{"as_of":"2026-08-19T19:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f73c67d8d5fc126e849bd7288388193477b13fd3854c44ff4519f23d6e8c6561","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:56:26.629636Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2504.14307/citation-record","integrity":"/paper/2504.14307/integrity","json":"/paper/2504.14307/citation-record.json","paper":"/paper/2504.14307"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:27.375985Z","title":"ICLR (2020)","venue":null,"work_id":"b9be027d-fe88-47d2-b998-73ef0857bab5","year":2020},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.412940Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:e50f6e966a7b8aa2d9389755d267f833db6bc6001d924329cbadf9196c5eedd9","observation_id":"e5d3ebd2-1a96-4e4a-910b-a2796db5bccc","resolution":{"observed_at":"2026-08-16T11:56:27.380881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.358571Z","title":"In: ESANN (2013)","venue":null,"work_id":"d467c613-73d8-4630-bdd4-d4edae6e4f99","year":2013},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.418327Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:dbbc49d2162de1ffa0fcdbfe760d84cfc854d86f29bafc2fffb73066b80101fa","observation_id":"816a6fb7-641b-481f-b309-fd449a693afd","resolution":{"observed_at":"2026-08-16T11:56:27.364118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.340501Z","title":"In: IEEE/CVF CVPRw (2023)","venue":null,"work_id":"07b612ee-04d9-4de4-9f3f-4187358f49d6","year":2023},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.423126Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:2f44b0f961641e5ce0dbebe5d93fc71496d1b180e1be8a6c26b8c2af20b2e7fa","observation_id":"e7e92e62-1631-4fa5-8e91-9512a06bde6b","resolution":{"observed_at":"2026-08-16T11:56:27.346420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.13088","last_updated":"2021-10-15T06:25:44Z","snapshot_observed_at":"2026-08-17T23:28:52.061646Z","submitted_at":"2021-02-25T18:56:09Z","title":"Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation","version":2},"cited_work":{"arxiv_id":"2102.13088","doi":null,"metadata_source":"pith","pith_arxiv_id":"2102.13088","snapshot_observed_at":"2026-08-16T11:56:26.797059Z","title":"Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation","venue":"cs.LG","work_id":"06d212ff-b5a9-4df5-ace9-7de0505b77f0","year":2021},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.428582Z"},"links":{"cited_paper":"/paper/2102.13088","citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:1356f270027ad3b6bcafcfa6dd70282bcae21f09a6288e356bdbd047cd25c02c","observation_id":"92a1cb02-b8dd-40b8-8592-68c6cc175817","resolution":{"observed_at":"2026-08-16T11:56:26.802655Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.325036Z","title":"In: Proceedings of the 12th ACM SIGKDD","venue":null,"work_id":"c279aaa5-93db-42be-a9d9-d986e2453a81","year":2006},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.434026Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:cad9f708d1008591acf7c616401c1572960a798b5c425d7bf61367e50a72ce04","observation_id":"979b8a69-7afb-455d-b92e-175a0e70b239","resolution":{"observed_at":"2026-08-16T11:56:27.329845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.309587Z","title":"In: Neural IPS Datasets and Benchmarks Track (2023)","venue":null,"work_id":"20655688-e78d-4d56-8f3b-3418eed23a26","year":2023},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.438948Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:f7d2e8c39afff6a0e4cd11716d3ad969b23e0a00677fec1128a9b929ccd1a31e","observation_id":"4c088c1a-d5c2-4143-a0c8-94dbddc06b85","resolution":{"observed_at":"2026-08-16T11:56:27.314376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.292057Z","title":null,"venue":null,"work_id":"36fa80f7-c6ed-414f-8e67-682355d1de1d","year":2017},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.444434Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:918f65fec88f6bb334a16c15e472331369977ead6c69665c6756878e9a3fe4a6","observation_id":"4ffe7689-9190-404e-9968-3ebd2cc9cdba","resolution":{"observed_at":"2026-08-16T11:56:27.297327Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.275782Z","title":"IEEE/CAA Journal of Automatica Sinica (2019)","venue":null,"work_id":"b87d2178-3fbb-4879-bb01-b99ad7c68e1b","year":2019},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.449250Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:833281dc5351f4f4e64e3abb05c59195973cc685b1f601acb80bdf45d3a73141","observation_id":"1a293599-7d32-42a4-8c94-0f1f75fcf27e","resolution":{"observed_at":"2026-08-16T11:56:27.280844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.02757","last_updated":"2020-06-25T03:57:04Z","snapshot_observed_at":"2026-08-19T03:38:32.285921Z","submitted_at":"2019-12-05T17:48:18Z","title":"Deep Ensembles: A Loss Landscape Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.02757","snapshot_observed_at":"2026-08-16T11:56:26.454798Z","title":"arXiv 1912.02757 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.454798Z"},"links":{"cited_paper":"/paper/1912.02757","citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:2090f36288d8e324c13e33f8a8f4eae2f08640ded3e88141791ccb62b80a6099","observation_id":"635f33ac-0bf5-4e80-9df6-fa8552a1e172","resolution":{"observed_at":"2026-08-16T11:56:26.454798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:26.459937Z","title":"In: ICML (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.459937Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:4fe77b3b3fabe1fd4da8ab737bf3e60bcd1c86f4f14820e0107cff0f2a74b20b","observation_id":"12ea5d28-0bb3-4fa9-8649-41cdc1c3e908","resolution":{"observed_at":"2026-08-16T11:56:26.459937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:27.249590Z","title":null,"venue":null,"work_id":"2caf1d2a-8873-412a-91bb-debbe6e8db44","year":2016},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.464648Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:1aa649f347fc154aae1c0d5680b99264449e90f59bdc5e315926e3a87156a573","observation_id":"fd83e965-bda5-407d-a0a9-f75b7d70880e","resolution":{"observed_at":"2026-08-16T11:56:27.254297Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-16T18:00:58.008096Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-16T11:56:26.469458Z","title":"arXiv 1503.02531 (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.469458Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:ebbbe6c41b0a91631a7775f9cb58019e5873cf13bca42b78f1118005ec041ff5","observation_id":"fe0ffe74-33da-48e7-ac7c-0a7f1b124174","resolution":{"observed_at":"2026-08-16T11:56:26.469458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:26.475492Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.475492Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:b07bad5507cc2426c00b5c90dccd01b38b4728435b7002206a7ba11de5499630","observation_id":"d05c172f-0fea-46a8-b08e-3a92187088a5","resolution":{"observed_at":"2026-08-16T11:56:26.475492Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:27.221076Z","title":"SAC '23, ACM (2023)","venue":null,"work_id":"0ce19d98-d593-4c8b-8a4b-00b349fa3fe5","year":2023},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.480362Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:579c440aa8ee0271303b42f79c08a9ad09ec0886fcec0f3dba8fc01d9f513b70","observation_id":"7d198503-429a-44d6-aaad-570e90fc222e","resolution":{"observed_at":"2026-08-16T11:56:27.227605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.204271Z","title":"ESWA 235 (2024)","venue":null,"work_id":"fd5457a7-cf6c-423e-b7be-d9a1f3ffdf57","year":2024},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.485032Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:ed007d63dbaa7a692c945a3207d4ece8bed7b631b7ac1b72cbaa06fb862f7d84","observation_id":"b542bccd-a9ec-45d5-af02-63ab8de055d0","resolution":{"observed_at":"2026-08-16T11:56:27.209100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.188559Z","title":"IEEE JSTSP (2016)","venue":null,"work_id":"1858f8dd-2439-4e95-a1b3-04b3c58698ea","year":2016},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.489667Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:9d52444ab8ce781508884ac4edb7fc42522dc5c35337bcdff34c43a52aaca453","observation_id":"9f292768-a038-422d-9214-37d96b9effa6","resolution":{"observed_at":"2026-08-16T11:56:27.193524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.172983Z","title":"In: NeurIPS 2017","venue":null,"work_id":"1fa1ac71-fa64-4f69-8d08-12781d7bdf09","year":2017},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.494138Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:4b964d020009a09b8b8d8ed46601df90fc6df78d62c58665aa1fa2927ad7a1a8","observation_id":"15cc6f83-f65a-495e-88be-1ff1ac5dc12d","resolution":{"observed_at":"2026-08-16T11:56:27.177639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.157631Z","title":"In: ICLR 2024","venue":null,"work_id":"c58ed477-75b5-4b72-ac60-d96c1f775b94","year":2024},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.498620Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:ae9f8e054b3698f4b838e27966ed68e273d19cfe3e8dd899814cd8c39cf027ea","observation_id":"8ea454d3-93b8-4558-ab37-97ecd903315b","resolution":{"observed_at":"2026-08-16T11:56:27.162342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.141903Z","title":"IEEE TNNLS (2023)","venue":null,"work_id":"f5ba43e4-6a13-4f54-aa16-c907663e6350","year":2023},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.503284Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:818c8bcbcaed11f5a91b8f09771ce3bf2a3e3e97099f2896b038375f19dc5323","observation_id":"ab05f18b-7c19-4315-a9af-69b83d3ea96a","resolution":{"observed_at":"2026-08-16T11:56:27.146592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.125525Z","title":"et al.: Ensembles of low-rank expert adapters (2025),","venue":null,"work_id":"64bcb95e-bd5b-4404-b8c8-29e550a72296","year":2025},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.508105Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:f042f9e7f7241fca5558ed73f789737d06e55ecdeaae6089d9a8544229949561","observation_id":"a8b69d50-a6e8-4bb5-9a57-8a71fa73422e","resolution":{"observed_at":"2026-08-16T11:56:27.130538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.110158Z","title":"learning (2021)","venue":null,"work_id":"5bb3ebb4-633b-4d2d-bae8-1f111a8200fb","year":2021},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.512754Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:0f660f190786ea69fce9795471be13bae8f2ace500130e3e7163ed6c748cd72b","observation_id":"864a8b53-5985-4c23-834a-eeda3fc185db","resolution":{"observed_at":"2026-08-16T11:56:27.114836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.093822Z","title":"In: IEEE EMBC 2018","venue":null,"work_id":"7db2de96-ad48-4398-b50c-8b43f400f8df","year":2018},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.517250Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:a30351cdab363fe816086d0dfd382139b6f302c70158c9d98e2448b2dfebc0fe","observation_id":"9a618106-cdbb-4ee0-9326-bb542100d92b","resolution":{"observed_at":"2026-08-16T11:56:27.099110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.076962Z","title":"In: IEEE ACIIw 2017","venue":null,"work_id":"42ac9692-9b5e-4605-bea9-0236ae42d82e","year":2017},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.521815Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:3dbec780d0843ee65ce870389cfede4a654ae1c46734bd198f9531dfa5a6ed31","observation_id":"f34a34e8-ed32-49e2-9c30-26c230f06585","resolution":{"observed_at":"2026-08-16T11:56:27.082592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.061652Z","title":"Frontiers in Physiology 14 (2023)","venue":null,"work_id":"1fb01507-fe7d-4f67-ab23-cb37ec541a94","year":2023},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.526335Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:9ce97b8e0cde5f48efcc06846a70c81013414e8019b195e744f0007d44f75727","observation_id":"8b365105-d0b8-409e-bef9-3cb1a109d4f5","resolution":{"observed_at":"2026-08-16T11:56:27.066471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.05715","last_updated":"2020-10-26T17:29:22Z","snapshot_observed_at":"2026-08-17T16:37:06.941023Z","submitted_at":"2020-02-13T18:56:06Z","title":"Self-Distillation Amplifies Regularization in Hilbert Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.05715","snapshot_observed_at":"2026-08-16T11:56:26.530891Z","title":"arXiv 2002.05715 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.530891Z"},"links":{"cited_paper":"/paper/2002.05715","citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:b89a2bdc70fea53f23d264ad96193beeffa8297d838a53ce84778a88808b36b9","observation_id":"46cac7d6-abde-4f6d-882d-3dd8a55e09c7","resolution":{"observed_at":"2026-08-16T11:56:26.530891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:27.045931Z","title":"In: NeurIPS 2019","venue":null,"work_id":"bd3d59d8-fff8-46f6-b20c-33746a0361f8","year":2019},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.536244Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:c229c0ac8557a963441b1e2dabfb640703e1cc6d1bf40d1a78609e59fc5cc5b9","observation_id":"7484e845-8c3c-4456-9057-bf71033d380e","resolution":{"observed_at":"2026-08-16T11:56:27.050755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.030486Z","title":"In: CVPR '19","venue":null,"work_id":"c3b1d969-0c1b-4ae2-9699-12c7cf11dbaf","year":null},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.540609Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:d36dbca70ee750fd9a358078c04de422c581eb817aaf27abeb9c9f46513e5e18","observation_id":"927f9cbd-affe-46d9-a7b1-4ef5173c7ac0","resolution":{"observed_at":"2026-08-16T11:56:27.035464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:27.015158Z","title":"PlusOne Journal 2021","venue":null,"work_id":"1847ebd8-5869-4f55-8755-c8570448baa3","year":2021},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.545921Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:9dce0f0dc1f08001ebd56ebcc2ff3557b22c04472231197770f5fea3e0b8f8aa","observation_id":"61f7b281-476a-4bf8-aaf0-db9531b3d25a","resolution":{"observed_at":"2026-08-16T11:56:27.020352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:26.999396Z","title":"In: ICLR 2015","venue":null,"work_id":"4910c973-e144-468a-93cd-5e1e5164e4b1","year":2015},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.550546Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:673d77d66840a9702bf3178ed407378c6bd014bc338e4a6ec32f867ab54620f4","observation_id":"1fee8723-77cc-45c6-bae1-dcd87b6e0fbe","resolution":{"observed_at":"2026-08-16T11:56:27.004685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:26.983292Z","title":"AAAI 38(13), 14875--14885 (Mar 2024)","venue":null,"work_id":"23b7f776-6053-4351-bee8-47d1f1b7f1eb","year":2024},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.555382Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:96996e2a4b1de95b8b3b4a0f8fa5d7c8c364eea8691c8bb30de422cef333eef9","observation_id":"c288d866-825f-4dbb-941f-d3c9ee3b1dce","resolution":{"observed_at":"2026-08-16T11:56:26.988191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:26.966672Z","title":"Springer International Publishing, ICOST (2022)","venue":null,"work_id":"814a5a0f-8201-436d-a191-719329bb81cd","year":2022},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.560283Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:c568bec14859d633b5c4a8d9403e8d000585e26451ec105df73bf9597b4d194a","observation_id":"2f11a176-77c4-45a8-a930-6362e264102b","resolution":{"observed_at":"2026-08-16T11:56:26.972076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.05945","last_updated":"2021-12-06T18:19:02Z","snapshot_observed_at":"2026-08-16T18:18:00.501362Z","submitted_at":"2021-06-10T17:44:02Z","title":"Does Knowledge Distillation Really Work?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.05945","snapshot_observed_at":"2026-08-16T11:56:26.564898Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.564898Z"},"links":{"cited_paper":"/paper/2106.05945","citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:9e94aacb73f44ae2557d8653e421baa2e250de028ce90ac45ef8e9100dffba21","observation_id":"2b3ae51e-fee1-4a50-9029-7349ef6a6873","resolution":{"observed_at":"2026-08-16T11:56:26.564898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:26.951219Z","title":"Sensors 19, 4503 (2019)","venue":null,"work_id":"37ac5550-fb6d-4b78-a1dd-b44137e504e3","year":2019},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.570254Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:c5bd18d06b2add6b76d8c9d04d6cc1ba786d645e9def201bc2ba6e3f77b5da8c","observation_id":"ce1ae91d-94d4-4f8d-9af0-339ab4116dd0","resolution":{"observed_at":"2026-08-16T11:56:26.955960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:26.935532Z","title":"Frontiers in Physiology 2022","venue":null,"work_id":"7fd00007-beb3-49a7-8191-e9518af791a4","year":2022},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.575086Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:ae22c554e0980e04436ab3afa3d478c4dfa16a46d288dcbe96647090abf51fc7","observation_id":"e87e5264-91d3-4c4d-a60b-b67d354376e3","resolution":{"observed_at":"2026-08-16T11:56:26.940528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:26.917796Z","title":"In: IEEE ICC 2013","venue":null,"work_id":"c991ea65-b4a5-4b70-a1cd-14cbe6924e81","year":2013},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.579913Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:57b81f2b2c3de1203b45f99e4d31c722312a4c85f6d10c214f61caec884231c4","observation_id":"d82feb25-a595-465c-8fe6-35a3529b07b8","resolution":{"observed_at":"2026-08-16T11:56:26.923297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:26.901463Z","title":"In: 42nd IEEE EMBC (2020)","venue":null,"work_id":"8a8e5abb-ed01-4a67-a367-424142639cd5","year":2020},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.585847Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:2fd1439dc3f87ecdc275d062f690b5f9e362fee127e0aa917953cb67cc492c53","observation_id":"f5f97919-1d93-46a9-b4ee-19a880920842","resolution":{"observed_at":"2026-08-16T11:56:26.906208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:26.884732Z","title":"IEEE TAC 2016","venue":null,"work_id":"77ed8393-02b4-4243-ab46-fd028ff0e530","year":2016},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.590371Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:2d21899e3c4bab61ceb23e327bce009060255193b38b78e3788e35dccceffbc6","observation_id":"c9eab117-a838-409e-991c-a6a83e49a9ee","resolution":{"observed_at":"2026-08-16T11:56:26.890508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T11:56:26.868577Z","title":"In: ICPR 2014","venue":null,"work_id":"1434208f-e861-4e73-b030-8d4faa6f890f","year":2014},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.594735Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:3f83ff50bc702c20bbde9e522a10a9bbe9c3887474ab8d5933cb4d15cfd5a912","observation_id":"2869708a-9faa-4466-a5f4-b7ef0d5be744","resolution":{"observed_at":"2026-08-16T11:56:26.873398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05482","last_updated":"2022-07-01T23:48:19Z","snapshot_observed_at":"2026-08-18T15:15:29.657544Z","submitted_at":"2022-03-10T17:03:49Z","title":"Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.05482","snapshot_observed_at":"2026-08-16T11:56:26.599388Z","title":"arXiv 2203.05482 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.599388Z"},"links":{"cited_paper":"/paper/2203.05482","citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:47a80305763dce5c1ee67656da84bab4b6473a9638fde317df7fd52deb80bce9","observation_id":"9329f4c8-7c27-4bbd-a98c-895099d0b21a","resolution":{"observed_at":"2026-08-16T11:56:26.599388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:26.853125Z","title":"In: AAAI (2021)","venue":null,"work_id":"57003a8d-445b-425c-914b-9b4a9b7b8f55","year":2021},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.604129Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:c04086e4112edaec0a8a3f520991703c4363b67b39e2f1ceda291a34eff19c7d","observation_id":"c44225c9-9c12-49e2-ad3b-8cf145cf2270","resolution":{"observed_at":"2026-08-16T11:56:26.857837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1612.03928","last_updated":"2017-02-12T22:05:47Z","snapshot_observed_at":"2026-08-17T23:26:36.824318Z","submitted_at":"2016-12-12T21:15:57Z","title":"Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1612.03928","snapshot_observed_at":"2026-08-16T11:56:26.608711Z","title":"arXiv 1612.03928 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.608711Z"},"links":{"cited_paper":"/paper/1612.03928","citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:680e21b3f94381b84465315bcb8af60175099206ad1221fca7eae309e23bab6e","observation_id":"07f3d087-70f9-447c-80e5-09086e3da01d","resolution":{"observed_at":"2026-08-16T11:56:26.608711Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:26.836236Z","title":"IEEE T-PAMI 44(8), 4388--4403 (2021)","venue":null,"work_id":"ddab6601-88d6-4d18-a31b-62af96d2540f","year":2021},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.613694Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:19947ed0800f298d8ed302c914745904e1b7c2447c098584db5672e5b689c7d4","observation_id":"e1821a33-219f-4479-8f09-9dcab77727cd","resolution":{"observed_at":"2026-08-16T11:56:26.841711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.05065","last_updated":"2020-10-22T03:23:39Z","snapshot_observed_at":"2026-08-09T14:13:27.210712Z","submitted_at":"2020-06-09T06:06:30Z","title":"Self-Distillation as Instance-Specific Label Smoothing","version":2},"cited_work":{"arxiv_id":"2006.05065","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.05065","snapshot_observed_at":"2026-08-16T11:56:26.667748Z","title":"Self-Distillation as Instance-Specific Label Smoothing","venue":"cs.LG","work_id":"cb41f605-dea3-4382-8dcf-c48e809f2509","year":2020},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.618266Z"},"links":{"cited_paper":"/paper/2006.05065","citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:cfabb6b512b80dceacae756446260d3e36cc138c8edb840f1e59e47c8b882202","observation_id":"5fcb2cb4-f604-45a0-a620-06f72ef20e8f","resolution":{"observed_at":"2026-08-16T11:56:26.675190Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:26.623565Z","title":", \" * write output.state after.block = add.period write","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.623565Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:a9900bef1dd5136842c9e14942b5a57c53efeb3bc3146ce3abd67f0526ac231e","observation_id":"333ea2c1-6151-4163-b1f7-4c8d86021638","resolution":{"observed_at":"2026-08-16T11:56:26.623565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:56:26.629636Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-16T11:56:26.629636Z"},"links":{"citing_paper":"/paper/2504.14307"},"observation_digest":"sha256:606ee9f77efa0b8801941423b683cae1df8f9912767a8219ce546457934ccf14","observation_id":"089c0084-3891-436c-ab7a-b234ee70f149","resolution":{"observed_at":"2026-08-16T11:56:26.629636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.14307","last_updated":"2025-06-23T20:04:22Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T15:55:46.666050Z","submitted_at":"2025-04-19T14:08:56Z","title":"Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":45},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2504.14307."}