{"as_of":"2026-08-20T23:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:890731e3056aea878fa3de9f2e0a84b52edca683ba03e9f91d7828f4bdd8b3dd","coverage":[{"denominator":8,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:37:00.223099Z","state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:09:18.040682Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.08992","snapshot_observed_at":"2026-08-16T04:09:18.040682Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.02052","last_updated":"2025-05-04T10:07:38Z","snapshot_observed_at":"2026-08-19T15:40:12.657434Z","submitted_at":"2025-05-04T10:07:38Z","title":"TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-16T04:09:18.040682Z"},"links":{"cited_paper":"/paper/1908.08992","citing_paper":"/paper/2505.02052"},"observation_digest":"sha256:33658418f737f8254a1363914f1c797b678f2384b54ae6b500af4ac1150e0572","observation_id":"5e40f927-5cd8-4815-b3cd-b9c1f5fcc745","resolution":{"observed_at":"2026-08-16T04:09:18.040682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","version":1},"cited_work":{"arxiv_id":"1908.08992","doi":"10.48550/arxiv.1908.08992","metadata_source":"arxiv_reference","pith_arxiv_id":"1908.08992","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"d032e03d-e5a5-46d6-99d5-0afbce6eee64","year":2019},"citing_paper":{"arxiv_id":"2605.02596","last_updated":"2026-05-04T13:47:41Z","snapshot_observed_at":"2026-08-11T06:42:29.901945Z","submitted_at":"2026-05-04T13:47:41Z","title":"HARMES: A Multi-Modal Dataset for Wearable Human Activity Recognition with Motion, Environmental Sensing and Sound","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-08T18:35:25.024354Z"},"links":{"cited_paper":"/paper/1908.08992","citing_paper":"/paper/2605.02596"},"observation_digest":"sha256:466e12411b114fafc8d4aef5a3066e850c5e789afbde3aa2d3a3f457d35c745d","observation_id":"15aba4ea-a974-49de-a68b-81a79df2c168","resolution":{"observed_at":"2026-05-08T18:39:01.671505Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1908.08992/citation-record","integrity":"/paper/1908.08992/integrity","json":"/paper/1908.08992/citation-record.json","paper":"/paper/1908.08992"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:37:00.429059Z","title":"The Lancet 390(10100), 1211--1259 (2017)","venue":null,"work_id":"0425cbfb-c2c8-4aad-973c-1821e10e3f2a","year":2017},"citing_paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T13:37:00.177619Z"},"links":{"citing_paper":"/paper/1908.08992"},"observation_digest":"sha256:0a817a491b01ec7d0f7019453c3a486725d6c1714d94b714d73562961b6b0d35","observation_id":"177a3e32-d63f-4a48-9876-ee37c65985ab","resolution":{"observed_at":"2026-08-14T13:37:00.435585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:37:00.406082Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"b91a9d8f-f08b-4691-86e8-078d7ac9221f","year":2015},"citing_paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T13:37:00.183296Z"},"links":{"citing_paper":"/paper/1908.08992"},"observation_digest":"sha256:995165bbbe73a133749fac83671953072740a35790a6f501ffd6c2e32ff108b3","observation_id":"81d06b64-75fd-4092-b50d-599545a99699","resolution":{"observed_at":"2026-08-14T13:37:00.412755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:37:00.377717Z","title":"Sensors 16(1), 115 (2016)","venue":null,"work_id":"b7c3d131-bd63-4fe1-a4e1-bc59416fcd87","year":2016},"citing_paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T13:37:00.188776Z"},"links":{"citing_paper":"/paper/1908.08992"},"observation_digest":"sha256:a19fa8deb717d0a08176a9a6ab0463aea95d3363c786a9d7293226585af6c6bc","observation_id":"e7f32a32-9180-426d-9074-41b7c8e8f038","resolution":{"observed_at":"2026-08-14T13:37:00.385900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:37:00.344515Z","title":"In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","venue":null,"work_id":"28111bd4-f222-43f5-bb0c-b1649f89c8ed","year":2016},"citing_paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T13:37:00.194327Z"},"links":{"citing_paper":"/paper/1908.08992"},"observation_digest":"sha256:a8b8454ee7a2c994af65e4395e9d27921b0aeba3f5892089b45c8dfc0c0446b7","observation_id":"894ecb34-366a-4744-999b-54d5dc145a62","resolution":{"observed_at":"2026-08-14T13:37:00.354835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:37:00.321920Z","title":"In: International Conference on Knowledge Science, Engineering and Management","venue":null,"work_id":"d1c87d02-cc8d-41b8-8a71-aa8728ac92e8","year":2017},"citing_paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T13:37:00.200197Z"},"links":{"citing_paper":"/paper/1908.08992"},"observation_digest":"sha256:e4214d0f97ee173959aa06cb82794bc1540339b7d4d917df2eec1c9bb815eeb8","observation_id":"d522e295-bd9f-4e64-8a06-c2225b939afb","resolution":{"observed_at":"2026-08-14T13:37:00.328098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:37:00.300097Z","title":"In: Proceedings of the 26th International Conference on World Wide Web","venue":null,"work_id":"d5207419-0500-4c51-8349-2e15f5b504e2","year":2017},"citing_paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T13:37:00.208753Z"},"links":{"citing_paper":"/paper/1908.08992"},"observation_digest":"sha256:979f595c341a0c3d155ceda8be23d0eda64d5bf0611bf3f2890b0f20799999bf","observation_id":"796df8e3-9cea-4e20-be97-3a5060d7f4a5","resolution":{"observed_at":"2026-08-14T13:37:00.309418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:37:00.216443Z","title":", \" * write output.state after.block = add.period write","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T13:37:00.216443Z"},"links":{"citing_paper":"/paper/1908.08992"},"observation_digest":"sha256:f9b7cab37137ea50c9715145a5676d9edfce087b741eba0c535d2e1843b2d7f9","observation_id":"f5bf08c8-2d3d-45f0-aa42-8ee449248253","resolution":{"observed_at":"2026-08-14T13:37:00.216443Z","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":"2026-08-14T13:37:00.223099Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-14T13:37:00.223099Z"},"links":{"citing_paper":"/paper/1908.08992"},"observation_digest":"sha256:f5d109fa11054ab069511a6f54d16269bc894d3be4a5507a1c7b34194367415e","observation_id":"a472513f-591c-4b0f-9dd7-20882d5b7db8","resolution":{"observed_at":"2026-08-14T13:37:00.223099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.08992","last_updated":"2019-08-13T16:09:53Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T07:45:20.501751Z","submitted_at":"2019-08-13T16:09:53Z","title":"MEx: Multi-modal Exercises Dataset for Human Activity Recognition"},"reference_resolution":{"displayed":8,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":8},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 2 inbound Pith citation observations for arXiv:1908.08992."}