{"as_of":"2026-08-18T19:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3bed63c2a6365aea7eb2cd4f801d19feba08a61e8fbea2ddff2cace319b81dcf","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T06:02:05.288835Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2608.11116/citation-record","integrity":"/paper/2608.11116/integrity","json":"/paper/2608.11116/citation-record.json","paper":"/paper/2608.11116"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.798803Z","title":"Raella: Reforming the arithmetic for efficient, low-resolution, and low-loss analog pim: No retraining required!","venue":null,"work_id":"9545376b-9990-445d-9a29-e48851eff78a","year":2023},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.107718Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:93c50fa05631cfb537bcb4bdfe23458a149213634fb1d7ac22dc23390609956b","observation_id":"afcf123e-c487-48e0-8a87-37c9f97aebeb","resolution":{"observed_at":"2026-08-12T06:02:05.802441Z","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":"2026-08-12T06:02:05.787931Z","title":"Cimloop: A flexible, accurate, and fast compute-in-memory modeling tool,","venue":null,"work_id":"38fdbefb-f4f2-42a2-8402-cc959afea357","year":2024},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.111784Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:978c7664b7eb41ac04fcf82d77717b7c5486dff272dafff1173491f98df92f6b","observation_id":"b2da83d2-a7c1-4b55-abab-b878b359cd28","resolution":{"observed_at":"2026-08-12T06:02:05.791738Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.115194Z","title":"Cacti 7: New tools for interconnect exploration in innovative off-chip memories,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.115194Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:2cafee721977a6eb3df1284ebe57e9893126c45d3f192220fb37bbd7c502b3d6","observation_id":"a2f71c71-da58-4af9-b185-d46948fbae6c","resolution":{"observed_at":"2026-08-12T06:02:05.115194Z","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":"2026-08-12T06:02:05.770690Z","title":"Pico-ram: A pvt-insensitive analog compute-in- memory sram macro with in situ multi-bit charge computing and 6t thin- cell-compatible layout,","venue":null,"work_id":"4b3b9c75-3b22-47d3-a0bc-15acb2c44a26","year":2024},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.118458Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:cab32fe3fda06e8a12830f30293e29bbe7de8412147b4f80be010984c6fca979","observation_id":"85ef68c6-d5e8-4d5a-a318-28ba7cb71c0a","resolution":{"observed_at":"2026-08-12T06:02:05.774735Z","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":"2026-08-12T06:02:05.760539Z","title":"Cap-ram: A charge-domain in-memory computing 6t-sram for accurate and precision-programmable cnn inference,","venue":null,"work_id":"4076711a-e399-4fb4-b271-738018ca5e2b","year":1924},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.121735Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:949aeea406b9af3fbd9ff2ab2df73c64b3570511141696b028dc251d998db188","observation_id":"064e731d-782f-4898-9e46-c12e5476fe18","resolution":{"observed_at":"2026-08-12T06:02:05.764300Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.125320Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.125320Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:30fcf50be858e4f356078ee0fcaf0e172362d5c903bf7aca6cf4bda0b0586795","observation_id":"3e129d12-7a1b-46b2-b666-846de5d1420d","resolution":{"observed_at":"2026-08-12T06:02:05.125320Z","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":"2026-08-12T06:02:05.737167Z","title":"15.3 a 351tops/w and 372.4 gops compute-in-memory sram macro in 7nm finfet cmos for machine- learning applications,","venue":null,"work_id":"aab50f66-1ee2-409c-94b7-9cec2f098567","year":2020},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.132296Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:84036914b0b4cb0dc3ad924d012cc4ec73fc2bd941e7f8b76a52787c8c4f4c35","observation_id":"4474dfed-7016-495d-a569-64bf427a2fe0","resolution":{"observed_at":"2026-08-12T06:02:05.741065Z","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":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-12T06:02:05.136153Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.136153Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:1e19fbebd10d0a442d5725ea8f4a14a2a5e2c503282320805490e30b63535377","observation_id":"6dbac31e-6db4-4e43-9bd8-dc919b596faa","resolution":{"observed_at":"2026-08-12T06:02:05.136153Z","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":"2026-08-12T06:02:05.140169Z","title":"Analog compute-in-memory for ai edge inference,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.140169Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:6ec0d58db322adcf57aa4b1cc4fdf2560666b84b6bf2b635266501190b16080f","observation_id":"c467a60a-33b8-43ce-be33-063b4bcfd267","resolution":{"observed_at":"2026-08-12T06:02:05.140169Z","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":"2026-08-12T06:02:05.719898Z","title":"Funda- mental limits on energy-delay-accuracy of in-memory architectures in inference applications,","venue":null,"work_id":"64aba9ef-b8be-4c26-86db-8593c02ef4c0","year":2021},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.143517Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:840c6a7abbcc63cf736e27e454395bac3738cb477e62af6d4383ce10e80380a2","observation_id":"a3005d11-d204-452f-b3bc-9a7076db3df0","resolution":{"observed_at":"2026-08-12T06:02:05.723602Z","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":"2026-08-12T06:02:05.708744Z","title":"Cambricon-cim: Enabling energy-efficient and error-resilient analog cim acceleration via reformation of coding bases,","venue":null,"work_id":"8780ef36-dc11-49df-9483-4685f1d39196","year":2026},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.146893Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:955f4ba489297bd7697e3c336463a36b58bbcb94d9c9b0c15fe0f73e9fc2a27c","observation_id":"9f5c9257-2c1f-4933-ac92-5d3422b6b145","resolution":{"observed_at":"2026-08-12T06:02:05.712693Z","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":"2026-08-12T06:02:05.697716Z","title":"Cambricon- m: a fibonacci-coded charge-domain sram-based cim accelerator for dnn inference,","venue":null,"work_id":"f83c5f29-df1a-4c00-a4e6-5a7d5485dbe7","year":2024},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.150432Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:b2b47ec6f925d3f7d01d00ec863c2767984b0c4634b300a6ffe26f78a4831acc","observation_id":"86b5263f-b348-40f7-93bd-015b6136dbd8","resolution":{"observed_at":"2026-08-12T06:02:05.701464Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.153923Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.153923Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:f017769823248ceb3ca583b33e8a1e0cb0325643cb7d8675174f860eb2f6cd98","observation_id":"b239b997-d99a-4b73-b706-1ca093abea3b","resolution":{"observed_at":"2026-08-12T06:02:05.153923Z","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":"2026-08-12T06:02:05.681494Z","title":"Searching for mobilenetv3,","venue":null,"work_id":"e556e9c9-4c2e-4c82-b397-705dcff5a218","year":2019},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.157214Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:c90846612505a854a25f722608f268342537574829671369b0ffbc34f5201e34","observation_id":"dd48ae2f-f108-4261-bd9a-42a5129ee0c8","resolution":{"observed_at":"2026-08-12T06:02:05.684697Z","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":"2026-08-12T06:02:05.672761Z","title":"Densely connected convolutional networks,","venue":null,"work_id":"7cb9953c-c4a3-4cff-8551-5006fcf9b6e5","year":2017},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.160511Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:ea975b0c79af5392effcc0e0461ffd67847f064a8d7ce566d1f71995ec88e3cc","observation_id":"ac088fe2-c3cf-4e96-8e6c-83298611b934","resolution":{"observed_at":"2026-08-12T06:02:05.675676Z","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":"2026-08-12T06:02:05.663470Z","title":"15.1 a programmable neural-network inference accelerator based on scalable in-memory computing,","venue":null,"work_id":"e821dd62-379d-4e97-887f-9bd443d055c3","year":2021},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.163876Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:1329381ec54cbad4cc47331d7934e81cc8798928e7bc47d54b95d76d733e04a6","observation_id":"2e3311e6-0922-439e-87a2-a3aeff782db2","resolution":{"observed_at":"2026-08-12T06:02:05.666640Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.167193Z","title":"A survey on hardware accelerators for large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.167193Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:6e1622bb5c316ca4e5ccd9fcd491ee762f4067906a2c0cb7df8a374a8949d1cf","observation_id":"7d2b2707-0dce-4a02-83b5-78853c492e45","resolution":{"observed_at":"2026-08-12T06:02:05.167193Z","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":"2026-08-12T06:02:05.646484Z","title":"Deep in-memory architectures in sram: An analog approach to approximate computing,","venue":null,"work_id":"83769b20-d5ef-4815-a9ae-cd81bb9f100e","year":2020},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.170292Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:1bef86d73490f6c4947139263af9ba9c840e35b3036d303a3c2b52173cf1e217","observation_id":"8d124561-b755-4e2b-b152-62c19c2507f6","resolution":{"observed_at":"2026-08-12T06:02:05.650340Z","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":"2026-08-12T06:02:05.635407Z","title":"A 65nm 4kb algorithm-dependent computing-in-memory sram unit-macro with 2.3 ns and 55.8 tops/w fully parallel product-sum operation for binary dnn edge processors,","venue":null,"work_id":"594e445d-6f20-402c-af38-0c55075d8276","year":2018},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.173515Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:0600f2b0011b7a8905c86a97cb485e7d4c5435eab2280cde221d75a38781bdd9","observation_id":"df6ad53d-35f5-4faa-a38a-316f92ded568","resolution":{"observed_at":"2026-08-12T06:02:05.639297Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.176950Z","title":"Imagenet classification with deep convolutional neural networks,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.176950Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:69be7d1746a33abecd71f1a8d3e88e0274495d850767a74ce2549a56dc223396","observation_id":"a0ddfbcd-da5d-43f0-b352-85b513d1dc52","resolution":{"observed_at":"2026-08-12T06:02:05.176950Z","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":"2026-08-12T06:02:05.617879Z","title":"A 28-nm 50.1-tops/w p-8t sram compute- in-memory macro design with bl charge-sharing-based in-sram dac/adc operations,","venue":null,"work_id":"91b60cfb-b63a-48fb-a326-e0f65f9fbc20","year":1926},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.180273Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:43dabdab3c8e6d3cb482dbf423206f4e9b56dfb947aac9cd35563d9a9d06d583","observation_id":"7e144d19-b8d5-4b49-96e7-0e0d5384a5c4","resolution":{"observed_at":"2026-08-12T06:02:05.621726Z","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":"2026-08-12T06:02:05.606604Z","title":"Timely: Pushing data movements and interfaces in pim accelerators towards local and in time domain,","venue":null,"work_id":"395f1d27-ed93-400b-9d8f-aad354833910","year":2020},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.183678Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:39dda4ae6b545c08bee99bbe987e36b8dedb56f6085a880543d3ba27c70c5134","observation_id":"e695d1bd-5e2f-4add-a8ea-21f666cb8dae","resolution":{"observed_at":"2026-08-12T06:02:05.610694Z","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":"2026-08-12T06:02:05.596178Z","title":"A 10-bit 50-ms/s sar adc with a monotonic capacitor switching procedure,","venue":null,"work_id":"02b8b407-d16b-4b96-adca-26fabde8848e","year":2010},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.186998Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:56c0673d37e58f8567fa60d49260b958e5aea155948237f96cb87d38f86264b3","observation_id":"b3092200-8318-414c-8eb5-6ce35368858d","resolution":{"observed_at":"2026-08-12T06:02:05.599755Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.190389Z","title":"A modern primer on processing in memory,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.190389Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:57b5998c9315cc3a6ab47e4129e959d296c59e9188d51fe136ed36cdb673f1df","observation_id":"777c1d37-0245-4cba-9a94-dda0b5eeabed","resolution":{"observed_at":"2026-08-12T06:02:05.190389Z","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":"2026-08-12T06:02:05.193852Z","title":"Timeloop: A systematic approach to dnn accelerator evaluation,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.193852Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:19a2a12f5f3010cbf842277c3a09b18b81b5be9c265c8f12a6f180f14f1670b4","observation_id":"ede7f6e3-2563-40a6-9b77-b2fd75ed9055","resolution":{"observed_at":"2026-08-12T06:02:05.193852Z","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":"2026-08-12T06:02:05.573957Z","title":"Ciminus: Empowering sparse dnn workloads modeling and exploration on sram-based cim architectures,","venue":null,"work_id":"a20c13eb-e4bb-46e9-bfbe-c531f06e6054","year":2025},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.197184Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:f229f132fbf98990492d13f40033545c7e5e065f848829f936f6f0391d6b3c90","observation_id":"f53af35a-2b9e-4cd0-93fe-3c5f7c23ac6a","resolution":{"observed_at":"2026-08-12T06:02:05.577456Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.200571Z","title":"Language models are unsupervised multitask learners,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.200571Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:03df01ff2d683101a5c552c7d2fb924bb902bb06c9c824bbd00a6b51c023a00d","observation_id":"f75a4c95-1086-4ca8-9730-9ed6b3069fd9","resolution":{"observed_at":"2026-08-12T06:02:05.200571Z","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":"2026-08-12T06:02:05.557582Z","title":"Compute trends across three eras of machine learning,","venue":null,"work_id":"2ae8c2a8-e6ea-46de-bac6-9872b454afa2","year":2022},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.203911Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:02131988f4444400880d971c06a59db165074f8de3868e622e331deea92dd122","observation_id":"a17eabb0-f23e-44e2-805b-ca32a1e6a637","resolution":{"observed_at":"2026-08-12T06:02:05.561263Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.207350Z","title":"Isaac: A convolutional neural network accelerator with in-situ analog arithmetic in crossbars,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.207350Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:ecb0f85e5e52d3104782a2f039880c94dbbaca40881d8752a62dc032634bfe04","observation_id":"fc220e8f-fa6b-48d6-95da-46edbd4203d3","resolution":{"observed_at":"2026-08-12T06:02:05.207350Z","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":"2026-08-12T06:02:05.540590Z","title":"A local computing cell and 6t sram-based computing-in- memory macro with 8-b mac operation for edge ai chips,","venue":null,"work_id":"67757922-7b4c-4ec3-89b6-942210a27ce9","year":2021},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.210557Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:6508e6b19c0267d0ca08f6c89f0efbb92be5f40d8d47328701b1a7fa92f0b48d","observation_id":"a42a3290-e15c-4c5b-9c08-cc63ca26597d","resolution":{"observed_at":"2026-08-12T06:02:05.545045Z","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":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-17T19:17:06.411141Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-12T06:02:05.213777Z","title":"Very deep convolutional networks for large-scale image recognition,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.213777Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:f63621f380c3854c1beb0546146cc108373f52f9358d8067ef8381e548f1e041","observation_id":"929feb85-e416-4bd3-abb7-0286a8f0dd5a","resolution":{"observed_at":"2026-08-12T06:02:05.213777Z","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":"2026-08-12T06:02:05.217030Z","title":"Pipelayer: A pipelined reram- based accelerator for deep learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.217030Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:0837934d657485fd7df3f6b2345c5c68c619a7c1f107be267a27a3f6024b5731","observation_id":"b9f3a13c-f021-4ff0-911c-5ec65431234e","resolution":{"observed_at":"2026-08-12T06:02:05.217030Z","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":"2026-08-12T06:02:05.524318Z","title":"Analog or digital in-memory computing? benchmarking through quantitative modeling,","venue":null,"work_id":"3d3c7d63-dc88-4c99-8385-a1f15af0a80c","year":2023},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.219874Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:d4a30e3f5d2fb88c2199afbe1f19d2f54fcfdfbd7231f1a3522135e0d8793d2b","observation_id":"dacf8877-7509-428d-a2bc-a9a1ebfe696e","resolution":{"observed_at":"2026-08-12T06:02:05.527568Z","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":"2026-08-12T06:02:05.512687Z","title":"Model quantization for computing-in-memory: a survey,","venue":null,"work_id":"5a2ee5b3-cf7e-44fc-8b37-d4e73195251f","year":2025},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.222703Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:528ea6374f7acabbf7c6590c63e64dd654f9aabec90719eb65553f14e13b4367","observation_id":"a9abaf68-2e6b-40b2-85e0-7699f99a1f6e","resolution":{"observed_at":"2026-08-12T06:02:05.516748Z","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":"2026-08-12T06:02:05.501389Z","title":"A survey of computing-in-memory processor: From circuit to application,","venue":null,"work_id":"3eb58608-76e2-488b-be14-4adf718c47a9","year":2023},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.225973Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:c654c3d38c57b8e02800795f0796cafcd8da83a158a43c3b4fcd3728dfda2282","observation_id":"21887440-cccc-4619-8b50-cd34fd7bd479","resolution":{"observed_at":"2026-08-12T06:02:05.505147Z","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":"2026-08-12T06:02:05.490933Z","title":"Mobilebert: a compact task-agnostic bert for resource-limited devices,","venue":null,"work_id":"1ed53ac7-e5a9-491c-9383-1d173e010dfa","year":null},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.229692Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:494ba037f49f1fe9fac5a9444b6b2f0b4a2c8fe039539d1a27f54ecc5709fdf5","observation_id":"7511bfcf-f586-4575-9729-9afd6f772ea9","resolution":{"observed_at":"2026-08-12T06:02:05.494501Z","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":"2026-08-12T06:02:05.469884Z","title":"A full spectrum of computing-in-memory technologies,","venue":null,"work_id":"2158e476-b4c7-498b-a5fd-345f935512d9","year":2023},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.236894Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:2700ca05e4c550f3ef8977c0cddf59d727cc1db6803bebcf9cbe6692ec1d3b17","observation_id":"c9117195-040f-4072-ae8a-7ef3a0a77ab6","resolution":{"observed_at":"2026-08-12T06:02:05.473689Z","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":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-12T06:02:05.240148Z","title":"Llama 2: Open foundation and fine-tuned chat models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.240148Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:08f68c8ef5f59c9dd24abfb4aa49e590550faa28a80b914779c0de4d6bd066fd","observation_id":"c6e0c3d4-dd95-4abd-baed-906f9d0e140f","resolution":{"observed_at":"2026-08-12T06:02:05.240148Z","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":"2026-08-12T06:02:05.459454Z","title":"A 64-tile 2.4- mb in-memory-computing cnn accelerator employing charge-domain compute,","venue":null,"work_id":"d48b94d1-0546-4b00-80c0-51533366e973","year":2019},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.244096Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:3a5b968742a3273a45f557107cd0d8d496704edebd564cdd03cbed0bf3486c38","observation_id":"86231e64-8735-4634-9319-c6cb12044115","resolution":{"observed_at":"2026-08-12T06:02:05.463234Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.247677Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.247677Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:1298779e2f88f5939e66d1dd30a00860762f92b13ffbe73af44f75c58a342ab5","observation_id":"ef14d234-de14-4ec3-8e0a-d612142d5ea0","resolution":{"observed_at":"2026-08-12T06:02:05.247677Z","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":"2026-08-12T06:02:05.443341Z","title":"Dimc: 2219tops/w 2569f2/b digital in-memory computing macro in 28nm based on approximate arithmetic hardware,","venue":null,"work_id":"9a080c8e-074b-42db-803d-5594cd8f7938","year":2022},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.250947Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:b1746847fb44a7141f0c29a5bc45cc0166692c494afa4e99578781927ce594b4","observation_id":"4621edb5-937c-4887-8c0d-6c1325082f5f","resolution":{"observed_at":"2026-08-12T06:02:05.446976Z","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":"2026-08-12T06:02:05.432738Z","title":"A charge domain sram compute-in-memory macro with c-2c ladder- based 8-bit mac unit in 22-nm finfet process for edge inference,","venue":null,"work_id":"21983105-4c62-4669-a832-da6cec6d99b3","year":2023},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.254540Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:bd928afc004109eacb7e17d3a8afcc410e861a0ed04566df04c95a377aae6a55","observation_id":"9eca807b-5606-4bd4-9986-5b614fc1886d","resolution":{"observed_at":"2026-08-12T06:02:05.436474Z","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":{"arxiv_id":"2004.09602","last_updated":"2020-04-20T19:59:22Z","snapshot_observed_at":"2026-08-14T00:25:24.218417Z","submitted_at":"2020-04-20T19:59:22Z","title":"Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.09602","snapshot_observed_at":"2026-08-12T06:02:05.257949Z","title":"Integer quantization for deep learning inference: Principles and empirical evaluation,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.257949Z"},"links":{"cited_paper":"/paper/2004.09602","citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:d3a99821e39269ac3a3c1306da3370dfe009a9b67a302bf58e7ec11583d46bcf","observation_id":"f3234af6-2f82-4735-8411-501e914c6c36","resolution":{"observed_at":"2026-08-12T06:02:05.257949Z","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":"2026-08-12T06:02:05.262022Z","title":"Accelergy: An architecture- level energy estimation methodology for accelerator designs,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.262022Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:0e612c90e8dc9db76355099f56df49cf5ac3ab1b20e9b9fc84d7ccb42ae56bc3","observation_id":"ec3c38d3-99d1-40a1-a0e5-5259f116fa8c","resolution":{"observed_at":"2026-08-12T06:02:05.262022Z","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":"2026-08-12T06:02:05.265583Z","title":"Smoothquant: Accurate and efficient post-training quantization for large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.265583Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:1b11785830ba5c22eb13898e6601083a3be4dfc86521bff4fd334b80b5dab826","observation_id":"61efc2e1-a1cc-46a5-91c2-09d9ce798361","resolution":{"observed_at":"2026-08-12T06:02:05.265583Z","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":"2026-08-12T06:02:05.268967Z","title":"On the accuracy of analog neural network inference accelerators,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.268967Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:4026aaac92525dd075922f72844b28dec3166023e5043b5f9544ac33858cb855","observation_id":"d4721c52-c49e-4925-82f9-5eca4463e794","resolution":{"observed_at":"2026-08-12T06:02:05.268967Z","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":"2026-08-12T06:02:05.403220Z","title":"16.2 edram-cim: Compute-in-memory design with reconfigurable embedded-dynamic-memory array realizing adaptive data converters and charge-domain computing,","venue":null,"work_id":"942f9c77-5ff2-4716-9e80-472cc29c33e6","year":2021},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.272058Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:20ce089cc6afd072ac6ac98cc4d05381b4069007479107332d3884f79a9ec011","observation_id":"c5e4766c-4958-480a-86db-378c3ae1377c","resolution":{"observed_at":"2026-08-12T06:02:05.407089Z","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":"2026-08-12T06:02:05.392264Z","title":"A brain-inspired adc-free sram-based in-memory computing macro with high-precision mac for ai application,","venue":null,"work_id":"ce7433a0-1035-4a6e-9801-611107a2f27d","year":2023},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.275333Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:8d83ca1b6bfe62a7b0a4ddaad1491750fa4a62f742056d530fa9ce92164a7de5","observation_id":"eb82632a-ea2f-4b9b-b953-e6fb28624a68","resolution":{"observed_at":"2026-08-12T06:02:05.396182Z","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":"2026-08-12T06:02:05.382756Z","title":"Yoco: A hybrid in-memory computing architecture with 8-bit sub-petaops/w in- situ multiply arithmetic for large-scale ai,","venue":null,"work_id":"a540a52e-d541-4270-a0d0-39f5ff203a26","year":2025},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.278643Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:0951c4a34a2df3a434537c7096b4f36aaf48934270bc26155b12ba4f27554faa","observation_id":"a6c42799-e9cf-48a2-966e-813d8b4710ba","resolution":{"observed_at":"2026-08-12T06:02:05.386133Z","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":"2026-08-12T06:02:05.373617Z","title":"A 818–4094 tops/w capacitor-reconfigured analog cim for unified acceleration of cnns and transformers,","venue":null,"work_id":"7c3028dd-1d23-44eb-b03f-5a94eeae10f3","year":2024},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.281819Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:d8601dbdb3532674980cf8b290df64cb02fec78013c2773c2aeb101a2ee6af0b","observation_id":"9cfd379a-2294-4226-9795-a2b05dc997ac","resolution":{"observed_at":"2026-08-12T06:02:05.376742Z","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":"2026-08-12T06:02:05.361073Z","title":"Light-cim: A lightweight adc/dac-fewer rram cim dnn accelerator with fully analog tiles and nonideality-aware algorithm for consumer electronics,","venue":null,"work_id":"e0c02df8-0ff1-4622-86b2-aac5a8ce8c14","year":2024},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.285172Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:5af6a9fcc761edddef016a1f6193903bc58fda0d894652dd4be9c11df7254b7c","observation_id":"5575cb1b-310c-4d89-871a-127f77dd1d8f","resolution":{"observed_at":"2026-08-12T06:02:05.366416Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T06:02:05.288835Z","title":"Towards unified int8 training for convolutional neural network,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.288835Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:3e8c456fc605e151cb7fb0bb2710f86b218ea76411edb4899394a83ecb97be12","observation_id":"e01e9f32-cc8c-463e-ae5e-5ad228edc555","resolution":{"observed_at":"2026-08-12T06:02:05.288835Z","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":"2026-08-12T06:02:05.128921Z","title":"Available: https://api.semanticscholar.org/CorpusID: 52967399","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.128921Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:4149253497ff45a88b4c2e79fffdbcdc73a60d12aa87279d0d221d15f8acb2af","observation_id":"4ab1dc56-68d4-40b5-b01e-62268ec035a1","resolution":{"observed_at":"2026-08-12T06:02:05.128921Z","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":"2026-08-12T06:02:05.480291Z","title":"Available: https://api.semanticscholar.org/CorpusID: 215238853","venue":null,"work_id":"f43d1b3f-51ce-4ba4-a4bc-e6f24dbc0c7a","year":null},"citing_paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:05.233425Z"},"links":{"citing_paper":"/paper/2608.11116"},"observation_digest":"sha256:2488f1cd0ba685c965e209f579b35998d1acab0bd3575359282c1f262fd6fc85","observation_id":"ed4a2b9f-dc03-4a8b-bc0b-6d808ae155ca","resolution":{"observed_at":"2026-08-12T06:02:05.483845Z","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"}}],"paper":{"arxiv_id":"2608.11116","last_updated":"2026-08-11T16:24:12Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-08-16T09:58:22.835196Z","submitted_at":"2026-08-11T16:24:12Z","title":"You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":21,"verified_exact":0,"verified_fuzzy":33},"total_outbound_references":54},"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 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2608.11116."}