{"as_of":"2026-08-15T19:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8bf55d41c82d0e1219f24feaf71c8c4333933d2daafa9945e10c9dcd655c8465","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:30:43.467104Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.13549/citation-record","integrity":"/paper/2608.13549/integrity","json":"/paper/2608.13549/citation-record.json","paper":"/paper/2608.13549"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:44.454889Z","title":"Calibrated surrogate maximization of linear-fractional utility in binary classification","venue":null,"work_id":"d8aef9f0-2bec-41d9-9f77-65e53fb6a461","year":2020},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.168817Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:20953e06f05bb85d7251273c67459443485aebd3691a670daaa258cb3258d198","observation_id":"288e7952-c927-420b-b0b5-dda831095f77","resolution":{"observed_at":"2026-08-14T04:30:44.474744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:44.369572Z","title":"Blaschko","venue":null,"work_id":"319a2692-1460-4816-88eb-ce483c0407d9","year":2018},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.205054Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:70542f9ce39b2892110e9eec6d1b86074abdf99b83c98f03d9a6f426782f8f27","observation_id":"988b2dd6-4f0f-4d32-acec-1b560123f69b","resolution":{"observed_at":"2026-08-14T04:30:44.385830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:44.335371Z","title":"A proof for the positive definiteness of the Jaccard index matrix","venue":null,"work_id":"58fcd2fa-7604-4286-9c42-ce83eb17b006","year":2013},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.236677Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:6fee02c8efb503c92eeda72ff44adc09150f33125485e81e89d95c245bb71e02","observation_id":"4e33082e-6eed-447a-bacb-052cf2f3caa0","resolution":{"observed_at":"2026-08-14T04:30:44.355518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:44.265714Z","title":null,"venue":null,"work_id":"12e2e889-4203-4645-a264-466cb9e7aec6","year":1997},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.247293Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:a84bc415b72a5c75dd51de582d7c8e15e21554c26ab53e5fa7d3917d16cbf630","observation_id":"ea4c586d-8622-4c22-89b6-c825c604977d","resolution":{"observed_at":"2026-08-14T04:30:44.280497Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:44.233132Z","title":"Finding the Jaccard median","venue":null,"work_id":"80561265-c59b-426f-91e2-a04b45dab457","year":2010},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.265509Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:36d2f20275fd6d9ae258ad84fccd3e50c4c6891749301379ebacb9e354125e67","observation_id":"c1cbc7aa-da7b-49bf-9a6a-d2b1c8fb495a","resolution":{"observed_at":"2026-08-14T04:30:44.237489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:44.178006Z","title":"RankSEG : A consistent ranking-based framework for segmentation","venue":null,"work_id":"8bf137bc-11f4-455f-b39b-63a2e75d9dac","year":2023},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.294747Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:9063907cc1e1981cf1df0987f7623e5c95938ef1c07e4ac6410a4387e37ca5b9","observation_id":"8ffc40ea-4204-454a-8f35-19a205dc97cb","resolution":{"observed_at":"2026-08-14T04:30:44.180781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:44.095766Z","title":"On label dependence and loss minimization in multi-label classification","venue":null,"work_id":"62ff07ba-2403-45ad-9638-3319ff600c17","year":2012},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.299943Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:823d13a0aad2f3ea49ed8e756aef0bdef2708087f3f1a25ac162f15d35073d47","observation_id":"396ce3b8-616c-4fab-81ba-dd3e8d6ca41d","resolution":{"observed_at":"2026-08-14T04:30:44.134752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:44.065809Z","title":"Finocchiaro, Rafael Frongillo, and Enrique B","venue":null,"work_id":"1e6b8643-b245-4d19-bb6f-edbc17435d81","year":2022},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.303078Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:431742fcf7302617a482cd874cd660043acaf2baa1aa96f30da3ab7b92ae5eab","observation_id":"a5168f9a-e8ee-40df-8c46-3223e17a1c88","resolution":{"observed_at":"2026-08-14T04:30:44.075567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:44.010248Z","title":null,"venue":null,"work_id":"4203537f-3beb-4240-aba6-65b2c63ae955","year":1971},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.308373Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:49e947dce5f8b2b79c4faaf1ea78a2bb3e996295b0dac65fad3c7a341665d074","observation_id":"c21ef081-4924-4b7b-af08-38e6b8bb2b39","resolution":{"observed_at":"2026-08-14T04:30:44.030528Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:43.963292Z","title":"Koyejo, Nagarajan Natarajan, Pradeep K","venue":null,"work_id":"04e17ae9-aeb4-48b3-89c4-3f14bec7cb56","year":2015},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.316808Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:3edc3f3df94d72bd1811b95df511e72d22366dd23fdaf71c9f83a2491b33eaca","observation_id":"41135c66-1a97-4b88-93bb-ca5554d49371","resolution":{"observed_at":"2026-08-14T04:30:43.971533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:43.842745Z","title":"Sharp analysis of learning with discrete losses","venue":null,"work_id":"3afe0d58-a981-4484-b10d-f8ef526966cf","year":1920},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.345214Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:20cfa736038561426603c14d8bfa1f01996672c06695ea7c51764465dae7125f","observation_id":"c954a743-7164-4995-a090-c3929e0863dc","resolution":{"observed_at":"2026-08-14T04:30:43.874753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:43.771140Z","title":"Ramaswamy and Shivani Agarwal","venue":null,"work_id":"46de5b26-b2da-496f-9bf0-95f0fdffe171","year":2012},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.377132Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:816d3f8951046a730aac3103f48b5543d6585a5db4298635374dd28ce21cfd61","observation_id":"0d34d6c4-4e33-44f3-9c1c-e35bb5b43abc","resolution":{"observed_at":"2026-08-14T04:30:43.795709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:43.686324Z","title":"Ramaswamy and Shivani Agarwal","venue":null,"work_id":"bd77a6e8-7c4c-44d8-9976-1008b4132eb8","year":2016},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.390479Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:d45724191ed4d026b7615929c44b1700f5647c6a9954825cfee559c7867579ce","observation_id":"aab74cf5-fdcc-40b0-be23-c7cd44158e8b","resolution":{"observed_at":"2026-08-14T04:30:43.705597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:43.630387Z","title":"On the Bayes-optimality of F-measure maximizers","venue":null,"work_id":"420c1e94-e245-4ca3-b144-2d1932f9e59b","year":2014},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.424757Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:2da05590a5eab66523b416f51f8d9e15371fda087a97df0af62c7dd99c2a8660","observation_id":"5b25f4f5-d1e7-44a2-9766-82d5ca12eb43","resolution":{"observed_at":"2026-08-14T04:30:43.655350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:43.594114Z","title":"Learning submodular losses with the Lov\\'asz hinge","venue":null,"work_id":"f2f8e6ca-9ca1-40bb-9757-fef50fe64ee1","year":2015},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.440364Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:5f9d2b318106da6c2e364004e313e453bdcea3259040ce329494d72af6243b6d","observation_id":"fb5e3750-8d2f-4ec7-b872-6264f5cfc8c1","resolution":{"observed_at":"2026-08-14T04:30:43.601147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:30:43.564853Z","title":"Ramaswamy, and Shivani Agarwal","venue":null,"work_id":"fcc0caa8-c95a-422a-babd-968d831876bd","year":2020},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.453510Z"},"links":{"citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:d74fd9e83382d469324aebb2f413ce6b05c680cf3209ef2f2019489a0e4839a5","observation_id":"a48661d4-b03b-4ed7-95ea-0cdbaf61f39d","resolution":{"observed_at":"2026-08-14T04:30:43.579504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2608.08399","last_updated":"2026-08-09T01:26:56Z","snapshot_observed_at":"2026-08-14T04:34:12.885725Z","submitted_at":"2026-08-09T01:26:56Z","title":"Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss","version":1},"cited_work":{"arxiv_id":"2608.08399","doi":null,"metadata_source":"pith","pith_arxiv_id":"2608.08399","snapshot_observed_at":"2026-08-14T04:30:43.519300Z","title":"Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss","venue":"cs.LG","work_id":"50789723-b588-46b3-ba0e-9a3d40ccef49","year":2026},"citing_paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-14T04:30:43.467104Z"},"links":{"cited_paper":"/paper/2608.08399","citing_paper":"/paper/2608.13549"},"observation_digest":"sha256:6a3f6cee22fe7712e40abe1b6854b1d6a92c083045257d0f9e66b601c2e68ddb","observation_id":"ccb5c38d-2918-4908-8c36-2a4b5a4caeb2","resolution":{"observed_at":"2026-08-14T04:30:43.546100Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.13549","last_updated":"2026-08-13T17:59:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T19:20:28.217307Z","submitted_at":"2026-08-13T17:59:17Z","title":"Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":14},"total_outbound_references":17},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.13549."}