{"as_of":"2026-08-15T18:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:599b3642810bc751994599ff87a982a3d1f2568e08f050c158163f2256bbf053","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:42:22.603505Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2608.08572/citation-record","integrity":"/paper/2608.08572/integrity","json":"/paper/2608.08572/citation-record.json","paper":"/paper/2608.08572"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:42:24.828907Z","title":"Bucila, R","venue":null,"work_id":"68ef90b9-5bec-483f-a451-08db19336a1d","year":2006},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.351468Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:ddbbefbaa79daa3b0e80ae3eecc5a6277feb89aeff861861790c57b98e12ceb1","observation_id":"fd7fe4da-1469-4a88-9f1e-254b8145fe9e","resolution":{"observed_at":"2026-08-14T04:42:24.844877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.772678Z","title":"Ba and R","venue":null,"work_id":"db0d9101-407c-4896-ad39-b7283988005f","year":2014},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.356382Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:4468feb83615a381680990a22220ce5d53f4fd76ad1fe5cf0602527c31926498","observation_id":"d00178be-ca4d-4f0b-81dd-a5d538b614c7","resolution":{"observed_at":"2026-08-14T04:42:24.784841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-14T04:42:22.360605Z","title":"Hinton, O","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.360605Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:90b548d9fa20a94acb9595ac5ed6e6cc8a366d0c7dd9b806443410e18655f2ac","observation_id":"12062fc0-31aa-40f1-948a-eea279bc10ef","resolution":{"observed_at":"2026-08-14T04:42:22.360605Z","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":"2026-08-14T04:42:24.729478Z","title":null,"venue":null,"work_id":"43f7347d-82b1-4c38-87cc-cb78dc47a28a","year":2021},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.365435Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:475fb93bab8dc4d495157a09676e7a9454f38d61a705b60f392f040bdb34736c","observation_id":"29684450-4d32-4301-a5f6-5a35357ddafe","resolution":{"observed_at":"2026-08-14T04:42:24.756686Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.688166Z","title":null,"venue":null,"work_id":"8a815571-2a60-4da8-941d-6cd7a045612e","year":2021},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.369648Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:ce5b7be2513ca0bf0f783bfde3d4848a110565bd3f4f7885126031dcac220591","observation_id":"f21c0d57-8699-4448-abd7-292714c16574","resolution":{"observed_at":"2026-08-14T04:42:24.692172Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.673097Z","title":"Stanton, P","venue":null,"work_id":"ed481e3f-146e-4105-a19a-4f97187b5427","year":2021},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.373859Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:a1363b8f8c163bb9b238e196f9f077538b4be7ff0727ab6d0c714608b4a8c95f","observation_id":"3364f0b1-aee9-48ff-8ad7-59b60fe477ea","resolution":{"observed_at":"2026-08-14T04:42:24.679862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.658993Z","title":"Kim and A","venue":null,"work_id":"691d3ee3-933d-4fe1-8bd6-63f574046434","year":2016},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.377893Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:cec444b29f31a4f15686cf486949a11f5826fde61a2528b215965d330e46f428","observation_id":"0d7d4e37-a22b-4430-be0c-cc83712af47d","resolution":{"observed_at":"2026-08-14T04:42:24.664535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.01108","last_updated":"2020-03-01T02:57:50Z","snapshot_observed_at":"2026-08-07T19:07:36.327251Z","submitted_at":"2019-10-02T17:56:28Z","title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.01108","snapshot_observed_at":"2026-08-14T04:42:22.381189Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.381189Z"},"links":{"cited_paper":"/paper/1910.01108","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:62fe42c3aaf7ee89c2ac52a11b368a64ab11bff6b9ca82937296d9cfd537baab","observation_id":"c234de3f-7bbf-4b46-8645-8cccff766b44","resolution":{"observed_at":"2026-08-14T04:42:22.381189Z","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":"2026-08-14T04:42:24.639852Z","title":"Jiao et al","venue":null,"work_id":"22ddf8da-108e-4f6c-9744-19a55d6d117f","year":2020},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.385373Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:1448641e8ea5bcc6977a8b274b8345eff75a655ecfb27b14730fd1240e2ec221","observation_id":"61cc9d7c-b7f3-4c79-8b59-5e62578f53f7","resolution":{"observed_at":"2026-08-14T04:42:24.650188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.621139Z","title":"Wang et al","venue":null,"work_id":"fc3c6e86-2ad0-4241-ac79-7a5eedc1fe13","year":2020},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.388615Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:ebfba380dbd22484feff6295de829780b8a54efd143d37789b5e75be98340cb4","observation_id":"35153df7-9a2e-4a04-adaa-e936cb6172b8","resolution":{"observed_at":"2026-08-14T04:42:24.625567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13116","snapshot_observed_at":"2026-08-14T04:42:22.392147Z","title":"Xu et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.392147Z"},"links":{"cited_paper":"/paper/2402.13116","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:681651dd04c20deb817b886a82b149f3bc55a1442850ef627b47355e0824d35e","observation_id":"3c267e97-4655-4808-ab3c-564362f690cb","resolution":{"observed_at":"2026-08-14T04:42:22.392147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03898","last_updated":"2024-07-03T04:57:41Z","snapshot_observed_at":"2026-08-14T16:35:56.358724Z","submitted_at":"2024-02-06T11:10:35Z","title":"DistiLLM: Towards Streamlined Distillation for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03898","snapshot_observed_at":"2026-08-14T04:42:22.396440Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.396440Z"},"links":{"cited_paper":"/paper/2402.03898","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:a18a38a5b6df174e20e71981eeb9d7c89b78ef57b6b947cc96a737228804d8ca","observation_id":"6bed0a0b-3442-47ad-9654-7cd59b7a9f2f","resolution":{"observed_at":"2026-08-14T04:42:22.396440Z","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":"2026-08-14T04:42:24.569581Z","title":"Hsieh et al","venue":null,"work_id":"5e928a57-4de3-44b1-a90c-31383ce3821a","year":2023},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.403205Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:6838424f52c135da10339f24372b1341a98e7db6fe6961e36d2f6c4149103037","observation_id":"b9039656-b7c4-467f-954e-94405bce2878","resolution":{"observed_at":"2026-08-14T04:42:24.575258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.550471Z","title":null,"venue":null,"work_id":"152818d2-300b-4e58-babf-08afbb3e78c4","year":2023},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.408512Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:4ad06232e7e4c850b19bf59ce23e8db2a602d0c7251d939c7abf71ceb4bfe95b","observation_id":"4a75771c-6103-4005-991c-4964e17e3a94","resolution":{"observed_at":"2026-08-14T04:42:24.554518Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.533576Z","title":"Busbridge et al., Distillation scaling laws, Proc","venue":null,"work_id":"4bff8071-9224-4897-be50-ad93e111e722","year":2025},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.413933Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:9d3252fe87e052de17dcf58b3f7c65a0d7f3f95f998fddc431c82f4ebdbf086b","observation_id":"cdc5c83c-7798-41de-9bef-7d0050429b60","resolution":{"observed_at":"2026-08-14T04:42:24.539357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.00861","last_updated":"2021-12-09T21:40:22Z","snapshot_observed_at":"2026-08-10T12:03:10.373653Z","submitted_at":"2021-12-01T22:24:34Z","title":"A General Language Assistant as a Laboratory for Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.00861","snapshot_observed_at":"2026-08-14T04:42:22.424593Z","title":"Askell et al","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.424593Z"},"links":{"cited_paper":"/paper/2112.00861","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:00d6c882a7030394f1cdd52fa557ceaa9651866671d4c7ea015b031fdcab530b","observation_id":"46ed91e0-3a94-456d-9f32-a40b22b892da","resolution":{"observed_at":"2026-08-14T04:42:22.424593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.05862","last_updated":"2022-04-12T15:02:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-12T15:02:38Z","title":"Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.05862","snapshot_observed_at":"2026-08-14T04:42:22.435909Z","title":"Bai et al","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.435909Z"},"links":{"cited_paper":"/paper/2204.05862","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:aa5bd82d6720ab52e0a310aa56b04ce10e8d686f86b005bdc332ca8120dc8af5","observation_id":"171681fa-d4af-450f-bb2b-88e770c36f28","resolution":{"observed_at":"2026-08-14T04:42:22.435909Z","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":"2026-08-14T04:42:24.494674Z","title":"Ouyang et al","venue":null,"work_id":"55991315-7c80-45b5-99db-8325d2cb7e17","year":2022},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.440667Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:8824a06c340232e4e893b237d175996c341c1ab9111ddbb40596af6fd511b80d","observation_id":"233eecfc-685a-4a5a-89e7-d1f1764d99b3","resolution":{"observed_at":"2026-08-14T04:42:24.499570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08073","last_updated":"2022-12-15T06:19:23Z","snapshot_observed_at":"2026-08-02T04:53:58.766070Z","submitted_at":"2022-12-15T06:19:23Z","title":"Constitutional AI: Harmlessness from AI Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.08073","snapshot_observed_at":"2026-08-14T04:42:22.444950Z","title":"Bai et al","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.444950Z"},"links":{"cited_paper":"/paper/2212.08073","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:c6305885f914053915a8df2fcbdb48642c401a2540931ecbec7a13f812dcb6b6","observation_id":"94660bd4-f9e5-42fc-9a82-88d8f48da5d6","resolution":{"observed_at":"2026-08-14T04:42:22.444950Z","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":"2026-08-14T04:42:24.466758Z","title":"Rafailov et al","venue":null,"work_id":"06dbf5a2-c0be-420f-a7d6-113286843500","year":2023},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.451585Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:56347a4ce4b3c2169f79a3b8a89177b95dec25cb21065f2686c20132d301d38d","observation_id":"ef0ec088-c3c2-44c1-acee-c3c61a88ad5f","resolution":{"observed_at":"2026-08-14T04:42:24.479589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.451223Z","title":"Casper et al","venue":null,"work_id":"6c9910a4-58eb-47d6-846a-1c193aa0a611","year":2023},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.455661Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:3fe1b6724da55bbf14d5d90cd40f5a36d091c9a5ccfb788268f412dc4aa78d58","observation_id":"ede1309d-084a-4a49-86d9-41e7da7ec986","resolution":{"observed_at":"2026-08-14T04:42:24.457012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-08-12T17:13:46.394331Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-14T04:42:22.459373Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.459373Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:06641ebc25375687871296325c5cdc9fd4d86014c49f31c0b3eea6f2f2abeb4a","observation_id":"0b7f07b5-9d94-4a46-9622-d9306c8d96c5","resolution":{"observed_at":"2026-08-14T04:42:22.459373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.06565","last_updated":"2016-07-25T17:23:29Z","snapshot_observed_at":"2026-07-06T05:00:46.434335Z","submitted_at":"2016-06-21T13:37:05Z","title":"Concrete Problems in AI Safety","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.06565","snapshot_observed_at":"2026-08-14T04:42:22.463488Z","title":"Amodei et al","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.463488Z"},"links":{"cited_paper":"/paper/1606.06565","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:073045de4a8e053cf9a5b3137750d0a9d5ee8be5d6362fbb408fb91cc9adcde0","observation_id":"552cb0a0-126e-442e-9021-5fe5fc259a96","resolution":{"observed_at":"2026-08-14T04:42:22.463488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.13916","last_updated":"2022-06-16T21:12:42Z","snapshot_observed_at":"2026-07-06T11:52:19.105210Z","submitted_at":"2021-09-28T17:59:36Z","title":"Unsolved Problems in ML Safety","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.13916","snapshot_observed_at":"2026-08-14T04:42:22.467720Z","title":"Hendrycks, N","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.467720Z"},"links":{"cited_paper":"/paper/2109.13916","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:6559d27e3b5d61125fc208d6587e4805824a5d0eb78e10b8719c192b881c5e50","observation_id":"c1c0e5bc-1626-4f92-8a4e-0276e04c96e6","resolution":{"observed_at":"2026-08-14T04:42:22.467720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.04359","last_updated":"2021-12-08T16:09:48Z","snapshot_observed_at":"2026-08-09T15:17:43.394064Z","submitted_at":"2021-12-08T16:09:48Z","title":"Ethical and social risks of harm from Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.04359","snapshot_observed_at":"2026-08-14T04:42:22.472041Z","title":"Weidinger et al","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.472041Z"},"links":{"cited_paper":"/paper/2112.04359","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:339fab22f7fa5c2486d391d460a5dd657085eb785687617d60f0bf8d47f42645","observation_id":"b028b65a-31a9-4b8d-a357-dfb1424f8800","resolution":{"observed_at":"2026-08-14T04:42:22.472041Z","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":"2026-08-14T04:42:24.433844Z","title":"Russell, Human Compatible: Artificial Intelligence and the Problem of Control (Viking, New York, 2019)","venue":null,"work_id":"9498e827-7271-455d-b8e7-617c9aafde13","year":2019},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.476077Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:8056b8517332ad3659acdc22c82ee43cfe1585ecb2069a3a413c1b297174dbab","observation_id":"5abeeb62-ae25-48c6-a2fd-27a056d7d2c7","resolution":{"observed_at":"2026-08-14T04:42:24.441020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.391539Z","title":"Shumailov et al","venue":null,"work_id":"77eecbcf-a04a-4ac0-9d3f-37503f00d86c","year":2024},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.479687Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:438ebfb8dd8ca012a64203b4881f88173970ca13acc2b97e0e7201d96f744bcc","observation_id":"6653910b-cc0e-412c-ad08-226f227436d7","resolution":{"observed_at":"2026-08-14T04:42:24.398143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.374811Z","title":"Cloud et al","venue":null,"work_id":"c33d6f9a-386c-4fa0-b629-49561849b1f1","year":2026},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.483691Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:19922cad0e4d4385c973f52f947eec9e9add0ad90a6ccf89cd882b7314e6f9bc","observation_id":"273c37f3-183b-4a6b-aad5-a0d347e7f58b","resolution":{"observed_at":"2026-08-14T04:42:24.379144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.340572Z","title":null,"venue":null,"work_id":"f464a51a-7466-460f-ae7a-d61871cb9d78","year":1966},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.487664Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:f9e5e731911e88f7b4d9fce262a294ff605a290c86e6f47051e64499bed83185","observation_id":"5d4fe7e1-834a-46fb-9a15-95ecbdebc669","resolution":{"observed_at":"2026-08-14T04:42:24.355485Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:22.491720Z","title":null,"venue":null,"work_id":null,"year":1975},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.491720Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:24d492c4c9305a70775d27b21f4109d1fd22ae68ccec82af8e2db89780c2c45e","observation_id":"8f253035-890c-40a4-b703-6459964d6bf4","resolution":{"observed_at":"2026-08-14T04:42:22.491720Z","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":"2026-08-14T04:42:24.279764Z","title":"Tishby, F","venue":null,"work_id":"7474f194-3fea-4c03-95c2-83a8a6b92ccc","year":1999},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.497421Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:f336e45291f6a6df9c2bebaa1fd8cbf63faf789cc381abe295edd38df3bc7fbb","observation_id":"177fae5e-775f-469d-86e1-d5dbe3f8167d","resolution":{"observed_at":"2026-08-14T04:42:24.294753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.246503Z","title":"Tishby and N","venue":null,"work_id":"e3349599-a4c2-4469-9264-fd405414cdbb","year":2015},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.510067Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:667aebacd070c5cebecb98a0d7f59bf5d04789ce434920ea822ab99a51db20b5","observation_id":"8130f5f8-d08b-46b9-b903-7b02009bc926","resolution":{"observed_at":"2026-08-14T04:42:24.252445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.154749Z","title":"Koch-Janusz and Z","venue":null,"work_id":"78e35ad3-0cf3-4e62-a27d-4beb9ddc0369","year":2018},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.516125Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:9d31cdcb25ad82d25b619835e35fa2149fea43290247a06cc9068b2bc0a14fa7","observation_id":"70fc1f49-0aab-4ade-96ea-59fd8915d3f1","resolution":{"observed_at":"2026-08-14T04:42:24.193353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:24.086886Z","title":"Gordon, A","venue":null,"work_id":"36b3cea0-476e-4a40-a4df-b3e27cc9a46d","year":2021},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.521000Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:244302b6ca507cb4f82529a02ddbff9f7b68e1d5ca86ee97b9a7a1096da4c3e2","observation_id":"a66f6f78-81d1-4141-9d5f-22322cc44564","resolution":{"observed_at":"2026-08-14T04:42:24.093385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:22.534648Z","title":null,"venue":null,"work_id":null,"year":1948},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.534648Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:072ce16d4943fb317ae367d8150e4a23458cc8f0d74fe3204f281470a20dc25c","observation_id":"d787873e-3942-4cbf-9075-7d2709c396bd","resolution":{"observed_at":"2026-08-14T04:42:22.534648Z","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":"2026-08-14T04:42:22.538840Z","title":null,"venue":null,"work_id":null,"year":1957},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.538840Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:d182cf06682378ce8ea50233faf375d1c98e9fc57cafbe8b6736b84b106d9a32","observation_id":"3dc36b18-976a-454b-ab66-11df93c43fa6","resolution":{"observed_at":"2026-08-14T04:42:22.538840Z","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":"2026-08-14T04:42:23.937080Z","title":"Mezard and A","venue":null,"work_id":"54811f8a-3b65-4ab0-be8e-32e0522869b3","year":2009},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.542401Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:860764e1826f07760154bf47d677f8ec567481a22792412d5e2ab419acdb12ec","observation_id":"92e20e89-ec4d-4b06-8ba1-c4f37dadfba9","resolution":{"observed_at":"2026-08-14T04:42:23.965516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.883998Z","title":"Zdeborova and F","venue":null,"work_id":"77f87c4c-5d0b-4dfc-9fbb-4152ee792b52","year":2016},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.546610Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:1408233f8d67f5a3291549127a87a1dc47900afe305571b16adf5d7225eff69c","observation_id":"d24ca806-0690-47b2-8af5-8842104278fc","resolution":{"observed_at":"2026-08-14T04:42:23.914752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.845130Z","title":null,"venue":null,"work_id":"e1ba12a2-a1fb-4caa-9236-0617da4e7b03","year":2018},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.550786Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:dff818010a48c6ed3b4fd447043d2d2a3dadaa7787f95be908325826f192ce97","observation_id":"ec3d2876-e481-43e4-8a05-e16830a19820","resolution":{"observed_at":"2026-08-14T04:42:23.859208Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.812285Z","title":null,"venue":null,"work_id":"1abec674-c6a4-4d83-b4de-34fb5154b307","year":2018},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.554472Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:55d2c3702eba5f5398a5204e8bcf9f19bf7a77afc7fcd69bab3a981ea0d625fb","observation_id":"4b7a9605-e527-49d0-9f81-9857643990eb","resolution":{"observed_at":"2026-08-14T04:42:23.834951Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.721877Z","title":"Zhai, F.-M","venue":null,"work_id":"5b9052c8-c5bc-44ed-9bc1-68051bf446de","year":2023},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.557816Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:c24b4d0f2d142f6e3aad97251a8d25cb26440412cab87dd96635a5b8cae6bfd7","observation_id":"09283997-f037-403b-80f1-edb904a30ab1","resolution":{"observed_at":"2026-08-14T04:42:23.739493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.644316Z","title":null,"venue":null,"work_id":"167fbada-8356-4f38-98b9-7514763857b0","year":2026},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.562663Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:06a34344a0694db8e264a1f9765e4b85b2deb2b39965bc611e131079502c529c","observation_id":"da58988f-7d83-4b47-8e41-37666e5dc339","resolution":{"observed_at":"2026-08-14T04:42:23.666898Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06748","last_updated":"2025-08-29T17:08:59Z","snapshot_observed_at":"2026-08-14T22:15:19.649947Z","submitted_at":"2024-12-09T18:40:44Z","title":"Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06748","snapshot_observed_at":"2026-08-14T04:42:22.566656Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.566656Z"},"links":{"cited_paper":"/paper/2412.06748","citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:e8c6d6976d3acf840c1a3b443a439a6b45583ada235b57d91084f5804b6184b6","observation_id":"e5959409-7fa6-4716-9e35-20ff4fb1c8a2","resolution":{"observed_at":"2026-08-14T04:42:22.566656Z","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":"2026-08-14T04:42:23.564752Z","title":null,"venue":null,"work_id":"4eff5480-ee84-4700-b778-fe7d37957ae4","year":2020},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.571289Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:e7010d7fd483b51f222e7a1422e07c4d4d0a07be01c61f141d824895c8dc1943","observation_id":"efed4db2-b40f-4068-8460-7c1b7d3b9454","resolution":{"observed_at":"2026-08-14T04:42:23.598585Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.474748Z","title":"Zhang, Q","venue":null,"work_id":"6eb1b962-389b-4c61-966a-6b7e3cbe144d","year":2025},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.575094Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:ad3cc4207e8e74bc599841a1c8aa0173866464464d2bc872f49077698c10fba9","observation_id":"cfca8200-06e7-4725-a901-cfd9c1ec1bae","resolution":{"observed_at":"2026-08-14T04:42:23.501530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.401496Z","title":null,"venue":null,"work_id":"8f4ba9a0-3dbd-423c-ad17-556a01b0dff6","year":2022},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.579077Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:f4ff1f64b122ee5e9bf0e5e920af491f2ec851917efcbea61abf976ef2930ad3","observation_id":"61501b34-be3c-4efd-b9bb-cb6c28f01166","resolution":{"observed_at":"2026-08-14T04:42:23.413434Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.337879Z","title":"Papyan, X","venue":null,"work_id":"00b28204-4604-4076-8a1f-203c52467536","year":2020},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.583012Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:ab5a41647532ae39a0d7a922ed4471cb5022579f6c500f45fee4b13aa1073422","observation_id":"10e4c270-f075-4e72-9af1-0da1b1060511","resolution":{"observed_at":"2026-08-14T04:42:23.371400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.269103Z","title":"Reliability–Safety Trade-off in AI Distillation: A Renormalization-Group Approach","venue":null,"work_id":"43f9066c-48f4-41f5-b6b4-e6a5fbcb7209","year":2024},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.586889Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:b6a8d87a7f6f41bae7eb49acb8df64a91fa0a16d3c0711b7ec00c2f9177bd740","observation_id":"8dad5335-3637-4358-8142-fc1fba99f6a0","resolution":{"observed_at":"2026-08-14T04:42:23.276499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.195400Z","title":"In this region, f (K) in Eq","venue":null,"work_id":"1b2de205-4dce-4b6b-9009-b508c8a1b246","year":null},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.593104Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:492ecdf04fa1a482257b1e10822e53826d4e8398d39de61bcc15cfb034d51ee8","observation_id":"71b70763-cb5c-4072-8a8e-7fa7d9efe479","resolution":{"observed_at":"2026-08-14T04:42:23.216422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.152550Z","title":"In this region, the function f (K) in Eq","venue":null,"work_id":"fc12ab7c-2360-4180-86e3-b4750cb461de","year":null},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.598539Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:7a4253b0486686cea28e39e3233bafa48a858851c6a1c3117dea8fde0b3380eb","observation_id":"02d63b8e-fe3e-434e-8ad1-bf640bfec45e","resolution":{"observed_at":"2026-08-14T04:42:23.165491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:42:23.078160Z","title":"answerable contrast queries","venue":null,"work_id":"64cb7d9f-36d8-4100-b843-eda69e5d6c3c","year":null},"citing_paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T04:42:22.603505Z"},"links":{"citing_paper":"/paper/2608.08572"},"observation_digest":"sha256:1e0ab3c0f03b883cb67c201d49632204ec431be76b1b7ec9128bf430b81df81c","observation_id":"6865cc98-974b-43e0-8042-22475b11b313","resolution":{"observed_at":"2026-08-14T04:42:23.094680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.08572","last_updated":"2026-08-09T08:23:57Z","latest_version":1,"primary_category":"cond-mat.stat-mech","snapshot_observed_at":"2026-08-15T12:44:12.536829Z","submitted_at":"2026-08-09T08:23:57Z","title":"Reliability-Safety Trade-off in AI Distillation: A Renormalization-Group Approach"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":0,"verified_fuzzy":27},"total_outbound_references":51},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2608.08572."}