{"as_of":"2026-08-08T13:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6c737bf3731824a29520e74a5eed9da0345d03709fac9045aaa1c97a2bb33928","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":"2026-08-07T12:24:13.613935Z","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":"2026-08-08T06:32:00.761636+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/2505.24487/citation-record","integrity":"/paper/2505.24487/integrity","json":"/paper/2505.24487/citation-record.json","paper":"/paper/2505.24487"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:24:16.136489Z","title":null,"venue":null,"work_id":"2e0e6e76-063f-4244-9a49-f2556d5c380d","year":2021},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:12.110643Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:660bb50d6c9e2d30b3916ad467d580e374a9fdbf4d3e013c7b0ab1704b87ed22","observation_id":"cdc7188e-1859-4c86-afd9-f82ddbe2d561","resolution":{"observed_at":"2026-08-07T12:24:16.212175Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T12:24:15.938511Z","title":"Attaianese, G","venue":null,"work_id":"a2061776-2707-42ee-930e-bf8d522ac06b","year":2021},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:12.199077Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:0de532303667d94fc4bf36b783907202ebd2dfc7e92d8b0e2ebd8dae6371ca01","observation_id":"d2de110d-da34-4321-b051-b423acc8dc3a","resolution":{"observed_at":"2026-08-07T12:24:16.057418Z","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":"2026-08-07T12:24:15.729921Z","title":"Edge- ai in lora-based health monitoring: Fall detection system w ith fog computing and lstm recurrent neural networks,","venue":null,"work_id":"cbfe5b1a-0338-4ff4-97af-0a45fc4ffaa1","year":2019},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:12.305860Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:5d112462170043bf30b9dba7333cfd864e7d50a9ac83349226aefa5898079bda","observation_id":"33f7a19f-7097-4495-84e6-b62b4e55072c","resolution":{"observed_at":"2026-08-07T12:24:15.831061Z","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":"2026-08-07T12:24:15.626635Z","title":"A machine learning approach f or fall detection and daily living activity recognition,","venue":null,"work_id":"a44fc757-1a91-4a48-bd12-6e322d94abf7","year":2019},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:12.338117Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:5923aa9fc08f4a05f51f9cfa186bf396ce91a01e0c88791ee29acbec228b19ec","observation_id":"29a40f8d-d28e-44ef-b23e-bd546ea62563","resolution":{"observed_at":"2026-08-07T12:24:15.669038Z","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":"2026-08-07T12:24:15.471676Z","title":"A survey on recent adv ances in wearable fall detection systems,","venue":null,"work_id":"1477cd07-5945-4b7b-bcd3-e88d7159b5cd","year":2020},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:12.386647Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:dc748f0b203c52856a9badc45956cbb1b4bcd9c1892de1d214df16c7c6575c74","observation_id":"83d239c5-80ad-423a-bd2d-c1bc0d32b038","resolution":{"observed_at":"2026-08-07T12:24:15.566182Z","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":"2026-08-07T12:24:15.298363Z","title":"La test research trends in fall detection and prevention using mach ine learning: A systematic review,","venue":null,"work_id":"cbcb28dc-261f-4c9e-8b05-b252bda19ef4","year":2021},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:12.443872Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:e3063899d7031925a79c492df5bef529ec7ad8314ec363192c331af2254336e7","observation_id":"bdbc5672-5e61-4f95-9bc9-3d5efd3b4652","resolution":{"observed_at":"2026-08-07T12:24:15.402186Z","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":"2026-08-07T12:24:15.151951Z","title":"Elderly fall detect ion systems: A literature survey,","venue":null,"work_id":"8f2bf799-c95e-4eb0-8eb8-8bf6fd85dd46","year":2020},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:12.686162Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:cf35f33d977f43d6c4cc7df5f0d1349f5b8a3bdaf1d1a558028602bdbfde5a34","observation_id":"f8ab9343-316d-46dc-ba7e-a45e55a0958f","resolution":{"observed_at":"2026-08-07T12:24:15.238201Z","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":"2026-08-07T12:24:14.991296Z","title":"Elderly fall detection us ing wearable sensors: A low cost highly accurate algorithm,","venue":null,"work_id":"307e8733-5809-40b3-82e2-b2e4d14dc6d6","year":2019},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:12.964104Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:94937796f0f3e02b4e430300764e831fa1dcd743adc6a58c74f0f3c9ae40ba08","observation_id":"7cca0df4-1cfb-484b-a13d-660de92cb6f2","resolution":{"observed_at":"2026-08-07T12:24:15.059103Z","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":"2026-08-07T12:24:14.882968Z","title":"Fall risk reduction for the elder ly by using mobile robots based on deep reinforcement learning,","venue":null,"work_id":"6fcd5782-9c03-4d8b-9b67-75db27182e41","year":2018},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:13.051012Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:b12e95e61c3a2e775005768826fc56cd3bc855f5811cabfd9580c174d98e3592","observation_id":"1d72f060-6ceb-4f9d-a0bd-94832891fd41","resolution":{"observed_at":"2026-08-07T12:24:14.929393Z","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":"2026-08-07T12:24:14.704677Z","title":"Falls in the elderly: Detection a nd assess- ment,","venue":null,"work_id":"681252df-595a-491d-9448-539d00309120","year":1991},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:13.136843Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:e66f6d172dc7dc8a2059a6d2e0ffdba4f9b9e28bb1620703b248d6ef56571b7a","observation_id":"24ec53fb-2877-400d-a5b9-4d91b361502e","resolution":{"observed_at":"2026-08-07T12:24:14.776985Z","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":"2026-08-07T12:24:14.545157Z","title":"S isfall: A fall and movement dataset,","venue":null,"work_id":"08d6ad06-e7be-4be8-a4b9-4a047c050048","year":2017},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:13.227226Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:2e113f77def2d1b56bc7876727957a0355b7e819d682d6bd90783d1ea15f953c","observation_id":"47f0ba8d-2ae9-4b56-b487-ba7f4c2dfab5","resolution":{"observed_at":"2026-08-07T12:24:14.620982Z","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":"2026-08-07T12:24:14.422205Z","title":"Up-fall detectio n dataset: A multimodal approach,","venue":null,"work_id":"95209559-89ec-4968-bb3f-0fef000009ff","year":2019},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:13.271028Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:996c132bb55b03d95b7b51c1f3c45afee32499fba587e98ac9cf3d00d5eb75b8","observation_id":"e6a76b7f-fc0c-4e0e-9a41-e3ca2af3f630","resolution":{"observed_at":"2026-08-07T12:24:14.486986Z","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":"2026-08-07T12:24:14.257224Z","title":"Umafall: A multisensor dataset for the research on automat ic fall detection,","venue":null,"work_id":"239a95ea-86c3-422b-9d7a-93e84dd81209","year":2017},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:13.307644Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:af2afbe49d967622135a0ccfe0c6802d8bc66af00d6c463aec0d70d193761ec0","observation_id":"5e9b8911-aed1-4fbf-b06d-ddf098575da6","resolution":{"observed_at":"2026-08-07T12:24:14.335727Z","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":"2026-08-07T12:24:14.077293Z","title":"Xsens DOT Wearable Sensor Platform — xsens.c om,","venue":null,"work_id":"8f04098d-8278-4f69-9830-fcc0e31320af","year":null},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:13.360858Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:940d80c2f57c1c2c2a961c1048045f41a853aa19527e74e15a5e4ee989508830","observation_id":"0dd893f2-e1b5-4b46-bf2d-8c371d3efc74","resolution":{"observed_at":"2026-08-07T12:24:14.160071Z","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":"2026-08-07T12:24:13.955275Z","title":"Model-based fall detection a nd fall preven- tion for humanoid robots,","venue":null,"work_id":"c1ded9fc-a606-4b32-9c2b-0a2d58e327f9","year":2017},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:13.422998Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:cdd5a62e43c5c6803c1fdaa9f5eb20144a5600f28650600f4e206e0633cdf5e1","observation_id":"f3918841-c1de-4c0f-84b8-25555757574c","resolution":{"observed_at":"2026-08-07T12:24:13.995876Z","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":"2026-08-07T12:24:13.837203Z","title":"S isfall: A fall and movement dataset,","venue":null,"work_id":"df41c6fe-5a6f-455b-aa7f-900ff6400176","year":2017},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:13.516113Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:e5b38e5e808e10b25aee67e1f25f2c1b445a015e60da7a2b407f2db1f451c237","observation_id":"a0c1a48e-048e-444e-853a-f61eca54adbc","resolution":{"observed_at":"2026-08-07T12:24:13.884610Z","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":"2026-08-07T12:24:13.704724Z","title":"Up-fall detectio n dataset: A multimodal approach,","venue":null,"work_id":"21877087-f97c-4b1a-a0a6-b2f299bc5ec9","year":1988},"citing_paper":{"arxiv_id":"2505.24487","last_updated":"2025-05-30T11:41:16Z","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:13.613935Z"},"links":{"citing_paper":"/paper/2505.24487"},"observation_digest":"sha256:0fbc572ce6637bc665eb8280a82bb94c5f6871ece1f9d019b24355ad9e02935f","observation_id":"02b4881c-39b3-49d0-9ae3-7ddf9da6f772","resolution":{"observed_at":"2026-08-07T12:24:13.741955Z","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":"2505.24487","last_updated":"2025-05-30T11:41:16Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-07T12:18:37.760219Z","submitted_at":"2025-05-30T11:41:16Z","title":"Real-time Fall Prevention system for the Next-generation of Workers"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":16},"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":"2026-08-08T06:32:00.761636+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 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.24487."}