{"as_of":"2026-08-23T22:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a96e01f435a07988367717fc8cbcc6a3fb73c3f68ca6a281510b19ee66f8017a","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T21:34:28.802667Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2411.08474/citation-record","integrity":"/paper/2411.08474/integrity","json":"/paper/2411.08474/citation-record.json","paper":"/paper/2411.08474"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:34:29.225497Z","title":"Advancements in limb prosthetics,","venue":null,"work_id":"561fcd5e-a5bb-4d40-8c98-5bbaf44dcb1e","year":2013},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.665190Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:6cffda82f9c6c5064b048a06c18727ac0189b0805c523f9df74322dcf683e111","observation_id":"28e83910-f15b-4c1e-8b6f-dda2ac42a1be","resolution":{"observed_at":"2026-08-12T21:34:29.229319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.669830Z","title":"Speed-adaptation mechanism: Robotic prostheses can actively regulate joint torque,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.669830Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:d8ac9671332a7791d299e82c7ee06b8b138b47fff8af089dda8c55cd82ed0146","observation_id":"83fc99a2-afe7-4ee8-b649-b69616bcd707","resolution":{"observed_at":"2026-08-12T21:34:28.669830Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:34:29.207051Z","title":"Robotic exoskeletons: The current pros and cons,","venue":null,"work_id":"a138bc60-4600-4a82-9eef-c55504927008","year":2018},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.674060Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:ddf096079b8dcc257a84003de088bff16115659af3c92c17d76c20ba4ad2955a","observation_id":"4f7e8d19-5d1b-45c3-9a1d-23d090db915c","resolution":{"observed_at":"2026-08-12T21:34:29.210934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.195593Z","title":null,"venue":null,"work_id":"4b620500-e59f-4a08-b235-7ffd217be382","year":2017},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.678194Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:9ab67c0dba3e3e5d091e914c77887e9f6c1e450af37d16c58965425fa612047a","observation_id":"437052f9-e209-40f8-9b18-f4faba610406","resolution":{"observed_at":"2026-08-12T21:34:29.199606Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.184038Z","title":"Technology for monitoring everyday prosthesis use: a systematic review,","venue":null,"work_id":"139d68cc-5a0a-46ff-b746-410a72a9e660","year":2020},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.682510Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:0d0306b13d8d3a06e12868fb416c9eb8688b64cfe30d73dbb624e24421f5bae9","observation_id":"ebf474b6-7fc1-402c-865f-e75a705f43c9","resolution":{"observed_at":"2026-08-12T21:34:29.188225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.173229Z","title":"Advances in active knee brace technology: A review of gait analysis, actuation, and control applications,","venue":null,"work_id":"bfe302c7-27d9-4809-90cb-feda388ee002","year":2024},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.687228Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:d1a218b22574bf462dbadc2babd4bd0081f1eec58fb691bb1b64b7e11fac7015","observation_id":"e77f539d-281d-4cd6-9ab1-a169ad1cebee","resolution":{"observed_at":"2026-08-12T21:34:29.177117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.162215Z","title":"Time series classification using a modified lstm approach from accelerometer-based data: A comparative study for gait cycle detection,","venue":null,"work_id":"2c7f5c60-9495-45d3-965a-25ffe5f27308","year":2019},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.691884Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:80bf13b7d9140dac26314ba7cccc756ad3ba7c497782a4ef902528e8b0b98ccc","observation_id":"beded9ad-c06f-4347-ad89-488bdcde2888","resolution":{"observed_at":"2026-08-12T21:34:29.166206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.151025Z","title":"Walking gait phase detection based on acceleration signals using lstm-dnn algorithm,","venue":null,"work_id":"b3a154d6-e43a-48a7-b0ab-abb942139214","year":2019},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.695718Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:574ceea75b3336c2c36525b87e5fa8754ec188854bad6b9ef77b24d031aa9934","observation_id":"9b30b278-6ff7-43f8-99f1-158738d3422d","resolution":{"observed_at":"2026-08-12T21:34:29.155035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.140115Z","title":"Continuous gait phase estimation using lstm for robotic transfemoral prosthesis across walking speeds,","venue":null,"work_id":"de0ce2f1-8f35-42e9-a2a0-b7fde8f58f90","year":2021},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.699773Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:f770fc2e7da27da5a7c91580d321d359116354a95d8c4e443a7188356d76de49","observation_id":"08fee103-652c-4e8b-9d5f-4c8b2cc7f944","resolution":{"observed_at":"2026-08-12T21:34:29.143900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.128798Z","title":"Piecewise linear labeling method for speed-adaptability enhancement in human gait phase estimation,","venue":null,"work_id":"b5f3f32e-7bbd-4e9e-8c81-f804ba4dcbfb","year":2022},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.703315Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:4af2f5bc37b71424828b7d7914fce6776e36985b675324d1876a4b8b50f0b303","observation_id":"9d152a76-c109-47ae-846b-67f0e14eb77d","resolution":{"observed_at":"2026-08-12T21:34:29.132680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.116847Z","title":"Effect of torso kinematics on gait phase estimation at different walking speeds,","venue":null,"work_id":"6b5ebc87-166c-4dfe-8955-54e428cbc303","year":2022},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.707136Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:0d3cc2d0bb1b806ed863ee0081809fe101b8fabef0b85035631992ab4592fa64","observation_id":"8f7404fe-081b-4077-beb2-b54cead4bca5","resolution":{"observed_at":"2026-08-12T21:34:29.121420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.104929Z","title":"Gait phase recognition using deep convolutional neural network with inertial measurement units,","venue":null,"work_id":"de4eb646-fa2c-4d4b-a85f-513f4d9f8927","year":2020},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.710855Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:3da603548249902b3cd5f85255411998940eeb4b5e47b0a36f8ca2b26bd85f16","observation_id":"1b274503-9cd0-4646-b32a-a87c9367b3b6","resolution":{"observed_at":"2026-08-12T21:34:29.109356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.093324Z","title":"Bpnn-based real-time recognition of locomotion modes for an active pelvis orthosis with different assistive strategies,","venue":null,"work_id":"ca07a409-aa42-446e-ac9e-00e1604aca19","year":2020},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.714828Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:66ed9673fc9b018a379e038c2cb0bb28e0ce82ef294488a4ac60f625718ec3f3","observation_id":"cf27213b-4181-42cc-ad07-a4991707a08c","resolution":{"observed_at":"2026-08-12T21:34:29.097662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.081643Z","title":"Wearable inertial sensor system towards daily human kinematic gait analysis: benchmarking analysis to mvn biomech,","venue":null,"work_id":"8c06eb5b-778e-4b4c-af9f-a10be915b83e","year":2020},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.718667Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:308b82c3164c80c66f0e13e53746d2ca966e497bd53d963309b88f78ec594e3d","observation_id":"fd9846b8-852b-4af8-8f9e-fe61ed1feb5d","resolution":{"observed_at":"2026-08-12T21:34:29.085773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.069585Z","title":"Real-time gait event detection for a lower extremity exoskeleton robot by infrared distance sensors,","venue":null,"work_id":"2d35c74b-c6bd-44d6-9d20-0627354346d1","year":2021},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.723620Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:e1914a4ebe653f44e691016bbc28e7641168c2b45480f9b763f45fc3915e0486","observation_id":"9b7bcec7-f7f4-4b52-9c29-0ee3eaaceb6d","resolution":{"observed_at":"2026-08-12T21:34:29.073601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.057994Z","title":"Gait phase classification for a lower limb exoskeleton system based on a graph convolutional network model,","venue":null,"work_id":"3979e8cc-e318-4d5b-b7a6-e4822b838982","year":2021},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.727694Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:85378ebda4b6fe52565c449630bf90f175e91781bc28d399e1a00810319f8e9b","observation_id":"0f83edbb-4823-4e08-926d-7339f7a989a1","resolution":{"observed_at":"2026-08-12T21:34:29.061767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.047468Z","title":"Walking-speed-adaptive gait phase estimation for wearable robots,","venue":null,"work_id":"355113e7-2c30-49e1-a5a4-051b5ece984a","year":2023},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.731901Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:9ce0574c007550121d634348e559ecc8fb0add6019d2a6fa500e2e0a8a7cbbd5","observation_id":"53918cf6-2356-470c-a4ee-4e1ef624a7af","resolution":{"observed_at":"2026-08-12T21:34:29.051277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.036327Z","title":"Real-time terrain recognition based on transformer and gait prediction based on cnn-lstm-attention for exosuit,","venue":null,"work_id":"bce141a1-1dda-41ae-812f-2677c2a020e4","year":2023},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.736137Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:28b0f6de789959da62df51fba71c0d5b2600df2017250026c705a1a0b464e96d","observation_id":"7b39f2b0-5fb1-42f8-97ba-c24fd377d440","resolution":{"observed_at":"2026-08-12T21:34:29.040439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.025417Z","title":"Actuator optimization and deep learning-based control of pediatric knee exoskeleton for community-based mobility assistance,","venue":null,"work_id":"53d606b0-8246-4dbb-8cce-936297115a61","year":2024},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.740124Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:a0141f9573407718177c072fd0f1a5ce3a2cda419e7583048f3b3560bf83646a","observation_id":"2c64f90e-dd25-40de-bd3e-d338baf7acb3","resolution":{"observed_at":"2026-08-12T21:34:29.029387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.013976Z","title":"Optimal locations and computational frameworks of fsr and imu sensors for measuring gait abnormalities,","venue":null,"work_id":"a0423ce9-31a0-4340-a960-9e1a16242e27","year":2023},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.744065Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:c2f288c0553c13b60524f6cbdfe73a442f5e09b480f0366b1097dae094a3b7b7","observation_id":"bf2215d3-467d-4796-8ca3-4a149c4428f6","resolution":{"observed_at":"2026-08-12T21:34:29.018144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:29.002069Z","title":"Edge impulse cli - edge impulse documentation,","venue":null,"work_id":"fac34853-76d3-4a20-ae3c-2634cec36dd7","year":2024},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.748010Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:17d4d95c3d357281ad29bf36048f936db159505b15a636ea3441ce83b6b112d9","observation_id":"cd988fe1-b879-42f1-a026-85ae933fe3cd","resolution":{"observed_at":"2026-08-12T21:34:29.005980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.989587Z","title":"A waveform skewness index for measuring time series nonlinearity and its applications to the enso–indian monsoon relationship,","venue":null,"work_id":"532eac61-faea-4a0d-8add-2ca5d04b6aee","year":2022},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.751800Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:b729fa47e9151c499eece487a18b357e1082a414006787af8c9f3e0c2b067383","observation_id":"5efae45f-6b25-41d9-9aed-f58e44e8fc83","resolution":{"observed_at":"2026-08-12T21:34:28.993806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.978196Z","title":"An empirical study of the behaviour of the sample kurtosis in samples from symmetric stable distributions,","venue":null,"work_id":"5ad0bf37-831b-47c1-8c00-510310e27778","year":2020},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.755677Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:e18ccb9112ff2e3cb2dbb78b0cb4069c43f2f9e400c0c1b549ad7c7d43ef7dc1","observation_id":"79cefecf-73e3-4e97-b030-63d61c2f1097","resolution":{"observed_at":"2026-08-12T21:34:28.982269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.967107Z","title":"Spectral kurtosis-based rfi mitigation for chime,","venue":null,"work_id":"1c3a4336-6760-43cc-b71d-bc20475a4a50","year":2019},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.760174Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:ce982744c46d2ac4a8b3f599da0b81642cc5ad4b5554c817b1e8df08383e2f8e","observation_id":"e35e4300-c22b-427f-bf35-9fd237eb3f79","resolution":{"observed_at":"2026-08-12T21:34:28.970967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.956113Z","title":"Power spectrum and correlation,","venue":null,"work_id":"68bfcc5b-b471-42ed-8139-43cfb20bca40","year":2000},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.763890Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:dcb38210d3f7b2e3c6f68434f8f3fde2873252ae15b2ad356b7584c4785927c9","observation_id":"e549b39b-804a-4f64-b9ea-b7ec77c3b20a","resolution":{"observed_at":"2026-08-12T21:34:28.959845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.944775Z","title":"Actuator and sensor fault classification for wind turbine systems based on fast fourier transform and uncorrelated multi-linear principal component analysis techniques,","venue":null,"work_id":"12ad9b5a-47a0-414c-920b-7c4b45ae71ce","year":2020},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.767895Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:5a726bcc30ddb021381579ed601806e1e5ca6b1ac350bc31d25e861e6a24c2b0","observation_id":"bb3b020b-325b-4bc2-bbf0-8cc88de720a4","resolution":{"observed_at":"2026-08-12T21:34:28.948948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.08375","last_updated":"2026-04-14T12:21:53Z","snapshot_observed_at":"2026-08-14T20:09:04.632955Z","submitted_at":"2018-03-22T14:30:17Z","title":"Deep Learning using Rectified Linear Units (ReLU)","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.08375","snapshot_observed_at":"2026-08-12T21:34:28.771690Z","title":"Deep learning using rectified linear units (relu),","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.771690Z"},"links":{"cited_paper":"/paper/1803.08375","citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:f0d10cf3bd7fcb375aaf683ea8268bf62852b339bc54c140f45134a0973cf77e","observation_id":"e52b7dcb-e355-4774-93b0-2524667384ca","resolution":{"observed_at":"2026-08-12T21:34:28.771690Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:34:28.933712Z","title":"Activation functions in neural networks,","venue":null,"work_id":"963bb1d6-f891-4b54-bf83-d62e8b1df99e","year":2017},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.775658Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:a3719574b254a0a17a0dd14d1fec6e413c51eadffa92ef96260928cb6d52b682","observation_id":"18359b02-2d67-4e1a-9ee5-4dfc98d9a670","resolution":{"observed_at":"2026-08-12T21:34:28.937574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.919767Z","title":"Taming the cross entropy loss,","venue":null,"work_id":"f58a6b72-e228-443a-9989-b90ab0359111","year":2018},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.779585Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:902f60e53a2af534ac71a9d94b670de8cd84964abc1189dbb0521d04d088d91f","observation_id":"7659dc2f-6068-43d8-aa48-ed4abb0a37d6","resolution":{"observed_at":"2026-08-12T21:34:28.924869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-12T21:34:28.783489Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.783489Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:3736d7ce908c6a7d4892aa2ba85936e2d9c5f3d6cd71b710dabbf67eed92039d","observation_id":"3e2e41f5-a9f9-4a70-950c-db3f91d4e163","resolution":{"observed_at":"2026-08-12T21:34:28.783489Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:34:28.908010Z","title":"Anomaly detection (k-means) edge impulse documentation","venue":null,"work_id":"40f65f14-ea6f-4a44-81c7-7bc9d804fad9","year":2024},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.787815Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:5af11c19433776b5ec019b55cf4d68d7cbe489442193c8017ff1d1ae5dee3fd2","observation_id":"28d55fda-2978-40f4-ac8a-8c5b0f12ec3d","resolution":{"observed_at":"2026-08-12T21:34:28.911994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.896321Z","title":"Implementation of k-means algorithm for clustering corn planting feasibility area in south lampung regency,","venue":null,"work_id":"55ed029c-9f2e-45c3-9ec2-a73ee48fedae","year":2021},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.791551Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:e34072f6da34e9660a441727c20b611d3af4735cb5e016e56af0484f66dcd4dc","observation_id":"7c06c6b1-c87a-41e5-8a02-2c27d864ab46","resolution":{"observed_at":"2026-08-12T21:34:28.900332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.883759Z","title":"Tinyml for ultra-low power ai and large scale iot deployments: A systematic review,","venue":null,"work_id":"f118106b-efb4-4623-8d20-68f2fbc683a5","year":2022},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.795285Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:bc64e296282e69cedc3d865fa5d5d22ed24bcc70e6135f7f7c038ffc672535d3","observation_id":"cfbe4c23-4f42-41c2-b3a9-1d9af604970d","resolution":{"observed_at":"2026-08-12T21:34:28.887947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.870656Z","title":"Real-time clinical gait analysis and foot anomalies detection using pressure sensors and convolutional neural network,","venue":null,"work_id":"803605dd-4c5e-45f0-8f9c-07f91ff95701","year":2022},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.798911Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:c85463733b2d90881ee20994ec01d617c7da09d564c81e0aa301eb0b33446bce","observation_id":"43d6e52b-2460-4067-a9d1-b0615dc44d27","resolution":{"observed_at":"2026-08-12T21:34:28.875609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T21:34:28.855196Z","title":"A standalone computing system to classify human foot movements using machine learning techniques for ankle-foot prosthesis control,","venue":null,"work_id":"40aa11f1-9ffc-46e2-b578-874c9f3df4d6","year":2022},"citing_paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T21:34:28.802667Z"},"links":{"citing_paper":"/paper/2411.08474"},"observation_digest":"sha256:87d4e4a266ec9e0bec78f41ce1744aa9701f7821c156170e242fe07d501dfeb2","observation_id":"0c1c1b26-b4a9-4381-a6fa-ae5269bf58f7","resolution":{"observed_at":"2026-08-12T21:34:28.861517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.08474","last_updated":"2024-11-13T09:47:00Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-19T15:05:00.732750Z","submitted_at":"2024-11-13T09:47:00Z","title":"A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":35},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2411.08474."}