{"as_of":"2026-08-15T07:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:71dadefb6a08b4bb6a3732aaebe346493c2f8255f2a4fa7ff037e2ec17bb2fe3","coverage":[{"denominator":196,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:38:43.687351Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"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/2608.08506/citation-record","integrity":"/paper/2608.08506/integrity","json":"/paper/2608.08506/citation-record.json","paper":"/paper/2608.08506"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:38:41.958636Z","title":"doi:10.5281/zenodo.10256836 , url =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:41.958636Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:29b1a3c99b803b4226ba40d1e5fd1287679507e7c9feb5924d637581dbdd5777","observation_id":"08010f76-7a33-4097-b277-cadb6f677422","resolution":{"observed_at":"2026-08-14T04:38:41.958636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-14T04:38:41.962887Z","title":"arXiv preprint arXiv:2407.21783 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:41.962887Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:a75c2ea42846b430496ef8ad0c25c97a5adcf66bfdb8b603d0d602c64e0835e4","observation_id":"7ae559ea-ed85-4e57-9c27-7b66edb822c8","resolution":{"observed_at":"2026-08-14T04:38:41.962887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-14T04:38:41.967196Z","title":"arXiv preprint arXiv:2307.09288 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:41.967196Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:362813f0fbc8e450d2241ece1022ac45d186163e8d33411feeea46f19ff23e92","observation_id":"b37e9e51-abcb-4ce8-b6e1-5dc66710c33f","resolution":{"observed_at":"2026-08-14T04:38:41.967196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-14T04:38:41.971128Z","title":"arXiv preprint arXiv:2303.08774 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:41.971128Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:0f94747ee5ec35390d2cf7ff81f4ad10d72a73175fe664d6c9170a6f47ac1f22","observation_id":"b7c958af-0979-42c7-815c-3d34b7bc582f","resolution":{"observed_at":"2026-08-14T04:38:41.971128Z","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":"2026-08-14T04:38:41.974552Z","title":"2023 , note =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:41.974552Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:195193674f256684ca104d9c42db95a99790913838b33890276ddebd24e49cbf","observation_id":"ed5d83c4-bf00-4940-bab1-f879d5f0d1f9","resolution":{"observed_at":"2026-08-14T04:38:41.974552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-14T04:38:41.977728Z","title":"arXiv preprint arXiv:2312.11805 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:41.977728Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:fd81549e1418479a37ad62e40db17ee094632459c3f979a2f6f86d21481a018b","observation_id":"b987f640-bcc0-4924-9811-071ebee74cfd","resolution":{"observed_at":"2026-08-14T04:38:41.977728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05530","last_updated":"2024-12-16T17:39:39Z","snapshot_observed_at":"2026-08-14T18:15:53.516440Z","submitted_at":"2024-03-08T18:54:20Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05530","snapshot_observed_at":"2026-08-14T04:38:42.046471Z","title":"arXiv preprint arXiv:2403.05530 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.046471Z"},"links":{"cited_paper":"/paper/2403.05530","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:a97232f333daec9c31c9c66df816ef1abde06d0823655d03474a2502837d648c","observation_id":"3689dd94-15a6-4947-9145-22db522b7d0f","resolution":{"observed_at":"2026-08-14T04:38:42.046471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-08-14T04:38:42.143547Z","title":"arXiv preprint arXiv:2505.09388 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.143547Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:89684d9fbe47db69b59ac71b305fa4ea67437de8ca1cd2625fe5c81bed0b63b5","observation_id":"c7f2cb67-ea31-4817-aebf-bb070e868f3c","resolution":{"observed_at":"2026-08-14T04:38:42.143547Z","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":"2026-08-14T04:38:42.148197Z","title":"2025 , month = aug, day =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.148197Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:4bfd3dade0ec25b5580dcd5e9c97e67745b44565263ba7dc0c13a54699aec423","observation_id":"70ec9167-7c42-4bbd-870f-81b90b78db13","resolution":{"observed_at":"2026-08-14T04:38:42.148197Z","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":"2026-08-14T04:38:42.152465Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.152465Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:87fa15621a5b0cea5214e341b05ed6d5e5381a7b1011a1a41f79381450813c72","observation_id":"8ad5dfde-2698-4872-a4c0-75e8f0479d89","resolution":{"observed_at":"2026-08-14T04:38:42.152465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-14T04:38:42.156131Z","title":"arXiv preprint arXiv:1810.04805 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.156131Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:96fd28ecf190640f43800289478c4210223fc1a7f675daf7e287b2b535b5f4ee","observation_id":"e0b98711-59da-4c2a-86ed-ccc6e09f8be1","resolution":{"observed_at":"2026-08-14T04:38:42.156131Z","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":"2026-08-14T04:38:42.159599Z","title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL) , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.159599Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:1c23703dbce24f66406a5652d90e85964b7a2f8488f3ec695da9bf047b18a716","observation_id":"6953b648-95df-471a-b4a0-d0e0f683e5c1","resolution":{"observed_at":"2026-08-14T04:38:42.159599Z","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":"2026-08-14T04:38:42.163004Z","title":"Neurocomputing , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.163004Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:9eb769648552084fd38ba7e4d8c260b1f7dee93edd8461bc1d701996580411f6","observation_id":"5341e2c9-a163-4690-8733-75fb068f94fb","resolution":{"observed_at":"2026-08-14T04:38:42.163004Z","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":"2026-08-14T04:38:42.166069Z","title":"Neurocomputing: foundations of research , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.166069Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:7439a8d82c3c8af1c3a8ac194490750e48db1118d8ad8d92ec27bf1d9a74735f","observation_id":"42111811-3d7e-4712-95be-120e46d1cfdc","resolution":{"observed_at":"2026-08-14T04:38:42.166069Z","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":"2026-08-14T04:38:42.171330Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.171330Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:e65990a5de6f8d9119c5a02de2ccddec7f63a878d52d121ac6e1ede663ca93b1","observation_id":"64294dff-917c-4fc3-90d4-c5c38d1dc194","resolution":{"observed_at":"2026-08-14T04:38:42.171330Z","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":"2026-08-14T04:38:42.174839Z","title":"The Thirteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.174839Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:be8edec99de01b13ccf2a4df377531e0686dae466070cfb37d4874002a773cb5","observation_id":"99d18bfb-88b9-4c98-85f3-9ce0b7e8a4ef","resolution":{"observed_at":"2026-08-14T04:38:42.174839Z","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":"2026-08-14T04:38:42.215936Z","title":"OpenAI , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.215936Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:8facd7c0ddab5e5a0d437c05a7a4b44155f720c21b3f09baa021fbe1d17e3dde","observation_id":"1b7b10f6-f2c8-4404-9ee0-57d58d70d118","resolution":{"observed_at":"2026-08-14T04:38:42.215936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-14T04:38:42.285713Z","title":"arXiv preprint arXiv:2005.14165 , year =","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.285713Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:3b6f97d9aae0a6b1b8c4c19ab11c18dce2591478bcd4258128c2166f8752b1fa","observation_id":"5436d9f6-39d4-4a5e-a1bc-7f2966d4d33d","resolution":{"observed_at":"2026-08-14T04:38:42.285713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08295","last_updated":"2024-04-16T12:52:47Z","snapshot_observed_at":"2026-08-03T03:29:01.959523Z","submitted_at":"2024-03-13T06:59:16Z","title":"Gemma: Open Models Based on Gemini Research and Technology","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08295","snapshot_observed_at":"2026-08-14T04:38:42.318002Z","title":"arXiv preprint arXiv:2403.08295 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.318002Z"},"links":{"cited_paper":"/paper/2403.08295","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:74a48c3d02ad0642f25e0c3c1321dac312a68e042feb92a8ac138a11d3e1f0f4","observation_id":"f70e99d3-60d2-4c79-8469-14a6eb4460ae","resolution":{"observed_at":"2026-08-14T04:38:42.318002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19786","last_updated":"2025-03-25T15:52:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-25T15:52:34Z","title":"Gemma 3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.19786","snapshot_observed_at":"2026-08-14T04:38:42.321678Z","title":"arXiv preprint arXiv:2503.19786 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.321678Z"},"links":{"cited_paper":"/paper/2503.19786","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:a90678bd9fcfdec4fa4b13302495564dd20484d77ba17cc50cbe63ba0c8dc9d1","observation_id":"a56a9fbe-790f-4458-a8b2-0e1af0e5919c","resolution":{"observed_at":"2026-08-14T04:38:42.321678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-13T15:58:13.809876Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-14T04:38:42.338731Z","title":"arXiv preprint arXiv:2501.12948 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.338731Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:74f0195411e587f5c9da9cec8b6d316867f6a2a700c620aed7c093a62af73ecc","observation_id":"43c24cee-e14e-4ce2-8f4f-aec21504123f","resolution":{"observed_at":"2026-08-14T04:38:42.338731Z","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":"2026-08-14T04:38:42.347886Z","title":"2024 , howpublished =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.347886Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:c86ea37e51c8a609c902c741345ae0a29e342d7f46707f58bf322f295643dab0","observation_id":"a3f09a59-6293-498b-ab0a-c4d6a0946553","resolution":{"observed_at":"2026-08-14T04:38:42.347886Z","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":"2026-08-14T04:38:42.354487Z","title":"2025 , howpublished =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.354487Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:403d19039266f050c3389be8617fd6a83ded80a2971db327ce128cb344c9028c","observation_id":"0fd67e52-a565-4550-b807-02cdeb4be7ce","resolution":{"observed_at":"2026-08-14T04:38:42.354487Z","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":"2026-08-14T04:38:42.358139Z","title":"2024 , howpublished =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.358139Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:2c9796dc7f380653a63c12cc3d6a3a38c9907e3d21e1e7232f111baeff64b7d4","observation_id":"5fece261-83f6-404d-8d0f-7965be722b64","resolution":{"observed_at":"2026-08-14T04:38:42.358139Z","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":"2026-08-14T04:38:42.364748Z","title":"2025 , howpublished =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.364748Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:74abefdd200b7870e425d796ad88dc16c5d58fbfb6d7d28d65369b5f0b496cf5","observation_id":"3270ab83-0ed5-4c07-9e4c-8339234de313","resolution":{"observed_at":"2026-08-14T04:38:42.364748Z","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":"2026-08-14T04:38:42.368666Z","title":"Proceedings of the International Conference on Machine Learning (ICML) , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.368666Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:1b72ba6dab4d22eae3a49f15cd2e2a3b1d564239d82e7c01843bef491a9998e6","observation_id":"841a5c41-2c3a-42ed-b509-20f8c7317506","resolution":{"observed_at":"2026-08-14T04:38:42.368666Z","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":"2026-08-14T04:38:42.372520Z","title":"2022 , eprint=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.372520Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:69badeb5c185a8f46713264150bd83c8196dd5ae9b64dce4e5295e2cde2f35cb","observation_id":"d07c74cf-a8a3-435a-80cc-ad4e17695aaa","resolution":{"observed_at":"2026-08-14T04:38:42.372520Z","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":"2026-08-14T04:38:42.386146Z","title":"Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL) , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.386146Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:de2c59ba1352aeba38d4d5e473d92431fa9cb765f035d4c0240015d53e5bb77a","observation_id":"cad77a69-b2fa-40f3-8c2f-50845d2b4272","resolution":{"observed_at":"2026-08-14T04:38:42.386146Z","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":"2026-08-14T04:38:42.440216Z","title":"arXiv preprint , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.440216Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:ba520386c9d541199f52e2035efc34d25efc1d1ee9956d061f839d973276db51","observation_id":"f388ad66-bc74-469c-9075-14cfd921b6ac","resolution":{"observed_at":"2026-08-14T04:38:42.440216Z","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":"2026-08-14T04:38:42.499094Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.499094Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:3f2e18c631bd3c0e3ba8bb0cbcac1d225f8de7d74cb7cbecfa4028019d0ea407","observation_id":"2ca883c9-aa7d-460b-95fe-38dc7fce96a7","resolution":{"observed_at":"2026-08-14T04:38:42.499094Z","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":"2026-08-14T04:38:42.540525Z","title":"IEEE Transactions on Signal Processing , volume=","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.540525Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:129f4c1de257a0b841bbd2deadb50205274f053ff7e513f608a7a73d85503af5","observation_id":"fd3cebdb-6405-4956-a7e7-c0999ec4f004","resolution":{"observed_at":"2026-08-14T04:38:42.540525Z","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":"2026-08-14T04:38:42.552603Z","title":"Automatica , volume=","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.552603Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:07cb87738296d4f0848b198fb05e1608341706c48c550683c7edc4cda7223b3b","observation_id":"f499e883-e11f-4de7-b4ff-5c9b396ee883","resolution":{"observed_at":"2026-08-14T04:38:42.552603Z","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":"2026-08-14T04:38:42.557049Z","title":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.557049Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:0f872c3ed221dfe4066c5ccc50580473734b07f2e93fed36fbcb823e917b6f49","observation_id":"073cc9bd-c434-4ccb-b05f-9b30696d1f6f","resolution":{"observed_at":"2026-08-14T04:38:42.557049Z","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":"2026-08-14T04:38:42.571786Z","title":"2023 , url=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.571786Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:2946659187143ce42eb74a682cd4a661ea2bc0ede7c514ab0f09c579906be78e","observation_id":"c4206fd0-3d2d-4bde-b3c3-553ad19e3881","resolution":{"observed_at":"2026-08-14T04:38:42.571786Z","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":"2026-08-14T04:38:42.576504Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.576504Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:ac1c3df03c6e864a90c4b66531f96d543fd76757da4c9571afa6060ffa72bae8","observation_id":"df443584-a827-47ad-84b2-2e4346af8d6a","resolution":{"observed_at":"2026-08-14T04:38:42.576504Z","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":"2026-08-14T04:38:42.584449Z","title":"Croci and Marcelo Gennari do Nascimento and Torsten Hoefler and James Hensman , booktitle=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.584449Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:9f3e309739e387bd6896a540e6eb66eda64eb9be2230a47305dbd9504c9210a5","observation_id":"d312664f-1eef-49d4-a6d6-744dc4902606","resolution":{"observed_at":"2026-08-14T04:38:42.584449Z","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":"2026-08-14T04:38:42.588107Z","title":"IEEE international conference on neural networks , pages=","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.588107Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:aed3a4b6c987aa2d4ea114addb125998ae985cbd5c11e5f5f099a101d57bdc25","observation_id":"9129f400-d8f4-47ab-b9fc-cea267d30b0c","resolution":{"observed_at":"2026-08-14T04:38:42.588107Z","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":"2026-08-14T04:38:42.600403Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.600403Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:82bae5084e85ca15120166fc9f1c7a10386bc5fd65b763942eecf09238580b1a","observation_id":"0d57b6d8-faa6-49f3-99a3-a73305b2f3ac","resolution":{"observed_at":"2026-08-14T04:38:42.600403Z","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":"2026-08-14T04:38:42.614747Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.614747Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:0dc61f5334fee0542674bf035d2cc62938ee3d0a14babfe461b59a5935fc4a60","observation_id":"c2fe5410-5502-4c27-9fc7-b0d4ea59846e","resolution":{"observed_at":"2026-08-14T04:38:42.614747Z","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":"2026-08-14T04:38:42.680825Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.680825Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:c21ca6c08b47c068047787408e6dc50b7a4bae11bca073d311b3e65180dcc94c","observation_id":"30fd4c12-2d57-47f2-81a6-aa31f466eea1","resolution":{"observed_at":"2026-08-14T04:38:42.680825Z","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":"2026-08-14T04:38:42.766350Z","title":"arXiv preprint arXiv:2509.11177 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.766350Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:e8f0095e31641ff78d7ae86c7d1a6236e8de3e1c28cec707f9e80cf6e54a0eef","observation_id":"caf948bf-7720-4500-bc22-60fc38d480b9","resolution":{"observed_at":"2026-08-14T04:38:42.766350Z","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":"2026-08-14T04:38:42.771131Z","title":"arXiv preprint arXiv:2410.21271 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.771131Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:67222775ccd01b9fc7714a8b296cb82f4e4add048a1eb8e4b83fed1120302d07","observation_id":"1ecc6f6b-dbd6-4937-bff8-c3ad564e79f1","resolution":{"observed_at":"2026-08-14T04:38:42.771131Z","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":"2026-08-14T04:38:42.777515Z","title":"The Thirteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.777515Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:3bb8cb8bff20b07139d64b6492448bfdeda11959a973242cdf4d158efea75bc1","observation_id":"3ed034a6-9bc2-434e-8de8-90a445dd3bfe","resolution":{"observed_at":"2026-08-14T04:38:42.777515Z","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":"2026-08-14T04:38:42.780626Z","title":"T\\'yr-the-Pruner: Structural Pruning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.780626Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:70ca18524e3c46e070ceb6a1e337f182d19cad2de859ad590e3b97adb468ccfe","observation_id":"3fc735d0-eede-46ac-a21d-dc0e66d0e0b5","resolution":{"observed_at":"2026-08-14T04:38:42.780626Z","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":"2026-08-14T04:38:42.784030Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.784030Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:0aa3dc1c92319dbef4a354c59fbd0363f432920eabf2070b13039bcbb1377ebf","observation_id":"5cca4325-16e9-4b0a-814c-3ec6c9f1f2e9","resolution":{"observed_at":"2026-08-14T04:38:42.784030Z","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":"2026-08-14T04:38:42.789959Z","title":"Forty-second International Conference on Machine Learning , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.789959Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:3f2fb3a616619a86b8d114f1ad1fac0ae65be96d63eba9493958afdb7eb6b187","observation_id":"f8e6e501-3e52-4844-9317-d5673bfd84a4","resolution":{"observed_at":"2026-08-14T04:38:42.789959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22689","last_updated":"2025-05-28T03:01:28Z","snapshot_observed_at":"2026-08-10T19:31:13.796459Z","submitted_at":"2025-05-28T03:01:28Z","title":"SlimLLM: Accurate Structured Pruning for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22689","snapshot_observed_at":"2026-08-14T04:38:42.793296Z","title":"arXiv preprint arXiv:2505.22689 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.793296Z"},"links":{"cited_paper":"/paper/2505.22689","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:67b17c97e439df0747ba62df1730597bfe9abb9b2bc053a6c06a60aa0d164f8e","observation_id":"e5e2f74b-0343-4a1a-a02b-92a7b5494ef2","resolution":{"observed_at":"2026-08-14T04:38:42.793296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23807","last_updated":"2025-06-03T03:06:29Z","snapshot_observed_at":"2026-08-12T13:21:25.772230Z","submitted_at":"2025-05-27T07:35:00Z","title":"DLP: Dynamic Layerwise Pruning in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23807","snapshot_observed_at":"2026-08-14T04:38:42.797118Z","title":"arXiv preprint arXiv:2505.23807 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.797118Z"},"links":{"cited_paper":"/paper/2505.23807","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:366cc781cae28edb406c7bf1e51d9542c0f7ec0a3852d229e9e1566aa36229e0","observation_id":"95e14cae-67b8-43c2-b501-c11da33b3dbe","resolution":{"observed_at":"2026-08-14T04:38:42.797118Z","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":"2026-08-14T04:38:42.801607Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.801607Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:a6069df1b0b3f23b4a248bc21a8c9cc0fa43ac7b789d7f817556c94e6d9e9b4b","observation_id":"a2dcc9cd-b7d1-4d9a-beb3-b7109b462ab9","resolution":{"observed_at":"2026-08-14T04:38:42.801607Z","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":"2026-08-14T04:38:42.807411Z","title":"Forty-second International Conference on Machine Learning , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.807411Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:fb82e9549ee6de23b86fb32bf879737a3a574a76398cce7ab0adc6fa1c408de7","observation_id":"8fceb47e-7552-48f5-81f9-0180ca6e0f68","resolution":{"observed_at":"2026-08-14T04:38:42.807411Z","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":"2026-08-14T04:38:42.900470Z","title":"arXiv preprint arXiv:2507.01299 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.900470Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:277e8151d38d0b9ae0a7c7064c5e06874b2023cee94f1de2abd1e82ed02411cd","observation_id":"3d143ab7-b9f6-42c7-b0a0-79843b14e5f9","resolution":{"observed_at":"2026-08-14T04:38:42.900470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14649","last_updated":"2025-07-01T14:41:08Z","snapshot_observed_at":"2026-08-12T22:19:52.936452Z","submitted_at":"2024-10-18T17:46:37Z","title":"EvoPress: Accurate Dynamic Model Compression via Evolutionary Search","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14649","snapshot_observed_at":"2026-08-14T04:38:42.977884Z","title":"arXiv preprint arXiv:2410.14649 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:42.977884Z"},"links":{"cited_paper":"/paper/2410.14649","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:f6251a15a80543df4524af92c9f13d00bb573d24329e7ef9be870d7d9791cf6e","observation_id":"fb5b56d4-f43a-42ae-9c6c-e76e34d60057","resolution":{"observed_at":"2026-08-14T04:38:42.977884Z","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":"2026-08-14T04:38:43.027326Z","title":"Findings of the Association for Computational Linguistics: ACL 2025 , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.027326Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:990e8a8091cce97e0d5590b7c3882deb7c03003c70276ed8ed8b0133aa678da2","observation_id":"b274a22c-ba83-4f23-a986-c1d017103262","resolution":{"observed_at":"2026-08-14T04:38:43.027326Z","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":"2026-08-14T04:38:43.093760Z","title":"Adaptive Layer-skipping in Pre-trained","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.093760Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:462dd5d2f6e2c26d6d683a36c54683049e499b976821e0ab7718840243381be5","observation_id":"f8ef18f1-7c8a-4cf9-a446-d278e3663200","resolution":{"observed_at":"2026-08-14T04:38:43.093760Z","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":"2026-08-14T04:38:43.133447Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.133447Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:049df286dc709c47e2924bbd699c06197996719cca1d25a9e26e90955b625564","observation_id":"028ca033-c888-4d5c-8c0e-392158dc5382","resolution":{"observed_at":"2026-08-14T04:38:43.133447Z","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":"2026-08-14T04:38:43.137909Z","title":"The Fourteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.137909Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:0d3526d16845f4b3de4a6d0179d02113f51d24a331b0f1f82404ccb434c8bc7c","observation_id":"27401793-a4ab-4423-b4c5-09a3b28d476c","resolution":{"observed_at":"2026-08-14T04:38:43.137909Z","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":"2026-08-14T04:38:43.141748Z","title":"2025 , url=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.141748Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:6c91840363e97dc7c6dacf60b12e277c4eaede1cc47194924b02446e9fa2b4cb","observation_id":"81c67393-9fb1-4584-b5eb-c55e48dac2f1","resolution":{"observed_at":"2026-08-14T04:38:43.141748Z","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":"2026-08-14T04:38:43.144975Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.144975Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:5301b6f695c93ff00fb8e572ada625e503d3f659ad9891f4d94ec521b4ed8370","observation_id":"9cc6a41c-cb56-4ebc-804e-8fc1766832b5","resolution":{"observed_at":"2026-08-14T04:38:43.144975Z","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":"2026-08-14T04:38:43.148281Z","title":"DenoiseRotator: Enhance Pruning Robustness for","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.148281Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:84277e1bf5918a6d310b50346fcc8b7add0ccb76bd647d89bb41a4e98834a0ce","observation_id":"64399209-ef7d-4092-8e99-674fbac8eeee","resolution":{"observed_at":"2026-08-14T04:38:43.148281Z","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":"2026-08-14T04:38:43.152360Z","title":"Forty-second International Conference on Machine Learning , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.152360Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:72935a421b8a4213cf95b2666d2f58f7d3da7de0b34ce92096ba24705d4d0f48","observation_id":"1408af46-e47d-4425-8734-2a8d039adbd0","resolution":{"observed_at":"2026-08-14T04:38:43.152360Z","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":"2026-08-14T04:38:43.156012Z","title":"2025 , url=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.156012Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:ead42be79c81f513950e34fe8853be134485d7d27013d25fdffe7cb979925d79","observation_id":"be29435f-cb5d-4e85-95fc-e5d2c6274afa","resolution":{"observed_at":"2026-08-14T04:38:43.156012Z","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":"2026-08-14T04:38:43.159230Z","title":"The Thirteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.159230Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:7006a87442b4f851d48b5761f617fe7d908d3ca8603293a12c185575e8954899","observation_id":"1c21f8be-9582-481e-9118-fadf6f6fefe4","resolution":{"observed_at":"2026-08-14T04:38:43.159230Z","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":"2026-08-14T04:38:43.162576Z","title":"The Fourteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.162576Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:7be9dfab4e2c6fea917e1e9e34dc226620d8627a76502af8581098570767ed9a","observation_id":"b74e8425-2f81-4383-b7d6-14d085f80a83","resolution":{"observed_at":"2026-08-14T04:38:43.162576Z","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":"2026-08-14T04:38:43.167566Z","title":"Forty-second International Conference on Machine Learning , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.167566Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:2ba8c2646c7d3b5f6e84df3c606fac55b678b65c6ef601d10a2df9a7a5d0d996","observation_id":"26d7ee92-31b0-446b-9e86-7c7814ee3eb0","resolution":{"observed_at":"2026-08-14T04:38:43.167566Z","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":"2026-08-14T04:38:43.226646Z","title":"The Thirteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.226646Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:b03dce1cb14815d0866d190efb9ec3b5641035078be10e2519d4311ba32f3a0d","observation_id":"821dd2f0-25ba-49a9-a635-82ae4136b4c8","resolution":{"observed_at":"2026-08-14T04:38:43.226646Z","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":"2026-08-14T04:38:43.267429Z","title":"2025 , url=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.267429Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:1e6c113247ad2a873fef47aafd1abe0c4830b1053b2d7ef571449e49995b612a","observation_id":"3745c51c-1b23-437c-9416-dc9bd5c26a97","resolution":{"observed_at":"2026-08-14T04:38:43.267429Z","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":"2026-08-14T04:38:43.285383Z","title":"Improving Model Representation and Reducing","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.285383Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:c2ea795af1169473ba71c14dfb725cf596e012cb5ce929bf2deccd5ab208c484","observation_id":"58b8d445-781d-4753-961f-735130d7bfc7","resolution":{"observed_at":"2026-08-14T04:38:43.285383Z","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":"2026-08-14T04:38:43.289210Z","title":"Probe Pruning: Accelerating","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.289210Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:7dd323cf3017c0470e95706c508677ffb90ee17abf413bf04c1769cfbcb66d2b","observation_id":"dff7583e-0a41-4f88-ab36-0765a24289aa","resolution":{"observed_at":"2026-08-14T04:38:43.289210Z","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":"2026-08-14T04:38:43.292091Z","title":"2025 , url=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.292091Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:b8e275309fe084d09459d8bc8f3ad8397c469c0fc9e9297a4f14bb8d182e626f","observation_id":"b163ea02-e318-480f-ac4b-35ab6dd4ba5c","resolution":{"observed_at":"2026-08-14T04:38:43.292091Z","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":"2026-08-14T04:38:43.295334Z","title":"The Unseen Frontier: Pushing the Limits of","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.295334Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:4f05b1946a59289952faef452680d8de8defbcacbb26bd3e66d64ab70e9fbd58","observation_id":"1ac646ef-c7a3-4054-8189-6d52b4bf2eec","resolution":{"observed_at":"2026-08-14T04:38:43.295334Z","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":"2026-08-14T04:38:43.300299Z","title":"Yang , booktitle=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.300299Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:5452b6707f727a5ba98db79b844fcba03ad6e7d69741355765d27167f02d2125","observation_id":"edf5bb3c-3c5c-46f8-9c69-aa8d342449e9","resolution":{"observed_at":"2026-08-14T04:38:43.300299Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.05821","last_updated":"2025-08-28T03:57:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-10T08:41:24Z","title":"ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.05821","snapshot_observed_at":"2026-08-14T04:38:43.303439Z","title":"arXiv preprint arXiv:2312.05821 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.303439Z"},"links":{"cited_paper":"/paper/2312.05821","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:055678cf7463e121444fffea5aeeb7dfa78edbc5f7eb90bce00218d5ba90834e","observation_id":"75a565b1-164b-444d-9d0b-2ab47ded1eac","resolution":{"observed_at":"2026-08-14T04:38:43.303439Z","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":"2026-08-14T04:38:43.307464Z","title":"2025 , url=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.307464Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:1504c425e87eb9cc4d282a4ee5542d274039cddc09ac401f4af01877958569ee","observation_id":"6b11784d-0602-4cc9-9e4c-53fa648d48b7","resolution":{"observed_at":"2026-08-14T04:38:43.307464Z","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":"2026-08-14T04:38:43.315098Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.315098Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:790766e4fd65d60498ddbf789e220a0de3ce703fdd2576e665622029dc4193b3","observation_id":"419434e1-b714-4607-901a-3ba4b7d347c4","resolution":{"observed_at":"2026-08-14T04:38:43.315098Z","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":"2026-08-14T04:38:43.319039Z","title":"arXiv preprint arXiv:2505.23966 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.319039Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:8aee94b06ab4296871a9365a5ab22eca628fcfdb6be3fd21c945d141d31c0a25","observation_id":"fd2209df-2878-424c-9add-1ba07d99186a","resolution":{"observed_at":"2026-08-14T04:38:43.319039Z","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":"2026-08-14T04:38:43.331293Z","title":"Abdelfattah and Diana Marculescu , booktitle=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.331293Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:b6ea1b2fcd6cbaa2450e5624d844a0efb2031b35a38bd3bfd1cd3a93c213b35b","observation_id":"eb73c235-9d85-44ad-8940-42e99c1daadd","resolution":{"observed_at":"2026-08-14T04:38:43.331293Z","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":"2026-08-14T04:38:43.407870Z","title":"2026 , url=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.407870Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:aa5a169986daa2d454f9fd177d5b2a1f6f07acaf493b7fb11aed4a9b8aef629f","observation_id":"c45e239e-52bc-482a-a19e-be76e743ac45","resolution":{"observed_at":"2026-08-14T04:38:43.407870Z","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":"2026-08-14T04:38:43.411297Z","title":"arXiv preprint arXiv:2505.20112 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.411297Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:8e0a22b810141e3721d3e65d4cc0d692b707ab0307483603e127cef0c41ef96d","observation_id":"169a462e-033a-4b22-8d4a-1d416da7259c","resolution":{"observed_at":"2026-08-14T04:38:43.411297Z","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":"2026-08-14T04:38:43.414423Z","title":"2025 , url=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.414423Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:92b36267590e51cfe29a9ef3c3e246aee893c0238db440177433e191fe236651","observation_id":"11fe8cd8-0a44-40f0-9cf5-6de1f8e295b3","resolution":{"observed_at":"2026-08-14T04:38:43.414423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08436","last_updated":"2025-06-10T04:19:38Z","snapshot_observed_at":"2026-08-11T02:30:39.007687Z","submitted_at":"2025-06-10T04:19:38Z","title":"Olica: Efficient Structured Pruning of Large Language Models without Retraining","version":1},"cited_work":{"arxiv_id":"2506.08436","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.08436","snapshot_observed_at":"2026-08-14T04:38:46.685324Z","title":"Olica: Efficient Structured Pruning of Large Language Models without Retraining","venue":"cs.CL","work_id":"a0fbf36c-511d-497b-a5b9-4b9b397a5231","year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.422476Z"},"links":{"cited_paper":"/paper/2506.08436","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:801aa5a8ac63f230187784f3dae97bc870155939f14504dedde75208aa6b3d55","observation_id":"764a5542-9b0b-4e7c-8e20-28705e2842dc","resolution":{"observed_at":"2026-08-14T04:38:46.738810Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2505.18413","last_updated":"2025-05-23T22:39:54Z","snapshot_observed_at":"2026-08-14T12:49:09.033231Z","submitted_at":"2025-05-23T22:39:54Z","title":"LatentLLM: Attention-Aware Joint Tensor Compression","version":1},"cited_work":{"arxiv_id":"2505.18413","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.18413","snapshot_observed_at":"2026-08-14T04:38:46.539891Z","title":"LatentLLM: Attention-Aware Joint Tensor Compression","venue":"cs.LG","work_id":"d0013c25-2132-4f51-b699-c5a31a269d03","year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.426005Z"},"links":{"cited_paper":"/paper/2505.18413","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:dd9434b3ddc7354be4b0159511c8a49a635a77f5199b28551e2cf61d47f522ff","observation_id":"adade29a-fc6d-4736-a99c-fb4060c614f5","resolution":{"observed_at":"2026-08-14T04:38:46.576638Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2026-08-14T04:38:43.429445Z","title":"arXiv preprint arXiv:2502.01403 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.429445Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:fc09aabd9966dc864dfdbce32e3fd0529cbe16723d89a6483d6d86c7dfd721b1","observation_id":"0fa9e180-831d-42c2-bbf1-72f69fb12895","resolution":{"observed_at":"2026-08-14T04:38:43.429445Z","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":"2026-08-14T04:38:43.470433Z","title":"The Thirteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.470433Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:cb8c96452f87207819cc6bbf1c3abce13be525ca005f029024cad4f59e80b11a","observation_id":"295df410-b165-4e01-9306-7fd5d7a1676b","resolution":{"observed_at":"2026-08-14T04:38:43.470433Z","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":"2511.04494","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:38:46.441848Z","title":"arXiv preprint arXiv:2511.04494 , year=","venue":null,"work_id":"eeb4d50f-9ef4-4755-adfb-9c4237f2e4b1","year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.530125Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:17c281ea57c81039b7fefc1809fb70cc8bbff96f7871dd5d9210cb97fafa5196","observation_id":"d3079f03-f2a8-4e39-bfcf-ded5f622fdfb","resolution":{"observed_at":"2026-08-14T04:38:46.447308Z","resolver_source":"raw_fallback","status":"verified_exact"},"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":"2501.19090","last_updated":"2025-08-13T06:56:55Z","snapshot_observed_at":"2026-08-14T23:27:00.870657Z","submitted_at":"2025-01-31T12:36:31Z","title":"Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models","version":3},"cited_work":{"arxiv_id":"2501.19090","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.19090","snapshot_observed_at":"2026-08-14T04:38:46.369213Z","title":"Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models","venue":"cs.LG","work_id":"3127b341-70d0-4c51-af1b-545b46b0e058","year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.574201Z"},"links":{"cited_paper":"/paper/2501.19090","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:8a009ff3536846e1dfc1a08fa2fb85fd660eafcefe251fbb1aaad075f1078961","observation_id":"b7ff421f-9433-4a1e-9a84-84ec82db55f1","resolution":{"observed_at":"2026-08-14T04:38:46.373588Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2505.05086","last_updated":"2025-07-24T08:52:22Z","snapshot_observed_at":"2026-08-07T15:48:52.154611Z","submitted_at":"2025-05-08T09:34:15Z","title":"Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.05086","snapshot_observed_at":"2026-08-14T04:38:43.578260Z","title":"arXiv preprint arXiv:2505.05086 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.578260Z"},"links":{"cited_paper":"/paper/2505.05086","citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:24a5c9f155c1fbb3f24d9ea55a892c4a96712ff710492d0cb79a43d48213fa8b","observation_id":"d623f016-e642-477f-966b-494f62b8d91a","resolution":{"observed_at":"2026-08-14T04:38:43.578260Z","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":"2026-08-14T04:38:43.581206Z","title":"Lee and Shengjie Sun and Wei Xue and Yike Guo , booktitle=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.581206Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:48c1aed9b7819b4061cc0ba03dff606b37b257e58b03844cf2dcc6a639c46b9d","observation_id":"abe743bb-fdc3-40f3-baa9-7a914f7aba3d","resolution":{"observed_at":"2026-08-14T04:38:43.581206Z","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":"2026-08-14T04:38:43.583803Z","title":"Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.583803Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:e7ccf33b7ce1e0b4f0a1fba54fe133e79a5c13791ae1e04b7baba2dc2835bab1","observation_id":"ad0ebed3-d3e4-4606-a68a-2c560120c4fc","resolution":{"observed_at":"2026-08-14T04:38:43.583803Z","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":"2026-08-14T04:38:43.586563Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.586563Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:10c4b3aa6c418333fbe6bcd8885c84a40c406529e8f8ddf83deed486190bcba6","observation_id":"01cbce1f-068d-4984-95d2-bbf5743b92f8","resolution":{"observed_at":"2026-08-14T04:38:43.586563Z","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":"2026-08-14T04:38:43.589285Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.589285Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:82287c07682477ba873dc77e956ef85fd81379da1a9113b4be7851f5408ac0bd","observation_id":"a7fcd9b1-1c77-43bb-9aa9-8d3e86998f8f","resolution":{"observed_at":"2026-08-14T04:38:43.589285Z","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":"2026-08-14T04:38:43.593295Z","title":"2026 , url=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.593295Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:fded14ce068c389c2d619d26e0fa73c76d25d45a3bf160c17315571a15c3b587","observation_id":"46a23d3b-3638-457a-befd-65324f745597","resolution":{"observed_at":"2026-08-14T04:38:43.593295Z","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":"2026-08-14T04:38:43.596628Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.596628Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:8708a803d4ea051afc673f762cc8d6b3da138d6af37a3b9b642da1656de62c6e","observation_id":"60e9bc2d-7d5d-45e9-b681-c01cc0de600a","resolution":{"observed_at":"2026-08-14T04:38:43.596628Z","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":"2026-08-14T04:38:43.599946Z","title":"2025 , url=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.599946Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:c83b800bf4b9111938d183e25253f5cae0d93cb03c94c17c9b452d360c0bbb05","observation_id":"9355b995-188b-41d7-89a2-4740f8f5a618","resolution":{"observed_at":"2026-08-14T04:38:43.599946Z","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":"2026-08-14T04:38:43.603355Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.603355Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:b9dbfab97d42ddb78e4116e3de9621213a02bdc997af650d9dfa71c0c4892f6a","observation_id":"a3c82035-56a4-44d3-a95c-861503e71bc1","resolution":{"observed_at":"2026-08-14T04:38:43.603355Z","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":"2026-08-14T04:38:43.606565Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.606565Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:ac7ff480547c560e37c420533fc89edc5f049436b6a4272c1ea697b93060ca6a","observation_id":"73201333-a88e-461f-8385-a0c0cd9be647","resolution":{"observed_at":"2026-08-14T04:38:43.606565Z","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":"2026-08-14T04:38:43.612281Z","title":"Distribution-Aligned Decoding for Efficient","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.612281Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:304b4a6e3c3aa6c426ed77bf3c3f8af4a9bda69bde07564469e3eccea8b3e6b3","observation_id":"040c869d-01e9-4039-85ea-fc38baaeb807","resolution":{"observed_at":"2026-08-14T04:38:43.612281Z","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":"2026-08-14T04:38:43.615630Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.615630Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:9876fc1b2c02e2e40a21867ea7d147ac9993a4914e10273844d04359819e30e1","observation_id":"bf3a70a0-d759-4aaa-9d4e-a10629928d78","resolution":{"observed_at":"2026-08-14T04:38:43.615630Z","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":"2026-08-14T04:38:43.619243Z","title":"2025 , url=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.619243Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:48618b4875f3e2d6ee825e2693c2d43745dcaab35d2d0153631458b26d8c0bcc","observation_id":"5cd29ddf-8735-4bc8-9a06-4ca48a053d90","resolution":{"observed_at":"2026-08-14T04:38:43.619243Z","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":"2026-08-14T04:38:43.622546Z","title":"Abdelfattah and Kai-Chiang Wu , booktitle=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.622546Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:89ed1f6ed2863420a1234d54a7594d01934333315a5515138af14eaead924e03","observation_id":"a3028c6f-835f-44b9-b410-7ffb269fee7f","resolution":{"observed_at":"2026-08-14T04:38:43.622546Z","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":"2026-08-14T04:38:43.687351Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-08-14T04:38:43.687351Z"},"links":{"citing_paper":"/paper/2608.08506"},"observation_digest":"sha256:95451b9096b2e85ed529bca0575c9e60b7aa2899433c45f9a18fd44cba384abc","observation_id":"92661462-748b-4f20-83d0-e18a7fa654b2","resolution":{"observed_at":"2026-08-14T04:38:43.687351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.08506","last_updated":"2026-08-09T06:03:48Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-14T17:42:16.064743Z","submitted_at":"2026-08-09T06:03:48Z","title":"Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":96,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":196},"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 100 of 196 outbound references and 0 inbound Pith citation observations for arXiv:2608.08506."}