{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZXA2XTZC57HBL5MXIIM3ABDC3G","short_pith_number":"pith:ZXA2XTZC","canonical_record":{"source":{"id":"2407.01638","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-06-30T19:36:04Z","cross_cats_sorted":["cs.AI","cs.DC","cs.PL"],"title_canon_sha256":"1cc3ad5b5939a3ce8743fdd7796c6f0acbab67cfa0cf7aeea9e33780e8da2e85","abstract_canon_sha256":"5d94bbb84268b52fc2ae5bea95eb3c90e46053f70cabfc0c27924fe2dd7442bf"},"schema_version":"1.0"},"canonical_sha256":"cdc1abcf22efce15f5974219b00462d9a4875df38570cf97339f30a89d4b8843","source":{"kind":"arxiv","id":"2407.01638","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.01638","created_at":"2026-07-05T10:58:16Z"},{"alias_kind":"arxiv_version","alias_value":"2407.01638v2","created_at":"2026-07-05T10:58:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.01638","created_at":"2026-07-05T10:58:16Z"},{"alias_kind":"pith_short_12","alias_value":"ZXA2XTZC57HB","created_at":"2026-07-05T10:58:16Z"},{"alias_kind":"pith_short_16","alias_value":"ZXA2XTZC57HBL5MX","created_at":"2026-07-05T10:58:16Z"},{"alias_kind":"pith_short_8","alias_value":"ZXA2XTZC","created_at":"2026-07-05T10:58:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZXA2XTZC57HBL5MXIIM3ABDC3G","target":"record","payload":{"canonical_record":{"source":{"id":"2407.01638","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-06-30T19:36:04Z","cross_cats_sorted":["cs.AI","cs.DC","cs.PL"],"title_canon_sha256":"1cc3ad5b5939a3ce8743fdd7796c6f0acbab67cfa0cf7aeea9e33780e8da2e85","abstract_canon_sha256":"5d94bbb84268b52fc2ae5bea95eb3c90e46053f70cabfc0c27924fe2dd7442bf"},"schema_version":"1.0"},"canonical_sha256":"cdc1abcf22efce15f5974219b00462d9a4875df38570cf97339f30a89d4b8843","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:58:16.791766Z","signature_b64":"Kd/u6PKZs3wjY8mNzZqdR1jc5pOpYMQ7UPFuxdf3Igb/vxud8m32sCdKxiV52N61tjVsDreRjFPz6p9NiMRiCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cdc1abcf22efce15f5974219b00462d9a4875df38570cf97339f30a89d4b8843","last_reissued_at":"2026-07-05T10:58:16.791255Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:58:16.791255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.01638","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":"2026-07-05T10:58:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OwF2tUkxJCp+O6d+wJYyeVcfHXCXPs14mygJnwgSP2SMQJq5/9CjQRQUXbuYfB2lj3bjuDCAxTCLT4j8w6BuAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T20:11:58.451203Z"},"content_sha256":"baae8ac2e853decf3348e82e86216f93a003583953dd29de14963e772cebb182","schema_version":"1.0","event_id":"sha256:baae8ac2e853decf3348e82e86216f93a003583953dd29de14963e772cebb182"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZXA2XTZC57HBL5MXIIM3ABDC3G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.DC","cs.PL"],"primary_cat":"cs.SE","authors_text":"Matthew T. Dearing, Valerie Taylor, Xingfu Wu, Yiheng Tao, Zhiling Lan","submitted_at":"2024-06-30T19:36:04Z","abstract_excerpt":"This paper addresses the problem of providing a novel approach to sourcing significant training data for LLMs focused on science and engineering. In particular, a crucial challenge is sourcing parallel scientific codes in the ranges of millions to billions of codes. To tackle this problem, we propose an automated pipeline framework called LASSI, designed to translate between parallel programming languages by bootstrapping existing closed- or open-source LLMs. LASSI incorporates autonomous enhancement through self-correcting loops where errors encountered during the compilation and execution of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.01638","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/2407.01638/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":"2026-07-05T10:58:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7QoILcfnEt0JXUxkvJCAGpEveNQORPMCBxZFXb29OXg6VPDCHK1MQufxq9MDePDTqlZVmu8zkiWlwxDzHRnqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T20:11:58.452291Z"},"content_sha256":"64c029a8cddb27c0aace905b37966823951c9a6442cf3853171993411bb2f8bc","schema_version":"1.0","event_id":"sha256:64c029a8cddb27c0aace905b37966823951c9a6442cf3853171993411bb2f8bc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZXA2XTZC57HBL5MXIIM3ABDC3G/bundle.json","state_url":"https://pith.science/pith/ZXA2XTZC57HBL5MXIIM3ABDC3G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZXA2XTZC57HBL5MXIIM3ABDC3G/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":"2026-08-11T20:11:58Z","links":{"resolver":"https://pith.science/pith/ZXA2XTZC57HBL5MXIIM3ABDC3G","bundle":"https://pith.science/pith/ZXA2XTZC57HBL5MXIIM3ABDC3G/bundle.json","state":"https://pith.science/pith/ZXA2XTZC57HBL5MXIIM3ABDC3G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZXA2XTZC57HBL5MXIIM3ABDC3G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZXA2XTZC57HBL5MXIIM3ABDC3G","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":"5d94bbb84268b52fc2ae5bea95eb3c90e46053f70cabfc0c27924fe2dd7442bf","cross_cats_sorted":["cs.AI","cs.DC","cs.PL"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-06-30T19:36:04Z","title_canon_sha256":"1cc3ad5b5939a3ce8743fdd7796c6f0acbab67cfa0cf7aeea9e33780e8da2e85"},"schema_version":"1.0","source":{"id":"2407.01638","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.01638","created_at":"2026-07-05T10:58:16Z"},{"alias_kind":"arxiv_version","alias_value":"2407.01638v2","created_at":"2026-07-05T10:58:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.01638","created_at":"2026-07-05T10:58:16Z"},{"alias_kind":"pith_short_12","alias_value":"ZXA2XTZC57HB","created_at":"2026-07-05T10:58:16Z"},{"alias_kind":"pith_short_16","alias_value":"ZXA2XTZC57HBL5MX","created_at":"2026-07-05T10:58:16Z"},{"alias_kind":"pith_short_8","alias_value":"ZXA2XTZC","created_at":"2026-07-05T10:58:16Z"}],"graph_snapshots":[{"event_id":"sha256:64c029a8cddb27c0aace905b37966823951c9a6442cf3853171993411bb2f8bc","target":"graph","created_at":"2026-07-05T10:58:16Z","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/2407.01638/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper addresses the problem of providing a novel approach to sourcing significant training data for LLMs focused on science and engineering. In particular, a crucial challenge is sourcing parallel scientific codes in the ranges of millions to billions of codes. To tackle this problem, we propose an automated pipeline framework called LASSI, designed to translate between parallel programming languages by bootstrapping existing closed- or open-source LLMs. LASSI incorporates autonomous enhancement through self-correcting loops where errors encountered during the compilation and execution of","authors_text":"Matthew T. Dearing, Valerie Taylor, Xingfu Wu, Yiheng Tao, Zhiling Lan","cross_cats":["cs.AI","cs.DC","cs.PL"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-06-30T19:36:04Z","title":"LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.01638","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:baae8ac2e853decf3348e82e86216f93a003583953dd29de14963e772cebb182","target":"record","created_at":"2026-07-05T10:58:16Z","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":"5d94bbb84268b52fc2ae5bea95eb3c90e46053f70cabfc0c27924fe2dd7442bf","cross_cats_sorted":["cs.AI","cs.DC","cs.PL"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-06-30T19:36:04Z","title_canon_sha256":"1cc3ad5b5939a3ce8743fdd7796c6f0acbab67cfa0cf7aeea9e33780e8da2e85"},"schema_version":"1.0","source":{"id":"2407.01638","kind":"arxiv","version":2}},"canonical_sha256":"cdc1abcf22efce15f5974219b00462d9a4875df38570cf97339f30a89d4b8843","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cdc1abcf22efce15f5974219b00462d9a4875df38570cf97339f30a89d4b8843","first_computed_at":"2026-07-05T10:58:16.791255Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:16.791255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kd/u6PKZs3wjY8mNzZqdR1jc5pOpYMQ7UPFuxdf3Igb/vxud8m32sCdKxiV52N61tjVsDreRjFPz6p9NiMRiCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:16.791766Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.01638","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:baae8ac2e853decf3348e82e86216f93a003583953dd29de14963e772cebb182","sha256:64c029a8cddb27c0aace905b37966823951c9a6442cf3853171993411bb2f8bc"],"state_sha256":"2a5ba1d514847f22f51248bf0c4c3e01d81a43008c23e6996ab2256de33f255d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kGQzJertHbGy4z3Qoakgs2A4Q73dk324rf39wMTydGMvRXWHP/8IH/dqVhBZD/6GrMskTUDPbEcc4O4t2b8oBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T20:11:58.459663Z","bundle_sha256":"136ff4b623118912d207d67a9ebb165b90f8450821f08a88882528a9d6553ab6"}}