{"as_of":"2026-08-18T14:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5bfcea8f250d92a8c17554abdf35237d6636f549297aea2fc318144053247a93","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T17:09:23.319471Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.10803/citation-record","integrity":"/paper/2608.10803/integrity","json":"/paper/2608.10803/citation-record.json","paper":"/paper/2608.10803"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:09:23.229159Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.229159Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:c3a9e7b298409ebb5e736081a62591b63748aaff1ed3e236108e1cca3927f65c","observation_id":"b48fbe65-a236-4802-98a2-2873072af8dc","resolution":{"observed_at":"2026-08-12T17:09:23.229159Z","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":"2026-08-12T17:09:23.938908Z","title":null,"venue":null,"work_id":"42fcbbe7-9460-4080-af9e-d082419d22d5","year":2025},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.233183Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:cffa74e2e0e61336e80657e5985e50450a58519f28ea45c09b8e57cef2881b6e","observation_id":"1a885d33-c3dd-40fd-832f-d3d24f900b42","resolution":{"observed_at":"2026-08-12T17:09:23.943053Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.03961","last_updated":"2022-06-16T20:36:07Z","snapshot_observed_at":"2026-08-14T22:45:56.335948Z","submitted_at":"2021-01-11T16:11:52Z","title":"Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.03961","snapshot_observed_at":"2026-08-12T17:09:23.237064Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.237064Z"},"links":{"cited_paper":"/paper/2101.03961","citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:f17e43700333ccc5e91b9a2c5458c47923ca71ffb754a951b12b5b581a4422fb","observation_id":"093548b7-d4c9-4efa-99af-aa5a2614141e","resolution":{"observed_at":"2026-08-12T17:09:23.237064Z","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":"2026-08-12T17:09:23.923873Z","title":"2019.Ascend 910 AI Processor Technical White Paper.https: //www.hiascend.com/documentAccessed on 2026-04-09","venue":null,"work_id":"ef76caca-a1c5-40bd-9597-31b8d2b26ea0","year":2019},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.241179Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:ab6444922f496599a6e4c0747e85c00eeb519ecb025ef8a0875e47aac771ad8a","observation_id":"020f82b1-389d-414f-983c-b47db09ee1a1","resolution":{"observed_at":"2026-08-12T17:09:23.930307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T17:09:23.907016Z","title":null,"venue":null,"work_id":"ce7b9fb6-3f5e-4a14-bd00-27f2feb922f6","year":2026},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.244780Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:240ad5dab0fe6325e1d55d6f584d1ab48464a3dede8d16f5aeead3882d4017ca","observation_id":"48ad50eb-55b9-44ec-8d75-e2f86d17ede2","resolution":{"observed_at":"2026-08-12T17:09:23.912289Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T17:09:23.891405Z","title":null,"venue":null,"work_id":"187ca736-da06-404c-bd1f-dfb558d3c077","year":2026},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.248652Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:7e4657b0a54289216a366cfd8174575ae5bad5f2fe6a6f0fd4a466509f7589af","observation_id":"0cfa86ff-6549-4885-a6d6-3710d0f81bda","resolution":{"observed_at":"2026-08-12T17:09:23.896473Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.03382","last_updated":"2023-06-05T15:05:24Z","snapshot_observed_at":"2026-08-16T16:54:42.644064Z","submitted_at":"2022-06-07T15:20:20Z","title":"Tutel: Adaptive Mixture-of-Experts at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.03382","snapshot_observed_at":"2026-08-12T17:09:23.253331Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.253331Z"},"links":{"cited_paper":"/paper/2206.03382","citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:5fedcd2c4270546e54a26571ec9a994bde27ea7e15a39abcb4a3bbc48e2fcadb","observation_id":"b3acb4cc-f245-4b9f-82cb-b86632a3607c","resolution":{"observed_at":"2026-08-12T17:09:23.253331Z","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":"2026-08-12T17:09:23.261224Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.261224Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:3f1062028b118431942c7a652971183d268696f9c77ed0da5e5cd0eeb2daee62","observation_id":"ac0703bb-9133-415f-87bb-628d54d159d1","resolution":{"observed_at":"2026-08-12T17:09:23.261224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.07931","last_updated":"2018-04-24T12:54:14Z","snapshot_observed_at":"2026-08-16T07:11:12.919163Z","submitted_at":"2018-04-21T09:59:29Z","title":"Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07931","snapshot_observed_at":"2026-08-12T17:09:23.264739Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.264739Z"},"links":{"cited_paper":"/paper/1804.07931","citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:85837d339274cf8dc25d50c02e94f278084a712f64de91970eeb624aa5553535","observation_id":"8ed5add5-e29d-4534-bf52-f6c1cc7a577a","resolution":{"observed_at":"2026-08-12T17:09:23.264739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.00091","last_updated":"2019-05-31T21:51:16Z","snapshot_observed_at":"2026-08-14T16:22:46.075072Z","submitted_at":"2019-05-31T21:51:16Z","title":"Deep Learning Recommendation Model for Personalization and Recommendation Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.00091","snapshot_observed_at":"2026-08-12T17:09:23.271111Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.271111Z"},"links":{"cited_paper":"/paper/1906.00091","citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:9303f8cb9fd61295cdab38a5102b71b45fc93c0e7ed74d18f8824f23527a5c34","observation_id":"35aeb16a-5db4-408c-8c10-cd0d45c3866a","resolution":{"observed_at":"2026-08-12T17:09:23.271111Z","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":"2026-08-12T17:09:23.869963Z","title":null,"venue":null,"work_id":"f0916b9e-c648-4020-8bf7-5d37d77d7e68","year":2026},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.277066Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:59800899688cc21d47fe6032ff500061df8110ab2c7503c6d1d07fe58c149f7e","observation_id":"52496599-19fb-418c-a960-d93ef7a0830a","resolution":{"observed_at":"2026-08-12T17:09:23.874674Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T17:09:23.855649Z","title":null,"venue":null,"work_id":"8ab97a16-ad7a-426c-90cf-9e3b55da9f2e","year":2026},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.281311Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:197a64c6b66b006b20a5f39c4adaf025ebd09c070b7c758b3a600284f174eaff","observation_id":"84604167-fefc-4b54-a053-8ea8706ec0af","resolution":{"observed_at":"2026-08-12T17:09:23.860103Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T17:09:23.288179Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.288179Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:6fea932eb947980e833538ec58131bb3606ee7356430b62eade5ee8dc64679ef","observation_id":"38a8acdb-d41c-4e79-bf20-58f0cc842e04","resolution":{"observed_at":"2026-08-12T17:09:23.288179Z","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":"2026-08-12T17:09:23.843839Z","title":null,"venue":null,"work_id":"8d27ddb0-f28c-4cde-ba3e-49de0825c88b","year":2026},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.291655Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:427267c3950decbe779d1da19f06f9bf7015bcffdb90e61d2fab804b008f3079","observation_id":"b06412be-eda6-4fc5-b86b-4f8846812aeb","resolution":{"observed_at":"2026-08-12T17:09:23.848196Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T17:09:23.295962Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.295962Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:cc862d27601958458fe4b58397da52e34b8b3ebcf99f06caa411a44347d189f0","observation_id":"b15fb091-bb1e-4f41-8e56-0566fb248395","resolution":{"observed_at":"2026-08-12T17:09:23.295962Z","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":"2026-08-12T17:09:23.301656Z","title":"Abel, Xu Guo, Jianbing Dong, Ji Shi, and 11 Kunlun Li","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.301656Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:17c360e985b78971bd4839cd48bcc647da3ff49424c576c9f48f0cd8908ed0c1","observation_id":"27215b18-e31d-4e50-8d0b-ed28dc23ffd6","resolution":{"observed_at":"2026-08-12T17:09:23.301656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09580","last_updated":"2024-09-25T18:30:28Z","snapshot_observed_at":"2026-08-16T14:42:49.575644Z","submitted_at":"2023-11-16T05:31:21Z","title":"MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09580","snapshot_observed_at":"2026-08-12T17:09:23.305213Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.305213Z"},"links":{"cited_paper":"/paper/2311.09580","citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:fb1df373ff4a0e25e13a4c1676db55b9cd944b64e850384fa7f894ff987d3954","observation_id":"3fc965f1-7b80-4584-b9f5-32ce5b42054d","resolution":{"observed_at":"2026-08-12T17:09:23.305213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.01547","last_updated":"2020-08-12T11:25:49Z","snapshot_observed_at":"2026-07-06T09:44:27.316023Z","submitted_at":"2020-07-28T13:42:02Z","title":"TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.01547","snapshot_observed_at":"2026-08-12T17:09:23.309169Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.309169Z"},"links":{"cited_paper":"/paper/2008.01547","citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:171d2c5053d458ffc2771b45a04ad64ef34a2276d1f7cd564d63333c12f9d952","observation_id":"156984e9-8b5a-40e8-ab73-9cb974cc4e36","resolution":{"observed_at":"2026-08-12T17:09:23.309169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3579355","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:09:23.352327Z","title":null,"venue":null,"work_id":"95244ab3-b10b-4804-8477-96ffb3e2f2a2","year":2023},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.313477Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:5067749180a2a1f36aff43a6e3baed84d9fdec008a10316b15b4fa19e2a20d62","observation_id":"5fed5a79-9f86-4d4f-807b-0113c616b61e","resolution":{"observed_at":"2026-08-12T17:09:23.358537Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T17:09:23.319471Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T17:09:23.319471Z"},"links":{"citing_paper":"/paper/2608.10803"},"observation_digest":"sha256:f47c673823cabec0317f5ebc002eaca357387818d88c5746314698c59e8a49e8","observation_id":"b0fe6b79-68fd-413c-8ecc-5fbcedad9a38","resolution":{"observed_at":"2026-08-12T17:09:23.319471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.10803","last_updated":"2026-08-11T11:22:19Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-08-17T21:16:27.400275Z","submitted_at":"2026-08-11T11:22:19Z","title":"Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":1,"verified_fuzzy":1},"total_outbound_references":20},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2608.10803."}