{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:YVJRCEKUR6JRSYOYLMSNABWII7","short_pith_number":"pith:YVJRCEKU","canonical_record":{"source":{"id":"2005.04171","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-04-21T01:15:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3e79f2b8d4048d0aa3052ef904b3a351f5d9b83cf9f457fe4470dc602073b78d","abstract_canon_sha256":"e642520c51b5989a265584a65242923c76d6fc507b86402b746ae67a2fe071f0"},"schema_version":"1.0"},"canonical_sha256":"c5531111548f931961d85b24d006c847c3b8dbc8278e630a97de207b1222b724","source":{"kind":"arxiv","id":"2005.04171","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.04171","created_at":"2026-07-05T01:01:30Z"},{"alias_kind":"arxiv_version","alias_value":"2005.04171v1","created_at":"2026-07-05T01:01:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.04171","created_at":"2026-07-05T01:01:30Z"},{"alias_kind":"pith_short_12","alias_value":"YVJRCEKUR6JR","created_at":"2026-07-05T01:01:30Z"},{"alias_kind":"pith_short_16","alias_value":"YVJRCEKUR6JRSYOY","created_at":"2026-07-05T01:01:30Z"},{"alias_kind":"pith_short_8","alias_value":"YVJRCEKU","created_at":"2026-07-05T01:01:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:YVJRCEKUR6JRSYOYLMSNABWII7","target":"record","payload":{"canonical_record":{"source":{"id":"2005.04171","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-04-21T01:15:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3e79f2b8d4048d0aa3052ef904b3a351f5d9b83cf9f457fe4470dc602073b78d","abstract_canon_sha256":"e642520c51b5989a265584a65242923c76d6fc507b86402b746ae67a2fe071f0"},"schema_version":"1.0"},"canonical_sha256":"c5531111548f931961d85b24d006c847c3b8dbc8278e630a97de207b1222b724","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:01:30.381621Z","signature_b64":"Y/i5GQuzndJvtwzRPKX8MZuYFhodGzolh6yB3Y/YFj8jX6YwD3wdoiY58SshTMN0REpYRYotX7PceXB3hBvVDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5531111548f931961d85b24d006c847c3b8dbc8278e630a97de207b1222b724","last_reissued_at":"2026-07-05T01:01:30.381142Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:01:30.381142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.04171","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:01:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"26TC6JFVfVCmQVzvpyUOEXjUzZAK4L2QzR4ze8KEkeHD6q8644njymmHwlyrWjivJ/Bv6Hw9YrGf8aoc1erxBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T14:11:22.101492Z"},"content_sha256":"150df78c2f3670f3e6dba7b7a3b8de1c3613a9779e0082dfdda6930edcb5e405","schema_version":"1.0","event_id":"sha256:150df78c2f3670f3e6dba7b7a3b8de1c3613a9779e0082dfdda6930edcb5e405"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:YVJRCEKUR6JRSYOYLMSNABWII7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.NE","authors_text":"Bill Kay, Catherine D. Schuman, Derek C. Rose, J. Parker Mitchell, Kaushik Roy, Maryam Parsa, Prasanna Date, Ryan Dellana, Steven R. Young, Thomas E. Potok, William Severa","submitted_at":"2020-04-21T01:15:45Z","abstract_excerpt":"Training neural networks for neuromorphic deployment is non-trivial. There have been a variety of approaches proposed to adapt back-propagation or back-propagation-like algorithms appropriate for training. Considering that these networks often have very different performance characteristics than traditional neural networks, it is often unclear how to set either the network topology or the hyperparameters to achieve optimal performance. In this work, we introduce a Bayesian approach for optimizing the hyperparameters of an algorithm for training binary communication networks that can be deploye"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.04171","kind":"arxiv","version":1},"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/2005.04171/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":"2026-07-05T01:01:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+daniBmG7c+OeMC+vDxgpjysC8mQAMlQUWzSj5eNSggwvzumrUUyIW39CAnDWUQfAABUmK3omkQ81HS6PsjmDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T14:11:22.101865Z"},"content_sha256":"c18b8c6f3363e889aebd1ed45715e0d68c791c159414e627c109426962b0784b","schema_version":"1.0","event_id":"sha256:c18b8c6f3363e889aebd1ed45715e0d68c791c159414e627c109426962b0784b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YVJRCEKUR6JRSYOYLMSNABWII7/bundle.json","state_url":"https://pith.science/pith/YVJRCEKUR6JRSYOYLMSNABWII7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YVJRCEKUR6JRSYOYLMSNABWII7/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":"2026-07-11T14:11:22Z","links":{"resolver":"https://pith.science/pith/YVJRCEKUR6JRSYOYLMSNABWII7","bundle":"https://pith.science/pith/YVJRCEKUR6JRSYOYLMSNABWII7/bundle.json","state":"https://pith.science/pith/YVJRCEKUR6JRSYOYLMSNABWII7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YVJRCEKUR6JRSYOYLMSNABWII7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:YVJRCEKUR6JRSYOYLMSNABWII7","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":"e642520c51b5989a265584a65242923c76d6fc507b86402b746ae67a2fe071f0","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-04-21T01:15:45Z","title_canon_sha256":"3e79f2b8d4048d0aa3052ef904b3a351f5d9b83cf9f457fe4470dc602073b78d"},"schema_version":"1.0","source":{"id":"2005.04171","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.04171","created_at":"2026-07-05T01:01:30Z"},{"alias_kind":"arxiv_version","alias_value":"2005.04171v1","created_at":"2026-07-05T01:01:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.04171","created_at":"2026-07-05T01:01:30Z"},{"alias_kind":"pith_short_12","alias_value":"YVJRCEKUR6JR","created_at":"2026-07-05T01:01:30Z"},{"alias_kind":"pith_short_16","alias_value":"YVJRCEKUR6JRSYOY","created_at":"2026-07-05T01:01:30Z"},{"alias_kind":"pith_short_8","alias_value":"YVJRCEKU","created_at":"2026-07-05T01:01:30Z"}],"graph_snapshots":[{"event_id":"sha256:c18b8c6f3363e889aebd1ed45715e0d68c791c159414e627c109426962b0784b","target":"graph","created_at":"2026-07-05T01:01:30Z","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/2005.04171/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Training neural networks for neuromorphic deployment is non-trivial. There have been a variety of approaches proposed to adapt back-propagation or back-propagation-like algorithms appropriate for training. Considering that these networks often have very different performance characteristics than traditional neural networks, it is often unclear how to set either the network topology or the hyperparameters to achieve optimal performance. In this work, we introduce a Bayesian approach for optimizing the hyperparameters of an algorithm for training binary communication networks that can be deploye","authors_text":"Bill Kay, Catherine D. Schuman, Derek C. Rose, J. Parker Mitchell, Kaushik Roy, Maryam Parsa, Prasanna Date, Ryan Dellana, Steven R. Young, Thomas E. Potok, William Severa","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-04-21T01:15:45Z","title":"Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.04171","kind":"arxiv","version":1},"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":"sha256:150df78c2f3670f3e6dba7b7a3b8de1c3613a9779e0082dfdda6930edcb5e405","target":"record","created_at":"2026-07-05T01:01:30Z","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":"e642520c51b5989a265584a65242923c76d6fc507b86402b746ae67a2fe071f0","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-04-21T01:15:45Z","title_canon_sha256":"3e79f2b8d4048d0aa3052ef904b3a351f5d9b83cf9f457fe4470dc602073b78d"},"schema_version":"1.0","source":{"id":"2005.04171","kind":"arxiv","version":1}},"canonical_sha256":"c5531111548f931961d85b24d006c847c3b8dbc8278e630a97de207b1222b724","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5531111548f931961d85b24d006c847c3b8dbc8278e630a97de207b1222b724","first_computed_at":"2026-07-05T01:01:30.381142Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:01:30.381142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y/i5GQuzndJvtwzRPKX8MZuYFhodGzolh6yB3Y/YFj8jX6YwD3wdoiY58SshTMN0REpYRYotX7PceXB3hBvVDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:01:30.381621Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.04171","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:150df78c2f3670f3e6dba7b7a3b8de1c3613a9779e0082dfdda6930edcb5e405","sha256:c18b8c6f3363e889aebd1ed45715e0d68c791c159414e627c109426962b0784b"],"state_sha256":"bdf04422eb84ed3711cc92c728f63589f4a3cc10d9526a85870daab0f5a1e45d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PLptxXZHQCNbqjKcAhfXrAbNvEhlo5Cdvgw2wygfusxR4S0hc2QrTWBybrjNZLEA+h8eMXkSCJlly22vhaaQCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T14:11:22.103999Z","bundle_sha256":"87a5250c04ba8351a7663177a4efb91d4f7febd3e358f07bde945c76784d13e3"}}