{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:QON4NZS5W7XOTAW4HLMNVQQFEE","short_pith_number":"pith:QON4NZS5","canonical_record":{"source":{"id":"1708.03053","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-08-10T02:04:08Z","cross_cats_sorted":[],"title_canon_sha256":"80cc562dfda6a355ecaf7647c10547345f320b03dc14c19951212650559216dd","abstract_canon_sha256":"4fc6b618e56a614d7d44586b96ed877bce7da027f3014dc90bab32a8baba01d9"},"schema_version":"1.0"},"canonical_sha256":"839bc6e65db7eee982dc3ad8dac205210bc7713a45bb1f44d2b17c22b9597e0c","source":{"kind":"arxiv","id":"1708.03053","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.03053","created_at":"2026-05-18T00:38:15Z"},{"alias_kind":"arxiv_version","alias_value":"1708.03053v1","created_at":"2026-05-18T00:38:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.03053","created_at":"2026-05-18T00:38:15Z"},{"alias_kind":"pith_short_12","alias_value":"QON4NZS5W7XO","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QON4NZS5W7XOTAW4","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QON4NZS5","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:QON4NZS5W7XOTAW4HLMNVQQFEE","target":"record","payload":{"canonical_record":{"source":{"id":"1708.03053","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-08-10T02:04:08Z","cross_cats_sorted":[],"title_canon_sha256":"80cc562dfda6a355ecaf7647c10547345f320b03dc14c19951212650559216dd","abstract_canon_sha256":"4fc6b618e56a614d7d44586b96ed877bce7da027f3014dc90bab32a8baba01d9"},"schema_version":"1.0"},"canonical_sha256":"839bc6e65db7eee982dc3ad8dac205210bc7713a45bb1f44d2b17c22b9597e0c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:38:15.077305Z","signature_b64":"nDcbK6iDWUqa1P50Nz3yNeasSBJoFKCJ44TDVuL/l2Ri3dwtAl32Qak//4ojVtaHMfWeZ/Ds9ndG5K6GyYosAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"839bc6e65db7eee982dc3ad8dac205210bc7713a45bb1f44d2b17c22b9597e0c","last_reissued_at":"2026-05-18T00:38:15.076562Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:38:15.076562Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.03053","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":"2026-05-18T00:38:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ndIQBSt/KT8HTls7Gc3opWNZIQPzNWFabO6mBEz7wbyE18AhWH6IUFf9pug3jJPclt/jVPzIlCH60SDI7P6KAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:39:06.084048Z"},"content_sha256":"37b50a4205813d14b0eca5f934d4fef1a3fd26e5a62f6f6c4d35d3e2bdcffa50","schema_version":"1.0","event_id":"sha256:37b50a4205813d14b0eca5f934d4fef1a3fd26e5a62f6f6c4d35d3e2bdcffa50"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:QON4NZS5W7XOTAW4HLMNVQQFEE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Application Level High Speed Transfer Optimization Based on Historical Analysis and Real-time Tuning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Engin Arslan, Tevfik Kosar","submitted_at":"2017-08-10T02:04:08Z","abstract_excerpt":"Data-intensive scientific and commercial applications increasingly require frequent movement of large datasets from one site to the other(s). Despite growing network capacities, these data movements rarely achieve the promised data transfer rates of the underlying physical network due to poorly tuned data transfer protocols. Accurately and efficiently tuning the data transfer protocol parameters in a dynamically changing network environment is a major challenge and remains as an open research problem. In this paper, we present predictive end-to-end data transfer optimization algorithms based o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.03053","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":"2026-05-18T00:38:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bOFt4BTMwHPHnYcXNTqgv8Dqo2dggm5m1LwFS0tATrNadMQSL6McE611sPIbg2qwS9v6HGBHv3P2vmGvfs17Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:39:06.084408Z"},"content_sha256":"8c1386a9e32958f7befb6a6cbf1eb7b31c8c9acb4f475b50372590e374beab16","schema_version":"1.0","event_id":"sha256:8c1386a9e32958f7befb6a6cbf1eb7b31c8c9acb4f475b50372590e374beab16"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QON4NZS5W7XOTAW4HLMNVQQFEE/bundle.json","state_url":"https://pith.science/pith/QON4NZS5W7XOTAW4HLMNVQQFEE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QON4NZS5W7XOTAW4HLMNVQQFEE/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":"2026-05-28T12:39:06Z","links":{"resolver":"https://pith.science/pith/QON4NZS5W7XOTAW4HLMNVQQFEE","bundle":"https://pith.science/pith/QON4NZS5W7XOTAW4HLMNVQQFEE/bundle.json","state":"https://pith.science/pith/QON4NZS5W7XOTAW4HLMNVQQFEE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QON4NZS5W7XOTAW4HLMNVQQFEE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QON4NZS5W7XOTAW4HLMNVQQFEE","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":"4fc6b618e56a614d7d44586b96ed877bce7da027f3014dc90bab32a8baba01d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-08-10T02:04:08Z","title_canon_sha256":"80cc562dfda6a355ecaf7647c10547345f320b03dc14c19951212650559216dd"},"schema_version":"1.0","source":{"id":"1708.03053","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.03053","created_at":"2026-05-18T00:38:15Z"},{"alias_kind":"arxiv_version","alias_value":"1708.03053v1","created_at":"2026-05-18T00:38:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.03053","created_at":"2026-05-18T00:38:15Z"},{"alias_kind":"pith_short_12","alias_value":"QON4NZS5W7XO","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QON4NZS5W7XOTAW4","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QON4NZS5","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:8c1386a9e32958f7befb6a6cbf1eb7b31c8c9acb4f475b50372590e374beab16","target":"graph","created_at":"2026-05-18T00:38:15Z","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":"Data-intensive scientific and commercial applications increasingly require frequent movement of large datasets from one site to the other(s). Despite growing network capacities, these data movements rarely achieve the promised data transfer rates of the underlying physical network due to poorly tuned data transfer protocols. Accurately and efficiently tuning the data transfer protocol parameters in a dynamically changing network environment is a major challenge and remains as an open research problem. In this paper, we present predictive end-to-end data transfer optimization algorithms based o","authors_text":"Engin Arslan, Tevfik Kosar","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-08-10T02:04:08Z","title":"Application Level High Speed Transfer Optimization Based on Historical Analysis and Real-time Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.03053","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":"sha256:37b50a4205813d14b0eca5f934d4fef1a3fd26e5a62f6f6c4d35d3e2bdcffa50","target":"record","created_at":"2026-05-18T00:38:15Z","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":"4fc6b618e56a614d7d44586b96ed877bce7da027f3014dc90bab32a8baba01d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-08-10T02:04:08Z","title_canon_sha256":"80cc562dfda6a355ecaf7647c10547345f320b03dc14c19951212650559216dd"},"schema_version":"1.0","source":{"id":"1708.03053","kind":"arxiv","version":1}},"canonical_sha256":"839bc6e65db7eee982dc3ad8dac205210bc7713a45bb1f44d2b17c22b9597e0c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"839bc6e65db7eee982dc3ad8dac205210bc7713a45bb1f44d2b17c22b9597e0c","first_computed_at":"2026-05-18T00:38:15.076562Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:38:15.076562Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nDcbK6iDWUqa1P50Nz3yNeasSBJoFKCJ44TDVuL/l2Ri3dwtAl32Qak//4ojVtaHMfWeZ/Ds9ndG5K6GyYosAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:38:15.077305Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.03053","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37b50a4205813d14b0eca5f934d4fef1a3fd26e5a62f6f6c4d35d3e2bdcffa50","sha256:8c1386a9e32958f7befb6a6cbf1eb7b31c8c9acb4f475b50372590e374beab16"],"state_sha256":"967ee6b691dd21e2ff5ea0d255b1909977b7ebfaa29cf9ff0928fb7630efada8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4JJuBsTreexYXLBcorArEpQkZi4WLIvNiXN+VTNbWHvV49c8vRumZXQJDEIZwOm18HRylNuJHI8QTV6L9inwBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T12:39:06.086378Z","bundle_sha256":"ecd34ba8ce6cf1c8dc43eaf4e32a4b70c5b6261b66a9e8a835157c0174191c02"}}