{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:7PJKQQYWATGRRESGA32HVGQETK","short_pith_number":"pith:7PJKQQYW","canonical_record":{"source":{"id":"1603.05191","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-16T17:50:33Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"7391aa85b4523ab2beb939f94acd3ac742d8944af3a3e95376c11b16dce65753","abstract_canon_sha256":"dca070b53f31adff318bfbd167be57d900d206ba3f537f5eb4a379982bb4ba5f"},"schema_version":"1.0"},"canonical_sha256":"fbd2a8431604cd18924606f47a9a049ab3d8067aad247ae77e159faeffa60448","source":{"kind":"arxiv","id":"1603.05191","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.05191","created_at":"2026-05-18T01:18:57Z"},{"alias_kind":"arxiv_version","alias_value":"1603.05191v1","created_at":"2026-05-18T01:18:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.05191","created_at":"2026-05-18T01:18:57Z"},{"alias_kind":"pith_short_12","alias_value":"7PJKQQYWATGR","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_16","alias_value":"7PJKQQYWATGRRESG","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_8","alias_value":"7PJKQQYW","created_at":"2026-05-18T12:30:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:7PJKQQYWATGRRESGA32HVGQETK","target":"record","payload":{"canonical_record":{"source":{"id":"1603.05191","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-16T17:50:33Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"7391aa85b4523ab2beb939f94acd3ac742d8944af3a3e95376c11b16dce65753","abstract_canon_sha256":"dca070b53f31adff318bfbd167be57d900d206ba3f537f5eb4a379982bb4ba5f"},"schema_version":"1.0"},"canonical_sha256":"fbd2a8431604cd18924606f47a9a049ab3d8067aad247ae77e159faeffa60448","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:18:57.898094Z","signature_b64":"Y6+6qUxtUKS6QwWm0imvO5Qv5gW5k9FefsHi0tYG0dWHgKi4veePRUwooSAXxV1z24R8eWxQTnTZIOKo316SBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fbd2a8431604cd18924606f47a9a049ab3d8067aad247ae77e159faeffa60448","last_reissued_at":"2026-05-18T01:18:57.897673Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:18:57.897673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1603.05191","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":"2026-05-18T01:18:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fOaTZMhuGtbH9m2JQWGiPb9Yf3hyA9Ozqt386biiJYBplq8mj0fSq3+o0jpbqJow47+cVm5utRBNYohwgWorDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T21:28:43.636256Z"},"content_sha256":"cea82ce92b6af652cec07567c82a71dbb64d13a4e4cc61a87bf17dadde95fd45","schema_version":"1.0","event_id":"sha256:cea82ce92b6af652cec07567c82a71dbb64d13a4e4cc61a87bf17dadde95fd45"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:7PJKQQYWATGRRESGA32HVGQETK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distributed Inexact Damped Newton Method: Data Partitioning and Load-Balancing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.LG","authors_text":"Chenxin Ma, Martin Tak\\'a\\v{c}","submitted_at":"2016-03-16T17:50:33Z","abstract_excerpt":"In this paper we study inexact dumped Newton method implemented in a distributed environment. We start with an original DiSCO algorithm [Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss, Yuchen Zhang and Lin Xiao, 2015]. We will show that this algorithm may not scale well and propose an algorithmic modifications which will lead to less communications, better load-balancing and more efficient computation. We perform numerical experiments with an regularized empirical loss minimization instance described by a 273GB dataset."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.05191","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":"2026-05-18T01:18:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PjblpN/VWi8BADroHYhLoYmeMiBUxAz75ibsE0Fr7iraohZUfzi27lpSzyNFs+go2R0I+V0vukhxaYw8ufeeAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T21:28:43.636611Z"},"content_sha256":"466af43561edb2d3c4e485a99e877a6e67fcec782075a0bf188179648962c364","schema_version":"1.0","event_id":"sha256:466af43561edb2d3c4e485a99e877a6e67fcec782075a0bf188179648962c364"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7PJKQQYWATGRRESGA32HVGQETK/bundle.json","state_url":"https://pith.science/pith/7PJKQQYWATGRRESGA32HVGQETK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7PJKQQYWATGRRESGA32HVGQETK/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":"2026-06-05T21:28:43Z","links":{"resolver":"https://pith.science/pith/7PJKQQYWATGRRESGA32HVGQETK","bundle":"https://pith.science/pith/7PJKQQYWATGRRESGA32HVGQETK/bundle.json","state":"https://pith.science/pith/7PJKQQYWATGRRESGA32HVGQETK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7PJKQQYWATGRRESGA32HVGQETK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:7PJKQQYWATGRRESGA32HVGQETK","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":"dca070b53f31adff318bfbd167be57d900d206ba3f537f5eb4a379982bb4ba5f","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-16T17:50:33Z","title_canon_sha256":"7391aa85b4523ab2beb939f94acd3ac742d8944af3a3e95376c11b16dce65753"},"schema_version":"1.0","source":{"id":"1603.05191","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.05191","created_at":"2026-05-18T01:18:57Z"},{"alias_kind":"arxiv_version","alias_value":"1603.05191v1","created_at":"2026-05-18T01:18:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.05191","created_at":"2026-05-18T01:18:57Z"},{"alias_kind":"pith_short_12","alias_value":"7PJKQQYWATGR","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_16","alias_value":"7PJKQQYWATGRRESG","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_8","alias_value":"7PJKQQYW","created_at":"2026-05-18T12:30:04Z"}],"graph_snapshots":[{"event_id":"sha256:466af43561edb2d3c4e485a99e877a6e67fcec782075a0bf188179648962c364","target":"graph","created_at":"2026-05-18T01:18:57Z","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":"In this paper we study inexact dumped Newton method implemented in a distributed environment. We start with an original DiSCO algorithm [Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss, Yuchen Zhang and Lin Xiao, 2015]. We will show that this algorithm may not scale well and propose an algorithmic modifications which will lead to less communications, better load-balancing and more efficient computation. We perform numerical experiments with an regularized empirical loss minimization instance described by a 273GB dataset.","authors_text":"Chenxin Ma, Martin Tak\\'a\\v{c}","cross_cats":["math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-16T17:50:33Z","title":"Distributed Inexact Damped Newton Method: Data Partitioning and Load-Balancing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.05191","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:cea82ce92b6af652cec07567c82a71dbb64d13a4e4cc61a87bf17dadde95fd45","target":"record","created_at":"2026-05-18T01:18:57Z","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":"dca070b53f31adff318bfbd167be57d900d206ba3f537f5eb4a379982bb4ba5f","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-16T17:50:33Z","title_canon_sha256":"7391aa85b4523ab2beb939f94acd3ac742d8944af3a3e95376c11b16dce65753"},"schema_version":"1.0","source":{"id":"1603.05191","kind":"arxiv","version":1}},"canonical_sha256":"fbd2a8431604cd18924606f47a9a049ab3d8067aad247ae77e159faeffa60448","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fbd2a8431604cd18924606f47a9a049ab3d8067aad247ae77e159faeffa60448","first_computed_at":"2026-05-18T01:18:57.897673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:18:57.897673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y6+6qUxtUKS6QwWm0imvO5Qv5gW5k9FefsHi0tYG0dWHgKi4veePRUwooSAXxV1z24R8eWxQTnTZIOKo316SBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:18:57.898094Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.05191","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cea82ce92b6af652cec07567c82a71dbb64d13a4e4cc61a87bf17dadde95fd45","sha256:466af43561edb2d3c4e485a99e877a6e67fcec782075a0bf188179648962c364"],"state_sha256":"ff097f8a06f0d5b44f1ab4e9c170f6852ac7fa342f76975dddca169ba5b7a967"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4tdydpXrvYEdTRpaQa2drCwzDEsaVC+CbmiHGs9dN15kLQRJ+Y6LVtVwSF/JlCVIIifANxTNdpxXxMObU6vgDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T21:28:43.639235Z","bundle_sha256":"497544a07bfa1c10af2d2b56a54148d2dbeed87cb17932c33614bdd5cd6ea4e3"}}