{"as_of":"2026-08-10T14:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:07f732e62e1477c001b630540d5f4885f4131f22f7be0472cdb3652685f5d323","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:52:48.066282Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T19:43:23.564504Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.02635","last_updated":"2025-01-06T03:00:07Z","snapshot_observed_at":"2026-08-10T13:42:11.500327Z","submitted_at":"2024-08-05T16:58:56Z","title":"Interactive 3D Medical Image Segmentation with SAM 2","version":2},"cited_work":{"arxiv_id":"2408.02635","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.02635","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2408.02635 (2024)","venue":null,"work_id":"a1f8ecd0-8ed4-4f89-88c6-017d08c0c290","year":2024},"citing_paper":{"arxiv_id":"2410.04960","last_updated":"2026-06-04T11:59:03Z","snapshot_observed_at":"2026-08-02T12:51:51.839797Z","submitted_at":"2024-10-07T11:59:54Z","title":"On Efficient Variants of Segment Anything Model: A Survey","version":5},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-23T19:42:24.122342Z"},"links":{"cited_paper":"/paper/2408.02635","citing_paper":"/paper/2410.04960"},"observation_digest":"sha256:e2b5d00dd0d73caad1ae16afffeedd146472dcf0ebdbce307d99764db1109d61","observation_id":"a481596e-b91a-4cb6-874a-0fda5ec1f9b4","resolution":{"observed_at":"2026-05-23T19:43:23.567966Z","resolver_source":"arxiv_id","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":"2408.02635","last_updated":"2025-01-06T03:00:07Z","snapshot_observed_at":"2026-08-10T13:42:11.500327Z","submitted_at":"2024-08-05T16:58:56Z","title":"Interactive 3D Medical Image Segmentation with SAM 2","version":2},"cited_work":{"arxiv_id":"2408.02635","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.02635","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2408.02635 (2024)","venue":null,"work_id":"a1f8ecd0-8ed4-4f89-88c6-017d08c0c290","year":2024},"citing_paper":{"arxiv_id":"2503.12507","last_updated":"2026-04-24T10:56:49Z","snapshot_observed_at":"2026-08-07T22:17:50.153262Z","submitted_at":"2025-03-16T13:58:13Z","title":"Segment Any-Quality Images with Generative Latent Space Enhancement","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-22T23:45:38.970279Z"},"links":{"cited_paper":"/paper/2408.02635","citing_paper":"/paper/2503.12507"},"observation_digest":"sha256:58f806dc813b407287461bea69171b247de3f6986a1a4ffe2664a7dd774dd3bc","observation_id":"97edf598-3b65-4d5c-b998-e277b7cbe57f","resolution":{"observed_at":"2026-05-22T23:47:15.706149Z","resolver_source":"arxiv_id","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":"2408.02635","last_updated":"2025-01-06T03:00:07Z","snapshot_observed_at":"2026-08-10T13:42:11.500327Z","submitted_at":"2024-08-05T16:58:56Z","title":"Interactive 3D Medical Image Segmentation with SAM 2","version":2},"cited_work":{"arxiv_id":"2408.02635","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.02635","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2408.02635 (2024)","venue":null,"work_id":"a1f8ecd0-8ed4-4f89-88c6-017d08c0c290","year":2024},"citing_paper":{"arxiv_id":"2505.06907","last_updated":"2026-05-18T08:23:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-11T08:57:53Z","title":"A Survey on Foundation Models for Personalized Federated Intelligence","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-22T15:32:15.293888Z"},"links":{"cited_paper":"/paper/2408.02635","citing_paper":"/paper/2505.06907"},"observation_digest":"sha256:52eb12e1dce8e131cae3b1c6442aee8814478bd06f06876742d4b0fbfa9441df","observation_id":"fbf7bd2b-ea2d-421b-91e2-5f3cd2f63bf8","resolution":{"observed_at":"2026-05-22T15:34:57.653180Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2408.02635","last_updated":"2025-01-06T03:00:07Z","snapshot_observed_at":"2026-08-10T13:42:11.500327Z","submitted_at":"2024-08-05T16:58:56Z","title":"Interactive 3D Medical Image Segmentation with SAM 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.02635","snapshot_observed_at":"2026-08-07T11:52:48.066282Z","title":"Interactive 3d medical image segmentation with sam 2.arXiv:2408.02635, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01304","last_updated":"2025-06-02T04:30:14Z","snapshot_observed_at":"2026-08-10T02:38:04.027009Z","submitted_at":"2025-06-02T04:30:14Z","title":"SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T11:52:48.066282Z"},"links":{"cited_paper":"/paper/2408.02635","citing_paper":"/paper/2506.01304"},"observation_digest":"sha256:2941d6ea016366d2f3cb3f7848f6736c64075ce587680dcd8814e5c6e211267e","observation_id":"6367c98a-127d-4bb1-8f02-dc5c67f8f2ba","resolution":{"observed_at":"2026-08-07T11:52:48.066282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.02635","last_updated":"2025-01-06T03:00:07Z","snapshot_observed_at":"2026-08-10T13:42:11.500327Z","submitted_at":"2024-08-05T16:58:56Z","title":"Interactive 3D Medical Image Segmentation with SAM 2","version":2},"cited_work":{"arxiv_id":"2408.02635","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.02635","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2408.02635 (2024)","venue":null,"work_id":"a1f8ecd0-8ed4-4f89-88c6-017d08c0c290","year":2024},"citing_paper":{"arxiv_id":"2601.02018","last_updated":"2026-04-27T02:00:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-01-05T11:28:58Z","title":"Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-16T18:11:47.141366Z"},"links":{"cited_paper":"/paper/2408.02635","citing_paper":"/paper/2601.02018"},"observation_digest":"sha256:b71795c1b59214ba2ec9af1e7f7f26ccbb0a17c258a20f9a8113e1942c8c04f3","observation_id":"050f7f06-0242-40cd-b077-acce4659656f","resolution":{"observed_at":"2026-05-16T18:13:13.249177Z","resolver_source":"arxiv_id","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":"2408.02635","last_updated":"2025-01-06T03:00:07Z","snapshot_observed_at":"2026-08-10T13:42:11.500327Z","submitted_at":"2024-08-05T16:58:56Z","title":"Interactive 3D Medical Image Segmentation with SAM 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.02635","snapshot_observed_at":"2026-08-01T16:27:27.818561Z","title":"Interactive 3D medical image segmentation with SAM 2,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18014","last_updated":"2026-07-20T14:48:11Z","snapshot_observed_at":"2026-08-06T21:58:28.507856Z","submitted_at":"2026-07-20T14:48:11Z","title":"SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T16:27:27.818561Z"},"links":{"cited_paper":"/paper/2408.02635","citing_paper":"/paper/2607.18014"},"observation_digest":"sha256:7726a8e80ddbd8cb1ace60cc744c2b5e1c90c7314e35789ea50cf8b47c256074","observation_id":"f1f2ce58-1f26-4268-bde0-92162e36a254","resolution":{"observed_at":"2026-08-01T16:27:27.818561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.02635/citation-record","integrity":"/paper/2408.02635/integrity","json":"/paper/2408.02635/citation-record.json","paper":"/paper/2408.02635"},"outbound":[],"paper":{"arxiv_id":"2408.02635","last_updated":"2025-01-06T03:00:07Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T13:42:11.500327Z","submitted_at":"2024-08-05T16:58:56Z","title":"Interactive 3D Medical Image Segmentation with SAM 2"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.02635."}