{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:JQGDKGPLTCJ7F3SRV5BU42LMLV","short_pith_number":"pith:JQGDKGPL","canonical_record":{"source":{"id":"1908.08118","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-08-13T18:57:30Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"55d954d507182f655751d724496d3ee34c475c0d9f6dbb103090e5813e3c0002","abstract_canon_sha256":"b7372745511766090de9dddf5f6e20b966081741357bb6ba101c1c11f013172c"},"schema_version":"1.0"},"canonical_sha256":"4c0c3519eb9893f2ee51af434e696c5d4279f53ab9d1cadd30f43ded559202b6","source":{"kind":"arxiv","id":"1908.08118","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08118","created_at":"2026-07-05T02:36:42Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08118v3","created_at":"2026-07-05T02:36:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08118","created_at":"2026-07-05T02:36:42Z"},{"alias_kind":"pith_short_12","alias_value":"JQGDKGPLTCJ7","created_at":"2026-07-05T02:36:42Z"},{"alias_kind":"pith_short_16","alias_value":"JQGDKGPLTCJ7F3SR","created_at":"2026-07-05T02:36:42Z"},{"alias_kind":"pith_short_8","alias_value":"JQGDKGPL","created_at":"2026-07-05T02:36:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:JQGDKGPLTCJ7F3SRV5BU42LMLV","target":"record","payload":{"canonical_record":{"source":{"id":"1908.08118","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-08-13T18:57:30Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"55d954d507182f655751d724496d3ee34c475c0d9f6dbb103090e5813e3c0002","abstract_canon_sha256":"b7372745511766090de9dddf5f6e20b966081741357bb6ba101c1c11f013172c"},"schema_version":"1.0"},"canonical_sha256":"4c0c3519eb9893f2ee51af434e696c5d4279f53ab9d1cadd30f43ded559202b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:36:42.656879Z","signature_b64":"/lOuclL/I8YXt7O8RS5GCJnpcP+4fAId/3/HtkXUCWB6aGV3KLAJ0A8OoPN2rUPkj/Rq6/SIkoMHr8fDggKyBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c0c3519eb9893f2ee51af434e696c5d4279f53ab9d1cadd30f43ded559202b6","last_reissued_at":"2026-07-05T02:36:42.656368Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:36:42.656368Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.08118","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":"2026-07-05T02:36:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xI2RLl0Ab0TwuzQMoGgyes/T6qFou/N+X3EzPn+vjrKVm0WlfctG159VU5qtRgqp3BXmX0eeW180DdGjgC7yAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T15:51:02.756846Z"},"content_sha256":"7085ae05be67517fbcd357261964ef404017add73104eb5751480b98a73d9d13","schema_version":"1.0","event_id":"sha256:7085ae05be67517fbcd357261964ef404017add73104eb5751480b98a73d9d13"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:JQGDKGPLTCJ7F3SRV5BU42LMLV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Plasticity Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.NE","authors_text":"Shihao Ji, Yang Li","submitted_at":"2019-08-13T18:57:30Z","abstract_excerpt":"Neural plasticity is an important functionality of human brain, in which number of neurons and synapses can shrink or expand in response to stimuli throughout the span of life. We model this dynamic learning process as an $L_0$-norm regularized binary optimization problem, in which each unit of a neural network (e.g., weight, neuron or channel, etc.) is attached with a stochastic binary gate, whose parameters determine the level of activity of a unit in the network. At the beginning, only a small portion of binary gates (therefore the corresponding neurons) are activated, while the remaining n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08118","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/1908.08118/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":"2026-07-05T02:36:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q29461y4I4q/TyWdtZkoDVCJu8HGxigBus6KGwSempABxJ+y2xgwdvfABojeLBzOg/1lXnqxq57dV1G1avmjAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T15:51:02.757729Z"},"content_sha256":"2d83ca0d36bf6b84ec91d357c5ca1099923c91eee17f69f3cfefd6cb4e391ffe","schema_version":"1.0","event_id":"sha256:2d83ca0d36bf6b84ec91d357c5ca1099923c91eee17f69f3cfefd6cb4e391ffe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JQGDKGPLTCJ7F3SRV5BU42LMLV/bundle.json","state_url":"https://pith.science/pith/JQGDKGPLTCJ7F3SRV5BU42LMLV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JQGDKGPLTCJ7F3SRV5BU42LMLV/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":"2026-08-15T15:51:02Z","links":{"resolver":"https://pith.science/pith/JQGDKGPLTCJ7F3SRV5BU42LMLV","bundle":"https://pith.science/pith/JQGDKGPLTCJ7F3SRV5BU42LMLV/bundle.json","state":"https://pith.science/pith/JQGDKGPLTCJ7F3SRV5BU42LMLV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JQGDKGPLTCJ7F3SRV5BU42LMLV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JQGDKGPLTCJ7F3SRV5BU42LMLV","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":"b7372745511766090de9dddf5f6e20b966081741357bb6ba101c1c11f013172c","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-08-13T18:57:30Z","title_canon_sha256":"55d954d507182f655751d724496d3ee34c475c0d9f6dbb103090e5813e3c0002"},"schema_version":"1.0","source":{"id":"1908.08118","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08118","created_at":"2026-07-05T02:36:42Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08118v3","created_at":"2026-07-05T02:36:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08118","created_at":"2026-07-05T02:36:42Z"},{"alias_kind":"pith_short_12","alias_value":"JQGDKGPLTCJ7","created_at":"2026-07-05T02:36:42Z"},{"alias_kind":"pith_short_16","alias_value":"JQGDKGPLTCJ7F3SR","created_at":"2026-07-05T02:36:42Z"},{"alias_kind":"pith_short_8","alias_value":"JQGDKGPL","created_at":"2026-07-05T02:36:42Z"}],"graph_snapshots":[{"event_id":"sha256:2d83ca0d36bf6b84ec91d357c5ca1099923c91eee17f69f3cfefd6cb4e391ffe","target":"graph","created_at":"2026-07-05T02:36:42Z","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/1908.08118/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural plasticity is an important functionality of human brain, in which number of neurons and synapses can shrink or expand in response to stimuli throughout the span of life. We model this dynamic learning process as an $L_0$-norm regularized binary optimization problem, in which each unit of a neural network (e.g., weight, neuron or channel, etc.) is attached with a stochastic binary gate, whose parameters determine the level of activity of a unit in the network. At the beginning, only a small portion of binary gates (therefore the corresponding neurons) are activated, while the remaining n","authors_text":"Shihao Ji, Yang Li","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-08-13T18:57:30Z","title":"Neural Plasticity Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08118","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":"sha256:7085ae05be67517fbcd357261964ef404017add73104eb5751480b98a73d9d13","target":"record","created_at":"2026-07-05T02:36:42Z","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":"b7372745511766090de9dddf5f6e20b966081741357bb6ba101c1c11f013172c","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-08-13T18:57:30Z","title_canon_sha256":"55d954d507182f655751d724496d3ee34c475c0d9f6dbb103090e5813e3c0002"},"schema_version":"1.0","source":{"id":"1908.08118","kind":"arxiv","version":3}},"canonical_sha256":"4c0c3519eb9893f2ee51af434e696c5d4279f53ab9d1cadd30f43ded559202b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c0c3519eb9893f2ee51af434e696c5d4279f53ab9d1cadd30f43ded559202b6","first_computed_at":"2026-07-05T02:36:42.656368Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:36:42.656368Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/lOuclL/I8YXt7O8RS5GCJnpcP+4fAId/3/HtkXUCWB6aGV3KLAJ0A8OoPN2rUPkj/Rq6/SIkoMHr8fDggKyBA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:36:42.656879Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.08118","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7085ae05be67517fbcd357261964ef404017add73104eb5751480b98a73d9d13","sha256:2d83ca0d36bf6b84ec91d357c5ca1099923c91eee17f69f3cfefd6cb4e391ffe"],"state_sha256":"cebed33fdcd6becf1e81b91c90949cfe1e1dab7247be0ab3616c5b547607eaa0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C2N9+Q3HfA4AcG50LNFi3jrHvxqvparWGuyVN44QvKmXIkNHdWwokdJBGYcTosBO5ZKCFi/9H6Xkw+kqh0uiCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T15:51:02.763689Z","bundle_sha256":"f2c912989a868d2e08dbc2932dd257c0d7e459e30d837ab9d91abf9012d73db7"}}