{"as_of":"2026-08-19T03:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cdb725a27ea5be3cbbe13322e427b8f973fd68bd9efb80be12ce4dcce5b60468","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:49:34.972180Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"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/2506.09599/citation-record","integrity":"/paper/2506.09599/integrity","json":"/paper/2506.09599/citation-record.json","paper":"/paper/2506.09599"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.04640","last_updated":"2025-01-14T20:38:46Z","snapshot_observed_at":"2026-08-16T15:41:33.875916Z","submitted_at":"2023-04-10T15:12:09Z","title":"NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04640","snapshot_observed_at":"2026-08-07T04:49:33.668843Z","title":"Neurobench: A framework for benchmarking neuromorphic computing algorithms and systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:33.668843Z"},"links":{"cited_paper":"/paper/2304.04640","citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:14d9d3d26150c779553ee1192fd605ec372e50188bd1cac20e8b64519902aded","observation_id":"a1f4b646-aae2-47f4-9855-efc0cadb2583","resolution":{"observed_at":"2026-08-07T04:49:33.668843Z","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":"2026-08-07T04:49:35.650116Z","title":"An analytical estimation of spiking neural networks energy efficiency,","venue":null,"work_id":"6baacaa5-9281-4cca-b716-0c6d8a3aa6b6","year":2023},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:33.774636Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:fb287550635963c573ab19cb043d975201ec094a4f371cce3ae1ac0e2f2d25cf","observation_id":"fffaf499-c04e-45c3-9a4c-a44ade8bee1d","resolution":{"observed_at":"2026-08-07T04:49:35.653221Z","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":"2026-08-07T04:49:35.640819Z","title":"Benchmarking of hardware-efficient real-time neural decoding in brain–computer interfaces,","venue":null,"work_id":"b5ae9798-20bc-4461-aade-0978484956ab","year":2024},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:33.916241Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:7b6e9b683ae560cadd9bf0c32d5a9e0180454a4d24afec440cc2b005643507d8","observation_id":"34697f06-228c-4f09-a453-e05fbcb7a108","resolution":{"observed_at":"2026-08-07T04:49:35.644696Z","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":"2026-08-07T04:49:35.632191Z","title":null,"venue":null,"work_id":"84e1f7ec-a837-4757-b813-ebbfcf59f085","year":2025},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:33.996232Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:9aa2d822210c935896b479037fe5eaf5480161d4901fc62af960039387bd91a6","observation_id":"37d1f1d9-b9fd-44be-b675-152efda42645","resolution":{"observed_at":"2026-08-07T04:49:35.635320Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:35.622943Z","title":"Networks of spiking neurons: The third generation of neural network models,","venue":null,"work_id":"35558af4-5170-47c9-8a4a-02383fc07906","year":1997},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.095949Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:8dd81fbbfc1bbac42054f2f629c0a024dc75e1363c3826d06c3db28eaee03ab4","observation_id":"5dbe9b41-1c8f-4fa5-a628-6a7e24f2370f","resolution":{"observed_at":"2026-08-07T04:49:35.626242Z","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":"2026-08-07T04:49:35.614533Z","title":"Lapicque’s 1907 paper: from frogs to integrate-and-fire,","venue":null,"work_id":"a6e13c66-effb-4370-b3b9-921ddaf41e51","year":1907},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.183616Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:ab87787373469088a04671df34826855c042b8fcc55098da89efafaf808f3a86","observation_id":"1c1a4b30-b2b3-4884-b00a-f216536a5ca0","resolution":{"observed_at":"2026-08-07T04:49:35.617554Z","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":"2026-08-07T04:49:34.297946Z","title":"Opportunities for neuromorphic computing algorithms and applications,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.297946Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:52ed602093fef58d3d49f736415f14219ced266b20502ffd31e547c1c2720d87","observation_id":"a6047040-a637-4576-be96-3b27b9f8d33f","resolution":{"observed_at":"2026-08-07T04:49:34.297946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01703","last_updated":"2019-12-03T22:06:05Z","snapshot_observed_at":"2026-07-06T08:41:49.632205Z","submitted_at":"2019-12-03T22:06:05Z","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01703","snapshot_observed_at":"2026-08-07T04:49:34.408624Z","title":"Pytorch: An imperative style, high-performance deep learning library,","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.408624Z"},"links":{"cited_paper":"/paper/1912.01703","citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:c12f323a4128301a6fe6e613033ed1691833a8898d4c82bae6307d1cb47078e5","observation_id":"304e8636-56c9-4220-9ccb-a65ffaf8c417","resolution":{"observed_at":"2026-08-07T04:49:34.408624Z","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":"2026-08-07T04:49:35.605249Z","title":"Training spiking neural networks using lessons from deep learning,","venue":null,"work_id":"83dc6d95-d1d1-442b-9ed2-2ab7f386c0d1","year":2023},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.553810Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:1e3b50f342f320baeeb2bbd5f323f85f8724094708c4a54490e0f85aebd9a3ab","observation_id":"dc3faa62-2945-4436-82ec-c2b1e5f62f74","resolution":{"observed_at":"2026-08-07T04:49:35.608259Z","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":"2026-08-07T04:49:34.657249Z","title":"Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.657249Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:6b970fd54f61a31dd16144d855962189ed77ac26e0d7b986adc12145bccec3a3","observation_id":"33b71452-45b1-4584-89e8-30136c87c3e9","resolution":{"observed_at":"2026-08-07T04:49:34.657249Z","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":"2026-08-07T04:49:34.767282Z","title":"Effective and efficient computation with multiple-timescale spiking recurrent neural networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.767282Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:4e7cb0530dd6efc002df7919361dc9bb2680e90a95a0363da7a353f8bda9ce33","observation_id":"77f4db5b-dc58-418e-ac1f-dadd91be3150","resolution":{"observed_at":"2026-08-07T04:49:34.767282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.08392","last_updated":"2022-08-15T15:32:31Z","snapshot_observed_at":"2026-08-16T18:38:50.816468Z","submitted_at":"2021-03-15T13:59:36Z","title":"The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.08392","snapshot_observed_at":"2026-08-07T04:49:34.872410Z","title":"The spinnaker 2 processing element architecture for hybrid digital neuromorphic computing,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.872410Z"},"links":{"cited_paper":"/paper/2103.08392","citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:bbbcbf36abb5bbe410e48fb97dcd95c0a8d337a4b6f57ee0409aa2028249517e","observation_id":"98729574-b7aa-433a-a68b-645857741b1c","resolution":{"observed_at":"2026-08-07T04:49:34.872410Z","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":"2026-08-07T04:49:35.596172Z","title":"Loihi: A neuromorphic manycore processor with on-chip learning,","venue":null,"work_id":"8a2ad1c5-20b8-4fde-87ec-6887b35e0691","year":2018},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.911419Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:c60553542b0ad6d4277cbd3447997a2a1600e306f1495caa3c40f92ab2279bb3","observation_id":"cc7f2f50-e09f-4ee5-b4b3-98a45ebab3d5","resolution":{"observed_at":"2026-08-07T04:49:35.599733Z","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":"2026-08-07T04:49:35.587497Z","title":"Fast and energy-efficient neuromorphic deep learning with first-spike times,","venue":null,"work_id":"14c99d06-bc4e-4201-8dc9-fd4a250db4f8","year":2021},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.914749Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:97f4526b7ff31e4c76054c50b0c05790743296747efe7739af964d53062ad34a","observation_id":"e786b287-8891-49da-baa6-e0c0e8e3cff6","resolution":{"observed_at":"2026-08-07T04:49:35.590709Z","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":"2026-08-07T04:49:34.917453Z","title":"Rapl in action: Experiences in using rapl for power measurements,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.917453Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:839ea182bb78a69f741ecddd9190e51ba72f49a4e37f6c767184752dde8a4b81","observation_id":"80cc7e53-2a86-4ae8-b156-1e9a00f68c41","resolution":{"observed_at":"2026-08-07T04:49:34.917453Z","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":"2026-08-07T04:49:35.578785Z","title":"Mlperf inference benchmark,","venue":null,"work_id":"5e917217-4406-4ff5-95ef-1ba358889c26","year":2020},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.920113Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:4a766a4085cd04755edd686463fabb2af93897b6da09f3cbb8f947da89c37564","observation_id":"2078e14f-7836-43c1-84cd-69b97de1216b","resolution":{"observed_at":"2026-08-07T04:49:35.581596Z","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":"2026-08-07T04:49:35.569919Z","title":"Read-disturb detection methodology for rram-based computation-in-memory architecture,","venue":null,"work_id":"b3607e00-8c57-48f4-9199-ed6b202ae60b","year":2023},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.923030Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:8fa0da4d08caa0431fbd73f3b382e9a44e334414542b489558b4a3bd4a686b25","observation_id":"1f6299f5-af0d-4813-9bdb-120ec8a6bb73","resolution":{"observed_at":"2026-08-07T04:49:35.573187Z","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":"2312.05643","last_updated":"2025-01-26T23:04:50Z","snapshot_observed_at":"2026-08-16T14:36:15.695655Z","submitted_at":"2023-12-09T19:13:15Z","title":"NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification","version":2},"cited_work":{"arxiv_id":"2312.05643","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.05643","snapshot_observed_at":"2026-08-07T04:49:35.407954Z","title":"NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification","venue":"cs.NE","work_id":"2579810d-2a99-48bd-96ee-02d492e93411","year":2023},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.925599Z"},"links":{"cited_paper":"/paper/2312.05643","citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:085d521eb7083cab3d78cfb07f0e69db348394694e611d788dbbe92c2388daae","observation_id":"016d5a46-ee08-4e16-88e2-fe914c720fbc","resolution":{"observed_at":"2026-08-07T04:49:35.411566Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:35.560921Z","title":"Converting static image datasets to spiking neuromorphic datasets using saccades,","venue":null,"work_id":"b02a1de3-9c1b-426c-bf46-75d80061e6b2","year":null},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.928382Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:865e3ce0868b7b412dd5d66457e7e84afd82e42f15523ce312924a6f140ead57","observation_id":"820a85e6-9bd8-4a4a-999e-a76e8d69e155","resolution":{"observed_at":"2026-08-07T04:49:35.564286Z","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":"2022.87393","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:35.325693Z","title":"Benchmarking neuromorphic hardware and its energy expenditure,","venue":null,"work_id":"984024ea-0e0d-47ed-a85d-a4dae56c2f44","year":2022},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.933778Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:cf5d4506291f34e2e9f63102a2d1b44a663d10b1ad62a9a8bb69244fb31f908d","observation_id":"de4e9122-2b4c-447c-a2e2-45fda39ab91f","resolution":{"observed_at":"2026-08-07T04:49:35.330248Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2022.81355","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:35.260220Z","title":"Neuromorphic engineering needs closed-loop benchmarks,","venue":null,"work_id":"4de64a74-69b4-4e37-a3a0-955ed039eb21","year":2022},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.936638Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:986888899e6992755d994b4f1bbb39f881a3915fad9d133a0a18cf0220e99216","observation_id":"e5425569-38ed-4d04-8ea6-ea05d8c5851c","resolution":{"observed_at":"2026-08-07T04:49:35.265391Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2304.06897","last_updated":"2023-04-14T02:14:38Z","snapshot_observed_at":"2026-08-16T15:40:32.364233Z","submitted_at":"2023-04-14T02:14:38Z","title":"A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks","version":1},"cited_work":{"arxiv_id":"2304.06897","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.06897","snapshot_observed_at":"2026-08-07T04:49:35.201393Z","title":"A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks","venue":"cs.NE","work_id":"1a3fd856-734e-42fd-9ec9-8b383decbf04","year":2023},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.939552Z"},"links":{"cited_paper":"/paper/2304.06897","citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:93ac69ea059fa045c136e9d0746144c6d1b9744b46a3199e6b9e3c0ad31aeb4e","observation_id":"fe766582-aae3-47a4-8273-bc9dd04804f5","resolution":{"observed_at":"2026-08-07T04:49:35.204235Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:34.942481Z","title":"Actionable software metrics: An industrial perspective,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.942481Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:c559ef29fa5b09c5068962898b14bd103c5b930a2ebe21367b8cf6394994db12","observation_id":"18e8eed1-dfca-4eef-8eda-a2189412fae9","resolution":{"observed_at":"2026-08-07T04:49:34.942481Z","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":"2026-08-07T04:49:34.945264Z","title":"Zero-shot temporal resolution domain adaptation for spik- ing neural networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.945264Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:af35841e5836d447c4a9fafe09152849560a34f889a003aa478b4d38c0085f0e","observation_id":"5f8bb368-bf93-4938-9c49-831760914342","resolution":{"observed_at":"2026-08-07T04:49:34.945264Z","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":"2026-08-07T04:49:35.551488Z","title":"Benchmarking the performance of neuromorphic and spiking neural network simulators,","venue":null,"work_id":"5c07b73e-e0ad-41d4-bc35-32dcc7b67e04","year":2021},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.947721Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:93e5da3509b15bb88d0479f65796b698b5626f802d0b902bdfee66acde8bab0c","observation_id":"1a248f95-b5bd-4b09-b4aa-b1660fe6c6fd","resolution":{"observed_at":"2026-08-07T04:49:35.555370Z","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":"2410.23776","last_updated":"2024-10-31T09:48:12Z","snapshot_observed_at":"2026-08-16T13:04:13.328782Z","submitted_at":"2024-10-31T09:48:12Z","title":"Neurobench: DCASE 2020 Acoustic Scene Classification benchmark on XyloAudio 2","version":1},"cited_work":{"arxiv_id":"2410.23776","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.23776","snapshot_observed_at":"2026-08-07T04:49:35.033417Z","title":"Neurobench: DCASE 2020 Acoustic Scene Classification benchmark on XyloAudio 2","venue":"cs.SD","work_id":"4c607ddc-0611-474b-b598-14711854c9bf","year":2024},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.950353Z"},"links":{"cited_paper":"/paper/2410.23776","citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:bacf1cebb737b1312d33b5bb67809d797a35977f4636a08c4a7fc9959eca2b3c","observation_id":"7334467d-aa77-4c51-b92f-fb48506de059","resolution":{"observed_at":"2026-08-07T04:49:35.036276Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:35.541363Z","title":"Epoc: A 28-nm 5.3 pj/sop event-driven parallel neuromorphic hardware with neuromodulation-based online learning,","venue":null,"work_id":"51b91680-c7f5-48ed-a328-3ffb355daca6","year":2024},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.953620Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:9be20a601448fccefca990f84be9c21a9db89bed64db4b1b852e56bda1fd6a28","observation_id":"b320a84e-72ce-4c69-8ac0-01eeab5a903b","resolution":{"observed_at":"2026-08-07T04:49:35.544466Z","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":"2026-08-07T04:49:35.531876Z","title":"Closed-loop neural prostheses with on-chip intelligence: A review and a low- latency machine learning model for brain state detection,","venue":null,"work_id":"0cd20b0f-c823-4439-b4a7-d2bd6414a519","year":2021},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.956477Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:9c197c02ff81e9db8c86b83036c30f69e6db22e7b0c48968ab05384c95f59cde","observation_id":"64c7fed8-daeb-4f79-927d-e07fe2dd7c33","resolution":{"observed_at":"2026-08-07T04:49:35.535295Z","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":"10.1007/s11517-025-03317-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A hardware-efficient on-implant spike compression processor based on vq-dae for brain-implantable microsystems,","venue":"Medical & Biological Engineering & Computing","work_id":"3ee1a583-afdd-49f4-97a6-5a4a74a0773e","year":2025},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.958980Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:d8830746ca9afe8d3bdf20c1a55ce7e2c4137fbbd29f9a96d43d38c86da22a05","observation_id":"42ca8593-3e24-40e0-8b2c-e318d7c33ad2","resolution":{"observed_at":"2026-08-07T04:49:35.008895Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:35.522960Z","title":"Trends in ai inference energy consumption: Beyond the performance-vs-parameter laws of deep learning,","venue":null,"work_id":"1febfd4a-0111-43db-bb77-471d96aef5e4","year":2023},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.961715Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:2f674d8292e0838dd65f896d9bbca9ac49da145bdac9ac890ecbfcba26742d7f","observation_id":"527d2c4b-04a3-407e-b645-4db54c4ea8f9","resolution":{"observed_at":"2026-08-07T04:49:35.526118Z","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":"2026-08-07T04:49:35.512793Z","title":"Dissecting flops along input dimensions for greenai cost estimations,","venue":null,"work_id":"c842adc3-2547-41fd-b35f-4f891aa905d0","year":2022},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.964340Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:638d302fa36bedc3945c4edfc5fd7ebe527152376914f345287c116371d6886e","observation_id":"9116192b-6183-43d9-8ea9-9373ebedf5be","resolution":{"observed_at":"2026-08-07T04:49:35.516934Z","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":"2026-08-07T04:49:35.503242Z","title":"Seizure- cluster-inception cnn (scicnn): A patient-independent epilepsy tracking soc with 0-shot-retraining,","venue":null,"work_id":"fa1ebaaa-924e-4ca7-bd37-5e8bc6a0fdc6","year":2023},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.966871Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:b4854070a09172544f8ca8723879278ce019eddb221fac83aaa61bea153527fa","observation_id":"9090d75d-bcbf-4112-a2b3-492bf8e77475","resolution":{"observed_at":"2026-08-07T04:49:35.506712Z","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":"2026-08-07T04:49:35.493862Z","title":"Using the greenup, powerup, and speedup metrics to evaluate software energy efficiency,","venue":null,"work_id":"25f89f0d-c0dd-46c6-9e63-388a567c2cc3","year":2015},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.969389Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:81251f1c5d23b311174ea791cc05715d3259922fedbbba19c1cb73397c32f8fe","observation_id":"123e76f3-1960-4beb-bdb7-d16bb16b7af9","resolution":{"observed_at":"2026-08-07T04:49:35.497264Z","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":"10.1007/s10462-024-10943-8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:03:40.895421Z","title":"A framework for measuring the training efficiency of a neural architecture,","venue":"Artificial Intelligence Review","work_id":"a4aa580e-f6f6-4e2d-b702-ba0ac52de7ff","year":2024},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.972180Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:10dadc832d63bc15b3f1750e66c1dee4c9e4db536643b8d8cf2dcabc8153cc55","observation_id":"e447185b-d88b-45e0-a53e-09a0a807437d","resolution":{"observed_at":"2026-08-07T04:49:34.999193Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:34.931290Z","title":"Available: https://www.frontiersin.org/ journals/neuroscience/articles/10.3389/fnins.2015.00437","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:34.931290Z"},"links":{"citing_paper":"/paper/2506.09599"},"observation_digest":"sha256:d8e2d2ae363be9779bb979a66aa1ca4eab282b14a219bd940f02d9df9a624b4e","observation_id":"ad189eb8-302a-40fc-be2f-761c0316f34a","resolution":{"observed_at":"2026-08-07T04:49:34.931290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.09599","last_updated":"2025-06-11T10:58:36Z","latest_version":1,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-13T09:32:09.894821Z","submitted_at":"2025-06-11T10:58:36Z","title":"Energy Aware Development of Neuromorphic Implantables: From Metrics to Action"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":11,"verified_exact":5,"verified_fuzzy":17},"total_outbound_references":35},"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 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.09599."}