{"as_of":"2026-08-07T08:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:37485d392df1ab025e3619915dc70ed91e971052a5c946e933d368db19df4450","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:51:49.067268Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2506.12610/citation-record","integrity":"/paper/2506.12610/integrity","json":"/paper/2506.12610/citation-record.json","paper":"/paper/2506.12610"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.13642","last_updated":"2025-03-19T05:09:14Z","snapshot_observed_at":"2026-08-05T18:02:56.273979Z","submitted_at":"2024-06-19T15:41:30Z","title":"SpatialBot: Precise Spatial Understanding with Vision Language Models","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13642","snapshot_observed_at":"2026-08-07T00:51:48.968184Z","title":"Spatialbot: Precise spatial understanding with vision language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:48.968184Z"},"links":{"cited_paper":"/paper/2406.13642","citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:c3e1f753b2041e155377ec9e541e72d377b87dabff624a32324291494b8f49b5","observation_id":"64ec50b4-7244-4a6f-b574-b2061b2a6d40","resolution":{"observed_at":"2026-08-07T00:51:48.968184Z","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":"2026-08-07T00:51:49.448484Z","title":"Machine learning in finance, volume 1170","venue":null,"work_id":"304c2471-edb1-455a-bd54-37e73a26fb16","year":2020},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:48.973240Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:95b55f66fa934b183159270759b596380cc37e96311920ca813acbb2fdcbe85a","observation_id":"ef7ef80a-3e60-4dab-ad71-b0724ad3c96d","resolution":{"observed_at":"2026-08-07T00:51:49.453511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.434413Z","title":"Machine learning in healthcare","venue":null,"work_id":"c6e86f94-2e30-47bf-9cdd-d4550060db87","year":2021},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:48.977298Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:9eff300c852a517c712b4261c45042251a786fb5f541655ce432e6929bb51ffe","observation_id":"a9a88124-2320-4133-ae05-77254e315cf1","resolution":{"observed_at":"2026-08-07T00:51:49.439342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.420259Z","title":"Power hungry processing: Watts driving the cost of ai deployment? In The 2024 ACM Conference on Fair- ness, Accountability, and Transparency, pages 85–99,","venue":null,"work_id":"55b60f24-a7fb-414a-88de-dab1d3c450ad","year":2024},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:48.981012Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:34375fe33c504a13a813b0ef91419b81fa4796de2f8784d846ad8c5128c9535c","observation_id":"1223ae96-b55c-4e7f-b019-0c5a7a8d9c96","resolution":{"observed_at":"2026-08-07T00:51:49.425426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.405415Z","title":"Evaluating the carbon foot- print of nlp methods: a survey and analysis of existing tools","venue":null,"work_id":"a2c64dd9-b9e5-4859-aca9-1993476ce9e1","year":2021},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:48.985047Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:d9ff38ceb6b4a2142993b8e452bd5acbc0502de8808d09774c59609d9e91bc62","observation_id":"3f11103e-d481-4ab5-8704-28cbbc75f722","resolution":{"observed_at":"2026-08-07T00:51:49.410830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.392467Z","title":"Reducing the carbon impact of generative ai infer- ence (today and in 2035)","venue":null,"work_id":"46572a5b-1be0-48c0-91fd-e0a7a518d0ce","year":2023},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:48.988889Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:d0965293d45d4a85ffd973719303a638fc26b851ad2f7ea38c685848ef680099","observation_id":"e5d36506-05de-4d35-bc1c-a430869f690b","resolution":{"observed_at":"2026-08-07T00:51:49.396725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.05472","last_updated":"2023-03-29T11:34:30Z","snapshot_observed_at":"2026-07-06T11:46:43.815468Z","submitted_at":"2021-09-12T09:40:18Z","title":"Compute and Energy Consumption Trends in Deep Learning Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.05472","snapshot_observed_at":"2026-08-07T00:51:48.992724Z","title":"Compute and energy con- sumption trends in deep learning inference","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:48.992724Z"},"links":{"cited_paper":"/paper/2109.05472","citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:50e0bcae5577bf97248d099b3b1dd73f0b701a702e4083d9d6a21fc2452c6722","observation_id":"d451bf7b-1548-498a-b8d2-0ff3e2e5dd27","resolution":{"observed_at":"2026-08-07T00:51:48.992724Z","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":"2026-08-07T00:51:49.378262Z","title":"Smith and Thomas H","venue":null,"work_id":"ef2580a7-c850-4087-8780-24464dcf3d60","year":2023},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:48.997773Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:6358e76629e1974d0780f52663f612a0583298f632c89924f174aeca9e156d30","observation_id":"5525a60b-2769-4fde-944d-7b311e47c08a","resolution":{"observed_at":"2026-08-07T00:51:49.383104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.365515Z","title":"Osc- net: Machine learning on cmos oscillator networks","venue":null,"work_id":"b2153ba3-d3b1-4522-8998-f3a7e9b69b6a","year":2025},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.001921Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:125d3bdbde83f95f19a6c5f75dc68f814ff080ba6886483eecb76390416ec5bc","observation_id":"d48a4301-1599-44bc-b7ac-3048b2665276","resolution":{"observed_at":"2026-08-07T00:51:49.369673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.351935Z","title":"Hyperbolic hopfield neural networks for image classification in content-based image re- trieval","venue":null,"work_id":"85fbc5d5-92b6-49ed-ae8f-108691c951b4","year":null},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.005482Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:ebbdde6ee9d93a421cffabc5e0b60f4e66cfed150b3d7d3e6f0e0a6bfc4c51e4","observation_id":"97ea7e3a-7820-41e9-b116-d57cd92ffbe5","resolution":{"observed_at":"2026-08-07T00:51:49.356783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.338543Z","title":"Training energy-based single-layer hopfield and oscillatory net- works with unsupervised and supervised algorithms for image classification","venue":null,"work_id":"557e8c00-ed7c-4522-8197-d0e4fe8073d6","year":2023},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.009290Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:b7aa1dd42858b2eb65eab3e0b1ffc9f620be20327c245349ba3b4dfc4a3872ee","observation_id":"9b1f9ec8-ba9e-46b6-bd68-7da38b501331","resolution":{"observed_at":"2026-08-07T00:51:49.343062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.324835Z","title":"Hebb and darwin","venue":null,"work_id":"e8d646a7-6271-44c9-8297-f21530f0799e","year":1998},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.012879Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:c74158ec29e2656cbb23da46486572e1b45fd67ccf070394460dab47a31ff865","observation_id":"837623fd-3098-4599-9be6-9bcccfc9862a","resolution":{"observed_at":"2026-08-07T00:51:49.329118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.310584Z","title":"Adaptive pattern classification and universal recoding: I","venue":null,"work_id":"546f6937-90ca-4f2a-9471-ee91f8a91ea3","year":1976},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.016928Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:bab7da4856efd399558984d6fca81dec6863a34b4a3c72a52b01a8d66d1ac5db","observation_id":"30957e56-e9e7-42cf-bc5e-e45deaaa47fa","resolution":{"observed_at":"2026-08-07T00:51:49.316041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.297345Z","title":"Gradient-based learning applied to document recognition","venue":null,"work_id":"012af0c5-df82-4950-b838-79cf22e0faee","year":1998},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.020855Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:0d652c83e7852bc3bc101609a404d28f1201b2bf2aa4dc9eea8fa778546a5933","observation_id":"63157f62-a29a-4ded-a937-7545245420f4","resolution":{"observed_at":"2026-08-07T00:51:49.301548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.02217","last_updated":"2021-04-28T07:24:49Z","snapshot_observed_at":"2026-08-05T15:08:02.538782Z","submitted_at":"2020-07-16T17:52:37Z","title":"Hopfield Networks is All You Need","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.02217","snapshot_observed_at":"2026-08-07T00:51:49.024432Z","title":"Hopfield networks is all you need","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.024432Z"},"links":{"cited_paper":"/paper/2008.02217","citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:4335d583b6d1f9dd68ad4b250c3b9990c3f519ef632d78965406e81260c132dc","observation_id":"6a2d72bb-2467-4767-8322-5d35782db0f4","resolution":{"observed_at":"2026-08-07T00:51:49.024432Z","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":"2026-08-07T00:51:49.283894Z","title":"The application of competitive hopfield neural net- work to medical image segmentation","venue":null,"work_id":"962e1c99-d42b-4234-af42-d0fa24ccfd0d","year":1996},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.028724Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:3359633b150c375c079486106980be69e2a4f0b9cfc1f2d6a355f1493fd2b9fe","observation_id":"e5af0c70-0799-4e89-b34d-c6c1cab8ef4c","resolution":{"observed_at":"2026-08-07T00:51:49.288688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.270756Z","title":"Izhikevich and Frank C","venue":null,"work_id":"151cb7c5-3594-4273-b456-dde01acab7fa","year":2009},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.032461Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:92fc97aa84bd6b9cf9d18d8dc13905881355aec5d89a8701ffa0c9d023bd6078","observation_id":"d7a16c11-8e62-4364-85d1-25310f113d4d","resolution":{"observed_at":"2026-08-07T00:51:49.274666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.257345Z","title":"A general theory of injection locking and pulling in electrical oscilla- tors—part i: Time-synchronous modeling and injec- tion waveform design","venue":null,"work_id":"188aff7b-edd3-4674-9ea2-1f82e93c6c2b","year":2019},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.035985Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:9ff281d492ddf874b5c8164affcaa429f1f269743faf9e41e79a1288ed19241c","observation_id":"7f910b9f-84a0-4460-aa85-5126c53c1013","resolution":{"observed_at":"2026-08-07T00:51:49.262070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.242665Z","title":"Local and grobal self- entrainments in oscillator lattices","venue":null,"work_id":"773defc0-6956-4e86-a414-4883f8cd8e4f","year":1987},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.040124Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:5671e189efa699d4acb1fbdc30c1de3351b1f5aaa4e2ad3958e34d3d2d1232bc","observation_id":"177f5aec-6dda-41b4-8d95-5a0d7e248d01","resolution":{"observed_at":"2026-08-07T00:51:49.247418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.227518Z","title":null,"venue":null,"work_id":"4c4061cd-47c8-4f67-9c39-8b17797b8231","year":1982},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.043902Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:c3b4a81e47aeae3aa72abfdacfd55cee52fdba4af3478ecce4c2adb66f20979c","observation_id":"dc2f24d8-49a9-4261-9f61-747e3eb05f0a","resolution":{"observed_at":"2026-08-07T00:51:49.232415Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03557","last_updated":"2024-11-05T23:38:42Z","snapshot_observed_at":"2026-07-06T19:45:53.289704Z","submitted_at":"2024-11-05T23:38:42Z","title":"Shem: A Hardware-Aware Optimization Framework for Analog Computing Systems","version":1},"cited_work":{"arxiv_id":"2411.03557","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.03557","snapshot_observed_at":"2026-08-07T00:51:49.101087Z","title":"Shem: A Hardware-Aware Optimization Framework for Analog Computing Systems","venue":"cs.ET","work_id":"ddcc9c93-0c8b-452a-a049-8bd5b1db5678","year":2024},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.047662Z"},"links":{"cited_paper":"/paper/2411.03557","citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:dcd894118a124ff24989406d7203eaa752c56b0eedf4ffa0a9ac45f7d33109f1","observation_id":"6982b940-176b-45bf-8a54-3b0f2531b173","resolution":{"observed_at":"2026-08-07T00:51:49.107731Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.213553Z","title":"Ising machines as hardware solvers of com- binatorial optimization problems","venue":null,"work_id":"ca365651-edf2-4158-806c-4d9684a002ee","year":2022},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.051642Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:4d8cf6e55a81042ec6bd239f95e6cdbba0bd8742e9f6674bc827c388adf8b380","observation_id":"c1d9b9a1-a051-4b1f-aad8-128633363e6b","resolution":{"observed_at":"2026-08-07T00:51:49.217745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.200074Z","title":"Classification of hand- written digits using the hopfield network","venue":null,"work_id":"8fa5e660-8235-49f1-bb3e-426385517e95","year":2020},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.055536Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:3fe6b631b2a886f191d5e6432d9f7af6a3c809e4110e4353ed916f73a2facfd2","observation_id":"45ca2770-880f-476f-8b3b-600a6a9ef0f2","resolution":{"observed_at":"2026-08-07T00:51:49.204299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.187222Z","title":"A 1,968-node coupled ring oscillator circuit for combi- natorial optimization problem solving","venue":null,"work_id":"9524fa9c-35f4-4586-8b7f-d33363b0e7d1","year":2022},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.059338Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:402dee547dd5717bd3c8e741fa665a2bac5565fe83efe641035ec7b57339829a","observation_id":"015cf231-cc59-4b37-8cf0-a338eb80c86b","resolution":{"observed_at":"2026-08-07T00:51:49.191238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.174273Z","title":"An ising solver chip based on coupled ring oscillators with a 48-node all-to- all connected array architecture","venue":null,"work_id":"d2563eb5-bdf2-489a-b14e-a7faa8be280d","year":2023},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.063360Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:31dbf50831e38367db61a3a5527415402e688044d2e34b98c051299d27214188","observation_id":"2ba7947e-e8f5-46a8-8568-206514f4ab8d","resolution":{"observed_at":"2026-08-07T00:51:49.178320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:51:49.160563Z","title":"Hardware acceleration of sparse and irregular tensor computations of ml models: A survey and insights","venue":null,"work_id":"5fc2ad28-4133-43b1-8223-e50cb71a6b7f","year":2021},"citing_paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T00:51:49.067268Z"},"links":{"citing_paper":"/paper/2506.12610"},"observation_digest":"sha256:e595b995a2a4ae498fb6a0c334fe6f7ee071342167e111ad76951cb2dd5c9472","observation_id":"3419778b-b282-4f31-99e6-ce7f8af73c62","resolution":{"observed_at":"2026-08-07T00:51:49.164741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.12610","last_updated":"2025-07-17T00:39:38Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T00:42:55.264522Z","submitted_at":"2025-06-14T19:10:23Z","title":"OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":1,"verified_fuzzy":21},"total_outbound_references":26},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.12610."}