{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CBVGBBZDZG23LCO2C55RRR7TWW","short_pith_number":"pith:CBVGBBZD","canonical_record":{"source":{"id":"2409.14771","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T07:39:01Z","cross_cats_sorted":[],"title_canon_sha256":"d277af7ae0d5161af38a298027633a8fbf6ceee4e21173a9155c62b5a8b1c470","abstract_canon_sha256":"661e728c55984226d114c522201f87ebec3afe306c449031684b34a1ad65258c"},"schema_version":"1.0"},"canonical_sha256":"106a608723c9b5b589da177b18c7f3b586e03f475d1720f8645451a10fba5905","source":{"kind":"arxiv","id":"2409.14771","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.14771","created_at":"2026-07-05T09:10:21Z"},{"alias_kind":"arxiv_version","alias_value":"2409.14771v1","created_at":"2026-07-05T09:10:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.14771","created_at":"2026-07-05T09:10:21Z"},{"alias_kind":"pith_short_12","alias_value":"CBVGBBZDZG23","created_at":"2026-07-05T09:10:21Z"},{"alias_kind":"pith_short_16","alias_value":"CBVGBBZDZG23LCO2","created_at":"2026-07-05T09:10:21Z"},{"alias_kind":"pith_short_8","alias_value":"CBVGBBZD","created_at":"2026-07-05T09:10:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CBVGBBZDZG23LCO2C55RRR7TWW","target":"record","payload":{"canonical_record":{"source":{"id":"2409.14771","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T07:39:01Z","cross_cats_sorted":[],"title_canon_sha256":"d277af7ae0d5161af38a298027633a8fbf6ceee4e21173a9155c62b5a8b1c470","abstract_canon_sha256":"661e728c55984226d114c522201f87ebec3afe306c449031684b34a1ad65258c"},"schema_version":"1.0"},"canonical_sha256":"106a608723c9b5b589da177b18c7f3b586e03f475d1720f8645451a10fba5905","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:10:21.255626Z","signature_b64":"5EycDOPy6RB+ub+WqGT0GtM4xdtED/4L5hxYQHgmDzX+k7DHVUbxitNe3OdW2UFva8jshlhiUj00UwoQrLbaAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"106a608723c9b5b589da177b18c7f3b586e03f475d1720f8645451a10fba5905","last_reissued_at":"2026-07-05T09:10:21.255186Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:10:21.255186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.14771","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":"2026-07-05T09:10:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hGg7oOx80JpLbaIQiZq2ef1QO7JymbHV+bYa46MbyYH5wFYiXAjrNkCfuLUjkceC7eJMLpSc/FmiIOkUGDuKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:19:11.919758Z"},"content_sha256":"515c18e555f9cee7b053a42c9742914bc0472bdac1b360648225970804a11f99","schema_version":"1.0","event_id":"sha256:515c18e555f9cee7b053a42c9742914bc0472bdac1b360648225970804a11f99"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CBVGBBZDZG23LCO2C55RRR7TWW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Gal Oren, Mihai Capota, Nesreen Ahmed, Niranjan Hasabnis, Prema Soundararajan, Tal Kadosh, Vy A. Vo, Yuval Pinter","submitted_at":"2024-09-23T07:39:01Z","abstract_excerpt":"Manual parallelization of code remains a significant challenge due to the complexities of modern software systems and the widespread adoption of multi-core architectures. This paper introduces OMPar, an AI-driven tool designed to automate the parallelization of C/C++ code using OpenMP pragmas. OMPar integrates Large Language Models (LLMs) through two key components: OMPify, which assesses loop parallelization potential, and MonoCoder-OMP, a new fine-tuned model which generates precise OpenMP pragmas. The evaluation of OMPar follows the same rigorous process applied to traditional tools like so"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.14771","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2409.14771/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":"2026-07-05T09:10:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rKewdofI01IRmAUnTwfB0Uq1u65P6QvEKBJZt44/tFnZxunEXDVn+cCncU0Tya9TuMTezbzNwqNmLpfi3ehGCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:19:11.920824Z"},"content_sha256":"2429cc97fd4ea0944f8d62b62cad32711457bba1e7056ad6207123407171e340","schema_version":"1.0","event_id":"sha256:2429cc97fd4ea0944f8d62b62cad32711457bba1e7056ad6207123407171e340"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CBVGBBZDZG23LCO2C55RRR7TWW/bundle.json","state_url":"https://pith.science/pith/CBVGBBZDZG23LCO2C55RRR7TWW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CBVGBBZDZG23LCO2C55RRR7TWW/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":"2026-08-07T03:19:11Z","links":{"resolver":"https://pith.science/pith/CBVGBBZDZG23LCO2C55RRR7TWW","bundle":"https://pith.science/pith/CBVGBBZDZG23LCO2C55RRR7TWW/bundle.json","state":"https://pith.science/pith/CBVGBBZDZG23LCO2C55RRR7TWW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CBVGBBZDZG23LCO2C55RRR7TWW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CBVGBBZDZG23LCO2C55RRR7TWW","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":"661e728c55984226d114c522201f87ebec3afe306c449031684b34a1ad65258c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T07:39:01Z","title_canon_sha256":"d277af7ae0d5161af38a298027633a8fbf6ceee4e21173a9155c62b5a8b1c470"},"schema_version":"1.0","source":{"id":"2409.14771","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.14771","created_at":"2026-07-05T09:10:21Z"},{"alias_kind":"arxiv_version","alias_value":"2409.14771v1","created_at":"2026-07-05T09:10:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.14771","created_at":"2026-07-05T09:10:21Z"},{"alias_kind":"pith_short_12","alias_value":"CBVGBBZDZG23","created_at":"2026-07-05T09:10:21Z"},{"alias_kind":"pith_short_16","alias_value":"CBVGBBZDZG23LCO2","created_at":"2026-07-05T09:10:21Z"},{"alias_kind":"pith_short_8","alias_value":"CBVGBBZD","created_at":"2026-07-05T09:10:21Z"}],"graph_snapshots":[{"event_id":"sha256:2429cc97fd4ea0944f8d62b62cad32711457bba1e7056ad6207123407171e340","target":"graph","created_at":"2026-07-05T09:10:21Z","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/2409.14771/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Manual parallelization of code remains a significant challenge due to the complexities of modern software systems and the widespread adoption of multi-core architectures. This paper introduces OMPar, an AI-driven tool designed to automate the parallelization of C/C++ code using OpenMP pragmas. OMPar integrates Large Language Models (LLMs) through two key components: OMPify, which assesses loop parallelization potential, and MonoCoder-OMP, a new fine-tuned model which generates precise OpenMP pragmas. The evaluation of OMPar follows the same rigorous process applied to traditional tools like so","authors_text":"Gal Oren, Mihai Capota, Nesreen Ahmed, Niranjan Hasabnis, Prema Soundararajan, Tal Kadosh, Vy A. Vo, Yuval Pinter","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T07:39:01Z","title":"OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.14771","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":"sha256:515c18e555f9cee7b053a42c9742914bc0472bdac1b360648225970804a11f99","target":"record","created_at":"2026-07-05T09:10:21Z","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":"661e728c55984226d114c522201f87ebec3afe306c449031684b34a1ad65258c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-23T07:39:01Z","title_canon_sha256":"d277af7ae0d5161af38a298027633a8fbf6ceee4e21173a9155c62b5a8b1c470"},"schema_version":"1.0","source":{"id":"2409.14771","kind":"arxiv","version":1}},"canonical_sha256":"106a608723c9b5b589da177b18c7f3b586e03f475d1720f8645451a10fba5905","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"106a608723c9b5b589da177b18c7f3b586e03f475d1720f8645451a10fba5905","first_computed_at":"2026-07-05T09:10:21.255186Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:10:21.255186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5EycDOPy6RB+ub+WqGT0GtM4xdtED/4L5hxYQHgmDzX+k7DHVUbxitNe3OdW2UFva8jshlhiUj00UwoQrLbaAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:10:21.255626Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.14771","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:515c18e555f9cee7b053a42c9742914bc0472bdac1b360648225970804a11f99","sha256:2429cc97fd4ea0944f8d62b62cad32711457bba1e7056ad6207123407171e340"],"state_sha256":"06ebeab46a360024be980c1e10595a56c78c6fe22a771201b5b1cf557939fdaf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pMElWyFfJFjn73EkkXzxjd1umMYDjumksVOpXdQjLQpd1K/UiGHj1Ezcbpnyl3RexfHr9VeyFuLELx2x+jxoAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T03:19:11.925834Z","bundle_sha256":"2e89f5adc56c5a9ea6e3b6ce9224aaf810101e9638e79b4f4f36bbe706a4db47"}}