{"as_of":"2026-08-22T23:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83860fd128a05837daf7d81ad61f4e0b0518d31f0a71539c0fcf5517c3f88045","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:42:08.321640Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.07630/citation-record","integrity":"/paper/2507.07630/integrity","json":"/paper/2507.07630/citation-record.json","paper":"/paper/2507.07630"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:42:10.070170Z","title":null,"venue":null,"work_id":"2ed8bfb8-5735-495f-a9ee-0c1ab5130f7b","year":2023},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:06.505342Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:2e6e819dac6631a5f1a1119576ea15568e413deaee88cc25a696862de7ed6a16","observation_id":"82e18c2b-92b7-430d-8d52-190e56367244","resolution":{"observed_at":"2026-08-06T18:42:10.170928Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:42:09.750139Z","title":null,"venue":null,"work_id":"4a2401b6-cf92-4027-b59d-3c57e8d97ef0","year":2020},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:06.626589Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:1a6f6fd739a7b746b3ccfae1130f61f08d529aa7aa8a2eab2a36105d3b753a4e","observation_id":"9ec237d3-1207-413a-90b4-f06306082c61","resolution":{"observed_at":"2026-08-06T18:42:09.836308Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.01937","last_updated":"2018-03-05T21:35:04Z","snapshot_observed_at":"2026-08-14T19:39:16.753401Z","submitted_at":"2018-03-05T21:35:04Z","title":"ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.01937","snapshot_observed_at":"2026-08-06T18:42:06.733660Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:06.733660Z"},"links":{"cited_paper":"/paper/1803.01937","citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:7310fb7fd4da877c9efc9da342a758f36f74c52d7d89318cfec853a29ed576dc","observation_id":"5cbb15a9-693b-48f0-9550-926d1c1a53ba","resolution":{"observed_at":"2026-08-06T18:42:06.733660Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T18:42:06.906971Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:06.906971Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:247979c483fd85d9b551c85265b49f34e08a4c8fda722aea0656ee3e8f1958f1","observation_id":"9ff02901-7087-4bbb-b8b4-5993f504fe5a","resolution":{"observed_at":"2026-08-06T18:42:06.906971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2023.acl-industry.24","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":null,"work_id":"680e204e-e0c7-4576-87f3-1300ca198f87","year":2023},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.044259Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:67cdef906c219f03fce1edb314a0b467cac979c9472ce615d34da49ffa684ec7","observation_id":"b3eba77d-5d28-4b6a-a441-dbb343459dea","resolution":{"observed_at":"2026-08-06T18:42:08.714515Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10670","last_updated":"2022-12-20T22:11:35Z","snapshot_observed_at":"2026-08-19T21:03:06.819470Z","submitted_at":"2022-12-20T22:11:35Z","title":"In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10670","snapshot_observed_at":"2026-08-06T18:42:07.132490Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.132490Z"},"links":{"cited_paper":"/paper/2212.10670","citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:2279e047aa74295a9bc6874a14d7e847ebb5220463413bf0341ab331d6614232","observation_id":"0336e708-884b-4566-88c6-c6fa79698974","resolution":{"observed_at":"2026-08-06T18:42:07.132490Z","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":"2026-08-06T18:42:07.197575Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.197575Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:6175fca395e89dd9ba4d2dcf00e737da0681e3f250e0730a96603774d32b068f","observation_id":"acd0a7ae-1075-4d88-8fd3-7925f5c4dd20","resolution":{"observed_at":"2026-08-06T18:42:07.197575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.10169","last_updated":"2023-07-19T17:55:13Z","snapshot_observed_at":"2026-08-19T07:44:13.006259Z","submitted_at":"2023-07-19T17:55:13Z","title":"Challenges and Applications of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.10169","snapshot_observed_at":"2026-08-06T18:42:07.256439Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.256439Z"},"links":{"cited_paper":"/paper/2307.10169","citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:1173362d8946a0650218b14d57da1b3a08516dc478b45e7cd5e3de8607842896","observation_id":"150e3d69-682f-447d-b926-28046ef4f037","resolution":{"observed_at":"2026-08-06T18:42:07.256439Z","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":"2026-08-06T18:42:07.328328Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.328328Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:71232c6162d4d20bfebfdc52ab1c6c6fe68192fb3289185fd6cad33d118981b9","observation_id":"d3c86348-092b-4170-a831-4b764ea728c8","resolution":{"observed_at":"2026-08-06T18:42:07.328328Z","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":"2070.36930","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:42:08.963642Z","title":null,"venue":null,"work_id":"ca959c21-c0e4-4d33-979c-f62e59a3b123","year":2024},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.408370Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:d6a5ec6e28ca4175f5f8f7e76f501712192339f31eb96a0b5b50aad13ea7b906","observation_id":"f3802dfe-a56a-4cf9-ac9d-0a226f8f5c6f","resolution":{"observed_at":"2026-08-06T18:42:09.056845Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:42:07.496272Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.496272Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:439b164e02e6a960c0a4ec727c26852b5f0d244ccc18b09deb6e4a059368c235","observation_id":"a402001d-36e4-4130-8501-9527059e620e","resolution":{"observed_at":"2026-08-06T18:42:07.496272Z","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":"2026-08-06T18:42:07.588112Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.588112Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:64a46e8bbb2afc79a8373f4432967a3765d632ce1eeb6f2341faa0e2c1899572","observation_id":"01d85595-d556-430c-bc19-103c947da5f4","resolution":{"observed_at":"2026-08-06T18:42:07.588112Z","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":"2026-08-06T18:42:07.673068Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.673068Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:b7585e6e42b7e17ce18a94f33ef91ac70de1936148ef9db3fb92c446ed0af136","observation_id":"f80a6de1-cf04-4256-9b8f-11d1f1c53fde","resolution":{"observed_at":"2026-08-06T18:42:07.673068Z","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":"2026-08-06T18:42:09.529390Z","title":null,"venue":null,"work_id":"ccdfb8bb-5bc7-4bc3-8b40-09b45df01596","year":2020},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.759538Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:9dd23f6c26f35784f354f888e9a1041a78f76eba02a35f6a961da0471fc2188c","observation_id":"8c47a3cd-a3a4-4fc3-83d8-4571513cf6e2","resolution":{"observed_at":"2026-08-06T18:42:09.644753Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:42:07.817427Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.817427Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:8320cd4714fa0eaaec9cf197cd3642fcef08e1308a2a8ea61c1cf2d5eacb29e3","observation_id":"d4ced154-b330-4b58-93e3-5c642af25d8f","resolution":{"observed_at":"2026-08-06T18:42:07.817427Z","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":"2026-08-06T18:42:07.873025Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.873025Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:08bb573d160fbc87fbd8acfcbabf3be4670eaa6a73278aa4c0963996812d10fa","observation_id":"9d9d6b5f-87a4-4180-bdfd-bf8694230ac9","resolution":{"observed_at":"2026-08-06T18:42:07.873025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T18:42:07.936354Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:07.936354Z"},"links":{"cited_paper":"/paper/1910.01108","citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:722071bba4cc7dbb3d1cb5125d77b6e03f2fce15609c6af97d9a806d775de1ca","observation_id":"b6e92134-b39f-4a0a-af24-7b574d4d0c0a","resolution":{"observed_at":"2026-08-06T18:42:07.936354Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2022.nlp4convai-1.10","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":null,"work_id":"3808dad5-2850-499e-a345-37e474cdba53","year":2022},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:08.001442Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:0c284c9e94523e9f6b456b657432fa7dffa2edbdc15c6cb5c3b1adfbc3e3d580","observation_id":"1bb5063f-7199-4070-8542-f1f64918592f","resolution":{"observed_at":"2026-08-06T18:42:08.506198Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.01652","last_updated":"2022-02-08T20:26:45Z","snapshot_observed_at":"2026-08-14T06:11:14.515796Z","submitted_at":"2021-09-03T17:55:52Z","title":"Finetuned Language Models Are Zero-Shot Learners","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.01652","snapshot_observed_at":"2026-08-06T18:42:08.072215Z","title":"Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:08.072215Z"},"links":{"cited_paper":"/paper/2109.01652","citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:1bfd63474babb27acdbd058c4c987680a2ca0505a8debffb8848ba459c4761b6","observation_id":"7e64d005-4303-4cd8-9b44-dd6fa95c23b3","resolution":{"observed_at":"2026-08-06T18:42:08.072215Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-08-17T18:50:07.059564Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-06T18:42:08.164953Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:08.164953Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:2028aad8fae09058f268b2bdd6817803c97a4fa05e816b69b17d0aecb2ff6673","observation_id":"3e880139-a29b-418a-bdba-439630138c78","resolution":{"observed_at":"2026-08-06T18:42:08.164953Z","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":"2026-08-06T18:42:08.232372Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:08.232372Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:e659b1980d8f6a8743d55b4747a44176b65a2560e71edfa166ed0f566430c64b","observation_id":"de1537b5-2481-4d3a-8467-e4d7f627a5df","resolution":{"observed_at":"2026-08-06T18:42:08.232372Z","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":"2026-08-06T18:42:08.291512Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:08.291512Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:c083fae6a6a930ae4d71cb7a4251d127f35d8d6c485c6eb1dd8bbdaeaccdce06","observation_id":"bcd6c7ba-e074-4dbb-b84d-3a03b2ae0219","resolution":{"observed_at":"2026-08-06T18:42:08.291512Z","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":"2026-08-06T18:42:08.321640Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T18:42:08.321640Z"},"links":{"citing_paper":"/paper/2507.07630"},"observation_digest":"sha256:f047168c076df65109803ba61802eb9319c960db418d39233cf90195a45aacc3","observation_id":"690f9f50-1a3a-4bf6-90e6-51392202d7f0","resolution":{"observed_at":"2026-08-06T18:42:08.321640Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.07630","last_updated":"2025-07-10T10:54:05Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T20:32:08.365797Z","submitted_at":"2025-07-10T10:54:05Z","title":"Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":20,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":23},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.07630."}