{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:PC5SEVFU3SFRDAAEXEJ3MPTXEQ","short_pith_number":"pith:PC5SEVFU","canonical_record":{"source":{"id":"1611.02944","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-11-09T14:27:03Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"a03b6e54f492ad963c085ce1972355d07f360533182135fa89af5178f7a57c95","abstract_canon_sha256":"14b2387e504a66d763503ff19332878157c7eb4fd128621253338d21a617ac0d"},"schema_version":"1.0"},"canonical_sha256":"78bb2254b4dc8b118004b913b63e77243ecee3d04341ad9319dc363d37d54dce","source":{"kind":"arxiv","id":"1611.02944","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.02944","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"arxiv_version","alias_value":"1611.02944v1","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.02944","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"pith_short_12","alias_value":"PC5SEVFU3SFR","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PC5SEVFU3SFRDAAE","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PC5SEVFU","created_at":"2026-05-18T12:30:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:PC5SEVFU3SFRDAAEXEJ3MPTXEQ","target":"record","payload":{"canonical_record":{"source":{"id":"1611.02944","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-11-09T14:27:03Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"a03b6e54f492ad963c085ce1972355d07f360533182135fa89af5178f7a57c95","abstract_canon_sha256":"14b2387e504a66d763503ff19332878157c7eb4fd128621253338d21a617ac0d"},"schema_version":"1.0"},"canonical_sha256":"78bb2254b4dc8b118004b913b63e77243ecee3d04341ad9319dc363d37d54dce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:59:43.063157Z","signature_b64":"KrFoV0MBBVgXGgcf4hht9TL9x8pwkGu+zcNrraiimqqG+JfwE9wMfnAI4U9xh3TwR7q+/teNc7KuyeAE2n44CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"78bb2254b4dc8b118004b913b63e77243ecee3d04341ad9319dc363d37d54dce","last_reissued_at":"2026-05-18T00:59:43.062640Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:59:43.062640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1611.02944","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":"2026-05-18T00:59:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g6nIRShiaXevMQI2w+JwWfADDUxYzxeSeJJ5lcSOGSRPPkGL5nSPEujS9Bjm1GukQ6fXkS+S4Z8yYqWYyje7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:24:28.750332Z"},"content_sha256":"ce63b28db4e4b7e6da964d02fd958365d1bf9813cbec8de518a12cd7c5c8994b","schema_version":"1.0","event_id":"sha256:ce63b28db4e4b7e6da964d02fd958365d1bf9813cbec8de518a12cd7c5c8994b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:PC5SEVFU3SFRDAAEXEJ3MPTXEQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Increasing the throughput of machine translation systems using clouds","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.CL","authors_text":"Andrej Brodnik, Jernej Vi\\v{c}i\\v{c}","submitted_at":"2016-11-09T14:27:03Z","abstract_excerpt":"The manuscript presents an experiment at implementation of a Machine Translation system in a MapReduce model. The empirical evaluation was done using fully implemented translation systems embedded into the MapReduce programming model. Two machine translation paradigms were studied: shallow transfer Rule Based Machine Translation and Statistical Machine Translation.\n  The results show that the MapReduce model can be successfully used to increase the throughput of a machine translation system. Furthermore this method enhances the throughput of a machine translation system without decreasing the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.02944","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":"2026-05-18T00:59:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MDVu3vQ2BQu1h0aFQZPPsIiiQl+t949+ZmZIv4+1uI8tmuBpTUUuXEVTy9UqfTiqDhmhQ7ezOEt8vfMslUqJDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:24:28.750695Z"},"content_sha256":"8853b4ac1337c04aaa1b79ed5f73c7acc5204922edbff069972fc9239f527bdb","schema_version":"1.0","event_id":"sha256:8853b4ac1337c04aaa1b79ed5f73c7acc5204922edbff069972fc9239f527bdb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PC5SEVFU3SFRDAAEXEJ3MPTXEQ/bundle.json","state_url":"https://pith.science/pith/PC5SEVFU3SFRDAAEXEJ3MPTXEQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PC5SEVFU3SFRDAAEXEJ3MPTXEQ/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":"2026-06-01T09:24:28Z","links":{"resolver":"https://pith.science/pith/PC5SEVFU3SFRDAAEXEJ3MPTXEQ","bundle":"https://pith.science/pith/PC5SEVFU3SFRDAAEXEJ3MPTXEQ/bundle.json","state":"https://pith.science/pith/PC5SEVFU3SFRDAAEXEJ3MPTXEQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PC5SEVFU3SFRDAAEXEJ3MPTXEQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:PC5SEVFU3SFRDAAEXEJ3MPTXEQ","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":"14b2387e504a66d763503ff19332878157c7eb4fd128621253338d21a617ac0d","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-11-09T14:27:03Z","title_canon_sha256":"a03b6e54f492ad963c085ce1972355d07f360533182135fa89af5178f7a57c95"},"schema_version":"1.0","source":{"id":"1611.02944","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.02944","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"arxiv_version","alias_value":"1611.02944v1","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.02944","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"pith_short_12","alias_value":"PC5SEVFU3SFR","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PC5SEVFU3SFRDAAE","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PC5SEVFU","created_at":"2026-05-18T12:30:39Z"}],"graph_snapshots":[{"event_id":"sha256:8853b4ac1337c04aaa1b79ed5f73c7acc5204922edbff069972fc9239f527bdb","target":"graph","created_at":"2026-05-18T00:59:43Z","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":"The manuscript presents an experiment at implementation of a Machine Translation system in a MapReduce model. The empirical evaluation was done using fully implemented translation systems embedded into the MapReduce programming model. Two machine translation paradigms were studied: shallow transfer Rule Based Machine Translation and Statistical Machine Translation.\n  The results show that the MapReduce model can be successfully used to increase the throughput of a machine translation system. Furthermore this method enhances the throughput of a machine translation system without decreasing the ","authors_text":"Andrej Brodnik, Jernej Vi\\v{c}i\\v{c}","cross_cats":["cs.DC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-11-09T14:27:03Z","title":"Increasing the throughput of machine translation systems using clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.02944","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:ce63b28db4e4b7e6da964d02fd958365d1bf9813cbec8de518a12cd7c5c8994b","target":"record","created_at":"2026-05-18T00:59:43Z","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":"14b2387e504a66d763503ff19332878157c7eb4fd128621253338d21a617ac0d","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-11-09T14:27:03Z","title_canon_sha256":"a03b6e54f492ad963c085ce1972355d07f360533182135fa89af5178f7a57c95"},"schema_version":"1.0","source":{"id":"1611.02944","kind":"arxiv","version":1}},"canonical_sha256":"78bb2254b4dc8b118004b913b63e77243ecee3d04341ad9319dc363d37d54dce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78bb2254b4dc8b118004b913b63e77243ecee3d04341ad9319dc363d37d54dce","first_computed_at":"2026-05-18T00:59:43.062640Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:59:43.062640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KrFoV0MBBVgXGgcf4hht9TL9x8pwkGu+zcNrraiimqqG+JfwE9wMfnAI4U9xh3TwR7q+/teNc7KuyeAE2n44CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:59:43.063157Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.02944","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce63b28db4e4b7e6da964d02fd958365d1bf9813cbec8de518a12cd7c5c8994b","sha256:8853b4ac1337c04aaa1b79ed5f73c7acc5204922edbff069972fc9239f527bdb"],"state_sha256":"4cd2e74c0f9fad019769429c9204430405800d27e7a78e08922638a04f911bc0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jcI+J3NorJWSuHudZglCcHmqomtX9jLdBlCmsk1M2u2AMER4ERdx4pwK7WWWcSs9Cj7Cv2x8iWBz9zttGjnMCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T09:24:28.752681Z","bundle_sha256":"253f0ac338f8f1b66fa2b62c2b25da34b4d13e8b13ac39cc5e94428cfa4f6d4c"}}