{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:TPWZL7DAPPUIIFU5TXIDVDHXUD","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":"9f8d35012f487e383f12d1469c705b7de7acd13788042dabfb540b79fd6c5134","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2018-07-23T14:49:45Z","title_canon_sha256":"5ce91ce7d7866394e138c97d0081537934632df14f82cce7525ac90a1a329ce7"},"schema_version":"1.0","source":{"id":"1807.08652","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.08652","created_at":"2026-05-18T00:10:05Z"},{"alias_kind":"arxiv_version","alias_value":"1807.08652v1","created_at":"2026-05-18T00:10:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.08652","created_at":"2026-05-18T00:10:05Z"},{"alias_kind":"pith_short_12","alias_value":"TPWZL7DAPPUI","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"TPWZL7DAPPUIIFU5","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"TPWZL7DA","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:689b41f1f81ed474022dbe51bffc7db75cdd6363b2441e46eecb405e3504d109","target":"graph","created_at":"2026-05-18T00:10:05Z","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":"Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer network modeling technique to build models that estimate the network performance. Indeed, network modeling is a central technique to many networking functions, for instance in the field of optimization, in which the model is used to search a configuration that satisfies the target policy. In this paper, we aim to provide an answer to the following question: Can neural networks accurately model the delay of a computer n","authors_text":"Albert Cabellos-Aparicio, Albert Mestres, Eduard Alarc\\'on, Yusheng Ji","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2018-07-23T14:49:45Z","title":"Understanding the Modeling of Computer Network Delays using Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.08652","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":"sha256:74fe865e0764560607beba6917d0465b69477f69a9c442d0e70ca4b4ee51adcb","target":"record","created_at":"2026-05-18T00:10:05Z","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":"9f8d35012f487e383f12d1469c705b7de7acd13788042dabfb540b79fd6c5134","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2018-07-23T14:49:45Z","title_canon_sha256":"5ce91ce7d7866394e138c97d0081537934632df14f82cce7525ac90a1a329ce7"},"schema_version":"1.0","source":{"id":"1807.08652","kind":"arxiv","version":1}},"canonical_sha256":"9bed95fc607be884169d9dd03a8cf7a0c3d7099f083178b7936b8805b2c61fb9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9bed95fc607be884169d9dd03a8cf7a0c3d7099f083178b7936b8805b2c61fb9","first_computed_at":"2026-05-18T00:10:05.177833Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:05.177833Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UrK90HFW1ulQVy5pvUMzmE52qfbgp5f7yliMXpC9X+Byh6CryuKOZOAfqXJTy6nnHTkI1RW/Js51Nqalx8+NBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:05.178405Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.08652","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74fe865e0764560607beba6917d0465b69477f69a9c442d0e70ca4b4ee51adcb","sha256:689b41f1f81ed474022dbe51bffc7db75cdd6363b2441e46eecb405e3504d109"],"state_sha256":"13cdb69f6f345a4cfca6f0da5dfadc849e6c13af497e013742ac6b961d32cba2"}