{"as_of":"2026-08-22T18:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7f42d27bc75811469de490e28942af25c8fb996d610a322c8ab3d1f5e5487574","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T02:42:46.604864Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T04:45:39.710174Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T04:45:40.046687Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"cited_work":{"arxiv_id":"2602.10045","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.10045","snapshot_observed_at":"2026-08-10T04:45:40.046687Z","title":"Conformal Prediction Sets for Instance Segmentation","venue":"cs.CV","work_id":"c25bf6b7-7a47-4475-ba94-01fb8a8cc269","year":2026},"citing_paper":{"arxiv_id":"2608.07434","last_updated":"2026-08-07T17:19:27Z","snapshot_observed_at":"2026-08-16T03:40:46.926526Z","submitted_at":"2026-08-07T17:19:27Z","title":"Conformal Coverage Guarantees for Any Video Temporal Grounder","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T04:45:39.710174Z"},"links":{"cited_paper":"/paper/2602.10045","citing_paper":"/paper/2608.07434"},"observation_digest":"sha256:e56442d3ace554977235edbde33fbb93b4b3788dbb2deea70f249b36a59494de","observation_id":"d1786682-bc85-4cbe-8b4b-d9db9436e31d","resolution":{"observed_at":"2026-08-10T04:45:40.052276Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2602.10045/citation-record","integrity":"/paper/2602.10045/integrity","json":"/paper/2602.10045/citation-record.json","paper":"/paper/2602.10045"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T02:42:45.065245Z","title":"Confident object detection via conformal prediction and conformal risk control: an ap- plication to railway signaling","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:45.065245Z"},"links":{"citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:f22e44244108c59ed2743269722cf1f539c77ca7350f13eb7d396b0be4a17d7f","observation_id":"8dd4aaeb-bfb4-4e0f-a040-95114072de9e","resolution":{"observed_at":"2026-08-03T02:42:45.065245Z","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":"2026-08-03T02:42:46.083846Z","title":"Next, define M:X × Y × Pk →[0,1] to be the function given by M(x, y, J)≡max ˆy∈u(x,J) IoU(y,ˆy) for allx∈ X, y∈ Y,andJ⊆[k]","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:46.083846Z"},"links":{"citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:51d860c1e2d328a617e32a567efca2f4dc9fe0f75fafe31f023722efa963f332","observation_id":"a0ff48c9-b050-4203-b3da-cf7fca11e879","resolution":{"observed_at":"2026-08-03T02:42:46.083846Z","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":"2026-08-03T02:42:46.189639Z","title":"cov- ered","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:46.189639Z"},"links":{"citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:1b25ae3cd4f7f6b7e84b348a8d56387385786bd1d37392530fac56baa6c8cf6b","observation_id":"fd00992d-7690-44a0-9364-98d11c9e843d","resolution":{"observed_at":"2026-08-03T02:42:46.189639Z","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":"2026-08-03T02:42:46.400588Z","title":"Thus, we can apply Conformal Risk Control (Angelopoulos et al., 2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:46.400588Z"},"links":{"citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:0fb4d801ac71cf6306b7f1550a28ab9d46bbac6c96f670727b62d38bb1a1ca57","observation_id":"cebada33-8483-4e84-846f-452d168291d3","resolution":{"observed_at":"2026-08-03T02:42:46.400588Z","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":"2026-08-03T02:42:46.529785Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:46.529785Z"},"links":{"citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:d68764dd6cf8c15f097aa77e811274b7131a5946cc1a0a1ad812cbea8dc99b7c","observation_id":"a303b739-02b8-4898-b227-0c0bdb4ce589","resolution":{"observed_at":"2026-08-03T02:42:46.529785Z","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":"2026-08-03T02:42:46.604864Z","title":"We evaluate our method on 200 images with car instance labels from the Cityscapes street scene validation dataset (Cordts et al., 2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:46.604864Z"},"links":{"citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:e0537e3d55bdc2cb21b8c7be64514300c187a0026781633644975481612480ed","observation_id":"1334cad8-a525-4f4b-9e9e-b5a4dce968e8","resolution":{"observed_at":"2026-08-03T02:42:46.604864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.07482","last_updated":"2022-04-15T14:33:42Z","snapshot_observed_at":"2026-08-16T17:06:43.175529Z","submitted_at":"2022-04-15T14:33:42Z","title":"Towards PAC Multi-Object Detection and Tracking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.07482","snapshot_observed_at":"2026-08-03T02:42:45.735169Z","title":"Segment anything","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:45.735169Z"},"links":{"cited_paper":"/paper/2204.07482","citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:72ecbed3e28e6557316aafc6da1e3e5cba762053fb4a856432ca75191cf978b5","observation_id":"3667a428-2741-4fa8-807d-c682bcfc3370","resolution":{"observed_at":"2026-08-03T02:42:45.735169Z","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":"2026-08-03T02:42:45.544830Z","title":"Reducibility among Combina- torial Problems","venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:45.544830Z"},"links":{"citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:dd9e8bc3cc00cf5bcd29ecccab26cf96ed795b5903e8a02f4a8a6f70746d0360","observation_id":"4d0952d0-6bf2-4d3c-a88b-3fc2650867e9","resolution":{"observed_at":"2026-08-03T02:42:45.544830Z","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":"2026-08-03T02:42:45.169706Z","title":"Conformal Object Detec- tion by Sequential Risk Control","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:45.169706Z"},"links":{"citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:de121101ea9a4f86d614833b899b96605576e7ce921fced7ce6cc46dc7fb03d4","observation_id":"9f45d1b5-f3fe-464b-b673-7a59412140f1","resolution":{"observed_at":"2026-08-03T02:42:45.169706Z","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":"2026-08-03T02:42:45.845396Z","title":"Cellpose-SAM: superhuman generalization for cellular segmentation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":157,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:45.845396Z"},"links":{"citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:28b141bdef8e5f70055c352187d33fafad7a469cac95819a265a58bc31ec62d8","observation_id":"46b2e191-7125-4d67-8a7e-788ad8984233","resolution":{"observed_at":"2026-08-03T02:42:45.845396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.14113","last_updated":"2026-05-08T08:17:08Z","snapshot_observed_at":"2026-08-16T09:05:48.007172Z","submitted_at":"2025-05-20T09:19:37Z","title":"CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.14113","snapshot_observed_at":"2026-08-03T02:42:45.915870Z","title":"CONSIGN: Conformal Segmentation Informed by Spa- tial Groupings via Decomposition","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":398,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:45.915870Z"},"links":{"cited_paper":"/paper/2505.14113","citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:c3c88d82ed374205e357f57a058f508475a3b84c0345a730bb5f7f12dbeaac14","observation_id":"98c5855b-ba3e-441e-9d6f-33729b3f8d64","resolution":{"observed_at":"2026-08-03T02:42:45.915870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.02814","last_updated":"2025-06-13T18:38:23Z","snapshot_observed_at":"2026-08-20T17:21:03.888131Z","submitted_at":"2022-08-04T17:59:44Z","title":"Conformal Risk Control","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.02814","snapshot_observed_at":"2026-08-03T02:42:45.385059Z","title":"Conformal risk control","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":591,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:45.385059Z"},"links":{"cited_paper":"/paper/2208.02814","citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:ef269e3ec9f03d3ae19e96156f90302da1748a996a8035c080faeae69715c3f1","observation_id":"fd9c2675-d163-43cf-8c64-f8d3b6bee757","resolution":{"observed_at":"2026-08-03T02:42:45.385059Z","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":"2026-08-03T02:42:46.262019Z","title":null,"venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:46.262019Z"},"links":{"citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:6fdc8b6dab166cf4b4773617d01a807d8910d56e70b4b2502111d6f5efc05b9c","observation_id":"df0af64c-b88e-4583-a227-e4c71330953b","resolution":{"observed_at":"2026-08-03T02:42:46.262019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16740","last_updated":"2025-05-22T14:52:59Z","snapshot_observed_at":"2026-08-18T06:39:06.824170Z","submitted_at":"2025-05-22T14:52:59Z","title":"Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16740","snapshot_observed_at":"2026-08-03T02:42:46.005873Z","title":"Robust vision-based runway detection through conformal prediction and conformal map","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation","version":2},"reference_index":2197,"source":"pdf_text","source_observed_at":"2026-08-03T02:42:46.005873Z"},"links":{"cited_paper":"/paper/2505.16740","citing_paper":"/paper/2602.10045"},"observation_digest":"sha256:112fa8f2e12fedbe670b6acd201f3f3b5ebe43b80e5b7ef344a5fae9def219ee","observation_id":"8f39a3cc-826f-4912-a545-06a626c55049","resolution":{"observed_at":"2026-08-03T02:42:46.005873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.10045","last_updated":"2026-07-07T10:45:01Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T02:18:28.599627Z","submitted_at":"2026-02-10T18:15:06Z","title":"Conformal Prediction Sets for Instance Segmentation"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":14},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2602.10045."}