{"as_of":"2026-08-21T02:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:06cbb01936a02ec02dfb0dfde611374103894beeb8af8e376f2d321fe13d9e71","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:49:20.632889Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2505.11980/citation-record","integrity":"/paper/2505.11980/integrity","json":"/paper/2505.11980/citation-record.json","paper":"/paper/2505.11980"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:20.513506Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.513506Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:52ab911171067f4dc295acdc240fac1db79c0f12caf069b348c7c89e2f3e4960","observation_id":"15b92780-256f-48f6-b9a1-3005f683b3f1","resolution":{"observed_at":"2026-08-15T20:49:20.513506Z","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":"2026-08-15T20:49:20.519080Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.519080Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:eaa4aac7f0c0b8053cbb86de997e98f3f8b186db53699f2087475f92d5fbc211","observation_id":"56d40e63-3d8d-4de0-b25d-9f48d8bcc4b3","resolution":{"observed_at":"2026-08-15T20:49:20.519080Z","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":"2026-08-15T20:49:20.525305Z","title":"D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.525305Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:44d4b7941fdf813d4babe357378ee027ff1905fdd87d2a46a4bcf513642a0469","observation_id":"1f21d19c-1cbd-460a-a001-68e88a761c90","resolution":{"observed_at":"2026-08-15T20:49:20.525305Z","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":"2026-08-15T20:49:20.529421Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.529421Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:7895f1b73d8d489e8b926a0f326f4f1b777a358a25acaa20e0671e2425fa1fe8","observation_id":"bd2fcf41-f14a-4498-81eb-1a5261973ad5","resolution":{"observed_at":"2026-08-15T20:49:20.529421Z","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":"2026-08-15T20:49:20.536634Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.536634Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:f0bc7e3b612deb6265702b895cf0e4a19d172266109eebd6a8d71f5301c62007","observation_id":"e147aba1-3742-4420-82de-e2a09a7ee9bc","resolution":{"observed_at":"2026-08-15T20:49:20.536634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.00278","last_updated":"2023-04-29T15:27:57Z","snapshot_observed_at":"2026-08-19T06:05:56.774540Z","submitted_at":"2023-04-29T15:27:57Z","title":"Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.00278","snapshot_observed_at":"2026-08-15T20:49:20.541318Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.541318Z"},"links":{"cited_paper":"/paper/2305.00278","citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:6613c540f887b15c793fb8798422272d73efabd85c0ed0fb37864799af3bb8c5","observation_id":"d31ea87f-eeb3-490c-9d6d-24dc1f66348c","resolution":{"observed_at":"2026-08-15T20:49:20.541318Z","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":"2026-08-15T20:49:20.906635Z","title":null,"venue":null,"work_id":"0132752b-ea27-4cc5-bd97-83936f8163ea","year":2017},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.546416Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:c2f5b88b3c39680d8174a4ac4b9a49df960cf4bd4210fd73f38601b6cea0bee1","observation_id":"d7657b93-1e42-4bea-aff1-3ac8d4484844","resolution":{"observed_at":"2026-08-15T20:49:20.911759Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:49:20.894169Z","title":"H.; Jia, W.; He, X.; and Kennedy, P","venue":null,"work_id":"9385798c-3742-47f6-a48c-b64ebdf74c2c","year":2019},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.550775Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:7be42748bbdc1a50c69ea99c6c19ddab1b6596665fc2dcc6992639ef87110379","observation_id":"47deaa43-8486-48c3-80e8-a0ba6da796ee","resolution":{"observed_at":"2026-08-15T20:49:20.898112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:49:20.881895Z","title":null,"venue":null,"work_id":"90f27747-6764-4898-a13a-4aeafbf8d4d5","year":2024},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.555632Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:5028521d79d9eba448818e450b4e389e734d389da16d7962d947878ba98de4d7","observation_id":"7cd0561a-4668-4f7b-9dee-292ea9ad13ed","resolution":{"observed_at":"2026-08-15T20:49:20.885964Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:49:20.869282Z","title":null,"venue":null,"work_id":"37dc0497-e777-457d-ab83-1f3aa2928a42","year":2019},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.560815Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:1bd4c81806af06fadb3728767042af145d8a8b1c557ea3e1c2d744b15f4df968","observation_id":"e992da1d-a0e7-41cb-93aa-08d7454e7188","resolution":{"observed_at":"2026-08-15T20:49:20.873209Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:49:20.856102Z","title":null,"venue":null,"work_id":"9ca443bc-a5bb-4fdd-8a13-1b6b24189df0","year":2020},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.565233Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:baac867812be13a9fda850c9e11ddb7bf099cc50e1c1546e9be05b0dd2162bdd","observation_id":"1b4a2554-3e9d-4d26-b03d-6f5572c82a61","resolution":{"observed_at":"2026-08-15T20:49:20.860931Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:49:20.844002Z","title":"V.; and Valada, A","venue":null,"work_id":"08b1dde4-1379-4175-ba9b-986825d8ba3b","year":2022},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.569044Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:a064117d6182d56ac8817998604254af7a56fb459787961e893c7a36b75568df","observation_id":"8784b8c1-3910-44a4-8dbe-dfad54c0b995","resolution":{"observed_at":"2026-08-15T20:49:20.847936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:49:20.573374Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.573374Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:f07266748f96968e2bfae5ca50fe9ed6d901bd118e260d280e01c5f88f25c88f","observation_id":"3788cfb2-b626-4595-a2f3-0cb9f239f88e","resolution":{"observed_at":"2026-08-15T20:49:20.573374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02643","last_updated":"2023-04-05T17:59:46Z","snapshot_observed_at":"2026-08-08T05:14:59.435033Z","submitted_at":"2023-04-05T17:59:46Z","title":"Segment Anything","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02643","snapshot_observed_at":"2026-08-15T20:49:20.578158Z","title":"C.; Lo, W.-Y.; Doll \\'a r, P.; and Girshick, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.578158Z"},"links":{"cited_paper":"/paper/2304.02643","citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:583a14d3a00f13ee9d8a0b0c6878228935eefd628fc808b4a81d726fda91e889","observation_id":"7c916167-2e9d-47c4-ab0a-251797c490bb","resolution":{"observed_at":"2026-08-15T20:49:20.578158Z","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":"2026-08-15T20:49:20.582650Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.582650Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:872065799e27e2bc7c2192066539dc912da143f042082ff177cc115f6df5af48","observation_id":"f0363457-6c90-4fe2-89b1-ef2f8e984d2f","resolution":{"observed_at":"2026-08-15T20:49:20.582650Z","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":"2026-08-15T20:49:20.815823Z","title":"J.; Micorek, J.; Possegger, H.; and Bischof, H","venue":null,"work_id":"8e048b87-a198-41bf-bc3c-dac2612ca03c","year":2022},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.586514Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:798af943606dddcedf29aa515c891cfbce5268bf1b93853c9722036af368a423","observation_id":"86a1a903-62b4-4999-8cdd-6b755b437358","resolution":{"observed_at":"2026-08-15T20:49:20.819938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.08207","last_updated":"2022-03-17T17:53:01Z","snapshot_observed_at":"2026-08-14T04:21:28.978034Z","submitted_at":"2021-10-15T17:08:57Z","title":"Multitask Prompted Training Enables Zero-Shot Task Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.08207","snapshot_observed_at":"2026-08-15T20:49:20.591249Z","title":"H.; Sutawika, L.; Alyafeai, Z.; Chaffin, A.; Stiegler, A.; Scao, T","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.591249Z"},"links":{"cited_paper":"/paper/2110.08207","citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:502133a3a59381036f63cdc7f3f2d1a0ab4f1a92f0aa414576570009a3bf7791","observation_id":"a440f45d-47fe-4e54-b0f5-86d4e76bb12c","resolution":{"observed_at":"2026-08-15T20:49:20.591249Z","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":"2026-08-15T20:49:20.801906Z","title":null,"venue":null,"work_id":"a1c344fb-04f2-4e79-90f4-ed1b5a3f4c56","year":2006},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.596416Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:2b808af51ea4ec49eda11eeb0e57a9f268b9cc5e79de53f7d07cd76fe5bb4f4e","observation_id":"8858e8cd-b0b5-4cef-8034-590b1aa204eb","resolution":{"observed_at":"2026-08-15T20:49:20.806204Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.10726","last_updated":"2021-03-18T17:58:01Z","snapshot_observed_at":"2026-08-16T06:30:33.794820Z","submitted_at":"2020-06-18T17:55:28Z","title":"Tent: Fully Test-time Adaptation by Entropy Minimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.10726","snapshot_observed_at":"2026-08-15T20:49:20.600722Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.600722Z"},"links":{"cited_paper":"/paper/2006.10726","citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:ee4cbc5c5061b9f776d1821fe2319b7e751b4ab31133f0f978794584c93b14ae","observation_id":"a9d7d8ae-689c-4cc9-93ff-30aee74435a9","resolution":{"observed_at":"2026-08-15T20:49:20.600722Z","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":"2026-08-15T20:49:20.787440Z","title":null,"venue":null,"work_id":"fdf49ed2-992b-4b69-9b3c-ed452e7e74cb","year":2023},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.605779Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:bc842d35c6574be12e941f44880c2e73b39348280aead32b9972d8617853c000","observation_id":"f520c754-8fde-42ed-8fba-0080d7342d11","resolution":{"observed_at":"2026-08-15T20:49:20.791803Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:49:20.772916Z","title":null,"venue":null,"work_id":"f311c0e6-577a-4fe1-a864-a3680a09a3e9","year":2023},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.610641Z"},"links":{"citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:94e9773b400206e029605c546d4390dfa61e1985a803e305c85fe6d0971208be","observation_id":"6c3fb72c-5f22-4ab3-8711-a203767e8099","resolution":{"observed_at":"2026-08-15T20:49:20.778146Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14289","last_updated":"2023-07-01T07:26:22Z","snapshot_observed_at":"2026-08-20T05:25:54.653744Z","submitted_at":"2023-06-25T16:37:25Z","title":"Faster Segment Anything: Towards Lightweight SAM for Mobile Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.14289","snapshot_observed_at":"2026-08-15T20:49:20.619520Z","title":"U.; Bae, S.-H.; Lee, S.; and Hong, C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.619520Z"},"links":{"cited_paper":"/paper/2306.14289","citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:39dd47e0c4f4ed81d1abcf2061c23253bc8f508036d724b52e7d52932bdc0c42","observation_id":"8e423060-5aef-4bc4-83b5-0c5a6a4365c3","resolution":{"observed_at":"2026-08-15T20:49:20.619520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.09579","last_updated":"2023-12-15T07:21:12Z","snapshot_observed_at":"2026-08-16T14:34:31.089538Z","submitted_at":"2023-12-15T07:21:12Z","title":"MobileSAMv2: Faster Segment Anything to Everything","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09579","snapshot_observed_at":"2026-08-15T20:49:20.624203Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.624203Z"},"links":{"cited_paper":"/paper/2312.09579","citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:f966599e7b03289a33ee3317d843df384e4559e5fa482ab1a2f9d11837838929","observation_id":"53238929-b081-4a80-b893-2a8c146c2a14","resolution":{"observed_at":"2026-08-15T20:49:20.624203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06211","last_updated":"2024-10-19T13:37:59Z","snapshot_observed_at":"2026-08-17T20:45:12.827584Z","submitted_at":"2023-05-12T07:21:59Z","title":"A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06211","snapshot_observed_at":"2026-08-15T20:49:20.628470Z","title":"D.; Zheng, S.; Li, C.; Qiao, Y.; Kang, T.; Shan, X.; Zhang, C.; Qin, C.; Rameau, F.; et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.628470Z"},"links":{"cited_paper":"/paper/2306.06211","citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:34e6abf646690e5465dc2b1d069c766bfff21c783f61a1c1f2d8d0893a0f39ec","observation_id":"cead1200-deb7-4401-b2f7-50b7e17f9d41","resolution":{"observed_at":"2026-08-15T20:49:20.628470Z","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":"2026-08-16T15:35:32.915462Z","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":"2026-08-15T20:49:20.632889Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T20:49:20.632889Z"},"links":{"cited_paper":"/paper/2305.03048","citing_paper":"/paper/2505.11980"},"observation_digest":"sha256:43ab1172e058827d40664d4bcebc29da7819866bcf7ef137efa9fc83993584e3","observation_id":"d35fa79b-6684-472a-b5b6-8474110a0d66","resolution":{"observed_at":"2026-08-15T20:49:20.632889Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.11980","last_updated":"2025-05-17T12:27:36Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T21:32:12.620730Z","submitted_at":"2025-05-17T12:27:36Z","title":"AoP-SAM: Automation of Prompts for Efficient Segmentation"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":3},"total_outbound_references":25},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.11980."}