{"as_of":"2026-08-15T00:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:42bcb1cf735fab290ea77db644d049ca731e9fdf9866c0d896bec39294f42d2b","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-10T21:09:54.557270Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2607.06796/citation-record","integrity":"/paper/2607.06796/integrity","json":"/paper/2607.06796/citation-record.json","paper":"/paper/2607.06796"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T21:17:41.932882Z","title":"International Joint Conference on Neural Networks (IJCNN)","venue":null,"work_id":"97bd4603-49b3-48c6-a937-a8b19a53cbb6","year":2022},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:b60d1c256ac9201d5392e91b526c7529c088dd57d380eac8e52dbed815bbe256","observation_id":"f6cb4ff1-da1c-4a99-822c-bc979002e717","resolution":{"observed_at":"2026-07-10T21:17:41.947869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.044454Z","title":"IEEE Trans Knowl Data Eng 270(9):2522–2535","venue":null,"work_id":"ec5a9aee-976a-4f0d-aba6-5629fd7d552f","year":2015},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:4e8de19f70a9bd1e61e504c1ff964d05813bbc6a64a4c769ca4c4845ddd4fb58","observation_id":"908141ff-2a7b-4506-bb20-bfffe054bffe","resolution":{"observed_at":"2026-07-10T21:17:42.059668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.062072Z","title":"Data Min Knowl Disc 31:606–660","venue":null,"work_id":"5cb8bb14-58e8-4e57-970e-1a18e0d9c210","year":2017},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:1d224b96584b82233128459423ec3b01fd76c33da45aa21823f7b8c9fe21827a","observation_id":"cccd4d20-a9ef-4c2e-8afd-c7ba58fa26c1","resolution":{"observed_at":"2026-07-10T21:17:42.077236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.227994Z","title":"Inf Sci 569:596–614","venue":null,"work_id":"24425df9-be11-44b8-aa60-3273b783662e","year":2021},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:949eb01e11062a8dc501829d16a89c794205e3ff5d84dbca6fd0f8c0e0f1a5d6","observation_id":"443519e1-b8e5-4248-8388-10c7871eb8cc","resolution":{"observed_at":"2026-07-10T21:17:42.242900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.622102Z","title":"IEEE Trans Pattern Anal Mach Intell 350(8):1798–1828","venue":null,"work_id":"ff4a8157-4c83-4b86-a0ce-8fbba074a37e","year":2013},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:c3687183336f07c294eeda3cabeb1995ec7ec1d093b5ff6fa34949b037428ccd","observation_id":"1bcbb699-c16b-4c23-9892-0e76f3e14a2d","resolution":{"observed_at":"2026-07-10T21:17:41.636962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.864981Z","title":"Inter- national Conference on Big Data Analytics and Knowledge Discovery","venue":null,"work_id":"b8fdb1f6-a5b0-4449-9a31-243a44a7f22b","year":2015},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:c56c1e679e466cdae6c44499d9427fd3746f30499ca2fe48ea9c107cabab21b9","observation_id":"cfa2f443-2cfe-4553-b435-1a2c543ed92b","resolution":{"observed_at":"2026-07-10T21:17:41.879132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.264173Z","title":"In: International conference on Knowledge discovery and data mining","venue":null,"work_id":"e5f241f2-fd2e-4bcb-82ad-3e31f744b464","year":2006},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:2e07e490f1e9ef085effc34ac05054365a8289f83550da38eb380fabb709164e","observation_id":"63beaea3-9a28-4fc9-94bc-39d501a44b9f","resolution":{"observed_at":"2026-07-10T21:17:42.279898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.210709Z","title":"In: International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI)","venue":null,"work_id":"0a2179a1-3238-4952-95cf-78c3c153974d","year":2020},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:c162eb46f0ed6b3e8430843e29d52111595e42c2a8490cd0a65a8da73ee03156","observation_id":"c80d3bef-b888-4a81-8f77-8b7f00ac41c5","resolution":{"observed_at":"2026-07-10T21:17:42.225883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.136494Z","title":"IEEE/CAA J Automatica Sinica 60(6):1293–1305","venue":null,"work_id":"ed0bc9b0-b997-4430-b90a-91d9cd377675","year":2019},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:9fef4ef5acc216df265a07b75ebb2836bd3787d8a8569a33c745e9dbd0dcf0b6","observation_id":"6ff22fb6-e8bd-4108-950a-821addc5b887","resolution":{"observed_at":"2026-07-10T21:17:42.151773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.154022Z","title":"Data Min Knowl Disc 340(5):1454–1495","venue":null,"work_id":"faae12ca-698a-4464-8e32-82a980e582db","year":2020},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:3aadb3f0cca9e8cf4122300191fa99bfc81a3847351f15b85eded64cbad23516","observation_id":"ea70a919-21ae-41e3-87d4-e45ecb9627ff","resolution":{"observed_at":"2026-07-10T21:17:42.171372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.192377Z","title":"In: International Conference on Humanoid Robotics (Humanoids)","venue":null,"work_id":"bb7f72f0-8100-4e37-952e-8154e8c61779","year":2017},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:26341faa7e5c3cec22f99c22c489f07ccf5803bce763210ea2853065a3e18287","observation_id":"93726ed8-9512-4435-bcd6-d78f75ba7934","resolution":{"observed_at":"2026-07-10T21:17:42.208109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16642","last_updated":"2023-05-26T05:30:04Z","snapshot_observed_at":"2026-08-13T11:32:47.701534Z","submitted_at":"2023-05-26T05:30:04Z","title":"Improving Position Encoding of Transformers for Multivariate Time Series Classification","version":1},"cited_work":{"arxiv_id":"2305.16642","doi":"10.48550/arxiv.2305.16642","metadata_source":"pith","pith_arxiv_id":"2305.16642","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"M., Tan, C","venue":"cs.LG","work_id":"ceb9834b-6043-4745-a565-ed90934ce64f","year":2023},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"cited_paper":"/paper/2305.16642","citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:e6331e6872598b4b1fb53e287af6665e56aefd47b54b74203498ef6dd938195c","observation_id":"f33665aa-272e-4d59-b32d-8cfe6bf27629","resolution":{"observed_at":"2026-07-10T21:17:35.962629Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.117001Z","title":"Inf Sci 613:184–203","venue":null,"work_id":"ce856ca9-481f-4bee-bb2e-b03567c1a9f9","year":2022},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:253719a920763c5ffc53252f69b5b15d2d007b4d653a57c6e60c98ed67d6fa7a","observation_id":"0f82f7dd-94b7-41ab-842f-ce016c4849fb","resolution":{"observed_at":"2026-07-10T21:17:42.133741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.173712Z","title":"Int J Comput Vision 129:1789–1819","venue":null,"work_id":"ca9becb5-61be-42d5-8ac4-a00abba8ca18","year":2021},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:83cd52158b84454cef1ff90a78540af08d5716b31856bdecddad031c64182735","observation_id":"d1071e12-e5b2-4914-8704-1eb6c7c663f5","resolution":{"observed_at":"2026-07-10T21:17:42.190025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.245110Z","title":"The Twelfth International Conference on Learning Representations","venue":null,"work_id":"68520bf3-ddf6-4de0-8cb5-b2c09aca61f3","year":2024},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:cffceec7451774a3f08875689bf8bf17d59ea7618351ea9ca75aaa89276e1572","observation_id":"12e5fff6-f2c8-4e6e-8d3a-4ea874b647e1","resolution":{"observed_at":"2026-07-10T21:17:42.262046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-13T15:58:13.809876Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2501.12948","doi":"10.1016/j.artmed.2024.103001","metadata_source":"pith","pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","venue":"cs.CL","work_id":"e6b75ad5-2877-4168-97c8-710407094d20","year":2025},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:fb9abb22543b89a888b060ef4406cdae7016a49307a983d920d7c6f407a6c78a","observation_id":"a2d0d423-dadf-401b-a0a7-636f5f7a4f8d","resolution":{"observed_at":"2026-07-10T21:17:35.939221Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-14T22:57:08.956233Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":"1503.02531","doi":"10.1109/cvpr52733.2024.01515","metadata_source":"pith","pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Distilling the Knowledge in a Neural Network","venue":"stat.ML","work_id":"d927ab1f-17b8-4002-9d09-c3d55764fbad","year":2015},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:c03c705cfe05eb133dd069a9f2fa757cd08e62ec90d93795c42dc8d14e29ebbd","observation_id":"7197e1e7-08b9-4c92-b989-5a3490ffcc35","resolution":{"observed_at":"2026-07-10T21:17:35.846988Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.989544Z","title":"IEEE J Biomed Health Inform 260(1):423–435","venue":null,"work_id":"0ea65328-cc38-4af1-95b8-151dc14628bf","year":2021},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:99694560c4227ce600ff3a18faef345480dbc208146fb3eec90f0f5bfed99346","observation_id":"247c8622-6e2e-43ab-bb52-2452dbcfb97c","resolution":{"observed_at":"2026-07-10T21:17:42.004358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.026661Z","title":"In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), pages 1–10","venue":null,"work_id":"72c9f4f5-f6fd-4f0d-ab73-f58cb5a4f441","year":2023},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:a80fd021c539eb4016d3e66374b20880d870486c929293ce6935a940d8617a3c","observation_id":"827b6ecf-8cb5-4712-affd-5bed897f9cf8","resolution":{"observed_at":"2026-07-10T21:17:42.041845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.950008Z","title":"Data Min Knowl Disc 330(4):917–963","venue":null,"work_id":"81880f4a-1736-4f72-b025-8ac1d6714899","year":2019},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:65c4509a908d734383cd0aee8d76f106e4f609d98c30ad6003378e66a2f8a2ca","observation_id":"cde0250a-2c91-42b0-b911-ed6f8c81005b","resolution":{"observed_at":"2026-07-10T21:17:41.964333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.966599Z","title":"Data Min Knowl Disc 340(6):1936–1962","venue":null,"work_id":"a4302924-b84f-4d0e-a6ce-9f7e4c7312ee","year":2020},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:23de48d2bbbefc0a19f907ff4200c61ba04e2aa0ed901ccab75d605de713d9bb","observation_id":"c2e4f1d7-db53-479f-b8da-984e9bd0a1f9","resolution":{"observed_at":"2026-07-10T21:17:41.987177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.897352Z","title":"Data Min Knowl Disc 30:283–312","venue":null,"work_id":"59b24367-a9f4-40aa-bf07-32a69e82e622","year":2016},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:49ab0c4e77412d9c1952a8597f657cb6588038735808e52c5e2770476a2d8a88","observation_id":"62b497f4-6913-4d5d-b590-646470e4138e","resolution":{"observed_at":"2026-07-10T21:17:41.911428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.913614Z","title":"Inf Sci 582:198–214","venue":null,"work_id":"20dcecca-0ed8-4945-9eb1-e8ef3152eebc","year":2022},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:58a63343ef41e400b5554f535aea2060d43e92a27b3dd91322c6e3ec97917889","observation_id":"c8640ab5-2b05-4bfe-b103-71e12bc9187c","resolution":{"observed_at":"2026-07-10T21:17:41.928169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.006704Z","title":"Inf Sci 547:592–608","venue":null,"work_id":"8f9b3312-f2e9-4315-9812-f2765a276fea","year":2021},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:e92d739cb4326c3f98a0ad9f719dc1ea168b03140254cf022c95158fb0cf7dfa","observation_id":"bdea4cbd-abe2-4f85-8ee0-dea0d48aee5d","resolution":{"observed_at":"2026-07-10T21:17:42.024194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.079354Z","title":"Inf Sci 534:97–116","venue":null,"work_id":"c0623d5e-f8ef-4b06-826a-7775929d31a4","year":2020},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:7bf4b3385d5c6aba15b799ae8bb3c34c151a97b204b27d033d82f58adfe5ef5c","observation_id":"dd115f1e-d208-4037-84e9-e9dd4d3e51ab","resolution":{"observed_at":"2026-07-10T21:17:42.094855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.282754Z","title":"Data Min Knowl Disc 29:565–592","venue":null,"work_id":"5666436f-4a2e-4825-9be3-5ccd3fe3f870","year":2015},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:8407fedf57424a668f5f1e087b40ab1ac0b0f8c2d842ffada7b17be2bf4a70e9","observation_id":"5ad13ece-953a-4a35-897c-240fe9f51d6c","resolution":{"observed_at":"2026-07-10T21:17:42.297779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.881068Z","title":"International conference on data mining (ICDM) 123 215 Page 22 of 24 J","venue":null,"work_id":"d7eb008b-ab22-42f4-b462-a044c6c42f70","year":2016},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:b4bac6981c41d66ba1089a40391842059b33dc751f478231bea680500f96ace3","observation_id":"fb090a6e-9f20-4156-b6f4-635d97c1f3a5","resolution":{"observed_at":"2026-07-10T21:17:41.895055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.832909Z","title":"Pattern Recogn 100:107122","venue":null,"work_id":"485442b2-7a82-4ce2-9986-8213bf00eacf","year":2020},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:59b2d7088b61b293b5bb1c5131604c4e84454d4fc87593e1e294a053cc6ee0ec","observation_id":"a514aa18-14f7-4db3-b188-162195a4b710","resolution":{"observed_at":"2026-07-10T21:17:41.846038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.785869Z","title":"In: International conference on artificial intelligence (AAAI)","venue":null,"work_id":"1c77fde6-6356-4048-ad9e-4d145e993c56","year":2020},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:bd8fa871a3c2be71123e325a28e5c75c8bf4a674a341e03f287450c5b6ca1371","observation_id":"fc3a4c92-e3db-4532-a865-d3f3ad56b1b6","resolution":{"observed_at":"2026-07-10T21:17:41.799711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.801676Z","title":"Knowl Inf Syst 410(1):101–125","venue":null,"work_id":"a61e1cd6-548a-433a-a9f3-d076d2981491","year":2014},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:5e71320452aab6924b3272104caf2b5ef6347275d2f295fe0bb264dcbe71af10","observation_id":"30f5eb46-dde1-47d9-8078-8c9470a68395","resolution":{"observed_at":"2026-07-10T21:17:41.815422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.848605Z","title":"International Joint Conference on Neural Networks (IJCNN)","venue":null,"work_id":"2266d206-a5af-4a0d-ad06-2939e7864347","year":2020},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:c9b7fb49b818f5657810d6b903e430dd8e72a52205487a418fe046cb55f61e62","observation_id":"1930f451-0ff0-4f4b-943e-726d73e6aafc","resolution":{"observed_at":"2026-07-10T21:17:41.863037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.755211Z","title":"Knowl Inf Syst 47:1–26","venue":null,"work_id":"c4aa1b40-18a2-42d0-bf39-76c3014106fd","year":2016},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:65efd9d56694b018781c34466263e570796fa1db26347d269aa44774739232c0","observation_id":"dff0fb10-65ff-4f30-ac13-fd4fc81fa9a0","resolution":{"observed_at":"2026-07-10T21:17:41.768235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.770108Z","title":"NPJ digital medicine 10(1):18","venue":null,"work_id":"971bc248-4cb4-4b3c-8602-19868f3abebb","year":2018},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:5f80a6a871697934390a4155d4ecad44471887340322ed799d58bfb3ae38f60b","observation_id":"5a4e1039-ed7e-432a-b197-f761ab133159","resolution":{"observed_at":"2026-07-10T21:17:41.783671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6550","last_updated":"2015-03-27T11:52:28Z","snapshot_observed_at":"2026-07-06T04:04:16.777653Z","submitted_at":"2014-12-19T22:40:51Z","title":"FitNets: Hints for Thin Deep Nets","version":4},"cited_work":{"arxiv_id":"1412.6550","doi":"10.48550/arxiv.1412.6550","metadata_source":"pith","pith_arxiv_id":"1412.6550","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"FitNets: Hints for Thin Deep Nets","venue":"cs.LG","work_id":"057e16e2-a9fd-4a16-8fa3-8806ac7d3165","year":2014},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"cited_paper":"/paper/1412.6550","citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:eec92190c92f50d1e1924ee61ca0c866af017040476f9dd605b03de1876223e3","observation_id":"b634e78b-7c33-4880-a953-b2a955ad8e1f","resolution":{"observed_at":"2026-07-10T21:17:35.919998Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-07-11T19:50:21.382784+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T19:50:21.382784+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.817357Z","title":"Data Min Knowl Disc 29:1505–1530","venue":null,"work_id":"440e5a8c-2495-4284-8490-539e531b99a0","year":2015},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:c6af4cc2960dddde2b6501e0682d5d3eb0c20e781b3f0ae3cc9d4739d283fee3","observation_id":"d52a34ba-90b9-4b93-98d5-ea7d8b6143d3","resolution":{"observed_at":"2026-07-10T21:17:41.830739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.11065","last_updated":"2019-11-11T21:02:54Z","snapshot_observed_at":"2026-08-10T07:02:40.258796Z","submitted_at":"2019-11-11T21:02:54Z","title":"Knowledge Distillation in Document Retrieval","version":1},"cited_work":{"arxiv_id":"1911.11065","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.11065","snapshot_observed_at":"2026-07-10T21:17:35.868493Z","title":"Knowledge Distillation in Document Retrieval","venue":"cs.IR","work_id":"8dc0dd1e-c657-4b23-b95c-4b7722f15e8a","year":2019},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"cited_paper":"/paper/1911.11065","citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:0f3388ad8b417ea7cfe1acd57251e4bae24dda3023e0921b2de28009b9dae8ea","observation_id":"616e9a66-d3cf-4ad6-97aa-c87eed115b40","resolution":{"observed_at":"2026-07-10T21:17:35.882558Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.09355","last_updated":"2019-08-25T16:13:24Z","snapshot_observed_at":"2026-08-14T21:37:39.248967Z","submitted_at":"2019-08-25T16:13:24Z","title":"Patient Knowledge Distillation for BERT Model Compression","version":1},"cited_work":{"arxiv_id":"1908.09355","doi":"10.48550/arxiv.1908.09355","metadata_source":"pith","pith_arxiv_id":"1908.09355","snapshot_observed_at":"2026-07-10T21:17:35.850483Z","title":"arXiv preprint arXiv:1908.09355 (2019)","venue":"cs.CL","work_id":"15b142b1-fae1-4e20-b8d4-3af74cb8825a","year":2019},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"cited_paper":"/paper/1908.09355","citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:a36da772ab99486301e0dd633bdbd0d3325f3b7edc50136f1cbcc5d9f580c87a","observation_id":"55f7a977-46e9-4096-a08e-95778e262110","resolution":{"observed_at":"2026-07-10T21:17:35.864696Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.705063Z","title":"In: International Conference on Acoustics, Speech and Signal Processing (ICASSP)","venue":null,"work_id":"46f61763-4bfe-40c0-9ba5-f904e10522c3","year":2018},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:03741e37eafd237b7079b8a1d47a297ce9778c7fb8fa8a471dbb8f737728e84f","observation_id":"e4ea91ab-06af-4664-a392-9d1cd7947c87","resolution":{"observed_at":"2026-07-10T21:17:41.720085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.689286Z","title":"Knowl Inf Syst 650(11):4967–5004","venue":null,"work_id":"ee63a4cb-12e2-4693-95ee-ef5723ec5b6b","year":2023},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:cc9f94de35b3baf515f516fc43c19485b3e8784bca60dab5b2661db8a295864d","observation_id":"153e4e86-6c48-4860-9231-846fd322a6dd","resolution":{"observed_at":"2026-07-10T21:17:41.703121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.672065Z","title":"Pattern Recogn 89:55–66","venue":null,"work_id":"95ac74d1-3a65-4d2a-bca1-e8f9d56f2f67","year":2019},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:73560adc94db87713655fd8bd10ed1e3223b43e1a0a64f623be78d10c389178e","observation_id":"7d631cd1-c504-4986-9446-c840f4f93d8f","resolution":{"observed_at":"2026-07-10T21:17:41.686569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:42.097489Z","title":"International joint conference on neural networks (IJCNN)","venue":null,"work_id":"20503cc5-33c9-49eb-9f2e-d8af2b465f1e","year":2017},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:1b24bed01efabdb4825dc309b4ffbed4630529d2817842386231a4cc478633cd","observation_id":"cccf95a4-cd9c-479d-b766-4c160b71a096","resolution":{"observed_at":"2026-07-10T21:17:42.114163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.656327Z","title":"Pattern Recogn 111:0–107722","venue":null,"work_id":"3fd752ce-925d-4c19-89d3-bd9257fdcc3b","year":2021},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:8aa6b9f8e3e30ba7dcc61acce93eb076729036d58d3850f03e7797d6893c0eae","observation_id":"94a01192-b888-4641-ae84-2d42ec15abf6","resolution":{"observed_at":"2026-07-10T21:17:41.670076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.722443Z","title":"Neurocomputing 485:242–251","venue":null,"work_id":"a7911ad6-f369-437f-84e5-ea78c63d2689","year":2022},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:c554753b6911f46ea2fa2ec6839435ad771a0290278b840904ba70a7a5c80cdc","observation_id":"678dd3b7-9ec2-424d-b78f-0ac01a771b98","resolution":{"observed_at":"2026-07-10T21:17:41.737609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.739523Z","title":"Pattern Recogn 88:272–284","venue":null,"work_id":"0f10a925-d414-4b38-95c6-8a7b082dc923","year":2019},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:166e9817d952174b881cbb8c4244c43ef1e909e74c3869effb1a1fdace1906d7","observation_id":"6c1f3aa5-92ed-44f4-9a4a-8138c99818f0","resolution":{"observed_at":"2026-07-10T21:17:41.753201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13116","last_updated":"2024-10-21T16:22:33Z","snapshot_observed_at":"2026-08-10T17:26:33.432994Z","submitted_at":"2024-02-20T16:17:37Z","title":"A Survey on Knowledge Distillation of Large Language Models","version":4},"cited_work":{"arxiv_id":"2402.13116","doi":"10.48550/arxiv.2402.13116","metadata_source":"pith","pith_arxiv_id":"2402.13116","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Survey on Knowledge Distillation of Large Language Models","venue":"cs.CL","work_id":"b1dcdadf-875e-4695-8fcf-0907c69302f3","year":2024},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"cited_paper":"/paper/2402.13116","citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:1e2b263cee468314ec6b1fdaf464a8e2305be88e29a4f645d66256dfd456b36c","observation_id":"49fe3a1d-12d2-42d8-adc4-c5a9a3042d90","resolution":{"observed_at":"2026-07-10T21:17:35.900816Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-07-11T12:49:12.049248+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T12:49:12.049248+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.03756","last_updated":"2024-01-05T06:49:04Z","snapshot_observed_at":"2026-08-13T11:00:53.545303Z","submitted_at":"2023-07-06T15:01:58Z","title":"FITS: Modeling Time Series with $10k$ Parameters","version":3},"cited_work":{"arxiv_id":"2307.03756","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.03756","snapshot_observed_at":"2026-07-10T21:17:35.815777Z","title":"Fits: Modeling time series with 10 k parameters","venue":"cs.LG","work_id":"2cf9ae57-c97e-47ce-ae10-bff27d16e439","year":2023},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"cited_paper":"/paper/2307.03756","citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:e4e3ea8f2e73eb0852f3662f8a5adc14e7357763bbe0a53b93b0dae4f597b5c1","observation_id":"a4f7b7cf-b1ca-421d-858a-c48128ee1312","resolution":{"observed_at":"2026-07-10T21:17:35.829738Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.639177Z","title":"Int J Inf Technol Decis Making 50(04):597–604","venue":null,"work_id":"d5c8dced-61ca-4e32-bde7-6a62ba2baab1","year":2006},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:d969cd364a4a30f3a0accea5ec6b2fe32fd54834ca0fe9d2027e8425be358003","observation_id":"a4e53903-8959-4f1d-a347-3927bbd5d2be","resolution":{"observed_at":"2026-07-10T21:17:41.654049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.589103Z","title":"In International conference on computer vision and pattern recognition (CVPR)","venue":null,"work_id":"95d53160-b70c-4008-9445-f14f807ea856","year":2017},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:186f37f3099c848e7a15e2310e6c2609ca4b8f2ad5d79c969e0c037be82b5f8e","observation_id":"abcac3ff-f6eb-48a1-96b8-a56752c7018c","resolution":{"observed_at":"2026-07-10T21:17:41.603712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.606192Z","title":null,"venue":null,"work_id":"35ab0224-c736-49dd-91f4-08077356ea10","year":2023},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:d148e69dfb8a88b2e0f4dbd4450f8cde094ad1b16ecf8adf77446e3780ad6d6e","observation_id":"ab85f4dd-b343-47e5-b551-97b56088cd1d","resolution":{"observed_at":"2026-07-10T21:17:41.619995Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T21:17:41.571862Z","title":"Pattern Recogn 123:108385 Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations","venue":null,"work_id":"0386ccb8-29b1-4539-9f95-8519f4a76a70","year":2022},"citing_paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-10T21:09:54.557270Z"},"links":{"citing_paper":"/paper/2607.06796"},"observation_digest":"sha256:845750bcc9c7e6a8a70e8e2ed208c1b243779b86180ef3bf410793e4a4eef316","observation_id":"c5eb81fd-b7fc-4522-85b8-8c46e1c5aa49","resolution":{"observed_at":"2026-07-10T21:17:41.586744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.06796","last_updated":"2026-07-07T20:51:22Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T23:17:07.596961Z","submitted_at":"2026-07-07T20:51:22Z","title":"Enhancing deep learning models for time series classification via knowledge distillation"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":6,"parse_uncertain":0,"unresolved":1,"verified_exact":2,"verified_fuzzy":41},"total_outbound_references":50},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.06796."}