{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:WOAHHYWFVJMNG6RF7EVYQ3LZQK","short_pith_number":"pith:WOAHHYWF","canonical_record":{"source":{"id":"1704.04560","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-04-15T00:15:10Z","cross_cats_sorted":[],"title_canon_sha256":"b84b2917087581fe6a902426e77d1e778adb68f3312a1348fa918f79d79d4771","abstract_canon_sha256":"d8a70b86c0f5be6b01696052b781578217326d358b210412dd58fc8232d6f956"},"schema_version":"1.0"},"canonical_sha256":"b38073e2c5aa58d37a25f92b886d7982b23a7999fabb865b5b3621e877738ef3","source":{"kind":"arxiv","id":"1704.04560","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.04560","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"arxiv_version","alias_value":"1704.04560v1","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.04560","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"pith_short_12","alias_value":"WOAHHYWFVJMN","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WOAHHYWFVJMNG6RF","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WOAHHYWF","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:WOAHHYWFVJMNG6RF7EVYQ3LZQK","target":"record","payload":{"canonical_record":{"source":{"id":"1704.04560","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-04-15T00:15:10Z","cross_cats_sorted":[],"title_canon_sha256":"b84b2917087581fe6a902426e77d1e778adb68f3312a1348fa918f79d79d4771","abstract_canon_sha256":"d8a70b86c0f5be6b01696052b781578217326d358b210412dd58fc8232d6f956"},"schema_version":"1.0"},"canonical_sha256":"b38073e2c5aa58d37a25f92b886d7982b23a7999fabb865b5b3621e877738ef3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:18.179334Z","signature_b64":"1mUfDTaRaKkwzh5xK4QWRCWxq3EH9bC1psCVVGcliG8VsNJGij/CjqjZupTZLe9wTQbo6sna5F0iRJH+q8pMCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b38073e2c5aa58d37a25f92b886d7982b23a7999fabb865b5b3621e877738ef3","last_reissued_at":"2026-05-18T00:46:18.178972Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:18.178972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.04560","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":"2026-05-18T00:46:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bUIOSO7qYDZyFk8r672rwDvH+JJmOO4M/ugo5FhbapRIlvGc5WfMS5G0Tl9pbP8Tjd0y4pVqsN8q9P17bwHbAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T09:23:42.395414Z"},"content_sha256":"bc78451e83fb419d9334d588e0180814114e368888ce3965fbbfe41d5a5143cb","schema_version":"1.0","event_id":"sha256:bc78451e83fb419d9334d588e0180814114e368888ce3965fbbfe41d5a5143cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:WOAHHYWFVJMNG6RF7EVYQ3LZQK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"User-transparent Distributed TensorFlow","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Abhinav Vishnu, Charles Siegel, Jeff Daily, Joseph Manzano","submitted_at":"2017-04-15T00:15:10Z","abstract_excerpt":"Deep Learning (DL) algorithms have become the {\\em de facto} choice for data analysis. Several DL implementations -- primarily limited to a single compute node -- such as Caffe, TensorFlow, Theano and Torch have become readily available. Distributed DL implementations capable of execution on large scale systems are becoming important to address the computational needs of large data produced by scientific simulations and experiments. Yet, the adoption of distributed DL implementations faces significant impediments: 1) most implementations require DL analysts to modify their code significantly -"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.04560","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":"2026-05-18T00:46:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S0a663KkRvWwlca8RfivSIvXPZ/L/GmfnBgYAUQ1WZRtq9Aj6ujP9abYUEZaM4QG2YFgpfFNlkaL2CAJB63cAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T09:23:42.395760Z"},"content_sha256":"a2dfbeacf9b6d9adb98a7b5d9d053d6d90c316a80843defe60c10ec1c8f9bc70","schema_version":"1.0","event_id":"sha256:a2dfbeacf9b6d9adb98a7b5d9d053d6d90c316a80843defe60c10ec1c8f9bc70"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WOAHHYWFVJMNG6RF7EVYQ3LZQK/bundle.json","state_url":"https://pith.science/pith/WOAHHYWFVJMNG6RF7EVYQ3LZQK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WOAHHYWFVJMNG6RF7EVYQ3LZQK/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":"2026-06-03T09:23:42Z","links":{"resolver":"https://pith.science/pith/WOAHHYWFVJMNG6RF7EVYQ3LZQK","bundle":"https://pith.science/pith/WOAHHYWFVJMNG6RF7EVYQ3LZQK/bundle.json","state":"https://pith.science/pith/WOAHHYWFVJMNG6RF7EVYQ3LZQK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WOAHHYWFVJMNG6RF7EVYQ3LZQK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:WOAHHYWFVJMNG6RF7EVYQ3LZQK","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":"d8a70b86c0f5be6b01696052b781578217326d358b210412dd58fc8232d6f956","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-04-15T00:15:10Z","title_canon_sha256":"b84b2917087581fe6a902426e77d1e778adb68f3312a1348fa918f79d79d4771"},"schema_version":"1.0","source":{"id":"1704.04560","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.04560","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"arxiv_version","alias_value":"1704.04560v1","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.04560","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"pith_short_12","alias_value":"WOAHHYWFVJMN","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WOAHHYWFVJMNG6RF","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WOAHHYWF","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:a2dfbeacf9b6d9adb98a7b5d9d053d6d90c316a80843defe60c10ec1c8f9bc70","target":"graph","created_at":"2026-05-18T00:46:18Z","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":"Deep Learning (DL) algorithms have become the {\\em de facto} choice for data analysis. Several DL implementations -- primarily limited to a single compute node -- such as Caffe, TensorFlow, Theano and Torch have become readily available. Distributed DL implementations capable of execution on large scale systems are becoming important to address the computational needs of large data produced by scientific simulations and experiments. Yet, the adoption of distributed DL implementations faces significant impediments: 1) most implementations require DL analysts to modify their code significantly -","authors_text":"Abhinav Vishnu, Charles Siegel, Jeff Daily, Joseph Manzano","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-04-15T00:15:10Z","title":"User-transparent Distributed TensorFlow"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.04560","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:bc78451e83fb419d9334d588e0180814114e368888ce3965fbbfe41d5a5143cb","target":"record","created_at":"2026-05-18T00:46:18Z","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":"d8a70b86c0f5be6b01696052b781578217326d358b210412dd58fc8232d6f956","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-04-15T00:15:10Z","title_canon_sha256":"b84b2917087581fe6a902426e77d1e778adb68f3312a1348fa918f79d79d4771"},"schema_version":"1.0","source":{"id":"1704.04560","kind":"arxiv","version":1}},"canonical_sha256":"b38073e2c5aa58d37a25f92b886d7982b23a7999fabb865b5b3621e877738ef3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b38073e2c5aa58d37a25f92b886d7982b23a7999fabb865b5b3621e877738ef3","first_computed_at":"2026-05-18T00:46:18.178972Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:18.178972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1mUfDTaRaKkwzh5xK4QWRCWxq3EH9bC1psCVVGcliG8VsNJGij/CjqjZupTZLe9wTQbo6sna5F0iRJH+q8pMCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:18.179334Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.04560","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bc78451e83fb419d9334d588e0180814114e368888ce3965fbbfe41d5a5143cb","sha256:a2dfbeacf9b6d9adb98a7b5d9d053d6d90c316a80843defe60c10ec1c8f9bc70"],"state_sha256":"b86ee6f2cabd26bf0fd199529aa52b4841bd31bc740af0989e1de9233409e702"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y7vcaqUAfOr0uUGjiX9beNoPb/cGkG5B2eaOShi5+XTh9QnqScLrXudrt2QqaMYvMWpNuL1U7Mjefc/H4iK6DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T09:23:42.397612Z","bundle_sha256":"a329393d468619f53d3f4968dc056c99c6ace519d4f1147ea9265e95fb783622"}}