{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:MGV6CB5PQCQURU24N3YOCTWY4Q","short_pith_number":"pith:MGV6CB5P","canonical_record":{"source":{"id":"2107.00555","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2021-07-01T15:51:18Z","cross_cats_sorted":["cs.DC","cs.PF"],"title_canon_sha256":"60eb88a624251178d5f209fb0ed67087dd0cce70fd2e0c80feef3f82e4f3f5d7","abstract_canon_sha256":"032aeda5c7f8a8a4d23213d8b97e71268ca9067659b75452795fab049ebc6c00"},"schema_version":"1.0"},"canonical_sha256":"61abe107af80a148d35c6ef0e14ed8e42ae5304d5839bf4723b8f75f584ae253","source":{"kind":"arxiv","id":"2107.00555","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.00555","created_at":"2026-07-05T03:07:50Z"},{"alias_kind":"arxiv_version","alias_value":"2107.00555v2","created_at":"2026-07-05T03:07:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.00555","created_at":"2026-07-05T03:07:50Z"},{"alias_kind":"pith_short_12","alias_value":"MGV6CB5PQCQU","created_at":"2026-07-05T03:07:50Z"},{"alias_kind":"pith_short_16","alias_value":"MGV6CB5PQCQURU24","created_at":"2026-07-05T03:07:50Z"},{"alias_kind":"pith_short_8","alias_value":"MGV6CB5P","created_at":"2026-07-05T03:07:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:MGV6CB5PQCQURU24N3YOCTWY4Q","target":"record","payload":{"canonical_record":{"source":{"id":"2107.00555","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2021-07-01T15:51:18Z","cross_cats_sorted":["cs.DC","cs.PF"],"title_canon_sha256":"60eb88a624251178d5f209fb0ed67087dd0cce70fd2e0c80feef3f82e4f3f5d7","abstract_canon_sha256":"032aeda5c7f8a8a4d23213d8b97e71268ca9067659b75452795fab049ebc6c00"},"schema_version":"1.0"},"canonical_sha256":"61abe107af80a148d35c6ef0e14ed8e42ae5304d5839bf4723b8f75f584ae253","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:07:50.429724Z","signature_b64":"Zsby3Kn6X1EyvaRuPyOi0k8V6DUfH5MZwahwlp0zOSRZXxVBUajRaIrpHxOHnHgxU33Z3OeZ8rYlR7WMLh3xDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61abe107af80a148d35c6ef0e14ed8e42ae5304d5839bf4723b8f75f584ae253","last_reissued_at":"2026-07-05T03:07:50.429138Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:07:50.429138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.00555","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":"2026-07-05T03:07:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/igzcVhBC1XETVXkH1vaXLMoGZ2aMMD4AIMcfs3W68Ib3EAWRwprdEc52OX8SI59uODW5ytudLVeNoyrj5qHBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:55:31.159674Z"},"content_sha256":"72fc790d807c17912dded84644241a1a97fca6d80e5ee6664bb3ed3a409bc497","schema_version":"1.0","event_id":"sha256:72fc790d807c17912dded84644241a1a97fca6d80e5ee6664bb3ed3a409bc497"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:MGV6CB5PQCQURU24N3YOCTWY4Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Productivity, Portability, Performance: Data-Centric Python","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC","cs.PF"],"primary_cat":"cs.PL","authors_text":"Alexandros Nikolaos Ziogas, Alexandru Calotoiu, Johannes De Fine Licht, Luca Lavarini, Tal Ben-Nun, Timo Schneider, Tiziano De Matteis, Torsten Hoefler","submitted_at":"2021-07-01T15:51:18Z","abstract_excerpt":"Python has become the de facto language for scientific computing. Programming in Python is highly productive, mainly due to its rich science-oriented software ecosystem built around the NumPy module. As a result, the demand for Python support in High Performance Computing (HPC) has skyrocketed. However, the Python language itself does not necessarily offer high performance. In this work, we present a workflow that retains Python's high productivity while achieving portable performance across different architectures. The workflow's key features are HPC-oriented language extensions and a set of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.00555","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2107.00555/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T03:07:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j/pOac1WGSw6xZ5rQR1h3Z04zT172m6JMxBHjnygoHvE0MZALIpOhGa8WfKguXAOUsvfvcuhUTy7P3KKetsCAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:55:31.160194Z"},"content_sha256":"7506c6b5dc3e1f032387c0b984aca714fe26e90ba8bbf43f216db026ef107f13","schema_version":"1.0","event_id":"sha256:7506c6b5dc3e1f032387c0b984aca714fe26e90ba8bbf43f216db026ef107f13"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MGV6CB5PQCQURU24N3YOCTWY4Q/bundle.json","state_url":"https://pith.science/pith/MGV6CB5PQCQURU24N3YOCTWY4Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MGV6CB5PQCQURU24N3YOCTWY4Q/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":"2026-08-17T12:55:31Z","links":{"resolver":"https://pith.science/pith/MGV6CB5PQCQURU24N3YOCTWY4Q","bundle":"https://pith.science/pith/MGV6CB5PQCQURU24N3YOCTWY4Q/bundle.json","state":"https://pith.science/pith/MGV6CB5PQCQURU24N3YOCTWY4Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MGV6CB5PQCQURU24N3YOCTWY4Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:MGV6CB5PQCQURU24N3YOCTWY4Q","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":"032aeda5c7f8a8a4d23213d8b97e71268ca9067659b75452795fab049ebc6c00","cross_cats_sorted":["cs.DC","cs.PF"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2021-07-01T15:51:18Z","title_canon_sha256":"60eb88a624251178d5f209fb0ed67087dd0cce70fd2e0c80feef3f82e4f3f5d7"},"schema_version":"1.0","source":{"id":"2107.00555","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.00555","created_at":"2026-07-05T03:07:50Z"},{"alias_kind":"arxiv_version","alias_value":"2107.00555v2","created_at":"2026-07-05T03:07:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.00555","created_at":"2026-07-05T03:07:50Z"},{"alias_kind":"pith_short_12","alias_value":"MGV6CB5PQCQU","created_at":"2026-07-05T03:07:50Z"},{"alias_kind":"pith_short_16","alias_value":"MGV6CB5PQCQURU24","created_at":"2026-07-05T03:07:50Z"},{"alias_kind":"pith_short_8","alias_value":"MGV6CB5P","created_at":"2026-07-05T03:07:50Z"}],"graph_snapshots":[{"event_id":"sha256:7506c6b5dc3e1f032387c0b984aca714fe26e90ba8bbf43f216db026ef107f13","target":"graph","created_at":"2026-07-05T03:07:50Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2107.00555/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Python has become the de facto language for scientific computing. Programming in Python is highly productive, mainly due to its rich science-oriented software ecosystem built around the NumPy module. As a result, the demand for Python support in High Performance Computing (HPC) has skyrocketed. However, the Python language itself does not necessarily offer high performance. In this work, we present a workflow that retains Python's high productivity while achieving portable performance across different architectures. The workflow's key features are HPC-oriented language extensions and a set of ","authors_text":"Alexandros Nikolaos Ziogas, Alexandru Calotoiu, Johannes De Fine Licht, Luca Lavarini, Tal Ben-Nun, Timo Schneider, Tiziano De Matteis, Torsten Hoefler","cross_cats":["cs.DC","cs.PF"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2021-07-01T15:51:18Z","title":"Productivity, Portability, Performance: Data-Centric Python"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.00555","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":"sha256:72fc790d807c17912dded84644241a1a97fca6d80e5ee6664bb3ed3a409bc497","target":"record","created_at":"2026-07-05T03:07:50Z","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":"032aeda5c7f8a8a4d23213d8b97e71268ca9067659b75452795fab049ebc6c00","cross_cats_sorted":["cs.DC","cs.PF"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2021-07-01T15:51:18Z","title_canon_sha256":"60eb88a624251178d5f209fb0ed67087dd0cce70fd2e0c80feef3f82e4f3f5d7"},"schema_version":"1.0","source":{"id":"2107.00555","kind":"arxiv","version":2}},"canonical_sha256":"61abe107af80a148d35c6ef0e14ed8e42ae5304d5839bf4723b8f75f584ae253","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61abe107af80a148d35c6ef0e14ed8e42ae5304d5839bf4723b8f75f584ae253","first_computed_at":"2026-07-05T03:07:50.429138Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:07:50.429138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zsby3Kn6X1EyvaRuPyOi0k8V6DUfH5MZwahwlp0zOSRZXxVBUajRaIrpHxOHnHgxU33Z3OeZ8rYlR7WMLh3xDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:07:50.429724Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.00555","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72fc790d807c17912dded84644241a1a97fca6d80e5ee6664bb3ed3a409bc497","sha256:7506c6b5dc3e1f032387c0b984aca714fe26e90ba8bbf43f216db026ef107f13"],"state_sha256":"3b4f3da1e72647b128f505d84b32a3c85722eae4171f694a5aa0da960b6e821a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dfd71QGyPFEJFKMTi8x+zaQe8Cy2pu87pykl/7QHAL+boygXFEFabivLKTgaeK/wXp8T5HbIpwLpb78TwIDzAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T12:55:31.164817Z","bundle_sha256":"f51ec7772b568e826c6ef80ef377c0bd9c1c8f1945e2d5ba0e2d55a0c497cb26"}}