{"as_of":"2026-08-22T20:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fd9077a12c4d58bc12180f8f81fe985139dfcbfca42e5dcb1028bc6ae814c5cf","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":"2026-08-08T23:22:10.393386Z","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":"2026-08-22T06:32:14.747728+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/2502.04167/citation-record","integrity":"/paper/2502.04167/integrity","json":"/paper/2502.04167/citation-record.json","paper":"/paper/2502.04167"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T23:22:11.297139Z","title":"Time series shapelets: A new primitive for data mining,","venue":null,"work_id":"bedb202b-608a-4df1-8c41-645f73a9a07a","year":2009},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.340254Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:0870782b6970cefa1188c5a8d457ec3f7283f8f9b266d70c0fd37273c50b08d7","observation_id":"0fec9d21-4283-4737-b2b7-e004cec641ba","resolution":{"observed_at":"2026-08-08T23:22:11.303103Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T23:22:11.140258Z","title":"A shapelet dictionary learning algorithm for time series classification,","venue":null,"work_id":"bf1c2a5d-7ea0-40be-8748-388815160429","year":2019},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.344918Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:9ea7a85154434ae46f378ac6699d31cb52e18df37c780587399b3654d9fc5f38","observation_id":"4d7eab44-df63-404a-abdb-f7ce24ba5bff","resolution":{"observed_at":"2026-08-08T23:22:11.143822Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.419078Z","title":"Clustering of time series subsequences is meaningless: Implications for past and future research,","venue":null,"work_id":"e2ae95f0-afce-480a-a9a3-4e439b103640","year":2003},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.348427Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:651911ff008d068ed1904c11cafa6409b3596c14f84e5182e167256284df220c","observation_id":"70420b3c-69d0-457c-a3a5-8423c8f74d78","resolution":{"observed_at":"2026-08-08T23:22:11.422073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.410456Z","title":"l2, 1-norm regularized discriminative feature selection for unsupervised learning,","venue":null,"work_id":"61077953-6e0d-4b01-a09c-8698770e511c","year":2011},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.351976Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:f81010d71bb966d15b43d16f75789d6c20f229a12a17e7fcb3ae515822ca3733","observation_id":"d714621a-d82a-4700-88cf-c7e23f0d1165","resolution":{"observed_at":"2026-08-08T23:22:11.413495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.401543Z","title":"St-hmp: Unsupervised spatio-temporal feature learning for tactile data,","venue":null,"work_id":"d9882621-bf8b-4b93-92b7-8c5015b88715","year":2014},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.355753Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:2c489b88dac6be682496c271d81b342151e133d4d93e84c513131a84c40bdfee","observation_id":"bd8f2c00-8d03-4e79-ad48-fd5dc655bea0","resolution":{"observed_at":"2026-08-08T23:22:11.404505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.392750Z","title":"Learning time-series shapelets,","venue":null,"work_id":"912f1739-8ec2-4376-818f-86dd870c1c10","year":2014},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.359407Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:9be7dc4ec4321c71807e5745b11a77e8297900bd70791c304767afa2ffbf2a49","observation_id":"a759d61a-4fde-4e56-bb0d-6a0435f7a844","resolution":{"observed_at":"2026-08-08T23:22:11.395675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T23:22:10.773796Z","title":"k-shape: Efficient and accurate cluster- ing of time series,","venue":null,"work_id":"8843125d-a52c-43c7-9d62-0439f1405fb0","year":2016},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.366781Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:38accf8e578d9d4078129ec297dbad16b9d8adec80cf4fc174bf289a19dc2664","observation_id":"134b8a9f-4c93-4a4a-86f0-18ac3d1c0612","resolution":{"observed_at":"2026-08-08T23:22:10.777085Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.383105Z","title":"Fastdtw: Toward accurate dynamic time warping in linear time and space,","venue":null,"work_id":"9d61d69a-6b4e-4989-a4dd-a6f85bc829e2","year":2004},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.370016Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:45eea8ea36304fb8fe7514f035b38b4991efd3b66d7f14a76ad2243f9502debd","observation_id":"857dfb53-00e7-4b29-94b7-a57656ffb821","resolution":{"observed_at":"2026-08-08T23:22:11.386720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.373330Z","title":"Fast template matching,","venue":null,"work_id":"18114086-946d-4c3a-875d-4c7c694aa1ed","year":1994},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.373374Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:5fb700a7827408a70b2aadc013c0cf1f1ade0a360a313ed78ae392c0a73df916","observation_id":"1a0be081-4bb8-409a-a0d1-a8636ed32589","resolution":{"observed_at":"2026-08-08T23:22:11.376568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.363073Z","title":"Stochastic neighbor embedding,","venue":null,"work_id":"e56180e5-c4f6-4e3a-82d2-038ecc5a0af3","year":2002},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.376261Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:b12a6e358a77ba50a659e83f6d3ba75fd825f0463f481e2cc367652f1c4ab5c4","observation_id":"e64b4846-baf1-4757-a84e-df736abde926","resolution":{"observed_at":"2026-08-08T23:22:11.366603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.353024Z","title":"Visualizing data using t-SNE,","venue":null,"work_id":"ecb85985-ac88-4ad8-b302-11f5ddb7c2ba","year":2008},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.379116Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:569d87e0957e2511ea92c365576220421c3e3068e907ffacf0680bf33af53568","observation_id":"af1dff14-3798-444c-87aa-e9652dcc2cf5","resolution":{"observed_at":"2026-08-08T23:22:11.356491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.342931Z","title":"Learning a parametric embedding by preserving local structure","venue":null,"work_id":"22ee0841-5859-49b9-aa94-9bcff7d2fd61","year":2009},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.382490Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:75d2229eadb159580df3684d17f6976de340c6c6725427437ab5e80f85eb74be","observation_id":"0abb711f-2022-4ee6-a3eb-9c3ddff5b95d","resolution":{"observed_at":"2026-08-08T23:22:11.346594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T23:22:10.597962Z","title":"Unsupervised feature learning from time series,","venue":null,"work_id":"ed84ef43-2599-42b4-bdc8-fd2950a20c58","year":2016},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.385320Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:8542833d5ce8a52e5a7dc3e4994386df04da8bbd83fd790121a45df5cd39bbc0","observation_id":"1b1e33ef-4193-4ef1-bb5d-ac590f95a067","resolution":{"observed_at":"2026-08-08T23:22:10.604246Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.332549Z","title":"Self-tuning spectral clustering,","venue":null,"work_id":"0199ef16-b909-4b60-b45a-18f399209b0b","year":2005},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.387989Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:c731cb186c7abdf21a2abfa7fd51c8eb925d3b76c49703ed10c7ce709cdb4d1f","observation_id":"5ecfd268-bffa-4b00-b45a-85fc78537f3f","resolution":{"observed_at":"2026-08-08T23:22:11.336163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.321546Z","title":"Cluster ensembles – a knowledge reuse framework for combining multiple partitions,","venue":null,"work_id":"87d527e7-d565-453a-8d6d-9970d6f65196","year":2002},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.390784Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:df9faabd339337d8de6a00ca7beefff9747202ebd1b68842342b4a1b71534c74","observation_id":"96c5fa8b-5cde-4eb0-b407-f57e8f7bf878","resolution":{"observed_at":"2026-08-08T23:22:11.325372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T23:22:11.310609Z","title":"Discriminative and uncorre- lated feature selection with constrained spectral analysis in unsuper- vised learning,","venue":null,"work_id":"61da9031-42a5-44f4-8e0f-5715f0aa736e","year":2019},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.393386Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:f7f125ad4a9c575bdff2be8fc08ffed6e4fe79dbb95fc6c2ccf65f03074cd894","observation_id":"cd5efcd6-81c2-428f-b669-8b24cb7ae676","resolution":{"observed_at":"2026-08-08T23:22:11.314227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T23:22:10.963651Z","title":"Available: http://doi.acm.org/10.1145/2623330.2623613","venue":null,"work_id":"c28a5412-4c7b-4bc2-9984-b8c1904b72a8","year":null},"citing_paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense","version":1},"reference_index":401,"source":"pdf_text","source_observed_at":"2026-08-08T23:22:10.363361Z"},"links":{"citing_paper":"/paper/2502.04167"},"observation_digest":"sha256:3d7ca1dcfa8cf87ad4a16976750a7fe38a047f3d6bab910747f1d543e8be9df0","observation_id":"701d68a1-44dc-4aba-bd3b-e4c93a1827a8","resolution":{"observed_at":"2026-08-08T23:22:10.969196Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.04167","last_updated":"2025-02-06T15:50:40Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T07:05:40.788541Z","submitted_at":"2025-02-06T15:50:40Z","title":"Making Sense of Touch: Unsupervised Shapelet Learning in Bag-of-words Sense"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":5,"verified_fuzzy":12},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2502.04167."}