{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:3M32MB7AWCGTX4PZVY7INNZYRH","short_pith_number":"pith:3M32MB7A","canonical_record":{"source":{"id":"2606.18425","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-06-16T19:21:09Z","cross_cats_sorted":["cs.AI","cs.DC"],"title_canon_sha256":"f23b7a6763ff6f75c16f080aab8f07a6368643ad1563d85617891d8b07f13aa1","abstract_canon_sha256":"bb49a3cf7987323f2ca6512d11c4fdaa7f0dc6437e4373770acdf09a1290b001"},"schema_version":"1.0"},"canonical_sha256":"db37a607e0b08d3bf1f9ae3e86b73889e09fdd14b4e2b1f9774ef02255adc92f","source":{"kind":"arxiv","id":"2606.18425","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.18425","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"arxiv_version","alias_value":"2606.18425v1","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18425","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"pith_short_12","alias_value":"3M32MB7AWCGT","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"pith_short_16","alias_value":"3M32MB7AWCGTX4PZ","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"pith_short_8","alias_value":"3M32MB7A","created_at":"2026-06-19T16:11:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:3M32MB7AWCGTX4PZVY7INNZYRH","target":"record","payload":{"canonical_record":{"source":{"id":"2606.18425","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-06-16T19:21:09Z","cross_cats_sorted":["cs.AI","cs.DC"],"title_canon_sha256":"f23b7a6763ff6f75c16f080aab8f07a6368643ad1563d85617891d8b07f13aa1","abstract_canon_sha256":"bb49a3cf7987323f2ca6512d11c4fdaa7f0dc6437e4373770acdf09a1290b001"},"schema_version":"1.0"},"canonical_sha256":"db37a607e0b08d3bf1f9ae3e86b73889e09fdd14b4e2b1f9774ef02255adc92f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:11:00.931033Z","signature_b64":"MNxEvEog4a4oVZZhYU0Io+wHJtcaWlUPjy6yl+qgD8Sm8lsqmkTqKCLLfsGsNtfZaP5HOnP4qTUtUIZFOzyXCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db37a607e0b08d3bf1f9ae3e86b73889e09fdd14b4e2b1f9774ef02255adc92f","last_reissued_at":"2026-06-19T16:11:00.930701Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:11:00.930701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.18425","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":"2026-06-19T16:11:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BpjndEQjU5Z6bXU1fPajVZxHcEGN0btoCxUWYzoNQi4jeZNjmTeEMCMqaNg9R9kDfrpJ6tqmdCXbNR7kyKEQBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T08:41:25.067533Z"},"content_sha256":"4435ff70d057cb88c203d9a77510f41f04859ab1869b97351847a8933b725f80","schema_version":"1.0","event_id":"sha256:4435ff70d057cb88c203d9a77510f41f04859ab1869b97351847a8933b725f80"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:3M32MB7AWCGTX4PZVY7INNZYRH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Specification to Execution: AI Assisted Scientific Workflow Management","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.DC"],"primary_cat":"cs.SE","authors_text":"Anirban Mandal, Ewa Deelman, Hamza Safri, Komal Thareja, Rajiv Mayani","submitted_at":"2026-06-16T19:21:09Z","abstract_excerpt":"Scientific workflow management systems (WMS) support scalable and reproducible execution of complex pipelines, but workflow design, implementation, and debugging remain largely manual and require significant expertise. Recent approaches using large language models (LLMs) show promise for workflow generation from natural language, but often rely on direct code synthesis, which limits transparency, reproducibility, and integration with workflow systems. We present an AI-assisted approach to scientific workflow management that combines specification-driven workflow generation, automated debugging"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18425","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/2606.18425/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":"2026-06-19T16:11:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p9b6Sr/9vF76U6G9zLZgNHNMmQ6h5VoVh7m9Gciq19rSdIkFYxM42vs9JqxBQgrbSbMvGUTc3fhENo3GZAo2BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T08:41:25.067891Z"},"content_sha256":"0f31df09eea3338a471c31997d47bc2bc25d95e32c60a52cedf4898cbe91a1f9","schema_version":"1.0","event_id":"sha256:0f31df09eea3338a471c31997d47bc2bc25d95e32c60a52cedf4898cbe91a1f9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3M32MB7AWCGTX4PZVY7INNZYRH/bundle.json","state_url":"https://pith.science/pith/3M32MB7AWCGTX4PZVY7INNZYRH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3M32MB7AWCGTX4PZVY7INNZYRH/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":"2026-07-02T08:41:25Z","links":{"resolver":"https://pith.science/pith/3M32MB7AWCGTX4PZVY7INNZYRH","bundle":"https://pith.science/pith/3M32MB7AWCGTX4PZVY7INNZYRH/bundle.json","state":"https://pith.science/pith/3M32MB7AWCGTX4PZVY7INNZYRH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3M32MB7AWCGTX4PZVY7INNZYRH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3M32MB7AWCGTX4PZVY7INNZYRH","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":"bb49a3cf7987323f2ca6512d11c4fdaa7f0dc6437e4373770acdf09a1290b001","cross_cats_sorted":["cs.AI","cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-06-16T19:21:09Z","title_canon_sha256":"f23b7a6763ff6f75c16f080aab8f07a6368643ad1563d85617891d8b07f13aa1"},"schema_version":"1.0","source":{"id":"2606.18425","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.18425","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"arxiv_version","alias_value":"2606.18425v1","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18425","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"pith_short_12","alias_value":"3M32MB7AWCGT","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"pith_short_16","alias_value":"3M32MB7AWCGTX4PZ","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"pith_short_8","alias_value":"3M32MB7A","created_at":"2026-06-19T16:11:00Z"}],"graph_snapshots":[{"event_id":"sha256:0f31df09eea3338a471c31997d47bc2bc25d95e32c60a52cedf4898cbe91a1f9","target":"graph","created_at":"2026-06-19T16:11:00Z","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/2606.18425/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scientific workflow management systems (WMS) support scalable and reproducible execution of complex pipelines, but workflow design, implementation, and debugging remain largely manual and require significant expertise. Recent approaches using large language models (LLMs) show promise for workflow generation from natural language, but often rely on direct code synthesis, which limits transparency, reproducibility, and integration with workflow systems. We present an AI-assisted approach to scientific workflow management that combines specification-driven workflow generation, automated debugging","authors_text":"Anirban Mandal, Ewa Deelman, Hamza Safri, Komal Thareja, Rajiv Mayani","cross_cats":["cs.AI","cs.DC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-06-16T19:21:09Z","title":"From Specification to Execution: AI Assisted Scientific Workflow Management"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18425","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":"sha256:4435ff70d057cb88c203d9a77510f41f04859ab1869b97351847a8933b725f80","target":"record","created_at":"2026-06-19T16:11:00Z","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":"bb49a3cf7987323f2ca6512d11c4fdaa7f0dc6437e4373770acdf09a1290b001","cross_cats_sorted":["cs.AI","cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-06-16T19:21:09Z","title_canon_sha256":"f23b7a6763ff6f75c16f080aab8f07a6368643ad1563d85617891d8b07f13aa1"},"schema_version":"1.0","source":{"id":"2606.18425","kind":"arxiv","version":1}},"canonical_sha256":"db37a607e0b08d3bf1f9ae3e86b73889e09fdd14b4e2b1f9774ef02255adc92f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db37a607e0b08d3bf1f9ae3e86b73889e09fdd14b4e2b1f9774ef02255adc92f","first_computed_at":"2026-06-19T16:11:00.930701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:00.930701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MNxEvEog4a4oVZZhYU0Io+wHJtcaWlUPjy6yl+qgD8Sm8lsqmkTqKCLLfsGsNtfZaP5HOnP4qTUtUIZFOzyXCw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:00.931033Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.18425","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4435ff70d057cb88c203d9a77510f41f04859ab1869b97351847a8933b725f80","sha256:0f31df09eea3338a471c31997d47bc2bc25d95e32c60a52cedf4898cbe91a1f9"],"state_sha256":"e81a5b7482c39d5c78993480c47e23989c10f597a21a3abf8d9f09eea3a293d0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a5m/87UGXr9KZFFr4SxSi10FfmB1wYEMIhgHVf3Pm5vl37LjEym3KEqeebHMyBUfqs3VVnXR5gbPtlj1lg8WBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T08:41:25.071888Z","bundle_sha256":"95cace789313e5d0fdda48266ac24c4c7d1ede9dd044145bcfa988bd06d888dc"}}