{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:QLIGREK3KJN7NT4SFOBJRDR5RJ","short_pith_number":"pith:QLIGREK3","canonical_record":{"source":{"id":"2605.24784","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-23T23:58:27Z","cross_cats_sorted":[],"title_canon_sha256":"e7cbb93c6d134700005ea0e2c574f6f14dfcd1bade24f6e740a3405871b14a28","abstract_canon_sha256":"1186cd8d91bc2a5e02dddab0d5ae213501857d409c7aa171b2a5fae12499a35a"},"schema_version":"1.0"},"canonical_sha256":"82d068915b525bf6cf922b82988e3d8a5405a8b434070908a1a4be7a14fd0458","source":{"kind":"arxiv","id":"2605.24784","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24784","created_at":"2026-05-26T01:03:57Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24784v1","created_at":"2026-05-26T01:03:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24784","created_at":"2026-05-26T01:03:57Z"},{"alias_kind":"pith_short_12","alias_value":"QLIGREK3KJN7","created_at":"2026-05-26T01:03:57Z"},{"alias_kind":"pith_short_16","alias_value":"QLIGREK3KJN7NT4S","created_at":"2026-05-26T01:03:57Z"},{"alias_kind":"pith_short_8","alias_value":"QLIGREK3","created_at":"2026-05-26T01:03:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:QLIGREK3KJN7NT4SFOBJRDR5RJ","target":"record","payload":{"canonical_record":{"source":{"id":"2605.24784","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-23T23:58:27Z","cross_cats_sorted":[],"title_canon_sha256":"e7cbb93c6d134700005ea0e2c574f6f14dfcd1bade24f6e740a3405871b14a28","abstract_canon_sha256":"1186cd8d91bc2a5e02dddab0d5ae213501857d409c7aa171b2a5fae12499a35a"},"schema_version":"1.0"},"canonical_sha256":"82d068915b525bf6cf922b82988e3d8a5405a8b434070908a1a4be7a14fd0458","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:03:57.965628Z","signature_b64":"rILZnaoBBZokwSlXC8dm/YeaSDUVTqzQsQalFXwWCVZGCj0xVnFU3jnM342lfhRygSQF4RW28bgWHuxAvhHSBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"82d068915b525bf6cf922b82988e3d8a5405a8b434070908a1a4be7a14fd0458","last_reissued_at":"2026-05-26T01:03:57.964992Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:03:57.964992Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.24784","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":"2026-05-26T01:03:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nh5BIPD+EtOWNb2o+g3xdRGh6EGStESER82fFg/MEYeyEOnkw+3EtTcJxUEH5fzZsoCeQFFzes/dlVpPTBBBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T08:54:52.816394Z"},"content_sha256":"36e36672a93df3cba2aef57fe04d0874a62ce2c5aa0c0f0907e353695492c87a","schema_version":"1.0","event_id":"sha256:36e36672a93df3cba2aef57fe04d0874a62ce2c5aa0c0f0907e353695492c87a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:QLIGREK3KJN7NT4SFOBJRDR5RJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GRAIL: AI translation for scientists application workflow on satellite data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Ahmed ElDawy, Zhuocheng Shang","submitted_at":"2026-05-23T23:58:27Z","abstract_excerpt":"Domain scientists increasingly develop Python scripts to analyze satellite imagery but they lack scalability to large-scale data. This paper demonstrates GRAIL, an agentic translation system that converts Python geospatial workflows into executable Spark-based programs without requiring scientists to learn a new framework. Rather than fine-tuning a specialized LLM model, GRAIL adapts RDPro, a Scala library for satellite data analysis, to make it LLM-ready using structured documentation, API alias functions, and repair-oriented error logs. Translation is structured as a LangGraph pipeline that "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24784","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/2605.24784/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":"2026-05-26T01:03:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C8czLBOZYvlCx2CGWmxD62wRusgiEItcRK/O3pbhRulaB1vRd5sv4Rpm6xCEqB9DdUzbwDIaWqnK7v/d7dHlDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T08:54:52.816776Z"},"content_sha256":"82cd393f2aea22ac39ad0b5ce4a15818cc38494c5e4ec30ecfebc0d12151a33c","schema_version":"1.0","event_id":"sha256:82cd393f2aea22ac39ad0b5ce4a15818cc38494c5e4ec30ecfebc0d12151a33c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QLIGREK3KJN7NT4SFOBJRDR5RJ/bundle.json","state_url":"https://pith.science/pith/QLIGREK3KJN7NT4SFOBJRDR5RJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QLIGREK3KJN7NT4SFOBJRDR5RJ/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":"2026-07-02T08:54:52Z","links":{"resolver":"https://pith.science/pith/QLIGREK3KJN7NT4SFOBJRDR5RJ","bundle":"https://pith.science/pith/QLIGREK3KJN7NT4SFOBJRDR5RJ/bundle.json","state":"https://pith.science/pith/QLIGREK3KJN7NT4SFOBJRDR5RJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QLIGREK3KJN7NT4SFOBJRDR5RJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QLIGREK3KJN7NT4SFOBJRDR5RJ","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":"1186cd8d91bc2a5e02dddab0d5ae213501857d409c7aa171b2a5fae12499a35a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-23T23:58:27Z","title_canon_sha256":"e7cbb93c6d134700005ea0e2c574f6f14dfcd1bade24f6e740a3405871b14a28"},"schema_version":"1.0","source":{"id":"2605.24784","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24784","created_at":"2026-05-26T01:03:57Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24784v1","created_at":"2026-05-26T01:03:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24784","created_at":"2026-05-26T01:03:57Z"},{"alias_kind":"pith_short_12","alias_value":"QLIGREK3KJN7","created_at":"2026-05-26T01:03:57Z"},{"alias_kind":"pith_short_16","alias_value":"QLIGREK3KJN7NT4S","created_at":"2026-05-26T01:03:57Z"},{"alias_kind":"pith_short_8","alias_value":"QLIGREK3","created_at":"2026-05-26T01:03:57Z"}],"graph_snapshots":[{"event_id":"sha256:82cd393f2aea22ac39ad0b5ce4a15818cc38494c5e4ec30ecfebc0d12151a33c","target":"graph","created_at":"2026-05-26T01:03:57Z","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/2605.24784/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Domain scientists increasingly develop Python scripts to analyze satellite imagery but they lack scalability to large-scale data. This paper demonstrates GRAIL, an agentic translation system that converts Python geospatial workflows into executable Spark-based programs without requiring scientists to learn a new framework. Rather than fine-tuning a specialized LLM model, GRAIL adapts RDPro, a Scala library for satellite data analysis, to make it LLM-ready using structured documentation, API alias functions, and repair-oriented error logs. Translation is structured as a LangGraph pipeline that ","authors_text":"Ahmed ElDawy, Zhuocheng Shang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-23T23:58:27Z","title":"GRAIL: AI translation for scientists application workflow on satellite data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24784","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":"sha256:36e36672a93df3cba2aef57fe04d0874a62ce2c5aa0c0f0907e353695492c87a","target":"record","created_at":"2026-05-26T01:03:57Z","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":"1186cd8d91bc2a5e02dddab0d5ae213501857d409c7aa171b2a5fae12499a35a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-23T23:58:27Z","title_canon_sha256":"e7cbb93c6d134700005ea0e2c574f6f14dfcd1bade24f6e740a3405871b14a28"},"schema_version":"1.0","source":{"id":"2605.24784","kind":"arxiv","version":1}},"canonical_sha256":"82d068915b525bf6cf922b82988e3d8a5405a8b434070908a1a4be7a14fd0458","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82d068915b525bf6cf922b82988e3d8a5405a8b434070908a1a4be7a14fd0458","first_computed_at":"2026-05-26T01:03:57.964992Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:57.964992Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rILZnaoBBZokwSlXC8dm/YeaSDUVTqzQsQalFXwWCVZGCj0xVnFU3jnM342lfhRygSQF4RW28bgWHuxAvhHSBQ==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:57.965628Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24784","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36e36672a93df3cba2aef57fe04d0874a62ce2c5aa0c0f0907e353695492c87a","sha256:82cd393f2aea22ac39ad0b5ce4a15818cc38494c5e4ec30ecfebc0d12151a33c"],"state_sha256":"88b417d3b95d354f69cde3520c13209e733efc2f68960e6eed5f6c4c2c555d94"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wdFuiEOCOHKfL4Xh6Kanlj4YdwEsglS1URXUEX8iGdFP+RbzLE1nOH8aMDak6hlVT4K9hsW9TSj57G4I4UHRBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T08:54:52.818892Z","bundle_sha256":"1e02908cbe7f756ef93c63497547dbd41202d1f76e43bf848fd19f57c9a426e7"}}