{"as_of":"2026-08-21T11:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d54dec0a3154d3b06ca462adafe6e6094b4541dbe30646a9325c51a29fde2b59","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:04:10.873794Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-23T19:42:24.122342Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T19:43:23.233823Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"cited_work":{"arxiv_id":"1908.09982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1908.09982","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1908.09982 (2019)","venue":null,"work_id":"92f15867-c36b-4bc0-b658-a2790f648055","year":1908},"citing_paper":{"arxiv_id":"2410.04960","last_updated":"2026-06-04T11:59:03Z","snapshot_observed_at":"2026-08-16T13:11:56.955238Z","submitted_at":"2024-10-07T11:59:54Z","title":"On Efficient Variants of Segment Anything Model: A Survey","version":5},"reference_index":160,"source":"pdf_text","source_observed_at":"2026-05-23T19:42:24.122342Z"},"links":{"cited_paper":"/paper/1908.09982","citing_paper":"/paper/2410.04960"},"observation_digest":"sha256:ea7a5cf207c5f7426ca659f2b0be78ba5772bc3c7cb888af186ab3cceb88fac2","observation_id":"532e9156-75d6-4a53-8cb5-383ca48e79d3","resolution":{"observed_at":"2026-05-23T19:43:23.237847Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1908.09982/citation-record","integrity":"/paper/1908.09982/integrity","json":"/paper/1908.09982/citation-record.json","paper":"/paper/1908.09982"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:10.622563Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.622563Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:a1b737b9c4c4484fddec140fce09949b77606f3d73c98f20c74265d2895417ee","observation_id":"d486de39-73c5-4862-ba25-50e24f91be8a","resolution":{"observed_at":"2026-08-14T11:04:10.622563Z","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":"2026-08-14T11:04:10.629100Z","title":"URL: \" 'urlintro :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.629100Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:f7e2dcc42f7690f098121428e07ad9a0df41d29e673a5dd7c6ff5aac2e84fddc","observation_id":"cd9cdb18-0ec4-401d-b5a7-cca30a8d7242","resolution":{"observed_at":"2026-08-14T11:04:10.629100Z","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":"2026-08-14T11:04:10.634290Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.634290Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:a1454d9b5b238de37b632542779da299b683700005b5f26adeeec242eb683ee6","observation_id":"00295b47-e59a-4a86-af83-621fb45b6290","resolution":{"observed_at":"2026-08-14T11:04:10.634290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.0473","last_updated":"2016-05-19T21:53:22Z","snapshot_observed_at":"2026-08-18T12:17:42.484599Z","submitted_at":"2014-09-01T16:33:02Z","title":"Neural Machine Translation by Jointly Learning to Align and Translate","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.0473","snapshot_observed_at":"2026-08-14T11:04:10.640151Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.640151Z"},"links":{"cited_paper":"/paper/1409.0473","citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:6e020d5d4a22115f246440fcd43a48a8dd4d579cd77dbbba16f5c4885c73e89c","observation_id":"54c2b060-1365-45d4-8a0f-0e9fde7aa603","resolution":{"observed_at":"2026-08-14T11:04:10.640151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.649860Z","title":null,"venue":null,"work_id":"a8e86007-d268-4a1d-bbe2-bcc03a5fd429","year":2018},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.645347Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:06e55961c5aac851fc5cdfe1f4cfd8a45fda286740f1b7806b67668a3a1fbf9c","observation_id":"2371fb0b-4988-48a0-b96a-64dd9ca5b3f9","resolution":{"observed_at":"2026-08-14T11:04:11.654483Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.635146Z","title":"Bowman, Gabor Angeli, Christopher Potts, and Christopher D","venue":null,"work_id":"e267f645-b813-44e4-9c34-d5a446c1585d","year":2015},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.650213Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:71cb0c403765c6bebe2b036bc55f807d0d717e6c197a10496be103b426c3ada8","observation_id":"59ec8c0c-3f21-4cce-9e7c-6070c9406bf7","resolution":{"observed_at":"2026-08-14T11:04:11.640067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.618823Z","title":null,"venue":null,"work_id":"562f1990-56a4-4b9d-b620-34ce6ad72664","year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.655211Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:84fd96886146dd7bf1c89ec180ebb0584299dbb1afcdeca8b0337104f0471aa8","observation_id":"9039fb3c-f551-4995-8c9e-65d066cf22ed","resolution":{"observed_at":"2026-08-14T11:04:11.623254Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.602804Z","title":null,"venue":null,"work_id":"02d0b9b5-2fe6-401c-9432-ba1db53442cd","year":2013},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.660012Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:6a77dc894d53d203b547afdbfa437dfd93aa734aa41a4e423078b2817ce61bb9","observation_id":"ab3147bd-0f9f-4112-8d6c-ad1f2781aa82","resolution":{"observed_at":"2026-08-14T11:04:11.608229Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.589343Z","title":null,"venue":null,"work_id":"4e434be1-b6df-439f-8aa6-5ed02fa1f851","year":2010},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.664655Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:053cb2d1291911e0fcbe15d28bcbb05c27969f855171ddc8eedc4c696825aa24","observation_id":"b272208d-0559-4452-a71f-47980b223d7b","resolution":{"observed_at":"2026-08-14T11:04:11.593508Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.575809Z","title":null,"venue":null,"work_id":"8b7bd4eb-3a7a-4450-8a0f-b34a545bccfb","year":2014},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.670051Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:f0e45ed4f67e75ea45c3f22b9d0307fc1c74a14ddbcdb3aea11d7bad82b75bf3","observation_id":"574bb4d8-4f29-485f-80a9-6e500d134ae3","resolution":{"observed_at":"2026-08-14T11:04:11.579921Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.561480Z","title":null,"venue":null,"work_id":"cf98aafe-604d-4027-aefe-e2ecddcdf731","year":2002},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.674972Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:b117eb1e21e90ff90a0244afbbfe31eec450fd597e58762673e376d61076e6cb","observation_id":"8050dfb3-5273-48b5-8b3c-701f545cdc49","resolution":{"observed_at":"2026-08-14T11:04:11.566045Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.546221Z","title":"u rgen T Geiger, Jort F Gemmeke, Bj \\","venue":null,"work_id":"abeb3704-0909-40ae-9fc3-ff13ad01b9a2","year":2014},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.679774Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:969e638096367c640f46802ecc12c785db6e0eda74c8b2f4681e4857f80b71ee","observation_id":"a9fe89d5-a28f-4e3c-ac34-a82f830d17b4","resolution":{"observed_at":"2026-08-14T11:04:11.551249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.530345Z","title":"Gers, J\\\" u rgen A","venue":null,"work_id":"36d1613a-d560-4e07-83a1-7a94b2480c67","year":2000},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.684287Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:26794a3a71206592c265eef08be808dcef619935f3e007fa47e35aa4b3c4c6ff","observation_id":"c8d5f86d-7a5d-4e80-8cfb-aae1a59b44a0","resolution":{"observed_at":"2026-08-14T11:04:11.535691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6115","last_updated":"2014-12-18T21:09:01Z","snapshot_observed_at":"2026-08-14T23:06:53.533484Z","submitted_at":"2014-12-18T21:09:01Z","title":"Compressing Deep Convolutional Networks using Vector Quantization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6115","snapshot_observed_at":"2026-08-14T11:04:10.689106Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.689106Z"},"links":{"cited_paper":"/paper/1412.6115","citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:17644452b6ac8fd6e236a741b30a48486397ad4cecb90b219c27014d72c1b7fd","observation_id":"565f12c5-c2cd-4ad3-bda1-50a5c63990ae","resolution":{"observed_at":"2026-08-14T11:04:10.689106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.514598Z","title":null,"venue":null,"work_id":"f0a037a6-830e-49e8-ab1e-e4540a75940e","year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.694257Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:ecfc9a2388ea9c69e0d9540cd36d66de56539b109d1c8a83622a53317fe47bed","observation_id":"6fba9bbc-00bd-4b68-8d5d-e343d1b13a38","resolution":{"observed_at":"2026-08-14T11:04:11.519382Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.499338Z","title":null,"venue":null,"work_id":"08d72a50-d1f4-407a-833b-2d06c5b35606","year":2015},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.698814Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:ac1a23aec78b3afbb67c8757c60c80ea22420593cf23065b115a5cd79ce9e543","observation_id":"cc603dc1-79e4-4c32-ad7c-17ee1e41f112","resolution":{"observed_at":"2026-08-14T11:04:11.503925Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.484778Z","title":null,"venue":null,"work_id":"006d898f-2027-4c22-97fb-648a1268c135","year":2016},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.703649Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:9526cc853ae1cd56ef74bd0393beb980a16f978003d573869ef3a8233e7660e1","observation_id":"3252db6c-c1ba-4739-8f9e-58919eb0f1f5","resolution":{"observed_at":"2026-08-14T11:04:11.489516Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.468389Z","title":null,"venue":null,"work_id":"6083daaf-4363-4ae0-8fc5-41c1f7263efc","year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.709755Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:48dc26635595c98c3bb233ac91958cc4e658a29bfa94b09bb31b603355fffdd9","observation_id":"c0c1c988-a63c-4810-a77f-a82d767c9fce","resolution":{"observed_at":"2026-08-14T11:04:11.473353Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.453213Z","title":null,"venue":null,"work_id":"02316bee-54fd-4849-910c-80b15c64971f","year":2015},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.714694Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:1fd0228f272d236cc53ea8715e0bef4b2680e159b62fa075a1cf2a973146d02e","observation_id":"109c7668-18fa-48ba-9df4-78bd3383ee2f","resolution":{"observed_at":"2026-08-14T11:04:11.457953Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T11:04:10.720155Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.720155Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:b882033e2ec6ea698278c3c424b854ea759eaea1f80ebe590a0a655d74ab6d73","observation_id":"37da01c4-f08f-42d5-b809-d982af248eab","resolution":{"observed_at":"2026-08-14T11:04:10.720155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.428685Z","title":null,"venue":null,"work_id":"fc6bbec5-b405-4ddd-bb2a-74f65cd78653","year":2016},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.725260Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:41240e5e42766e924b97ad068ef1e3d6670f94da3d55a02caa0d5393864b6897","observation_id":"d38b868c-19de-4872-925f-f416c4c5edcf","resolution":{"observed_at":"2026-08-14T11:04:11.433234Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.07365","last_updated":"2018-01-23T01:30:34Z","snapshot_observed_at":"2026-08-14T19:52:57.840179Z","submitted_at":"2018-01-23T01:30:34Z","title":"Learning to Prune Filters in Convolutional Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.07365","snapshot_observed_at":"2026-08-14T11:04:10.729718Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.729718Z"},"links":{"cited_paper":"/paper/1801.07365","citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:163282145d5644f7b868b4f17e17ace5cace506cd287eaaedcf942d3afd00668","observation_id":"bc9a148e-34c3-48f0-bb8a-7ef6d1f493ed","resolution":{"observed_at":"2026-08-14T11:04:10.729718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.414201Z","title":null,"venue":null,"work_id":"1d7733d2-30c6-4984-9bd2-463f365a1744","year":2014},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.734354Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:fc7a2d43c26f8719776feea2ed26ddc2a4ed7eb83a0203a3a750470e72cd4660","observation_id":"8c91a7f8-8330-476a-b539-d07777e56e1a","resolution":{"observed_at":"2026-08-14T11:04:11.418876Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.400715Z","title":null,"venue":null,"work_id":"a006a916-22c9-4d50-8aeb-38e0afb1d2ab","year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.738649Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:b2bcbc9a2d30d7073d2e6b884cdca7c154f67ff429fa3ec4a317727e00760dd7","observation_id":"f2ac2ee2-6fd9-4838-95e6-377ad75e3fe8","resolution":{"observed_at":"2026-08-14T11:04:11.404747Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.387379Z","title":null,"venue":null,"work_id":"cb0cc01e-ce18-4f89-ada7-90f595bc1320","year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.742739Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:a148e506a1bc4b2ca240d210139b1f57fade25f8cfcb661f294d942bcc9e2536","observation_id":"6dc7e289-6ade-4608-adf3-861e5625d3fd","resolution":{"observed_at":"2026-08-14T11:04:11.391558Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.372803Z","title":null,"venue":null,"work_id":"9355e6c9-32ee-4045-bd3c-f68abd616454","year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.747038Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:eb51eab834287e15677af1d976c3b637f5f3eb1ef1bf4dadb96225d6824d747b","observation_id":"0e85d33d-aee4-44f1-93fa-c2e7f792b9d2","resolution":{"observed_at":"2026-08-14T11:04:11.377381Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.357722Z","title":null,"venue":null,"work_id":"56ef6f7d-f4b4-440c-bbb3-565c322336a6","year":2018},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.751335Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:ca3f7926a2fc0d430293d642ef96e45cc6aeb0d91b75c8b0615aac2e19cede5f","observation_id":"e9f5f670-a8c6-43ed-8528-b80951f85ddc","resolution":{"observed_at":"2026-08-14T11:04:11.362660Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.342897Z","title":null,"venue":null,"work_id":"424dbe5d-ab70-4644-a5c4-d6f3eeba3bf1","year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.756702Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:689d26cbe39ff8a8677d623bb4d12238f92bb3f293e9a57be8a3feff9b9d5c19","observation_id":"56f07b1e-36aa-4274-a67f-4adc8c253a2b","resolution":{"observed_at":"2026-08-14T11:04:11.347734Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.327118Z","title":null,"venue":null,"work_id":"4c50daaa-1bfa-40ac-b39d-9c3d83184432","year":2018},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.760577Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:711eb0eebcd3dc034a76d3d69fa05124065f3b862de370f5b452dc530f4f97cc","observation_id":"e0d36a79-86d9-4771-8c43-44be4aba9566","resolution":{"observed_at":"2026-08-14T11:04:11.332324Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.310357Z","title":null,"venue":null,"work_id":"68ab89ad-5ab1-47c8-ace6-a9a9248eff20","year":2016},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.764455Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:48e54890a55d1420bb6f55edf7f5d0a9e355593f2da3b0ed4eec8db08d1b6962","observation_id":"e44bf60a-0f7f-4d57-bb6f-77f4b33446a5","resolution":{"observed_at":"2026-08-14T11:04:11.315163Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.294871Z","title":null,"venue":null,"work_id":"3eb643b7-ac91-4f7d-a1ae-d2f95c4c7189","year":1992},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.768625Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:340124ff93e8cef42127d6e46ef168fe8a492bb0a0d876f3ce38798f77d7c05d","observation_id":"5bee9fa5-f5f4-49f1-ad3f-e07cedb7b9cb","resolution":{"observed_at":"2026-08-14T11:04:11.299867Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.279302Z","title":"Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini","venue":null,"work_id":"28c7541b-d247-4c4b-8422-5fadcc96e4cf","year":1993},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.773039Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:edca260766dca98990344206a8139f2215534e3932f6c84dc01804795065c9fa","observation_id":"1f6a0193-84fa-4a82-8153-3a706beded00","resolution":{"observed_at":"2026-08-14T11:04:11.284446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.265672Z","title":null,"venue":null,"work_id":"5d1c0ff7-6520-4cff-ad23-922a46631e9d","year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.777466Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:08746f0639efd28a7f0e8f86e07a2bc17a66a3dac9354a2c087a8600dd4cebd7","observation_id":"47c5bf9f-374b-4d81-b9ae-25a4191b9220","resolution":{"observed_at":"2026-08-14T11:04:11.269735Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.250446Z","title":null,"venue":null,"work_id":"ccd4fa4a-3267-450a-8a9d-e8b2846cda50","year":2018},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.782019Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:28919eb4772eea9211d8df39b664f232fa6b6bf9e22fdca3d01c870ce5bd4045","observation_id":"ad267dfe-4859-4d3f-b097-08ce2cd0d08a","resolution":{"observed_at":"2026-08-14T11:04:11.255131Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T11:04:10.786466Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.786466Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:886ee2b0e11a77c33ffb0e6dcaf3b49a8cd467248d96fe0c5c7b9f87daa82e7a","observation_id":"8a4af798-5f40-40ce-b157-d68c3e8b66c7","resolution":{"observed_at":"2026-08-14T11:04:10.786466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.225108Z","title":null,"venue":null,"work_id":"86ed05a7-064d-4597-af51-691293687fc6","year":2018},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.791330Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:ba2a789a2f5202b87e72d699f59e0e99d2a817966b2ecabfbb20c1b2d8c005c2","observation_id":"3f4d8ffb-c96c-4710-895b-4b037323cc20","resolution":{"observed_at":"2026-08-14T11:04:11.230682Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.209633Z","title":null,"venue":null,"work_id":"e28cbfad-a3b6-4756-a591-03bff80cc44b","year":2018},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.795986Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:9f206bd79d4585bef092b32803928b9418a6d08355ec8a24bbcc0ef052d4e1a6","observation_id":"fdde70ce-7a4e-45d7-9298-0055935f752d","resolution":{"observed_at":"2026-08-14T11:04:11.215008Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.193900Z","title":null,"venue":null,"work_id":"93d18e06-8de3-4975-afc5-c2eae3a1d398","year":2012},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.800577Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:8e63a24fe59260acfb97fb579eca9b9ff0c8b7ae855fd8da5036e122b7db0ff7","observation_id":"b985972e-a15e-460f-979f-424f7e50eac8","resolution":{"observed_at":"2026-08-14T11:04:11.198942Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.180169Z","title":null,"venue":null,"work_id":"ebcdc678-9642-4297-a18d-7ff85ea07164","year":2013},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.805070Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:9e428050d8fbe83eeb1f7a1129d3f871b1bdac92bddcc6426823125024b241c2","observation_id":"665aa007-c42d-4a80-b47d-678be165fb61","resolution":{"observed_at":"2026-08-14T11:04:11.184372Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.166088Z","title":null,"venue":null,"work_id":"fa07cdd1-a034-464e-b586-9af7b83df916","year":2011},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.810135Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:73f3efe4ba39e94d0cd825254741b6a2e586a50c96a4549b3786ec91cee8571d","observation_id":"22ae704d-8b16-4087-8472-b001f58dcb0a","resolution":{"observed_at":"2026-08-14T11:04:11.171056Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.146253Z","title":null,"venue":null,"work_id":"2e7afb7a-4c06-4373-9399-de968ef45bdd","year":2018},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.814688Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:984e1374d584516a9cce93e2ee37f293fdae7bb4c70236761d57e6a3c940d1fc","observation_id":"c17d000e-208a-48f3-9b77-20a877d0cb9a","resolution":{"observed_at":"2026-08-14T11:04:11.152187Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.129882Z","title":null,"venue":null,"work_id":"9e3b9038-cc62-4746-b44b-634feb7639aa","year":2016},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.819496Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:0b9ed106f07a4e0ea75360ca8d64ab029f62d04728a2af4f79d0f8a4318093f7","observation_id":"95a82a22-bf1e-41a8-89d2-0311f7bc9f7e","resolution":{"observed_at":"2026-08-14T11:04:11.135407Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.113536Z","title":null,"venue":null,"work_id":"bbdd62cb-62b7-43c5-b6b1-601600ce6ca6","year":2016},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.825124Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:e9ef402344b9e75e6c6e47c76c54aa147072f1fe55854e3650ffae6bca3a40d0","observation_id":"caec8131-c765-4e05-a69f-c685d26a76c6","resolution":{"observed_at":"2026-08-14T11:04:11.118885Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.098838Z","title":null,"venue":null,"work_id":"205d37cb-0c56-40bb-b754-af476d44f385","year":null},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.830111Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:e91e25f3459da7262e99b3d86f7c915526cd5d74e3f953f995cf16fca850eeaa","observation_id":"5cf80829-10ff-4081-b524-ee79603e517b","resolution":{"observed_at":"2026-08-14T11:04:11.103164Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.085252Z","title":null,"venue":null,"work_id":"4b852800-fa53-4c3b-843d-00bb478fbd97","year":2016},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.834842Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:7f260cdb72902168b5dfb5ae7268c37cbbb620545b4e10855ba9ca14b58744a1","observation_id":"8af0c67e-3474-4c4c-b900-0b796cc8a34a","resolution":{"observed_at":"2026-08-14T11:04:11.089461Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.069041Z","title":"Manning, Andrew Ng, and Christopher Potts","venue":null,"work_id":"48add66c-d3ad-42e0-8a0d-7e0baa83e189","year":2013},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.839351Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:6b246a8e38e9f4d19c0ce2c6da8f6b3d91f470f8b643a8f01cd3a746241db1c1","observation_id":"cd9257d5-2711-45f3-a797-7098b6c4a876","resolution":{"observed_at":"2026-08-14T11:04:11.074974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.054222Z","title":null,"venue":null,"work_id":"d17ba815-82cc-497e-896a-1d319e8dd177","year":2012},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.843895Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:d35ca3ebe087f9138d541866efca79219bb1d3e0a09bd6c92353484ac3e2809b","observation_id":"18c94d08-cdbf-4f82-b31e-6e687228103e","resolution":{"observed_at":"2026-08-14T11:04:11.058939Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.037666Z","title":null,"venue":null,"work_id":"425b5fb3-91b3-43fa-adcf-828727375fed","year":2014},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.849097Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:fb0b5399bffd7c31d6281b5809d358a0bcf1a90d9c9afe55d0f5233c302072b8","observation_id":"d1740a0e-1b0f-456c-820f-a05b224442b4","resolution":{"observed_at":"2026-08-14T11:04:11.042876Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.021316Z","title":null,"venue":null,"work_id":"6aad6e07-670a-4fa3-9d60-06cec54d863b","year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.854299Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:e16b95ee2bae1ff79a278ae01c233905c559b47d3bba1ea50d2499dd274437d9","observation_id":"406ee5dd-3eee-400d-bda1-ea755da5f4ea","resolution":{"observed_at":"2026-08-14T11:04:11.025998Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:11.006479Z","title":null,"venue":null,"work_id":"099381ce-689b-4201-8717-85b0388cbc62","year":2014},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.859111Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:3995400000fe9abce85fbdc42044f2f025cd898faaf961b89b2c5bd334c2c8f9","observation_id":"c63efca4-2dcd-4c4d-a683-48703c2bb2ce","resolution":{"observed_at":"2026-08-14T11:04:11.010579Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:10.991041Z","title":null,"venue":null,"work_id":"e5269358-d912-4b9a-be41-3dddb99476ca","year":2018},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.864229Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:28cbe26e35906cbf2e26ac1b3a904b7c0d4235e0e796e68b79dade4163c2f2a5","observation_id":"a349caaf-008f-4333-bc6e-e5945520e043","resolution":{"observed_at":"2026-08-14T11:04:10.996014Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:10.976057Z","title":null,"venue":null,"work_id":"6807815a-e489-40d7-8af3-1bbd9e7c3b85","year":2008},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.869269Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:6c51a8c1afc7f5f303171c1c0c609118095ced813e6c8b0f2d996a7f45daa1ee","observation_id":"ca9d640f-a903-43b0-8dea-2beea78ab77d","resolution":{"observed_at":"2026-08-14T11:04:10.980681Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:04:10.959614Z","title":null,"venue":null,"work_id":"53ed17ca-eab8-43f3-b324-9de259e857b5","year":2017},"citing_paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-14T11:04:10.873794Z"},"links":{"citing_paper":"/paper/1908.09982"},"observation_digest":"sha256:703b528cf09bfaf75d4d9c632fe8b133d42238e457306b01975e4f99729aaa2d","observation_id":"61ab1acd-533d-4780-8155-aaa639828bcd","resolution":{"observed_at":"2026-08-14T11:04:10.965530Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.09982","last_updated":"2019-08-27T01:52:07Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T11:36:01.553497Z","submitted_at":"2019-08-27T01:52:07Z","title":"On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":48,"verified_exact":0,"verified_fuzzy":5},"total_outbound_references":53},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:1908.09982."}