{"as_of":"2026-08-13T18:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:afea8d70fa0500d83f32f307a375534d83c435f93f1d8324efa8e5741551ce59","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T21:46:43.726679Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2607.15972/citation-record","integrity":"/paper/2607.15972/integrity","json":"/paper/2607.15972/citation-record.json","paper":"/paper/2607.15972"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.15655","last_updated":"2024-11-23T21:29:51Z","snapshot_observed_at":"2026-08-12T17:42:38.801217Z","submitted_at":"2024-11-23T21:29:51Z","title":"Machine Learning-based sEMG Signal Classification for Hand Gesture Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.15655","snapshot_observed_at":"2026-08-01T21:46:42.500195Z","title":"Machine learning-based sEMG signal classification for hand gesture recognition,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:42.500195Z"},"links":{"cited_paper":"/paper/2411.15655","citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:1baf183c526f1ba83e0b7f0dda3ac1712792c86901d351011e16b42df95ecdde","observation_id":"fb89b935-32cc-481b-8872-90eec70ba62e","resolution":{"observed_at":"2026-08-01T21:46:42.500195Z","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":"10.1016/j.jksuci.2022.11.004","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A systematic review on surface electromyography-based classification of hand and finger gestures,","venue":"Journal of King Saud University - Computer and Information Sciences","work_id":"7ce9f90b-0cac-411d-a3a7-c572c9b89470","year":2023},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:42.608048Z"},"links":{"citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:7a4a0a6eb962d5a7bbc7aa2701a4d89a1e54a794b94d8f3b41d03a9d01e2fd7f","observation_id":"1afb864a-638c-411b-9b90-4546303bac18","resolution":{"observed_at":"2026-08-01T21:48:23.777573Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-01T21:46:42.713977Z","title":"Comparison of five time series EMG features extractions using Myo arm- band,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:42.713977Z"},"links":{"citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:d9235cf058538671689fc3660e14838f29a85733d4e4ea79087e2a967ccdbee2","observation_id":"f19357c5-13a9-4048-9b0f-51e393f61116","resolution":{"observed_at":"2026-08-01T21:46:42.713977Z","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":"2026-08-01T21:46:42.820266Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:42.820266Z"},"links":{"citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:1cca69fd57753fb0d4e9714fb3fb819e66061999e9c3f2bb2f98b45001e43041","observation_id":"e7652231-82ef-48be-b0ad-d082aaae15f8","resolution":{"observed_at":"2026-08-01T21:46:42.820266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09053","last_updated":"2024-05-04T19:52:03Z","snapshot_observed_at":"2026-08-13T00:54:39.568169Z","submitted_at":"2024-03-14T02:42:19Z","title":"Towards a theory of model distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09053","snapshot_observed_at":"2026-08-01T21:46:42.982753Z","title":"Towards a theory of model distillation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:42.982753Z"},"links":{"cited_paper":"/paper/2403.09053","citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:02d615bb1bc6faeee931710d6c0ebae893082d588c9799e78b7f6f628ac756e0","observation_id":"e5bc7085-f678-4d53-8f68-4257df869335","resolution":{"observed_at":"2026-08-01T21:46:42.982753Z","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":"2026-08-01T21:46:43.100407Z","title":"An investigation of dimensionality reduc- tion techniques for EMG-based force esti- mation,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:43.100407Z"},"links":{"citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:70d058d5d5e20ee22f8eb3ea250876b9dc05d77ff7e4ac69cdf6afc8efab911c","observation_id":"5f7dfd37-00cc-4c48-a375-73d21e74e181","resolution":{"observed_at":"2026-08-01T21:46:43.100407Z","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":"2026-08-01T21:46:43.156137Z","title":"Ant Colony Optimization-Based Feature Selec- tion for EMG Pattern Recognition,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:43.156137Z"},"links":{"citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:fb623b8b8fcb01beb0a70e55ee9e9f7f54d4921903a99788a12fa2d898d0de1b","observation_id":"76feedfc-9ec8-4d4e-a233-fe99f0c9aed7","resolution":{"observed_at":"2026-08-01T21:46:43.156137Z","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":"2026-08-01T21:46:43.237449Z","title":"Toward im- proved control of prosthetic fingers using surface electromyogram (EMG) signals,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:43.237449Z"},"links":{"citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:a144a1ff12bdc8de0d3abd2838ed002f04aae28771fba1eb4eeeaf2e187a0af6","observation_id":"260914f9-ab41-4137-b852-e231abe3def8","resolution":{"observed_at":"2026-08-01T21:46:43.237449Z","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":"2026-08-01T21:46:43.335801Z","title":"Hand gestures recognition based on one- channel surface EMG signals,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:43.335801Z"},"links":{"citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:07fbba21e7f46c45790c5edebcd29e0a1d4d8e7de1924e142ce01afcf66f17db","observation_id":"82ae7f97-e862-4119-b2da-17f49ca621aa","resolution":{"observed_at":"2026-08-01T21:46:43.335801Z","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":"2026-08-01T21:46:43.482633Z","title":"Gesture recognition using surface electromyography and deep learning for prostheses hand: State-of-the-art, challenges and future,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:43.482633Z"},"links":{"citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:d42d04b299299da52c005bc044e89be51866ccfd4704601a0a6cc2e20eb2e1bb","observation_id":"89877711-f7db-4489-9cc9-ebaaa9616aaf","resolution":{"observed_at":"2026-08-01T21:46:43.482633Z","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":"2026-08-01T21:46:43.597144Z","title":"Single- channel sEMG hand gesture classification using an artificial neural network imple- mented on an ESP32 microcontroller,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:43.597144Z"},"links":{"citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:62e43b63aa7d820d81ebe077bfa85eb60884933e840c456c91b801f5f2aa8279","observation_id":"1a6af85a-6d7b-4784-a989-ece2a1741338","resolution":{"observed_at":"2026-08-01T21:46:43.597144Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-01T21:46:43.726679Z","title":"Support vector machine-based classification scheme for myoelectric control applied to upper limb,","venue":null,"work_id":null,"year":1956},"citing_paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T21:46:43.726679Z"},"links":{"citing_paper":"/paper/2607.15972"},"observation_digest":"sha256:911535db2972dff29d761c0b34a6181c4e50a635bf4d31066d4346aa8ceda636","observation_id":"638a7e7a-3039-4a4d-b8ac-7794fd14de50","resolution":{"observed_at":"2026-08-01T21:46:43.726679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.15972","last_updated":"2026-07-17T14:06:40Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T14:57:24.155658Z","submitted_at":"2026-07-17T14:06:40Z","title":"An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":12},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.15972."}