{"as_of":"2026-08-21T10:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7e68c578ed8d8e8d4d01298076b47e8424e4738bd9fa81a5e6214d7c245c73cf","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:47:37.554851Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2412.03128/citation-record","integrity":"/paper/2412.03128/integrity","json":"/paper/2412.03128/citation-record.json","paper":"/paper/2412.03128"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:47:42.704964Z","title":"Extremely scalable spiking neuronal network simulation code: From laptops to exascale computers,","venue":null,"work_id":"59b294c4-440e-47f5-aea3-370e60dfbd3d","year":null},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.174765Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:57a97ec04c9ca508dd1174e0b1f2facbf03691f5bcd87cc452665bc94f0fed65","observation_id":"200612d2-a41a-4112-97f2-621db40803a1","resolution":{"observed_at":"2026-08-11T22:47:42.753365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tc.2012.142","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:47:38.754759Z","title":"Overview of the SpiNNaker system architecture,","venue":null,"work_id":"50f5a26b-dc50-4208-9878-99fe4fee7022","year":2013},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.234763Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:e365e6b6486b56a4da90b88e38868d9c0914927bad6c1b71d3810cf235bd7ed3","observation_id":"501987e1-6e31-44b2-973f-5779e4c6267e","resolution":{"observed_at":"2026-08-11T22:47:38.804751Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:36.284755Z","title":"Spynnaker: A software package for running pynn simulations on spinnaker,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.284755Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:fbd906964e517a7bdf6a83218035cd8ac2b9cf4889c4f41be820a081114acffb","observation_id":"ef1c0095-4d95-43ea-b7bd-6db878b37585","resolution":{"observed_at":"2026-08-11T22:47:36.284755Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-11T22:47:36.332471Z","title":"Efficient neuromorphic signal pro- cessing with Loihi 2,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.332471Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:ad944fc95ff291dceaf0c328a7285e47a63e1619d18865373a6739a5b4c20d3a","observation_id":"2dfff2c3-817b-4159-bc52-8f0fb3ada084","resolution":{"observed_at":"2026-08-11T22:47:36.332471Z","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":"2026-08-11T22:47:36.366182Z","title":"Large-scale neuromorphic spiking array processors: A quest to mimic the brain,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.366182Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:a497db3e27915c143a5407cd2c5409d2cf8214c40356bbc4cbd3f4e3833363c3","observation_id":"0b2da13e-a3e3-44a4-b1ae-f52208ec683d","resolution":{"observed_at":"2026-08-11T22:47:36.366182Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-11T22:47:42.605790Z","title":"NEST (NEural Simulation Tool),","venue":null,"work_id":"549d8cf1-4bd8-489d-82f5-22780cefcec0","year":2007},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.424790Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:c37d96b945dab64b7719b9cd4f331cc73a17308894f31db7cea50140d647a4b1","observation_id":"7e51b0aa-3f7c-4f26-bab1-e568eba7c8de","resolution":{"observed_at":"2026-08-11T22:47:42.635280Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:42.537579Z","title":"Brian 2, an intuitive and efficient neural simulator,","venue":null,"work_id":"19dd1513-4f83-49a9-abb3-1076c73a6fa1","year":2019},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.484355Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:397fac9b16dc4cd1b2423de9b1ad8e0cd0b65b21111af6ac1badcbf17ac84675","observation_id":"a7f07ab8-cc74-45eb-ab91-689e8123190e","resolution":{"observed_at":"2026-08-11T22:47:42.562577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:36.534659Z","title":"The impact of studying brain plasticity,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.534659Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:dd921affb6cef99d295158c191816476c9c3a24d81ddbe7c7b1d4dcf2b11e94e","observation_id":"7479751b-f0a4-4bc6-bce6-8e7195ff80af","resolution":{"observed_at":"2026-08-11T22:47:36.534659Z","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":"2015.00138","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:47:40.954758Z","title":"Models of metaplasticity: A review of concepts,","venue":null,"work_id":"93b97803-f455-46bb-9ec1-8cb500663dea","year":2015},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.564754Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:c61a9e22f15ec37d804bbba98ba319de00ecd312e99124840c0b75e683231714","observation_id":"bc84fe9f-0e0f-4885-bca5-c82b3a03e350","resolution":{"observed_at":"2026-08-11T22:47:41.034821Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:36.604858Z","title":"Memory consolidation and im- provement by synaptic tagging and capture in recurrent neural networks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.604858Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:7b808b4a54416efdc32b544d4da15215ba8131c4ebe0a9bb3ecf14b430a87eb4","observation_id":"6bf23b45-0d18-403f-add9-2c6d72f00ff5","resolution":{"observed_at":"2026-08-11T22:47:36.604858Z","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":"2026-08-11T22:47:36.654769Z","title":"Evolving interpretable plasticity for spiking networks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.654769Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:0ddf5756923e4c8e3e2887a0033dc4378ba5dd6ab836b53f5637168960d5c192","observation_id":"256b311b-069e-4f57-b127-972b185fadb3","resolution":{"observed_at":"2026-08-11T22:47:36.654769Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.00483","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:47:40.624754Z","title":"Neuromorphic hardware learns to learn,","venue":null,"work_id":"1179b244-d34a-42df-8533-dc3240036b55","year":2019},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.704759Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:7c5843b82292b99600436be7f2e8913990f23a81972924a18443ef9ada44ba2b","observation_id":"9fbd2921-2a93-4453-b8e5-0835d4faead0","resolution":{"observed_at":"2026-08-11T22:47:40.693542Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:36.754766Z","title":"Code generation in computational neuroscience: A review of tools and techniques,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.754766Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:33bcb2cba28e17eff43efc66b9d18fd1cc0193e5d31c59169b4353bc7f63a5e4","observation_id":"abdfec2b-c59c-452d-845a-71d299e3742e","resolution":{"observed_at":"2026-08-11T22:47:36.754766Z","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":"2026-08-11T22:47:42.490872Z","title":"GeNN: A code generation framework for accelerated brain simulations,","venue":null,"work_id":"624ea398-e443-45e1-9403-0c6082373165","year":2016},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.793720Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:ee993522c6e0b37c99f7b686dc320d9e67558f787a1d8fc6be03366ecb4254d0","observation_id":"95e03ad2-e587-4d54-aadc-da77ef6aa157","resolution":{"observed_at":"2026-08-11T22:47:42.518633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:42.335473Z","title":"Sabne, XLA: Compiling machine learning for peak performance, 2020","venue":null,"work_id":"70fa3b80-066c-43d9-8676-7ca9aa2e016e","year":2020},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.834765Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:af8b6b534ebad9af0d98ace9bbde0425473e878c5ee7fce6e6aaf1b3739aaf63","observation_id":"efefc903-3158-408b-b771-5eaecf7c5b00","resolution":{"observed_at":"2026-08-11T22:47:42.366181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:36.874763Z","title":"Frameworks for SNNs: A review of data science-oriented software and an expansion of SpykeTorch,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.874763Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:0a339220649f2307f07896bd68a13fce98e6da88ee986d505cae4b3105a5644f","observation_id":"686d8e3d-47c4-4c5a-87a9-5c3f78010c9a","resolution":{"observed_at":"2026-08-11T22:47:36.874763Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.neunet.2020.09.024","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:47:38.324263Z","title":"Structural plasticity on an accel- erated analog neuromorphic hardware system,","venue":null,"work_id":"e0d65961-7536-4f8e-860f-fd2213546b8f","year":2021},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.924754Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:f255fdad33c451434f2d856f719606dff67c009c216b13e9bbdbce1d00f52af9","observation_id":"06105f1a-4107-445c-ad7a-9b6a11564136","resolution":{"observed_at":"2026-08-11T22:47:38.374763Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:36.984755Z","title":"Versatile emulation of spiking neu- ral networks on an accelerated neuromorphic substrate,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.984755Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:68c819e9656915d1f83fdf5281f43020126042018096ea465da2bda49a195302","observation_id":"e5360367-684c-4bf0-bd70-44d316f55331","resolution":{"observed_at":"2026-08-11T22:47:36.984755Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-020-16548-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:47:38.184991Z","title":"Control of criticality and computation in spiking neuromorphic networks with plasticity,","venue":null,"work_id":"e632aa0e-ae02-4df8-b6ce-70a22b9c5133","year":2020},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.015064Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:45c1b68ae77038f967072a121da6b14d92f9d0d53c8556aad351731949623f64","observation_id":"a91dd0e5-c75b-4823-918a-9881fa9203be","resolution":{"observed_at":"2026-08-11T22:47:38.234747Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:37.054858Z","title":"Autocorrelations from emergent bistability in homeostatic spiking neural networks on neu- romorphic hardware,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.054858Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:18340fa5641f2b9e704c6d445a5e961dafbb3ec7579ff7754ebe570e621b623b","observation_id":"4a9c5ef1-ae59-49af-b08e-298732c5f581","resolution":{"observed_at":"2026-08-11T22:47:37.054858Z","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":"2026-08-11T22:47:37.104751Z","title":"Demonstrating advantages of neuromorphic computation: A pilot study,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.104751Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:3b12f8060367faa470cd3da218fa95aeaffda03dfe83a0f6d09f44db308be6e6","observation_id":"34a386f7-5066-42c3-ab7e-504fd7e4105f","resolution":{"observed_at":"2026-08-11T22:47:37.104751Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.88412","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:47:39.754831Z","title":"A scalable approach to modeling on accelerated neuromorphic hardware,","venue":null,"work_id":"5844cfaf-e974-47da-baf2-eccab71545a7","year":2022},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.144845Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:a43d2edce4d537b342b7d022f9ab1013985c8cf7a5c0365ea986789fde80ecdc","observation_id":"04490d05-e073-43cb-9958-9a74717e1af9","resolution":{"observed_at":"2026-08-11T22:47:39.824750Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:37.240921Z","title":"The BrainScaleS-2 accelerated neuro- morphic system with hybrid plasticity,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.240921Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:6fa28fc38a7ec5cb248bb6ee2dbcb71a2c5b2b25bf7695abcdc2e3171974dd2d","observation_id":"196fa58b-acc1-4c22-9cb6-8425ee1716b3","resolution":{"observed_at":"2026-08-11T22:47:37.240921Z","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":"2026-08-11T22:47:42.205071Z","title":"PowerISA version 2.06 revision b,","venue":null,"work_id":"43f84a1e-957a-4f61-a915-06dba77dfcbb","year":2010},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.284754Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:9516f6951d161cd874b504632087afa47de0aa8b4e6efbd2827de01242824c02","observation_id":"22dda0e7-fae0-4a5c-a12d-f97aabf5636a","resolution":{"observed_at":"2026-08-11T22:47:42.242042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:37.324749Z","title":"Demonstrating hybrid learning in a flexible neuromorphic hardware system,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.324749Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:9b977e8307cf6ab8cb12ce985eb61fd6ef8ed0c686f141e37d8b4ee1005af837","observation_id":"3171a774-af35-49ae-934f-cb481c90d562","resolution":{"observed_at":"2026-08-11T22:47:37.324749Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-11T22:47:42.077738Z","title":"Friedmann, Omnibus on-chip bus , forked from https: //github.com/five-elephants/omnibus, 2015","venue":null,"work_id":"63bafc68-2ad9-410f-aaca-cca7c43f5c6a","year":2015},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.363596Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:21e5c9ec3ac145512457929fe9f5ae82b3af19023629eab39c90d299da2868da","observation_id":"7364608c-ca78-4605-b6e5-bbb4b027a37d","resolution":{"observed_at":"2026-08-11T22:47:42.114780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:37.389632Z","title":"PyNN: A common interface for neuronal network simulators,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.389632Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:ef14096137b039412d02195c614aff573f3230ce759e0f05ad68134540824149","observation_id":"890bc48c-8bec-4946-a7e4-9d8ff346ccce","resolution":{"observed_at":"2026-08-11T22:47:37.389632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13750","last_updated":"2020-03-30T18:58:55Z","snapshot_observed_at":"2026-08-16T03:53:49.234040Z","submitted_at":"2020-03-30T18:58:55Z","title":"Extending BrainScaleS OS for BrainScaleS-2","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.13750","snapshot_observed_at":"2026-08-11T22:47:37.409056Z","title":"Extending BrainScaleS OS for BrainScaleS-2,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.409056Z"},"links":{"cited_paper":"/paper/2003.13750","citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:79bbb69b9053ffd0f71e2381c214aa4aab0d132b325ade8b333bb597fe3cc3bf","observation_id":"f95988f8-d1bb-440e-bbda-79d8ed8f0cb3","resolution":{"observed_at":"2026-08-11T22:47:37.409056Z","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":"2026-08-11T22:47:41.974769Z","title":"Vinkelis, Bitsery, https://github.com/fraillt/bitsery, 2020","venue":null,"work_id":"25ddd073-4a91-45da-a360-d83daca805d4","year":2020},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.437713Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:4ed88942ab1b13fd4d6b4346f8b1e5eace4542e73aa52e117b035158a0595d52","observation_id":"fba8d12e-8515-4422-b834-7f478bb813c5","resolution":{"observed_at":"2026-08-11T22:47:42.005649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.12751/nncn.bc2023","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:47:37.734757Z","title":"Dietrich et al., Multi-compartment models with STDP on BrainScaleS-2, 2023","venue":null,"work_id":"8e67e50f-c687-4839-af86-3105f23fd594","year":2023},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.466068Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:aebda5dcd6c81189acc17e697c2b6d65c83944f502edd0aae7922914047fac76","observation_id":"79b25d50-bad3-4d9c-9b11-e62d388f6a5f","resolution":{"observed_at":"2026-08-11T22:47:37.784748Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:41.875604Z","title":"Atoui et al., Multi-timescale synaptic plasticity on analog neuromorphic hardware , 2024","venue":null,"work_id":"8fb0d955-2887-4e6d-9fc2-dc2c02a55d3b","year":2024},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.487498Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:b683d2b0ce7a5ce927c1bcc8761576dd3bb10e521c2562e98f7a260bf9b27ea6","observation_id":"72baeea6-77d0-4c7e-a491-4d37dd83bc8f","resolution":{"observed_at":"2026-08-11T22:47:41.893476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T22:47:37.514465Z","title":"LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.514465Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:8f10f21dd3aea0c2e026cb48c8bd59da9ce229537e4aaeb547c927ef8c21e420","observation_id":"f4b391da-cdaf-4402-9f74-bb4e2561490f","resolution":{"observed_at":"2026-08-11T22:47:37.514465Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-11T22:47:37.554851Z","title":"Jaxsnn: Event-driven gradient esti- mation for analog neuromorphic hardware,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:37.554851Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:d1cddfe5806a137710d22929d5804fa4c371e9f4f7e2970597eed3aca99efcb8","observation_id":"a38d6cf0-1296-469e-9f2b-b9d9c4ff0670","resolution":{"observed_at":"2026-08-11T22:47:37.554851Z","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":"2026-08-11T22:47:36.202162Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-11T22:47:36.202162Z"},"links":{"citing_paper":"/paper/2412.03128"},"observation_digest":"sha256:c19be10392d5eb211b702e84728c2d04aab8e507ff70602f85f721ab7814ee33","observation_id":"0176a9ca-2dad-42ef-a33b-7f347f8bc231","resolution":{"observed_at":"2026-08-11T22:47:36.202162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.03128","last_updated":"2024-12-04T08:46:06Z","latest_version":1,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-16T18:35:28.124785Z","submitted_at":"2024-12-04T08:46:06Z","title":"Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":9,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":10,"verified_exact":6,"verified_fuzzy":8},"total_outbound_references":34},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.03128."}