{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:6DUQ42GELE2SWXGJZOOTGS5DKQ","short_pith_number":"pith:6DUQ42GE","canonical_record":{"source":{"id":"1406.2889","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-06-11T12:39:10Z","cross_cats_sorted":[],"title_canon_sha256":"b72a18b2861a4e25fe685a6b1f5cf2c9167ed309cf2d22be65d7e02d54ddefd0","abstract_canon_sha256":"94c0c155ca6e4d54b87716f77154d83f5ca6c77cdbd17afeb1fe4c0f195d9421"},"schema_version":"1.0"},"canonical_sha256":"f0e90e68c459352b5cc9cb9d334ba354387563d5fc5a6ef1bc180c8b41f197cc","source":{"kind":"arxiv","id":"1406.2889","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.2889","created_at":"2026-05-18T02:49:54Z"},{"alias_kind":"arxiv_version","alias_value":"1406.2889v1","created_at":"2026-05-18T02:49:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.2889","created_at":"2026-05-18T02:49:54Z"},{"alias_kind":"pith_short_12","alias_value":"6DUQ42GELE2S","created_at":"2026-05-18T12:28:16Z"},{"alias_kind":"pith_short_16","alias_value":"6DUQ42GELE2SWXGJ","created_at":"2026-05-18T12:28:16Z"},{"alias_kind":"pith_short_8","alias_value":"6DUQ42GE","created_at":"2026-05-18T12:28:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:6DUQ42GELE2SWXGJZOOTGS5DKQ","target":"record","payload":{"canonical_record":{"source":{"id":"1406.2889","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-06-11T12:39:10Z","cross_cats_sorted":[],"title_canon_sha256":"b72a18b2861a4e25fe685a6b1f5cf2c9167ed309cf2d22be65d7e02d54ddefd0","abstract_canon_sha256":"94c0c155ca6e4d54b87716f77154d83f5ca6c77cdbd17afeb1fe4c0f195d9421"},"schema_version":"1.0"},"canonical_sha256":"f0e90e68c459352b5cc9cb9d334ba354387563d5fc5a6ef1bc180c8b41f197cc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:49:54.804258Z","signature_b64":"66cMcCYnlzgGC6xauMYtBsDDy8Fb4Z/H31e5s98ywnbn5Kt5DghGdTlnYDk+4yKhq4KOK4gGMFBmNZJuuUWSAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f0e90e68c459352b5cc9cb9d334ba354387563d5fc5a6ef1bc180c8b41f197cc","last_reissued_at":"2026-05-18T02:49:54.803467Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:49:54.803467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1406.2889","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":"2026-05-18T02:49:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0FxJTtjg/WHfTq6Db4jlDE8cmrIPlZaNXPelbLOhCVLmvbnrYf5mckWiD0J3QtriwaAP6eU+NwIQtbUbjhxRCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T14:42:56.974719Z"},"content_sha256":"1c46a92cc441c25ae8f35d7a50223abc85bc51573d496f015d5ddd0b4754e95c","schema_version":"1.0","event_id":"sha256:1c46a92cc441c25ae8f35d7a50223abc85bc51573d496f015d5ddd0b4754e95c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:6DUQ42GELE2SWXGJZOOTGS5DKQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explicit Computation of Input Weights in Extreme Learning Machines","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Andr\\'e van Schaik, Jonathan Tapson, Philip de Chazal","submitted_at":"2014-06-11T12:39:10Z","abstract_excerpt":"We present a closed form expression for initializing the input weights in a multi-layer perceptron, which can be used as the first step in synthesis of an Extreme Learning Ma-chine. The expression is based on the standard function for a separating hyperplane as computed in multilayer perceptrons and linear Support Vector Machines; that is, as a linear combination of input data samples. In the absence of supervised training for the input weights, random linear combinations of training data samples are used to project the input data to a higher dimensional hidden layer. The hidden layer weights "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.2889","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":""},"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":"2026-05-18T02:49:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Exvj4uKTUd8xuzZaKjob/9Zc1+vUtGMXlkaFv15UVczePn9zoP9YVwRIJlUd+lf5rRbQNckO4UE6HaKMqF10DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T14:42:56.975384Z"},"content_sha256":"840fa38e81535eb61ec46ad064b16f8655f17290842b772efc7296bcf58cd807","schema_version":"1.0","event_id":"sha256:840fa38e81535eb61ec46ad064b16f8655f17290842b772efc7296bcf58cd807"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6DUQ42GELE2SWXGJZOOTGS5DKQ/bundle.json","state_url":"https://pith.science/pith/6DUQ42GELE2SWXGJZOOTGS5DKQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6DUQ42GELE2SWXGJZOOTGS5DKQ/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":"2026-05-25T14:42:56Z","links":{"resolver":"https://pith.science/pith/6DUQ42GELE2SWXGJZOOTGS5DKQ","bundle":"https://pith.science/pith/6DUQ42GELE2SWXGJZOOTGS5DKQ/bundle.json","state":"https://pith.science/pith/6DUQ42GELE2SWXGJZOOTGS5DKQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6DUQ42GELE2SWXGJZOOTGS5DKQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:6DUQ42GELE2SWXGJZOOTGS5DKQ","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":"94c0c155ca6e4d54b87716f77154d83f5ca6c77cdbd17afeb1fe4c0f195d9421","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-06-11T12:39:10Z","title_canon_sha256":"b72a18b2861a4e25fe685a6b1f5cf2c9167ed309cf2d22be65d7e02d54ddefd0"},"schema_version":"1.0","source":{"id":"1406.2889","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.2889","created_at":"2026-05-18T02:49:54Z"},{"alias_kind":"arxiv_version","alias_value":"1406.2889v1","created_at":"2026-05-18T02:49:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.2889","created_at":"2026-05-18T02:49:54Z"},{"alias_kind":"pith_short_12","alias_value":"6DUQ42GELE2S","created_at":"2026-05-18T12:28:16Z"},{"alias_kind":"pith_short_16","alias_value":"6DUQ42GELE2SWXGJ","created_at":"2026-05-18T12:28:16Z"},{"alias_kind":"pith_short_8","alias_value":"6DUQ42GE","created_at":"2026-05-18T12:28:16Z"}],"graph_snapshots":[{"event_id":"sha256:840fa38e81535eb61ec46ad064b16f8655f17290842b772efc7296bcf58cd807","target":"graph","created_at":"2026-05-18T02:49:54Z","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"},"paper":{"abstract_excerpt":"We present a closed form expression for initializing the input weights in a multi-layer perceptron, which can be used as the first step in synthesis of an Extreme Learning Ma-chine. The expression is based on the standard function for a separating hyperplane as computed in multilayer perceptrons and linear Support Vector Machines; that is, as a linear combination of input data samples. In the absence of supervised training for the input weights, random linear combinations of training data samples are used to project the input data to a higher dimensional hidden layer. The hidden layer weights ","authors_text":"Andr\\'e van Schaik, Jonathan Tapson, Philip de Chazal","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-06-11T12:39:10Z","title":"Explicit Computation of Input Weights in Extreme Learning Machines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.2889","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":"sha256:1c46a92cc441c25ae8f35d7a50223abc85bc51573d496f015d5ddd0b4754e95c","target":"record","created_at":"2026-05-18T02:49:54Z","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":"94c0c155ca6e4d54b87716f77154d83f5ca6c77cdbd17afeb1fe4c0f195d9421","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-06-11T12:39:10Z","title_canon_sha256":"b72a18b2861a4e25fe685a6b1f5cf2c9167ed309cf2d22be65d7e02d54ddefd0"},"schema_version":"1.0","source":{"id":"1406.2889","kind":"arxiv","version":1}},"canonical_sha256":"f0e90e68c459352b5cc9cb9d334ba354387563d5fc5a6ef1bc180c8b41f197cc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0e90e68c459352b5cc9cb9d334ba354387563d5fc5a6ef1bc180c8b41f197cc","first_computed_at":"2026-05-18T02:49:54.803467Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:49:54.803467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"66cMcCYnlzgGC6xauMYtBsDDy8Fb4Z/H31e5s98ywnbn5Kt5DghGdTlnYDk+4yKhq4KOK4gGMFBmNZJuuUWSAg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:49:54.804258Z","signed_message":"canonical_sha256_bytes"},"source_id":"1406.2889","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c46a92cc441c25ae8f35d7a50223abc85bc51573d496f015d5ddd0b4754e95c","sha256:840fa38e81535eb61ec46ad064b16f8655f17290842b772efc7296bcf58cd807"],"state_sha256":"1ad7488713793e81d772cae68d8ec24382041c73164bdf41c00680a091d75a40"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H2os0b+reDKVPJilEx+yz+hBDnCcgkUA0/8feQWwIphevk6j1ocD3PgzpK7sDr1CB/YiCTIQDAS4HXIeGgsaAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T14:42:56.979056Z","bundle_sha256":"216cf4b78df73d40c2b206978123b1d44e3593a2a51e8514dc9a97aeb8c5d8d1"}}