{"as_of":"2026-08-10T13:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:37a2bc6a07b7bdee7bce1118f3a1d648fe9092844eb7c1abb7363546c2ef422f","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T10:19:04.262001Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2508.00218/citation-record","integrity":"/paper/2508.00218/integrity","json":"/paper/2508.00218/citation-record.json","paper":"/paper/2508.00218"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T10:19:00.812803Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:00.812803Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:528701388d6cf31cd243615a9715f89b5fe51f2261a1bda011065e47249c85b0","observation_id":"a60351a5-2a15-403d-9726-b19e24232bea","resolution":{"observed_at":"2026-08-06T10:19:00.812803Z","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":"2026-08-06T10:19:00.905877Z","title":", \" * write output.state after.block = add.period write","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:00.905877Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:fae9620940e9fcbbe1d0b23a777337af25d97a0cb4aebd0fbe645bb42ce56717","observation_id":"5265373b-5fc6-4415-aa4d-adad06076bf6","resolution":{"observed_at":"2026-08-06T10:19:00.905877Z","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":"2026-08-06T10:19:01.000460Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:01.000460Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:23755959d996d3a8044920f4d9445d864bb4781a37013a28f3e7040cd5947cde","observation_id":"c2eda08e-2968-4ca2-8310-dd8762928d5b","resolution":{"observed_at":"2026-08-06T10:19:01.000460Z","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":"2026-08-06T10:19:09.445666Z","title":"Active learning for efficient few-shot classification","venue":null,"work_id":"feb0623a-b83b-48df-aabe-e2d91ef05153","year":2023},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:01.113483Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:f559d1032c1f7335319dcbb55c8e4b9764231cebda0fd5963e0c75cf56cf4ed1","observation_id":"762f4db3-05e1-4928-94e5-3c46051e8ce5","resolution":{"observed_at":"2026-08-06T10:19:09.615236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:09.200640Z","title":"Imagenet object localization challenge, 2018","venue":null,"work_id":"f734c6aa-11a1-4ffd-ab4d-b977a934913b","year":2018},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:01.240864Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:a9679ceed1ce1d96e685c863792a8b2e333ea4bd1a3546bb361550c777de54ec","observation_id":"06e34276-1b3f-4de6-91b0-95468a310cc7","resolution":{"observed_at":"2026-08-06T10:19:09.332941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:08.891523Z","title":"Easy—ensemble augmented-shot-y-shaped learning: State-of-the-art few-shot classification with simple components","venue":null,"work_id":"5906687c-6ddc-4708-8b91-6f1225be4188","year":2022},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:01.421900Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:f28dde7cf7ab203b355283438979e425f6d922e8b8a69ffe2f6457645b433428","observation_id":"841f611f-3387-4a85-ac43-021303df788a","resolution":{"observed_at":"2026-08-06T10:19:09.025317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:08.622761Z","title":"Move: Unsupervised movable object segmentation and detection","venue":null,"work_id":"0d30ded7-9a5e-457e-acfa-a54ef0ad49b4","year":2022},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:01.540699Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:498b326b5d94dba890cd9aea07c034cf3da5f7b823a57579e1af08d8224f7018","observation_id":"4cb3b9c2-56bf-494f-9645-13e38b77d4ff","resolution":{"observed_at":"2026-08-06T10:19:08.681311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:08.238561Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":"2bb1820f-27cc-4ce2-9b89-2f89e2addd94","year":2020},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:01.660632Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:a0c293c34533b45cd10103e152fcb0cd6f47bd8e040a649c9be494154966a621","observation_id":"a00684d1-7520-48b1-bc20-ec01c7d11ced","resolution":{"observed_at":"2026-08-06T10:19:08.391702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.04232","last_updated":"2020-01-12T16:25:06Z","snapshot_observed_at":"2026-08-07T01:22:24.475726Z","submitted_at":"2019-04-08T17:59:07Z","title":"A Closer Look at Few-shot Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.04232","snapshot_observed_at":"2026-08-06T10:19:01.825212Z","title":"A closer look at few-shot classification","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:01.825212Z"},"links":{"cited_paper":"/paper/1904.04232","citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:d46d7a90ebec9ac6bc27f60ccbe772c7c31cb48330bf44afabfe9f6ff65c8600","observation_id":"37d7db25-b16a-4518-8a15-c4161ec6fcb1","resolution":{"observed_at":"2026-08-06T10:19:01.825212Z","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":"2026-08-06T10:19:07.873458Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"5a1a87de-f13f-41d8-a246-682cb360b487","year":2021},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:01.974454Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:5373256757c60ffa0947cc0781978f2c826e689c8073981e9debcfe596f063dc","observation_id":"13df7ac3-4803-49f0-8cbf-92cbb85e9748","resolution":{"observed_at":"2026-08-06T10:19:08.022094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:07.635048Z","title":"Model-agnostic meta-learning for fast adaptation of deep networks","venue":null,"work_id":"dd9c49ab-4aae-4eb9-b9d6-12e480279933","year":2017},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:02.094993Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:76073c66161daec0f519ba26c46f7a638175ad1a154846cb378d72c2d91480ea","observation_id":"87e89452-cbfd-4d6b-807d-a7d7127c5783","resolution":{"observed_at":"2026-08-06T10:19:07.746844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:07.368570Z","title":"Probabilistic model-agnostic meta-learning","venue":null,"work_id":"8a723347-e1e2-44d0-9ce6-f911ee609192","year":2018},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:02.285810Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:f64a1738102fd15258dc4a7b13ec26107a3ff5ddea59ce31ffa5408c50ad372b","observation_id":"8e80141e-6b12-4a06-8cfe-ceb61fd510cf","resolution":{"observed_at":"2026-08-06T10:19:07.492054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:07.105690Z","title":"A simple yet effective network based on vision transformer for camouflaged object and salient object detection","venue":null,"work_id":"e737ded9-b32a-4e3a-a4fa-2d3fe22547e7","year":2025},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:02.393486Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:ca5c384fbac12e8d4ff49e7c597e900d621a69d3aee85fd2daaddc9cfecbfab9","observation_id":"d1d1ca1e-c6f7-487c-88ea-0cf8a8d9f562","resolution":{"observed_at":"2026-08-06T10:19:07.203872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:06.871114Z","title":"Adaptive dimension reduction and variational inference for transductive few-shot classification","venue":null,"work_id":"897ef906-8112-4a34-ad91-47953c2d5b32","year":2023},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:02.518842Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:de8f492b4eb2e36a2db5ce67d0d564025034decf5ab1c30ae1381c5086a73fc0","observation_id":"c2db0f7e-2bca-4ec7-a610-a8ddb5422eb3","resolution":{"observed_at":"2026-08-06T10:19:06.999710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-06T10:19:02.647812Z","title":"Segment anything","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:02.647812Z"},"links":{"cited_paper":"/paper/2304.02643","citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:f341106c21a4c9e20559a8f0b99b142969b8a262a0f3c9c61f997ebc74c252fe","observation_id":"52f38957-88aa-4035-87db-2dd5d3cbecb5","resolution":{"observed_at":"2026-08-06T10:19:02.647812Z","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":"2026-08-06T10:19:06.632890Z","title":"Multimodality helps unimodality: Cross-modal few-shot learning with multimodal models","venue":null,"work_id":"7bccf3d2-ec6a-4df6-9bcd-76d14e081485","year":2023},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:02.778416Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:1dba9bfbd555120f958104473a5b857c51cc300da35e04b43373d2ec1e44f199","observation_id":"afd1b80f-4465-4ace-91c5-5d2a6964680a","resolution":{"observed_at":"2026-08-06T10:19:06.746134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.02999","last_updated":"2018-10-22T16:11:14Z","snapshot_observed_at":"2026-08-05T12:53:31.632675Z","submitted_at":"2018-03-08T08:29:38Z","title":"On First-Order Meta-Learning Algorithms","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.02999","snapshot_observed_at":"2026-08-06T10:19:02.885780Z","title":"On first-order meta-learning algorithms","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:02.885780Z"},"links":{"cited_paper":"/paper/1803.02999","citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:dbc16ed5ffe27934bc6f12e1429e9a589c9b2cad104c5e8276a4f7999bcf3494","observation_id":"305ea5e4-2c86-44bb-9075-c385dbbb9765","resolution":{"observed_at":"2026-08-06T10:19:02.885780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T10:19:03.074883Z","title":"Sam 2: Segment anything in images and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:03.074883Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:c7f813ac7bcb1e81e799e23d25811fa3d49975836f657399d5a2a6c051c8f898","observation_id":"c8724c7c-7d05-4217-9bd7-f31bf07b3e3e","resolution":{"observed_at":"2026-08-06T10:19:03.074883Z","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":"2026-08-06T10:19:06.340229Z","title":"Imagenet large scale visual recognition challenge","venue":null,"work_id":"1099f527-42a4-489e-beb4-b382c852a3c5","year":2015},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:03.187617Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:a72cb3b32997f0384f99a8db0106ae6b25ae84cf954aff07d544a859dced6279","observation_id":"b414f534-05a2-4656-a7fd-d290cc2bb973","resolution":{"observed_at":"2026-08-06T10:19:06.469081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1607.03785","last_updated":"2016-07-13T15:18:25Z","snapshot_observed_at":"2026-07-06T05:03:26.896392Z","submitted_at":"2016-07-13T15:18:25Z","title":"Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset","version":1},"cited_work":{"arxiv_id":"1607.03785","doi":null,"metadata_source":"pith","pith_arxiv_id":"1607.03785","snapshot_observed_at":"2026-08-06T10:19:04.566129Z","title":"Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset","venue":"cs.CV","work_id":"f5f32ada-6dbc-4081-a3ad-b4492d1bb4a0","year":2016},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:03.284643Z"},"links":{"cited_paper":"/paper/1607.03785","citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:0e1ddbe511e3d943a418628753801b96c134428fcef929d373f46a537c01b535","observation_id":"118133f5-d2a7-4886-bec8-e80f304d3020","resolution":{"observed_at":"2026-08-06T10:19:04.686092Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.14279","last_updated":"2021-09-29T09:01:07Z","snapshot_observed_at":"2026-08-07T17:37:50.854585Z","submitted_at":"2021-09-29T09:01:07Z","title":"Localizing Objects with Self-Supervised Transformers and no Labels","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.14279","snapshot_observed_at":"2026-08-06T10:19:03.416813Z","title":"Localizing objects with self-supervised transformers and no labels","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:03.416813Z"},"links":{"cited_paper":"/paper/2109.14279","citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:21e24ad7e266114c15dd4e5264c6916c34a7faebfc2268c054a93cba3f117084","observation_id":"a900f5b0-48a6-453a-ba23-6913599b626f","resolution":{"observed_at":"2026-08-06T10:19:03.416813Z","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":"2026-08-06T10:19:06.067146Z","title":"Active learning helps pretrained models learn the intended task","venue":null,"work_id":"b39dba7d-76d6-4cf9-9f61-15c0c0ff88cd","year":2022},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:03.580639Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:f0aff86df68da764436ded2e7b484c7d8920621bb6d928d6a269ae241bd2959e","observation_id":"4f340a14-35d1-40c0-b265-cd3795639775","resolution":{"observed_at":"2026-08-06T10:19:06.214235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:05.795096Z","title":"Realistic evaluation of transductive few-shot learning","venue":null,"work_id":"99a9c109-8028-42f8-aece-57bdc329f2e6","year":2021},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:03.714780Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:69409a7d71b14f86859bcec363faed70888c3372105756b4449d57f1a1491868","observation_id":"5e5fb62b-c405-4b29-b95b-fe63225d8330","resolution":{"observed_at":"2026-08-06T10:19:05.919259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:05.483028Z","title":"Eliminating feature ambiguity for few-shot segmentation","venue":null,"work_id":"fec93f21-f393-4379-86c0-098aeb717cd0","year":2024},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:03.879336Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:d57b1763f208ad6cb3888a4ca60bfe1581e39c6b9725d15bcd404cdb72d30101","observation_id":"5841709c-3e29-4d12-8ef9-fb63cdc6529a","resolution":{"observed_at":"2026-08-06T10:19:05.633893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12156","last_updated":"2023-06-21T10:08:29Z","snapshot_observed_at":"2026-07-06T15:45:01.961896Z","submitted_at":"2023-06-21T10:08:29Z","title":"Fast Segment Anything","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12156","snapshot_observed_at":"2026-08-06T10:19:04.022025Z","title":"Fast segment anything","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:04.022025Z"},"links":{"cited_paper":"/paper/2306.12156","citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:52e4db42b6837594179c3c700c6fa2836c9714208999c662b24e69e87e74317a","observation_id":"68dba973-db75-41ca-a0f1-853e4d459342","resolution":{"observed_at":"2026-08-06T10:19:04.022025Z","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":"2026-08-06T10:19:05.139696Z","title":"Admnet: Attention-guided densely multi-scale network for lightweight salient object detection","venue":null,"work_id":"716927f9-00d2-433d-b116-92024798b748","year":2024},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:04.146503Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:c19709d6e094d5abd14d739dd092920568a387157377a17c0a047d8907a5b75d","observation_id":"749c41b8-6c9c-4993-878c-043642db64bc","resolution":{"observed_at":"2026-08-06T10:19:05.321018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T10:19:04.889634Z","title":"Transductive few-shot learning with prototype-based label propagation by iterative graph refinement","venue":null,"work_id":"fd8e5ee5-293c-4422-8549-d69523841965","year":2023},"citing_paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T10:19:04.262001Z"},"links":{"citing_paper":"/paper/2508.00218"},"observation_digest":"sha256:b1d32280661bcc2394be8d79dec9dcf7f3557230f2e988b584efb4dadbc55ce8","observation_id":"3f2fc4aa-9bd0-4b4a-aa13-9b319d4c9192","resolution":{"observed_at":"2026-08-06T10:19:04.973444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.00218","last_updated":"2025-07-31T23:44:06Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T04:07:48.202237Z","submitted_at":"2025-07-31T23:44:06Z","title":"Object-Centric Cropping for Visual Few-Shot Classification"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":17},"total_outbound_references":27},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2508.00218."}