{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:J23YI5V4WAHVF5TQWZLR65TQNE","short_pith_number":"pith:J23YI5V4","canonical_record":{"source":{"id":"1512.03025","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-12-09T20:08:43Z","cross_cats_sorted":["cs.LG","cs.NE","math.OC"],"title_canon_sha256":"ce927c43c00f9c6e3fa95f45730c1a0efa4774ce5ed4a26a6b43c7d6234b7bed","abstract_canon_sha256":"aab67751f7af0bf1057cd9aa9ff3e15698a62ba7b8ac4a73576a92e2cd17b2ed"},"schema_version":"1.0"},"canonical_sha256":"4eb78476bcb00f52f670b6571f76706927fe23a2775de5580471f06dfd955888","source":{"kind":"arxiv","id":"1512.03025","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.03025","created_at":"2026-05-18T01:24:39Z"},{"alias_kind":"arxiv_version","alias_value":"1512.03025v1","created_at":"2026-05-18T01:24:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.03025","created_at":"2026-05-18T01:24:39Z"},{"alias_kind":"pith_short_12","alias_value":"J23YI5V4WAHV","created_at":"2026-05-18T12:29:27Z"},{"alias_kind":"pith_short_16","alias_value":"J23YI5V4WAHVF5TQ","created_at":"2026-05-18T12:29:27Z"},{"alias_kind":"pith_short_8","alias_value":"J23YI5V4","created_at":"2026-05-18T12:29:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:J23YI5V4WAHVF5TQWZLR65TQNE","target":"record","payload":{"canonical_record":{"source":{"id":"1512.03025","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-12-09T20:08:43Z","cross_cats_sorted":["cs.LG","cs.NE","math.OC"],"title_canon_sha256":"ce927c43c00f9c6e3fa95f45730c1a0efa4774ce5ed4a26a6b43c7d6234b7bed","abstract_canon_sha256":"aab67751f7af0bf1057cd9aa9ff3e15698a62ba7b8ac4a73576a92e2cd17b2ed"},"schema_version":"1.0"},"canonical_sha256":"4eb78476bcb00f52f670b6571f76706927fe23a2775de5580471f06dfd955888","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:24:39.024971Z","signature_b64":"AtN7qCrbo100c3Xz9+rwjGLEHct5+c3joD9aMb9iJd4QSZVws2qJ5hKB/BOfEouTmu553NSY7IPGp0tTDDsFDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4eb78476bcb00f52f670b6571f76706927fe23a2775de5580471f06dfd955888","last_reissued_at":"2026-05-18T01:24:39.024597Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:24:39.024597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1512.03025","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":"2026-05-18T01:24:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5O6dMYKtHul2Tv9Yd784Ttp0VbxTD7pO8q19oVoGHNWC5t9ZZAbmbWbZMJ/YyLN74bHgrYMxKa7kvGmAtL2rBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:49:24.282744Z"},"content_sha256":"434ea0f2ad6966aad9c17bfb4c2b8c2babf95005affb69c13f296e1830e1a373","schema_version":"1.0","event_id":"sha256:434ea0f2ad6966aad9c17bfb4c2b8c2babf95005affb69c13f296e1830e1a373"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:J23YI5V4WAHVF5TQWZLR65TQNE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Partial Reinitialisation for Optimisers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE","math.OC"],"primary_cat":"stat.ML","authors_text":"Ethan Brown, Ilia Zintchenko, Matthew Hastings, Matthias Troyer, Nathan Wiebe","submitted_at":"2015-12-09T20:08:43Z","abstract_excerpt":"Heuristic optimisers which search for an optimal configuration of variables relative to an objective function often get stuck in local optima where the algorithm is unable to find further improvement. The standard approach to circumvent this problem involves periodically restarting the algorithm from random initial configurations when no further improvement can be found. We propose a method of partial reinitialization, whereby, in an attempt to find a better solution, only sub-sets of variables are re-initialised rather than the whole configuration. Much of the information gained from previous"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.03025","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":"2026-05-18T01:24:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RVUUYjKOUMCshObWBYp3bLWf4mTNT2eL8j/OvgsBcRjVz2GTDgGs4HdVD86Hd2mp1T9nIaJy7gdY4x66ShMhAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:49:24.283097Z"},"content_sha256":"a42ee7bc98e9495a17dd896fb00befc89797c403043555a4b11b68e7dad79b14","schema_version":"1.0","event_id":"sha256:a42ee7bc98e9495a17dd896fb00befc89797c403043555a4b11b68e7dad79b14"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J23YI5V4WAHVF5TQWZLR65TQNE/bundle.json","state_url":"https://pith.science/pith/J23YI5V4WAHVF5TQWZLR65TQNE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J23YI5V4WAHVF5TQWZLR65TQNE/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":"2026-05-26T14:49:24Z","links":{"resolver":"https://pith.science/pith/J23YI5V4WAHVF5TQWZLR65TQNE","bundle":"https://pith.science/pith/J23YI5V4WAHVF5TQWZLR65TQNE/bundle.json","state":"https://pith.science/pith/J23YI5V4WAHVF5TQWZLR65TQNE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J23YI5V4WAHVF5TQWZLR65TQNE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:J23YI5V4WAHVF5TQWZLR65TQNE","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":"aab67751f7af0bf1057cd9aa9ff3e15698a62ba7b8ac4a73576a92e2cd17b2ed","cross_cats_sorted":["cs.LG","cs.NE","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-12-09T20:08:43Z","title_canon_sha256":"ce927c43c00f9c6e3fa95f45730c1a0efa4774ce5ed4a26a6b43c7d6234b7bed"},"schema_version":"1.0","source":{"id":"1512.03025","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.03025","created_at":"2026-05-18T01:24:39Z"},{"alias_kind":"arxiv_version","alias_value":"1512.03025v1","created_at":"2026-05-18T01:24:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.03025","created_at":"2026-05-18T01:24:39Z"},{"alias_kind":"pith_short_12","alias_value":"J23YI5V4WAHV","created_at":"2026-05-18T12:29:27Z"},{"alias_kind":"pith_short_16","alias_value":"J23YI5V4WAHVF5TQ","created_at":"2026-05-18T12:29:27Z"},{"alias_kind":"pith_short_8","alias_value":"J23YI5V4","created_at":"2026-05-18T12:29:27Z"}],"graph_snapshots":[{"event_id":"sha256:a42ee7bc98e9495a17dd896fb00befc89797c403043555a4b11b68e7dad79b14","target":"graph","created_at":"2026-05-18T01:24:39Z","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":"Heuristic optimisers which search for an optimal configuration of variables relative to an objective function often get stuck in local optima where the algorithm is unable to find further improvement. The standard approach to circumvent this problem involves periodically restarting the algorithm from random initial configurations when no further improvement can be found. We propose a method of partial reinitialization, whereby, in an attempt to find a better solution, only sub-sets of variables are re-initialised rather than the whole configuration. Much of the information gained from previous","authors_text":"Ethan Brown, Ilia Zintchenko, Matthew Hastings, Matthias Troyer, Nathan Wiebe","cross_cats":["cs.LG","cs.NE","math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-12-09T20:08:43Z","title":"Partial Reinitialisation for Optimisers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.03025","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":"sha256:434ea0f2ad6966aad9c17bfb4c2b8c2babf95005affb69c13f296e1830e1a373","target":"record","created_at":"2026-05-18T01:24:39Z","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":"aab67751f7af0bf1057cd9aa9ff3e15698a62ba7b8ac4a73576a92e2cd17b2ed","cross_cats_sorted":["cs.LG","cs.NE","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-12-09T20:08:43Z","title_canon_sha256":"ce927c43c00f9c6e3fa95f45730c1a0efa4774ce5ed4a26a6b43c7d6234b7bed"},"schema_version":"1.0","source":{"id":"1512.03025","kind":"arxiv","version":1}},"canonical_sha256":"4eb78476bcb00f52f670b6571f76706927fe23a2775de5580471f06dfd955888","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4eb78476bcb00f52f670b6571f76706927fe23a2775de5580471f06dfd955888","first_computed_at":"2026-05-18T01:24:39.024597Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:24:39.024597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AtN7qCrbo100c3Xz9+rwjGLEHct5+c3joD9aMb9iJd4QSZVws2qJ5hKB/BOfEouTmu553NSY7IPGp0tTDDsFDg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:24:39.024971Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.03025","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:434ea0f2ad6966aad9c17bfb4c2b8c2babf95005affb69c13f296e1830e1a373","sha256:a42ee7bc98e9495a17dd896fb00befc89797c403043555a4b11b68e7dad79b14"],"state_sha256":"dc6859b4497d0371414dbae1fe799a68ecfb136de82d32f0427a87247d41944b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aeBrHqBtt5olRos1RvXy02hMBTEqv7GXUQSkXuc3w5/q2lBC5XPhP7wAah+gsSSX9mxvLeebfAN9eEoaUx6JBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T14:49:24.285764Z","bundle_sha256":"d80bb895c214b59797e12d091525875d67e92c6a7b44408da6ef57b6eef49355"}}