{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:Z22YHB24EGDPVNPHFPBPVETAOG","short_pith_number":"pith:Z22YHB24","canonical_record":{"source":{"id":"1708.03074","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-08-10T04:33:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"12b327127ddd28f5acba68ad04b0f851359544b4b8e4fbae3411d3021c5dee4e","abstract_canon_sha256":"4fb65b9db39940b52932357922c144f2f50d534acbfb2fefb6cb99b3ebc155b8"},"schema_version":"1.0"},"canonical_sha256":"ceb583875c2186fab5e72bc2fa9260718b2a854ba289a303aca8c451a1279a67","source":{"kind":"arxiv","id":"1708.03074","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.03074","created_at":"2026-05-18T00:30:50Z"},{"alias_kind":"arxiv_version","alias_value":"1708.03074v2","created_at":"2026-05-18T00:30:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.03074","created_at":"2026-05-18T00:30:50Z"},{"alias_kind":"pith_short_12","alias_value":"Z22YHB24EGDP","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"Z22YHB24EGDPVNPH","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"Z22YHB24","created_at":"2026-05-18T12:31:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:Z22YHB24EGDPVNPHFPBPVETAOG","target":"record","payload":{"canonical_record":{"source":{"id":"1708.03074","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-08-10T04:33:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"12b327127ddd28f5acba68ad04b0f851359544b4b8e4fbae3411d3021c5dee4e","abstract_canon_sha256":"4fb65b9db39940b52932357922c144f2f50d534acbfb2fefb6cb99b3ebc155b8"},"schema_version":"1.0"},"canonical_sha256":"ceb583875c2186fab5e72bc2fa9260718b2a854ba289a303aca8c451a1279a67","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:30:50.555289Z","signature_b64":"aKuPNymu1gShq/sfoDS7wnpt4G3+jKxN2FoUkZAL175LbaWpu/ewkB9lRIBx0k3LNif1cFFixRz3e4BXXtpKDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ceb583875c2186fab5e72bc2fa9260718b2a854ba289a303aca8c451a1279a67","last_reissued_at":"2026-05-18T00:30:50.554658Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:30:50.554658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.03074","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:30:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"brMrFImi2qNRZzKKRSvO966As1vmgZKtItQz9qT12k/E/ORiaUDztoAa/ecnzJDdGBW+sZiJ+gv6xHYY+AoTBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T17:18:34.784948Z"},"content_sha256":"b072b58ffbe1fda410bb8ef13680cb7e494ff4ba502032262004c8311fa8bf06","schema_version":"1.0","event_id":"sha256:b072b58ffbe1fda410bb8ef13680cb7e494ff4ba502032262004c8311fa8bf06"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:Z22YHB24EGDPVNPHFPBPVETAOG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Machine Learning Approach to Routing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.NI","authors_text":"Asaf Valadarsky, Aviv Tamar, Dafna Shahaf, Michael Schapira","submitted_at":"2017-08-10T04:33:09Z","abstract_excerpt":"Can ideas and techniques from machine learning be leveraged to automatically generate \"good\" routing configurations? We investigate the power of data-driven routing protocols. Our results suggest that applying ideas and techniques from deep reinforcement learning to this context yields high performance, motivating further research along these lines."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.03074","kind":"arxiv","version":2},"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":"2026-05-18T00:30:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/and/aQ7tQwv2w7u2aefDRgZwGrQZZNF9AMaRpCJkdqhUHwrbf+CkqYNTFDz/qdlbNuWAUXZpITzzeyhmvB0BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T17:18:34.785609Z"},"content_sha256":"7421387e3c847940a66607f17c7bcc903c7da840fcfb0f3897a0409ddac97664","schema_version":"1.0","event_id":"sha256:7421387e3c847940a66607f17c7bcc903c7da840fcfb0f3897a0409ddac97664"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z22YHB24EGDPVNPHFPBPVETAOG/bundle.json","state_url":"https://pith.science/pith/Z22YHB24EGDPVNPHFPBPVETAOG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z22YHB24EGDPVNPHFPBPVETAOG/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":"2026-06-08T17:18:34Z","links":{"resolver":"https://pith.science/pith/Z22YHB24EGDPVNPHFPBPVETAOG","bundle":"https://pith.science/pith/Z22YHB24EGDPVNPHFPBPVETAOG/bundle.json","state":"https://pith.science/pith/Z22YHB24EGDPVNPHFPBPVETAOG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z22YHB24EGDPVNPHFPBPVETAOG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:Z22YHB24EGDPVNPHFPBPVETAOG","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":"4fb65b9db39940b52932357922c144f2f50d534acbfb2fefb6cb99b3ebc155b8","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-08-10T04:33:09Z","title_canon_sha256":"12b327127ddd28f5acba68ad04b0f851359544b4b8e4fbae3411d3021c5dee4e"},"schema_version":"1.0","source":{"id":"1708.03074","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.03074","created_at":"2026-05-18T00:30:50Z"},{"alias_kind":"arxiv_version","alias_value":"1708.03074v2","created_at":"2026-05-18T00:30:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.03074","created_at":"2026-05-18T00:30:50Z"},{"alias_kind":"pith_short_12","alias_value":"Z22YHB24EGDP","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"Z22YHB24EGDPVNPH","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"Z22YHB24","created_at":"2026-05-18T12:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:7421387e3c847940a66607f17c7bcc903c7da840fcfb0f3897a0409ddac97664","target":"graph","created_at":"2026-05-18T00:30:50Z","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":"Can ideas and techniques from machine learning be leveraged to automatically generate \"good\" routing configurations? We investigate the power of data-driven routing protocols. Our results suggest that applying ideas and techniques from deep reinforcement learning to this context yields high performance, motivating further research along these lines.","authors_text":"Asaf Valadarsky, Aviv Tamar, Dafna Shahaf, Michael Schapira","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-08-10T04:33:09Z","title":"A Machine Learning Approach to Routing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.03074","kind":"arxiv","version":2},"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:b072b58ffbe1fda410bb8ef13680cb7e494ff4ba502032262004c8311fa8bf06","target":"record","created_at":"2026-05-18T00:30:50Z","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":"4fb65b9db39940b52932357922c144f2f50d534acbfb2fefb6cb99b3ebc155b8","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-08-10T04:33:09Z","title_canon_sha256":"12b327127ddd28f5acba68ad04b0f851359544b4b8e4fbae3411d3021c5dee4e"},"schema_version":"1.0","source":{"id":"1708.03074","kind":"arxiv","version":2}},"canonical_sha256":"ceb583875c2186fab5e72bc2fa9260718b2a854ba289a303aca8c451a1279a67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ceb583875c2186fab5e72bc2fa9260718b2a854ba289a303aca8c451a1279a67","first_computed_at":"2026-05-18T00:30:50.554658Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:30:50.554658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aKuPNymu1gShq/sfoDS7wnpt4G3+jKxN2FoUkZAL175LbaWpu/ewkB9lRIBx0k3LNif1cFFixRz3e4BXXtpKDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:30:50.555289Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.03074","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b072b58ffbe1fda410bb8ef13680cb7e494ff4ba502032262004c8311fa8bf06","sha256:7421387e3c847940a66607f17c7bcc903c7da840fcfb0f3897a0409ddac97664"],"state_sha256":"82f808f797d3d900020f2eb0d0bc88f553d40e6689b6f4456ce4608e3f47f324"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F8lh3SKW0b7RWxW03sxjJMiqcLkh+5ur6/IKSCsb5SBNw3tUUcmkbcZdW+SYEP3Kuix84b3JS3PePAsQVvYlCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T17:18:34.789182Z","bundle_sha256":"f2bf1a9174cd64f8248a4bfe413f3e1668b57ff7d6519996ab292300980bf06a"}}