{"as_of":"2026-08-08T20:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:52739ca1cdf60a67e55aa3f5a2c0766f4d00c19434bdde4d718c75c1a7a87570","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:23:43.373475Z","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":"2026-08-08T06:32:00.761636+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/2506.02772/citation-record","integrity":"/paper/2506.02772/integrity","json":"/paper/2506.02772/citation-record.json","paper":"/paper/2506.02772"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:23:47.061730Z","title":"A solution for large-scale multi-object tracking,","venue":null,"work_id":"7461c67a-b3ae-4d51-98b9-ee8b1799ea1a","year":2020},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:41.200387Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:73c88f10c5547dd26e404eef4f2bb3b97351ca8992fe35a1d00c3a6bbddcc995","observation_id":"7c95f3f1-4dba-4629-ae64-990fe2660c2b","resolution":{"observed_at":"2026-08-07T11:23:47.326618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:46.704643Z","title":"Linear complexity Gibbs sampling for generalized labeled multi-Bernolli filtering","venue":null,"work_id":"6e28622b-ced0-4738-84fc-2fcbd1fecb2c","year":1981},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:41.288158Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:53c61b623e2db951292680b051e7f5125c4d65c8c6827a1a78b8a470230704f3","observation_id":"5f61d694-f910-4195-8f52-f4275fb53c33","resolution":{"observed_at":"2026-08-07T11:23:46.894003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:46.389313Z","title":"Daley and D","venue":null,"work_id":"576fe394-f443-49db-b2f0-81c6ffeeacbb","year":1988},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:41.451306Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:b08b04ea04784d8360cb4e921baaa86f8b4e049241bac4c815f1d6d24766afd7","observation_id":"dbc55bcd-a46a-48f9-965e-ff0bda237925","resolution":{"observed_at":"2026-08-07T11:23:46.552171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:46.262031Z","title":"Mahler, Advances in Statistical Multisource-Multitarget Information Fu- sion, Artech House, Norwood, MA, 2014","venue":null,"work_id":"40d5b73b-934b-47cc-b424-e56bbf0e49be","year":2014},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:41.586622Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:44ee1ab4784cd3e7cafe1df88a78daf9fef16ef40421ce76fa1d076d1c9388f0","observation_id":"392d3ec9-36b3-4456-add5-aace6572227a","resolution":{"observed_at":"2026-08-07T11:23:46.326645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1049/sil2.12150","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:23:43.901764Z","title":"Bayes-optimal tracking of two statistically correlated targets in general clutter,","venue":null,"work_id":"cf499625-ffdd-44ac-bcbe-e66c7d6f1a45","year":2022},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:41.820796Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:560aa7ff5f386ed6863587e64480a2df9ab7e127bcb8ceb9c924ac1dcbf34f78","observation_id":"40e4b83b-1eaa-415e-9117-062580792645","resolution":{"observed_at":"2026-08-07T11:23:44.017584Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s19122818","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:23:43.540967Z","title":"Exact closed-form multitarget Bayes filters,","venue":null,"work_id":"7265c4b8-8e90-4509-a4ae-59f0b8c3d2ce","year":2019},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:41.997405Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:b6dc9c4a36e022815a8e3d2c36d7064c28d6a4b291cc453d44ac8c6d82001bad","observation_id":"38217d85-4047-4915-bce4-a12b55cc9b19","resolution":{"observed_at":"2026-08-07T11:23:43.737793Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:46.042059Z","title":"Multitarget moments and their application to multitarget tracking,","venue":null,"work_id":"29061abb-b2e5-4468-a9cc-133632d30276","year":2001},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:42.160537Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:f532c2935840ec4212762264930a625e63c674b8245bd1cae5c144ada904c94d","observation_id":"2e7e3282-c05e-4d99-8c0f-221cec437dd3","resolution":{"observed_at":"2026-08-07T11:23:46.151998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:45.841365Z","title":"Mahler, Statistical Multisource-Multitarget Information Fusion , Artech House, Norwood, MA, 2007","venue":null,"work_id":"875ce878-2c32-4a06-bd6d-7b198cbb758c","year":2007},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:42.344030Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:caff5f362b2dba7e8a8b2a4011206e29a87483b885fbde682a9a8e15c54d35ea","observation_id":"d6f02917-40c7-42d3-b3e8-2dc55e900df6","resolution":{"observed_at":"2026-08-07T11:23:45.951921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:45.650525Z","title":"A multi-scan labeled random finite set model for multi-object state estimation,","venue":null,"work_id":"a1f22d65-5a14-4c66-a754-ebc83693114c","year":2019},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:42.499617Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:aed03ceda2081e47713213582c4eccb090bd224fd2a3af59dc5f7566ff466172","observation_id":"1ef78c53-5eba-4431-9f39-14dd602d52b1","resolution":{"observed_at":"2026-08-07T11:23:45.748403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:45.474551Z","title":"An efficient implementation of the generalized labeled multi-Bernoulli filter,","venue":null,"work_id":"de13890c-c385-41b2-ad88-ddb6d6131283","year":1975},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:42.671314Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:da082449ea81a0407eb40836ac66f6b8e2c75cc45f8e3f8c90b8cca49fb03236","observation_id":"8256eb3c-cfa4-4ef6-8893-5ed755efa203","resolution":{"observed_at":"2026-08-07T11:23:45.556953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:45.199998Z","title":"The Bayes multi-target tracking filter,","venue":null,"work_id":"d0afdf0b-a3e2-4d4b-8837-d4e2fc0c036d","year":2014},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:42.799669Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:21636d7d3cf6a309a67788dd55386639ad479c5f0b8495d00af5a22e1c4e1558","observation_id":"74bc0a4f-df86-4515-a753-486db16099ae","resolution":{"observed_at":"2026-08-07T11:23:45.336276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:44.992169Z","title":"Random Finite Sets in Multi-Object Filtering,","venue":null,"work_id":"f5dac867-d6f0-4eea-b215-83618059f0ad","year":2008},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:42.957981Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:a11c2a4480e8d673184137e7f768b2fc42e0b1f9fe166cdafae494f23f0ddc2e","observation_id":"0491db64-d965-44f4-a072-79dea068a450","resolution":{"observed_at":"2026-08-07T11:23:45.107083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:44.775232Z","title":"A random finite set conjugate prior and applica- tion to multi-target tracking,","venue":null,"work_id":"a84765b2-3204-4021-bfcb-d3613ba18d43","year":2011},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:43.092104Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:2d42c571f9a6ea56c50ec67a6eef8b281b7703bc4fa5ee0a407d00c23be0d3d8","observation_id":"e0c2a4f1-3908-4cb6-b80f-647a1ee8a808","resolution":{"observed_at":"2026-08-07T11:23:44.872644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:44.485716Z","title":"Tracking, identification and classification with random finite sets,","venue":null,"work_id":"e17ab450-0c90-4e0f-87de-8971c624561a","year":2013},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:43.221356Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:58325254820c21f96f7f42fae0b2c62c691c214535140a7976fdbc3aa52a32e0","observation_id":"00bfaf30-7b10-4a51-a770-6544bc82317e","resolution":{"observed_at":"2026-08-07T11:23:44.603519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T11:23:44.214096Z","title":"An overview of multi-object estimation via labeled random fi- nite set,","venue":null,"work_id":"69d680ae-d1c1-46fa-8b53-0d9b54a7c994","year":2024},"citing_paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:43.373475Z"},"links":{"citing_paper":"/paper/2506.02772"},"observation_digest":"sha256:2b8bdaa2d1ba7eaf5463b2bb3a0c5f5984f336ac62503c4cbac998683c2db7cc","observation_id":"96b1fec4-0d80-4ea0-bd8e-6ae6a6f3562b","resolution":{"observed_at":"2026-08-07T11:23:44.372792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.02772","last_updated":"2025-06-03T11:46:47Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-07T11:14:10.474942Z","submitted_at":"2025-06-03T11:46:47Z","title":"Generalized Labeled Multi-Bernoulli Filters and Multitarget-Correlation Models"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":2,"verified_fuzzy":13},"total_outbound_references":15},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.02772."}