{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:FJSGUHEZYXZXB2DHMD6GRPE5ZM","short_pith_number":"pith:FJSGUHEZ","canonical_record":{"source":{"id":"2006.13138","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-06-23T16:33:49Z","cross_cats_sorted":[],"title_canon_sha256":"11f7df98b2facd9233f0d85be5a2f3cb403116707eb519e4a8a93691973f5842","abstract_canon_sha256":"72e9b36261722fda8caa27014e9ab32ff5ec877b846389a59359274809414238"},"schema_version":"1.0"},"canonical_sha256":"2a646a1c99c5f370e86760fc68bc9dcb02112966b9179578da61f0fc830d805e","source":{"kind":"arxiv","id":"2006.13138","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.13138","created_at":"2026-07-05T11:29:43Z"},{"alias_kind":"arxiv_version","alias_value":"2006.13138v3","created_at":"2026-07-05T11:29:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.13138","created_at":"2026-07-05T11:29:43Z"},{"alias_kind":"pith_short_12","alias_value":"FJSGUHEZYXZX","created_at":"2026-07-05T11:29:43Z"},{"alias_kind":"pith_short_16","alias_value":"FJSGUHEZYXZXB2DH","created_at":"2026-07-05T11:29:43Z"},{"alias_kind":"pith_short_8","alias_value":"FJSGUHEZ","created_at":"2026-07-05T11:29:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:FJSGUHEZYXZXB2DHMD6GRPE5ZM","target":"record","payload":{"canonical_record":{"source":{"id":"2006.13138","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-06-23T16:33:49Z","cross_cats_sorted":[],"title_canon_sha256":"11f7df98b2facd9233f0d85be5a2f3cb403116707eb519e4a8a93691973f5842","abstract_canon_sha256":"72e9b36261722fda8caa27014e9ab32ff5ec877b846389a59359274809414238"},"schema_version":"1.0"},"canonical_sha256":"2a646a1c99c5f370e86760fc68bc9dcb02112966b9179578da61f0fc830d805e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:43.768190Z","signature_b64":"nlSL61yO6CmsIovDOU0FV7ZTUUMp4ASo74e0T5NLpksAqcKvcehmpQkQvGSUlNbaouKVMndt1xUVzQbuYGOUAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2a646a1c99c5f370e86760fc68bc9dcb02112966b9179578da61f0fc830d805e","last_reissued_at":"2026-07-05T11:29:43.767688Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:43.767688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.13138","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:29:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3MPb7sj4WqAc4ZvMZc7E+uFKe8ECZncE6vkwk2X+F/U0YoPpT4y3t/SXI1v3jxb6GcgXN+YLKW2BmLQYcgvTBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:17:29.548219Z"},"content_sha256":"7a3555d324e621994c05316b89b499a19db75d4544c1b98dee871551c051140b","schema_version":"1.0","event_id":"sha256:7a3555d324e621994c05316b89b499a19db75d4544c1b98dee871551c051140b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:FJSGUHEZYXZXB2DHMD6GRPE5ZM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Eric M\\\"uller, Johannes Schemmel, Johannes Weis, Oliver Breitwieser, Philipp Spilger, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann","submitted_at":"2020-06-23T16:33:49Z","abstract_excerpt":"We present software facilitating the usage of the BrainScaleS-2 analog neuromorphic hardware system as an inference accelerator for artificial neural networks. The accelerator hardware is transparently integrated into the PyTorch machine learning framework using its extension interface. In particular, we provide accelerator support for vector-matrix multiplications and convolutions; corresponding software-based autograd functionality is provided for hardware-in-the-loop training. Automatic partitioning of neural networks onto one or multiple accelerator chips is supported. We analyze implement"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.13138","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2006.13138/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:29:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NM8env5b9fU2ZmYxlpgLhYEfJmFrdNx8PSbqNaSuwF164qyTBx7OUQTR0RWkcEzdH1EcJc4GEXxIia2iTduYBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:17:29.548751Z"},"content_sha256":"749a53e28b299ac284f629618aef0a22bba026132fa91f586d3cf810ee686c34","schema_version":"1.0","event_id":"sha256:749a53e28b299ac284f629618aef0a22bba026132fa91f586d3cf810ee686c34"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FJSGUHEZYXZXB2DHMD6GRPE5ZM/bundle.json","state_url":"https://pith.science/pith/FJSGUHEZYXZXB2DHMD6GRPE5ZM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FJSGUHEZYXZXB2DHMD6GRPE5ZM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T13:17:29Z","links":{"resolver":"https://pith.science/pith/FJSGUHEZYXZXB2DHMD6GRPE5ZM","bundle":"https://pith.science/pith/FJSGUHEZYXZXB2DHMD6GRPE5ZM/bundle.json","state":"https://pith.science/pith/FJSGUHEZYXZXB2DHMD6GRPE5ZM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FJSGUHEZYXZXB2DHMD6GRPE5ZM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:FJSGUHEZYXZXB2DHMD6GRPE5ZM","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"72e9b36261722fda8caa27014e9ab32ff5ec877b846389a59359274809414238","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-06-23T16:33:49Z","title_canon_sha256":"11f7df98b2facd9233f0d85be5a2f3cb403116707eb519e4a8a93691973f5842"},"schema_version":"1.0","source":{"id":"2006.13138","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.13138","created_at":"2026-07-05T11:29:43Z"},{"alias_kind":"arxiv_version","alias_value":"2006.13138v3","created_at":"2026-07-05T11:29:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.13138","created_at":"2026-07-05T11:29:43Z"},{"alias_kind":"pith_short_12","alias_value":"FJSGUHEZYXZX","created_at":"2026-07-05T11:29:43Z"},{"alias_kind":"pith_short_16","alias_value":"FJSGUHEZYXZXB2DH","created_at":"2026-07-05T11:29:43Z"},{"alias_kind":"pith_short_8","alias_value":"FJSGUHEZ","created_at":"2026-07-05T11:29:43Z"}],"graph_snapshots":[{"event_id":"sha256:749a53e28b299ac284f629618aef0a22bba026132fa91f586d3cf810ee686c34","target":"graph","created_at":"2026-07-05T11:29:43Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2006.13138/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present software facilitating the usage of the BrainScaleS-2 analog neuromorphic hardware system as an inference accelerator for artificial neural networks. The accelerator hardware is transparently integrated into the PyTorch machine learning framework using its extension interface. In particular, we provide accelerator support for vector-matrix multiplications and convolutions; corresponding software-based autograd functionality is provided for hardware-in-the-loop training. Automatic partitioning of neural networks onto one or multiple accelerator chips is supported. We analyze implement","authors_text":"Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Eric M\\\"uller, Johannes Schemmel, Johannes Weis, Oliver Breitwieser, Philipp Spilger, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-06-23T16:33:49Z","title":"hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.13138","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:7a3555d324e621994c05316b89b499a19db75d4544c1b98dee871551c051140b","target":"record","created_at":"2026-07-05T11:29:43Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"72e9b36261722fda8caa27014e9ab32ff5ec877b846389a59359274809414238","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-06-23T16:33:49Z","title_canon_sha256":"11f7df98b2facd9233f0d85be5a2f3cb403116707eb519e4a8a93691973f5842"},"schema_version":"1.0","source":{"id":"2006.13138","kind":"arxiv","version":3}},"canonical_sha256":"2a646a1c99c5f370e86760fc68bc9dcb02112966b9179578da61f0fc830d805e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a646a1c99c5f370e86760fc68bc9dcb02112966b9179578da61f0fc830d805e","first_computed_at":"2026-07-05T11:29:43.767688Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:43.767688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nlSL61yO6CmsIovDOU0FV7ZTUUMp4ASo74e0T5NLpksAqcKvcehmpQkQvGSUlNbaouKVMndt1xUVzQbuYGOUAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:43.768190Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.13138","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a3555d324e621994c05316b89b499a19db75d4544c1b98dee871551c051140b","sha256:749a53e28b299ac284f629618aef0a22bba026132fa91f586d3cf810ee686c34"],"state_sha256":"ce2ea1adfe4e3c7b29f862d40763a49a152cf00c29f6804f9e09fbf2c9bf6c07"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YhETYlTDOaiKpBJvBi0lJXzFIu46FNMzr+vL7ss5buONZwSjXhYY1gbAKzlN2TboqwzA9xLHdRyoE87SHVarBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T13:17:29.554247Z","bundle_sha256":"cad7923f6e7481212183142d5982895eaf975de6e6c245872b47f698d929ae08"}}