5e1cc898dac5f0f55096a6d30c53ce9d2cb008c74ce2d087e8168","observation_id":"8f301f2d-db13-447c-b237-45b52e6a88b6","resolution":{"observed_at":"2026-08-09T10:10:43.127777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.113820Z","title":"#𝐹𝑟𝑎𝑚𝑒!\"$%𝐹𝑟𝑎𝑚𝑒!","venue":null,"work_id":"55d543cb-c834-4531-b87a-248240f6591b","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.881663Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:61d2d1e70639f8cc18d94d94558560268dca0c346fa09b5ba9ddb31c6263e4bd","observation_id":"ce848969-9b69-42df-8be8-6a3abe0e0500","resolution":{"observed_at":"2026-08-09T10:10:43.117671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.103455Z","title":"For our proposed modules, we conducted ablations on CSM and CCM, visualized the effectiveness of the Selec- tive Map , and analyzed different encoder architectures within CSM","venue":null,"work_id":"a653d58a-a32a-4a37-b90a-2b4af16506d7","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.885284Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:2bd9771d5d927e20f8bdc3f987231840a6b20f87585d91f9577b69d91abb6dc9","observation_id":"07f175ae-f5d3-438b-ae2c-f5621cca7d40","resolution":{"observed_at":"2026-08-09T10:10:43.107143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.093747Z","title":null,"venue":null,"work_id":"e1b3de57-d0df-4653-ad35-13b686d16a39","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.889547Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:e2b51b091da4019c00478224279e1cf4aa1de96f48f0fd2a101ff483c78d4b03","observation_id":"2b64b74a-8d34-46e8-9da0-3ff252903975","resolution":{"observed_at":"2026-08-09T10:10:43.097275Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.083932Z","title":"The most notable improvement is on STARE-Vessel, where Dice increased by 39.3%","venue":null,"work_id":"9f888931-8b04-4890-9ca9-22d9325eb59c","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.893230Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:5726e7fbf2d1daef04aeef3a4f7078c01d3b2a9c81e70a8c528981582621270e","observation_id":"05e2e20c-5350-4dcf-a9f3-96f6612b3aec","resolution":{"observed_at":"2026-08-09T10:10:43.087244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.073112Z","title":"According to MedSAM’s supplementary mate- rials, its pretraining included FPA and REFUGE datasets","venue":null,"work_id":"e5540604-15ef-43ad-9d17-144e20f67f90","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.896417Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:f90bdaf4bc7de025090182fcc2b64cbc9dd0978986f7fc70f17ac2dea7826270","observation_id":"d6a1fa2e-45fc-4ac1-b2db-40e82a936e05","resolution":{"observed_at":"2026-08-09T10:10:43.077930Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.062294Z","title":null,"venue":null,"work_id":"451b03fe-09dc-4534-97db-ca428b05db65","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.899627Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:83e6423881ba2f8eba343116df5ee13a16996f642d1430ba9c5054a8ed67ffbc","observation_id":"1d516bd0-2fe6-47bb-b14a-8ccd57307fb5","resolution":{"observed_at":"2026-08-09T10:10:43.066375Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.279815Z","title":null,"venue":null,"work_id":"7a6fc3f5-2baf-4d77-bffe-a76f0b59ea51","year":2023},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":193,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.792607Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:7a4026697adc10247643e0525ac249300d49bd5ebc3544f864d5aef5a70d922d","observation_id":"afd7f613-9ae8-417a-9db7-196c7f074e03","resolution":{"observed_at":"2026-08-09T10:10:43.283852Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-09T10:10:43.233003Z","title":"Quantitative comparison results on four representative examples","venue":null,"work_id":"cd6bccba-a4c2-4fa8-ad2f-7897039fe43b","year":null},"citing_paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-09T10:10:42.835482Z"},"links":{"citing_paper":"/paper/2502.03501"},"observation_digest":"sha256:7dbfa30eb6969f1e42687ada96357720d7a399b7b0319b452872cf7023a220e1","observation_id":"125fdefc-2664-48dd-807c-75109c3661d3","resolution":{"observed_at":"2026-08-09T10:10:43.236506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.03501","last_updated":"2025-05-08T12:40:45Z","latest_version":3,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-13T06:49:06.841200Z","submitted_at":"2025-02-05T10:01:28Z","title":"Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":27,"verified_exact":0,"verified_fuzzy":35},"total_outbound_references":64},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2502.03501."}