{"as_of":"2026-08-22T18:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b63dccda3f1629f188adaf6f1d2f78df5caaffe73951db2d579f2f29e823118","coverage":[{"denominator":62,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":62,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T10:39:56.953432Z","state":"measured"},{"denominator":62,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":62,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.10797/citation-record","integrity":"/paper/1908.10797/integrity","json":"/paper/1908.10797/citation-record.json","paper":"/paper/1908.10797"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.991607Z","title":"To prune, or not to prune: exploring the efficacy of pruning for model compression,","venue":null,"work_id":"d138c047-38af-490e-826a-4bf316180968","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.640234Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:8ac629f7380be2213ce4b31b2f1d6e692be958bdc860eb8a37fa319565a864f8","observation_id":"97b080c0-a41e-4970-bdd2-3add89b7f55f","resolution":{"observed_at":"2026-08-14T10:39:57.997760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.968942Z","title":"Exploring sparsity in recurrent neural networks,","venue":null,"work_id":"cf45caeb-2138-43fb-b3c4-2e27d5ac4baa","year":2017},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.645526Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:a03a49a25ba841ad6ada93b1d892e60226b101c74b1dff012352bfba548188bb","observation_id":"aba7a75c-f54b-49ee-8bb5-1252ca8dc63a","resolution":{"observed_at":"2026-08-14T10:39:57.979035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.950394Z","title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding,","venue":null,"work_id":"123f5a77-819f-4544-a4a8-2dc0ce6db1a1","year":2016},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.652585Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:e2c4129fe3b264e5d1946373ad41779f28c2e4309025f2fe16621008717b66e1","observation_id":"0e987c19-1f1e-48ef-85c1-cdc17583756a","resolution":{"observed_at":"2026-08-14T10:39:57.955050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.936069Z","title":"Learning both weights and connections for efficient neural network,","venue":null,"work_id":"6071d53a-cf10-484b-9ef2-708b0a03ff30","year":2015},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.658281Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:a6a2e358ece4ed93729fbd6bedae88be9e74f981cf381e809a5644b1d0d6d9c5","observation_id":"02fba9ba-db99-4902-a739-5958481d927d","resolution":{"observed_at":"2026-08-14T10:39:57.941514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.921137Z","title":"Persistent RNNs: Stashing recurrent weights on-chip,","venue":null,"work_id":"937992cc-8799-40fa-8296-30179c1d3253","year":2016},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.663903Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:4b100bf8c63517dd38b936271acfb94c146560fa1a064931c4ef8a9c2593a752","observation_id":"15b9591c-999e-406c-ac3e-e6466969ebe7","resolution":{"observed_at":"2026-08-14T10:39:57.925943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.907305Z","title":"Convex neural networks,","venue":null,"work_id":"41fa57e3-d187-4711-a5ff-68d88a737baf","year":2006},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.670629Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:9570832db04ad09dce364a2cd7da02241aa8b140b1e3e442d6e756627b390bdb","observation_id":"fe5e0fd1-0f51-4c99-9d6d-eb255e8c8531","resolution":{"observed_at":"2026-08-14T10:39:57.911404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-16T18:00:58.008096Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-14T10:39:56.675841Z","title":"Distilling the knowledge in a neural network,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.675841Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:aafc3e12170224528919f269cc1059c425404ddda921c6e24561e022edcff2c4","observation_id":"0904977a-4ab8-4347-baef-3b215f8312f0","resolution":{"observed_at":"2026-08-14T10:39:56.675841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.03530","last_updated":"2017-02-26T19:36:40Z","snapshot_observed_at":"2026-08-01T16:56:59.989486Z","submitted_at":"2016-11-10T22:02:36Z","title":"Understanding deep learning requires rethinking generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.03530","snapshot_observed_at":"2026-08-14T10:39:56.681280Z","title":"Understanding deep learning requires rethinking generalization,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.681280Z"},"links":{"cited_paper":"/paper/1611.03530","citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:14d43f68e35b862406baef8aad066b3cc0889eb6cf536f8be034ed44e44e1156","observation_id":"3ea78df8-b161-48d9-a025-9f751e4c31e2","resolution":{"observed_at":"2026-08-14T10:39:56.681280Z","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":"2026-08-14T10:39:57.894641Z","title":"BinaryConnect: Training deep neural networks with binary weights during propagations,","venue":null,"work_id":"e13ea54f-c0dc-4d34-97b1-913c55b06ba5","year":2015},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.686152Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:ce203fae5f8b642bcb23f8dfd5f5ecbf2cf25a4de91cdcabcd18ed635af0f982","observation_id":"9d3469ad-f7c5-4f2e-bdc1-a11843a49907","resolution":{"observed_at":"2026-08-14T10:39:57.898943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.881930Z","title":"Quantized neural networks: Training neural networks with low precision weights and activations,","venue":null,"work_id":"a995e308-76b3-47c0-9655-5f598fb6e45b","year":2017},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.690868Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:23230179b667d37f06762adce66430286de0b739718f8f9eccb7f5eb672bb197","observation_id":"1ba5a382-ea9b-4db2-ae1c-2eac2b5618f2","resolution":{"observed_at":"2026-08-14T10:39:57.886189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.867915Z","title":"XNOR-Net: ImageNet classification using binary convolutional neural networks,","venue":null,"work_id":"bca90023-755e-4678-b2b0-83fc2e765680","year":2016},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.699746Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:eb3e39569adf19d18818d0225dd9f28161119dadfb00e09a117c55b4aac659fa","observation_id":"49d6f1a1-cd66-47fc-b0f8-d7b056596054","resolution":{"observed_at":"2026-08-14T10:39:57.873344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.850061Z","title":"Optimal brain damage,","venue":null,"work_id":"fb8ad3bb-a3fc-4925-9a56-190fd3c65c2d","year":1990},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.706269Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:a076e1e988163a7760667559bdb6d463d79beff84e89bae48cfb64c4aa5a2c18","observation_id":"e1a22653-5bb2-4c7d-83f7-db86f53a0067","resolution":{"observed_at":"2026-08-14T10:39:57.855326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:56.711148Z","title":"Optimal brain surgeon and general network pruning,","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.711148Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:880ad3c8d4cb7165a6330522dd61578bccb680ebbe726a5bf170c35b4e216d55","observation_id":"62138e0a-22ef-4480-81db-da04b3403633","resolution":{"observed_at":"2026-08-14T10:39:56.711148Z","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":"2026-08-14T10:39:57.821490Z","title":"Skeletonization: A technique for trimming the fat from a network via relevance assessment,","venue":null,"work_id":"e271985f-5d20-4fa8-9cba-59f4c7535d3d","year":1989},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.715994Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:d2551f4d6e8b591349dc6bc9c59f4d8e459bcfc7b98e0dd30a94c32e1a16f923","observation_id":"95d91ce3-a2b6-44d5-adb1-f2e2c9879f1a","resolution":{"observed_at":"2026-08-14T10:39:57.826406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.805301Z","title":"A simple procedure for pruning back-propagation trained neural networks,","venue":null,"work_id":"0898d2ad-783d-4bf7-bccc-42dce55ea13b","year":1990},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.721061Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:cf22850f6110fad542f93f23de57c2ba4e0ea8e447f18c765b3ef179d2a7fb90","observation_id":"6eb28f72-7125-400d-b440-b6180ba54a2b","resolution":{"observed_at":"2026-08-14T10:39:57.809559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.789863Z","title":"A back-propagation algorithm with optimal use of hidden units,","venue":null,"work_id":"b33db3fc-ec93-4971-aa8b-73ead85ea9d9","year":1989},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.728823Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:227b70b5a554dfa579c45635dfdffcd7e7da7cc9be09630059ab35abdf5ed9a6","observation_id":"7ab500e0-4e7b-44b8-bbf4-978dce1e7ce9","resolution":{"observed_at":"2026-08-14T10:39:57.796484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.773722Z","title":"Structural learning with forgetting,","venue":null,"work_id":"51e57159-1111-471e-a4ae-1d2ef94cc70a","year":1996},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.734765Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:c1789d52a31763601aaf4d4309865ee913b541aee7c16977f4c30b373deeb031","observation_id":"35f1a46c-44b1-4690-8d7b-ff3f52f88920","resolution":{"observed_at":"2026-08-14T10:39:57.779667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.758181Z","title":"Dynamic network surgery for efficient DNNs,","venue":null,"work_id":"0b273f9d-6adc-4da0-88b5-c21404224b14","year":2016},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.740898Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:00f3b7fbdcd96ade413a434486816b5dcd0ed78a3781885de8f3c7c7f7d48227","observation_id":"514e3a6c-c0e4-4b16-ba4f-a8eb9640b83c","resolution":{"observed_at":"2026-08-14T10:39:57.763071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.743874Z","title":"Variational dropout and the local reparameteri- zation trick,","venue":null,"work_id":"07425750-4443-46c0-af39-8b1e174317a4","year":2015},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.745453Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:47f8cbc5b562809293faddfef65458abb11c465d803a6a435f93bcbb4c1197d7","observation_id":"3717d38d-220e-461f-86dd-18c82bbd7198","resolution":{"observed_at":"2026-08-14T10:39:57.748417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.728370Z","title":"Variational dropout sparsifies deep neural networks,","venue":null,"work_id":"904f0640-f2b8-4d48-9572-235e9e0e71bc","year":2017},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.750131Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:da9b71f6e621f58c592f00b4634c17ad21b5340681c125ef08247cf0ce209b32","observation_id":"277661a5-a085-46c4-b003-41bcc06c47f3","resolution":{"observed_at":"2026-08-14T10:39:57.734524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.713083Z","title":"Compressing neural networks using the variational information bottleneck,","venue":null,"work_id":"b88a70f3-f073-408c-8c35-ea864852b5a9","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.754614Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:89679551907c5296bcb05e77d781ec852c567b4f3105d743a18713a7e26f93b6","observation_id":"ed8c637d-3aa6-479c-9f2c-ff67ea3e7ffa","resolution":{"observed_at":"2026-08-14T10:39:57.718245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.698254Z","title":"Pruning filters for efficient ConvNets,","venue":null,"work_id":"cc144c2a-d3d6-4c50-86e5-5f60fe3e1056","year":2017},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.758732Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:2c8c1b0d56a3852525d6479967a91734c8002982d7f9c93ae44006bfa0509751","observation_id":"b89256f2-73a3-490e-91f1-91ed4574f954","resolution":{"observed_at":"2026-08-14T10:39:57.703009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.684850Z","title":"ThiNet: A filter level pruning method for deep neural network compression,","venue":null,"work_id":"b2eb3834-b92d-4051-acd2-d079cfbbe852","year":2017},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.763341Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:b7434feb55e080e35e6fcbb5c410c07459a9a3cd6f412392370c21754b57bf41","observation_id":"d8adeba4-6aab-4ef7-bc88-1559b4f5098a","resolution":{"observed_at":"2026-08-14T10:39:57.689445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.670525Z","title":"NISP: Pruning networks using neuron importance score propagation,","venue":null,"work_id":"1aa8119d-a30d-4573-adcc-4383790459f3","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.767524Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:e51c5fbd6482e6d7a2dd62f66912f2af5a4b8efa53a5ab4fbbe5ac2d225f9afa","observation_id":"d4991d00-a74d-47a9-846a-b5c8c0a0f363","resolution":{"observed_at":"2026-08-14T10:39:57.675262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.656987Z","title":"Compression of neural machine translation models via pruning,","venue":null,"work_id":"a0af4bea-5597-4b94-8232-4c3dd4f07cda","year":2016},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.771967Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:7d82ef72bd30b3e1bffa6de3295dd1b10b7639e2b5997c4bf5a576008b46019f","observation_id":"0932787f-9595-432c-909a-dbf5d8e8f0d9","resolution":{"observed_at":"2026-08-14T10:39:57.661568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.642264Z","title":"SNIP: Single-shot network pruning based on connec- tion sensitivity,","venue":null,"work_id":"af1daa61-4fc5-4375-9195-6215353390e6","year":2019},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.776850Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:ed103940685bca04396f830a491533db16f165e845cd9841c31cdde1e5b42d5b","observation_id":"50552a72-6395-472c-96e7-b11efe1f8c31","resolution":{"observed_at":"2026-08-14T10:39:57.648133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:56.784446Z","title":"Long short-term memory,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.784446Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:5e1dd8cc442b9184945926ae4f118de1b92a2449d3199e071fab235e08e9676b","observation_id":"48f76fb7-c090-486e-90c3-56350e5affb0","resolution":{"observed_at":"2026-08-14T10:39:56.784446Z","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":"2026-08-14T10:39:57.614028Z","title":"AMC: AutoML for model compres- sion and acceleration on mobile devices,","venue":null,"work_id":"c43dc747-7dd1-4405-8d0f-befd4a44ab4c","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.789943Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:904ed907cb5632d85ba70bfc75c4a690827cea412d159273b52bdf6e1049caf2","observation_id":"9607325b-2515-4398-b3ed-6a7d9d3ce932","resolution":{"observed_at":"2026-08-14T10:39:57.618417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.599751Z","title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks,","venue":null,"work_id":"ca797970-3171-4a47-8a54-5bf91d8dc3bb","year":2019},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.796662Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:16aa59ab810731f868ea77e3a5fd457c131640002c4eceab14a726d8d14eb94b","observation_id":"f4cc7d56-1b54-447b-ab46-025791d373d3","resolution":{"observed_at":"2026-08-14T10:39:57.604449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.11797","last_updated":"2018-05-31T03:49:25Z","snapshot_observed_at":"2026-08-19T07:37:25.076073Z","submitted_at":"2018-05-30T04:15:58Z","title":"Grow and Prune Compact, Fast, and Accurate LSTMs","version":2},"cited_work":{"arxiv_id":"1805.11797","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.11797","snapshot_observed_at":"2026-08-14T10:39:57.062616Z","title":"Grow and Prune Compact, Fast, and Accurate LSTMs","venue":"cs.LG","work_id":"3812372d-cea0-4355-8606-46a54be8335e","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.803393Z"},"links":{"cited_paper":"/paper/1805.11797","citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:959b06f7acf4c7b652cc32572e537cf357206a2a100597cb741fe4d83b0d8b74","observation_id":"a2f97539-513a-4273-ab9b-153b6e3297b5","resolution":{"observed_at":"2026-08-14T10:39:57.070509Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.587781Z","title":"NeST: A neural network synthesis tool based on a grow-and- prune paradigm,","venue":null,"work_id":"05babfc1-05bc-4111-9e7d-bd311d51bebb","year":2019},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.810823Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:b90943fbab955348433fe081ad39f9643aca85b6f23f8de9443090d933704b52","observation_id":"40680bfc-0571-4b97-ad75-60f9bd92bb16","resolution":{"observed_at":"2026-08-14T10:39:57.592133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02768","last_updated":"2020-02-25T21:50:07Z","snapshot_observed_at":"2026-08-19T07:36:40.811683Z","submitted_at":"2019-06-06T18:38:38Z","title":"Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02768","snapshot_observed_at":"2026-08-14T10:39:56.816079Z","title":"Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP,","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.816079Z"},"links":{"cited_paper":"/paper/1906.02768","citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:cb911aecc895dd2d7fffa4d9eedf54b5f06532b4dc26434037b38e7116b22f0a","observation_id":"ee2c2e3d-b517-45c8-87e7-d28befc27e03","resolution":{"observed_at":"2026-08-14T10:39:56.816079Z","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":"2026-08-14T10:39:57.575365Z","title":"Training sparse neural networks,","venue":null,"work_id":"8078b492-64ce-488b-9299-7bfeb76cce5c","year":2017},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.821730Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:601931b9a7627c403c3f596b264c4ecf51d0a6d1d21066c2c4855097c1c6416c","observation_id":"f8cd9b37-8301-4472-896d-80ff49469b8a","resolution":{"observed_at":"2026-08-14T10:39:57.579618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.563195Z","title":"Learning sparse neural networks throughl_0 regularization,","venue":null,"work_id":"61f5f193-759b-4bfc-b25e-f715749e68c1","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.826685Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:ba6623ade4beaa13f3ecf2334c02de778469d5765e14a4d0c6ed25a2ffde790c","observation_id":"20059712-42db-4d02-b3fb-174709033485","resolution":{"observed_at":"2026-08-14T10:39:57.567480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.548868Z","title":"Learning compact recurrent neural networks,","venue":null,"work_id":"246e46a9-1064-4308-9efe-cd056d472cac","year":2016},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.831292Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:a43620f0e617dd02ff34fbf400548e0270f2adfe8a6e4802d53df0d08a626477","observation_id":"04d6b156-71a7-47e5-bd05-1a363660d243","resolution":{"observed_at":"2026-08-14T10:39:57.553973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.534923Z","title":"FastGRNN: A fast, accurate, stable and tiny kilobyte sized gated recurrent neural network,","venue":null,"work_id":"929760c2-bf0c-46a9-b93d-9249584ed7ff","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.835999Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:80a3887cc67478c860d82400b63ce624e86b6bf41665b9b114fda5ecb4095902","observation_id":"b9aba393-f643-4006-b08e-b9bace845ee3","resolution":{"observed_at":"2026-08-14T10:39:57.539276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.520779Z","title":"Structured word embedding for low memory neural network language model,","venue":null,"work_id":"be76999c-31f9-41b0-9a3e-81ee8fab82fe","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.840715Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:2733d1df7a016f90bcfe74e299a9ce0873986fe4fde96f2ea655cf533f1f5113","observation_id":"ae73fc9e-ce1d-42ca-88e7-482970c19355","resolution":{"observed_at":"2026-08-14T10:39:57.526040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.504930Z","title":"LightRNN: Memory and computation-efficient recurrent neural networks,","venue":null,"work_id":"5c6b50ed-3feb-4611-b0fb-1809cea4c4e8","year":2016},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.845814Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:02b7dbc44a7f590536f3273639d1e219443db2c87f232de90c1a6207eae70f69","observation_id":"2961e34e-b53a-4bca-9e6e-9c7a08a80b17","resolution":{"observed_at":"2026-08-14T10:39:57.510101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.487683Z","title":"Exploring memory and time efficient neural networks for image captioning,","venue":null,"work_id":"15bba45b-b1ef-41c4-aa99-6f3acc2f1f5f","year":2017},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.850102Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:a87e494a4999b4ed4c60d8c865697e2684223566998326fd551b2879fa3a1433","observation_id":"abbcc520-f779-4864-b17c-228d6f266ace","resolution":{"observed_at":"2026-08-14T10:39:57.492548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.472255Z","title":"COMIC: Towards a compact image captioning model with attention,","venue":null,"work_id":"e6592ed7-14b2-43c1-ae40-a8bb815c38b2","year":2019},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.854183Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:2d3c5a7f5ed4860b2be88fcf2bcab31f6c074e0daa57ce577ab211c66d7d97a7","observation_id":"0dfe355b-3b6a-4e3c-817e-df32a93d5409","resolution":{"observed_at":"2026-08-14T10:39:57.477311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.458181Z","title":"Efficient sequence learning with group recurrent networks,","venue":null,"work_id":"98111e67-c2e8-4a81-836f-6025ce252a2c","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.858844Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:23cd372fc0f257b4c48e69f2fa4b9d3f56e28c3ed63a561fb061ab9319ecd2b9","observation_id":"6cef55c4-830d-407a-8619-3ed6a154067f","resolution":{"observed_at":"2026-08-14T10:39:57.463063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.440832Z","title":"Show, attend and tell: Neural image caption generation with visual attention,","venue":null,"work_id":"d2a81a8e-f773-4f53-b0f0-71f2fa289ce1","year":2015},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.863128Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:4b7481193871e9248121b8a80ef1971e2e8f565c3580ae4fc0e42800caa06dc6","observation_id":"2eb70257-ab70-4bbf-8227-9b6af0e60edb","resolution":{"observed_at":"2026-08-14T10:39:57.448854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.422834Z","title":"Aligning Where to See and What to Tell: Image Captioning with Region-based Attention and Scene-specific Contexts,","venue":null,"work_id":"c1eb2243-4cf2-4265-bfaa-020a32c5bf39","year":2017},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.867385Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:f1455ff493ac691c55168a9c709643776db53a4b5a9d5059f90259e2ef152b77","observation_id":"f04745c0-f408-4269-951f-b1bc3b5fc72e","resolution":{"observed_at":"2026-08-14T10:39:57.427833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.407443Z","title":"Bottom-up and top-down attention for image captioning and visual question answering,","venue":null,"work_id":"0008630c-9711-4d5c-80fc-bdba15d898fe","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.872100Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:736187330427a8423b1a36bda83c6039e8c059f44fffa7facde2e2e40b5e5660","observation_id":"5dc55f5a-03ea-48fb-a215-108af7deee0a","resolution":{"observed_at":"2026-08-14T10:39:57.412967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.388276Z","title":"Learn- ing phrase representations using RNN encoder-decoder for statistical machine translation,","venue":null,"work_id":"ce96608e-a095-4620-b2d2-c96088b31022","year":2014},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.877201Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:3899b45b8c35a4908a6daed67b83b529a5f115664a5858f2e388c7d113d2fe6c","observation_id":"17ba2ec9-0bbe-4be5-b79f-ddd5c0bb0872","resolution":{"observed_at":"2026-08-14T10:39:57.395998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.371111Z","title":"Neural machine translation by jointly learning to align and translate,","venue":null,"work_id":"8331ddc9-a31e-4378-9d96-4d06b67a11f6","year":2015},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.881261Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:5ac3f0ca5efc65a832e3b550bb1cb5672a99b2ddfaa0729b6217d87ce16fa1d7","observation_id":"fe35632a-e847-4009-be2d-2ed020733305","resolution":{"observed_at":"2026-08-14T10:39:57.377013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.01067","last_updated":"2020-03-03T05:40:51Z","snapshot_observed_at":"2026-08-17T01:19:13.238797Z","submitted_at":"2019-05-03T08:21:07Z","title":"Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.01067","snapshot_observed_at":"2026-08-14T10:39:56.886055Z","title":"Deconstructing lottery tickets: Zeros, signs, and the Supermask,","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.886055Z"},"links":{"cited_paper":"/paper/1905.01067","citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:9e818a99a834b5a8c027df823a93bd281474e6c1cb59c04f17cc41f021fa5074","observation_id":"3762fcf3-e980-4d3c-99f9-b14d53fe71ba","resolution":{"observed_at":"2026-08-14T10:39:56.886055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1308.3432","last_updated":"2013-08-15T15:19:34Z","snapshot_observed_at":"2026-08-14T04:51:04.817737Z","submitted_at":"2013-08-15T15:19:34Z","title":"Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1308.3432","snapshot_observed_at":"2026-08-14T10:39:56.890438Z","title":"Estimating or propagating gradients through stochastic neurons for conditional computation,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.890438Z"},"links":{"cited_paper":"/paper/1308.3432","citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:e9b1f99efc8ffcd4850509809bac8d14f1705812e7fb89acaf19aaaf3fe91da2","observation_id":"613c93fe-1c4e-4d49-b2db-604e793eff9e","resolution":{"observed_at":"2026-08-14T10:39:56.890438Z","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":"2026-08-14T10:39:57.351186Z","title":"Understanding the difficulty of training deep feedforward neural networks,","venue":null,"work_id":"8b018b9a-1fd8-4df6-9610-738f7a790cd7","year":2010},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.894821Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:ba54e8df55d9ecadf4d68a13e6dcaea143bfb32c4acb82ef5cbd4903c9cadbb7","observation_id":"8dee18ae-ae4f-4ef2-ae15-4b10707a3e39","resolution":{"observed_at":"2026-08-14T10:39:57.361320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:56.898506Z","title":"Going deeper with convolutions,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.898506Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:2b508fa3ba762d37f86351a415b11ae5e15f56b84366662fa9dd55a65cbf458c","observation_id":"1bbb03f6-55e3-4d24-8c6b-fd54766293bb","resolution":{"observed_at":"2026-08-14T10:39:56.898506Z","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":"2026-08-14T10:39:57.324723Z","title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift,","venue":null,"work_id":"f20c27f3-3f1a-4596-a7f6-9bdc4401efee","year":2015},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.902448Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:2ea0110eca55498fd3ed0c58e8067441c32322d3f10335fa728f790d00c2e63e","observation_id":"65a73708-f5a4-4a83-8bec-b71bcf243e6a","resolution":{"observed_at":"2026-08-14T10:39:57.329615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.311176Z","title":"ImageNet: A large-scale hierarchical image database,","venue":null,"work_id":"1bf67257-4024-4c6d-b013-005ba6fa0907","year":2009},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.906388Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:716eedde7db5e8d424c70d9fbbc1d8b27023ba50c0f865ae2b5f276862bad222","observation_id":"3102677b-1622-4ef1-88f4-354bbea64a5b","resolution":{"observed_at":"2026-08-14T10:39:57.315863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.296159Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":"c5aa1d43-a5e2-4f9b-8297-8df4a07ce013","year":2014},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.910794Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:6f0148477a97dd593e17a3c3cccfce51f2f7e1740197a1c6a11d8590ecd8559b","observation_id":"f13f2062-723f-4d5b-8330-1753af27cbbe","resolution":{"observed_at":"2026-08-14T10:39:57.301481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.270758Z","title":"Microsoft COCO: Common objects in context,","venue":null,"work_id":"bd275897-eb20-4795-8d4c-11d6d3e40f0e","year":2014},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.914806Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:d3bb6acace2bd14776f453038a73a772bc84b05f469fad07b99d02a7d1d711ed","observation_id":"1d692f07-93d6-4efe-a357-cbf408afd650","resolution":{"observed_at":"2026-08-14T10:39:57.284950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.238921Z","title":"Deep visual-semantic alignments for generating image descrip- tions,","venue":null,"work_id":"8d95c6a0-cd5a-4477-ad47-1bc465fde348","year":2015},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.918922Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:066eb3df2ba2fa51da33f364121c41662d8761e280fe790e665fc5d204025453","observation_id":"7c746da4-f1bf-4c9f-b07e-0ddc213f64f4","resolution":{"observed_at":"2026-08-14T10:39:57.249106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.221592Z","title":"BLEU: a method for automatic evaluation of machine translation,","venue":null,"work_id":"7fa4dfac-fbf4-45cb-a85e-1746c07a690c","year":2002},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.922922Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:8e6fa1f8c3e12bc5a601c31390111457bda4ce3513409c96b6481c2c7867d1b0","observation_id":"06af12a3-72b3-4783-b168-9f8840f026dd","resolution":{"observed_at":"2026-08-14T10:39:57.227137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.199099Z","title":"METEOR: An automatic metric for MT evaluation with im- proved correlation with human judgments,","venue":null,"work_id":"0fe8b29a-0077-4c7b-8208-cab27ba41574","year":2005},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.926961Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:068fda76856d31d41ecf287474241b65c557c65d67990cb0ccfc9acdb59aab68","observation_id":"ed20b865-c7cf-46c1-8334-7163afa125eb","resolution":{"observed_at":"2026-08-14T10:39:57.204870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.182137Z","title":"ROUGE: A package for automatic evaluation of summaries,","venue":null,"work_id":"5c30ce79-36b5-4ec5-be83-b27d370f4bb0","year":2004},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.931574Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:1df2394e8d8170e7c42f30d6121d9e9cff33c704004dcb22c4bab6fda310011b","observation_id":"ac8517aa-d00e-4f3e-bf76-94e14322bac2","resolution":{"observed_at":"2026-08-14T10:39:57.187479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.166242Z","title":"CIDEr: Consensus-based image description evaluation,","venue":null,"work_id":"74b3b77f-3da4-44c2-9324-6d27b6ce05c4","year":2015},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.935737Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:bc84ae44b15ee778ebd60fffb1e5db63ec2c5ad38d4b9b9b8e5f92ec704c7554","observation_id":"2220adc6-2380-42b4-9873-4676215a8b4b","resolution":{"observed_at":"2026-08-14T10:39:57.171046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:57.146967Z","title":"SPICE: Semantic propositional image caption evaluation,","venue":null,"work_id":"825a8c2d-af4d-4f19-b8ce-c7a9d12ed0c2","year":2016},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.940044Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:19a73b3ccd8d39c0d5c4ece39bb3deebc99fbf0e95734201be315e80c0a43a6c","observation_id":"82804285-9085-4b05-8aca-875c7283067c","resolution":{"observed_at":"2026-08-14T10:39:57.151676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:39:56.946556Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.946556Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:e5ed12c57b9bac2c22b46b661910dd500c7e55f07128a28329c7beb3e3b427c1","observation_id":"4d3050c2-35b8-40d3-92d0-c40d94579d6d","resolution":{"observed_at":"2026-08-14T10:39:56.946556Z","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":"2026-08-14T10:39:57.112090Z","title":"Compressing word embeddings via deep compositional code learning,","venue":null,"work_id":"fb5e70e1-07fb-44f6-bfde-fbc9e797c0d4","year":2018},"citing_paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T10:39:56.953432Z"},"links":{"citing_paper":"/paper/1908.10797"},"observation_digest":"sha256:6cd19df94b05a583e15f9cdfba7083c18e9d1f790eedc78188e429b461d2e1c7","observation_id":"21b642ee-ca29-4738-8746-5456f15abc5e","resolution":{"observed_at":"2026-08-14T10:39:57.116586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.10797","last_updated":"2019-10-28T15:51:13Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-20T08:27:02.484078Z","submitted_at":"2019-08-28T15:53:13Z","title":"Image Captioning with Sparse Recurrent Neural Network"},"reference_resolution":{"displayed":62,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":52},"total_outbound_references":62},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:1908.10797."}