{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4GIZXSVXJN675BTMYGK7REFTRK","short_pith_number":"pith:4GIZXSVX","canonical_record":{"source":{"id":"2506.20598","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T16:37:46Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"515283df41466ab23de34608d6250830f1d63e2d2424f05db2731d6339032032","abstract_canon_sha256":"1dc948c004b3eefcc057010e661550899ecd56930fddb9941fb355a38755af29"},"schema_version":"1.0"},"canonical_sha256":"e1919bcab74b7dfe866cc195f890b38a9254c34983d4e9ef58af529195bba34b","source":{"kind":"arxiv","id":"2506.20598","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.20598","created_at":"2026-07-05T11:27:08Z"},{"alias_kind":"arxiv_version","alias_value":"2506.20598v1","created_at":"2026-07-05T11:27:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.20598","created_at":"2026-07-05T11:27:08Z"},{"alias_kind":"pith_short_12","alias_value":"4GIZXSVXJN67","created_at":"2026-07-05T11:27:08Z"},{"alias_kind":"pith_short_16","alias_value":"4GIZXSVXJN675BTM","created_at":"2026-07-05T11:27:08Z"},{"alias_kind":"pith_short_8","alias_value":"4GIZXSVX","created_at":"2026-07-05T11:27:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4GIZXSVXJN675BTMYGK7REFTRK","target":"record","payload":{"canonical_record":{"source":{"id":"2506.20598","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T16:37:46Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"515283df41466ab23de34608d6250830f1d63e2d2424f05db2731d6339032032","abstract_canon_sha256":"1dc948c004b3eefcc057010e661550899ecd56930fddb9941fb355a38755af29"},"schema_version":"1.0"},"canonical_sha256":"e1919bcab74b7dfe866cc195f890b38a9254c34983d4e9ef58af529195bba34b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:27:08.683393Z","signature_b64":"gScqs2piOrk5RUu/fedsTdLToG1GkU3lX3XlQEcfKaK/Ydg+f9CETKyHaCC37Kc5ouEJ7SyPUP+xysTu68kZCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1919bcab74b7dfe866cc195f890b38a9254c34983d4e9ef58af529195bba34b","last_reissued_at":"2026-07-05T11:27:08.682912Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:27:08.682912Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.20598","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":"2026-07-05T11:27:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Zn+VxCsBKRYXyrljAUwaxa8N6dH22gzLZDBbjGbno9QmJpwGMxAKh2R4SPiycjkI35G9qpvIlU9y9xD05LEBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:19:49.528293Z"},"content_sha256":"cc3f3721b8c97f6f9099d78b255bc23bcac1d7b51c492bbf8f8e5b548af53274","schema_version":"1.0","event_id":"sha256:cc3f3721b8c97f6f9099d78b255bc23bcac1d7b51c492bbf8f8e5b548af53274"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4GIZXSVXJN675BTMYGK7REFTRK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.AI","authors_text":"Alexander D. Kalian, Christer Hogstrand, Jaewook Lee, Lennart Otte, Miao Guo, Stefan P. Johannesson","submitted_at":"2025-06-25T16:37:46Z","abstract_excerpt":"The global demand for sustainable protein sources has accelerated the need for intelligent tools that can rapidly process and synthesise domain-specific scientific knowledge. In this study, we present a proof-of-concept multi-agent Artificial Intelligence (AI) framework designed to support sustainable protein production research, with an initial focus on microbial protein sources. Our Retrieval-Augmented Generation (RAG)-oriented system consists of two GPT-based LLM agents: (1) a literature search agent that retrieves relevant scientific literature on microbial protein production for a specifi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.20598","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/2506.20598/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":"2026-07-05T11:27:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KBH7WLeWlY7dyNi1c7bOE0raYA5F8iTmocZsVdM1/D4xivpUSPD3M8rlWZWtOGOTPU80kxPkTftAGcLXD4btBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:19:49.528853Z"},"content_sha256":"7eff435469d45d2b10fa464c407325034b2b21c0ee726cd286cc7a8912ff14b2","schema_version":"1.0","event_id":"sha256:7eff435469d45d2b10fa464c407325034b2b21c0ee726cd286cc7a8912ff14b2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4GIZXSVXJN675BTMYGK7REFTRK/bundle.json","state_url":"https://pith.science/pith/4GIZXSVXJN675BTMYGK7REFTRK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4GIZXSVXJN675BTMYGK7REFTRK/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":"2026-08-08T17:19:49Z","links":{"resolver":"https://pith.science/pith/4GIZXSVXJN675BTMYGK7REFTRK","bundle":"https://pith.science/pith/4GIZXSVXJN675BTMYGK7REFTRK/bundle.json","state":"https://pith.science/pith/4GIZXSVXJN675BTMYGK7REFTRK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4GIZXSVXJN675BTMYGK7REFTRK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4GIZXSVXJN675BTMYGK7REFTRK","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":"1dc948c004b3eefcc057010e661550899ecd56930fddb9941fb355a38755af29","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T16:37:46Z","title_canon_sha256":"515283df41466ab23de34608d6250830f1d63e2d2424f05db2731d6339032032"},"schema_version":"1.0","source":{"id":"2506.20598","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.20598","created_at":"2026-07-05T11:27:08Z"},{"alias_kind":"arxiv_version","alias_value":"2506.20598v1","created_at":"2026-07-05T11:27:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.20598","created_at":"2026-07-05T11:27:08Z"},{"alias_kind":"pith_short_12","alias_value":"4GIZXSVXJN67","created_at":"2026-07-05T11:27:08Z"},{"alias_kind":"pith_short_16","alias_value":"4GIZXSVXJN675BTM","created_at":"2026-07-05T11:27:08Z"},{"alias_kind":"pith_short_8","alias_value":"4GIZXSVX","created_at":"2026-07-05T11:27:08Z"}],"graph_snapshots":[{"event_id":"sha256:7eff435469d45d2b10fa464c407325034b2b21c0ee726cd286cc7a8912ff14b2","target":"graph","created_at":"2026-07-05T11:27:08Z","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/2506.20598/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The global demand for sustainable protein sources has accelerated the need for intelligent tools that can rapidly process and synthesise domain-specific scientific knowledge. In this study, we present a proof-of-concept multi-agent Artificial Intelligence (AI) framework designed to support sustainable protein production research, with an initial focus on microbial protein sources. Our Retrieval-Augmented Generation (RAG)-oriented system consists of two GPT-based LLM agents: (1) a literature search agent that retrieves relevant scientific literature on microbial protein production for a specifi","authors_text":"Alexander D. Kalian, Christer Hogstrand, Jaewook Lee, Lennart Otte, Miao Guo, Stefan P. Johannesson","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T16:37:46Z","title":"Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.20598","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:cc3f3721b8c97f6f9099d78b255bc23bcac1d7b51c492bbf8f8e5b548af53274","target":"record","created_at":"2026-07-05T11:27:08Z","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":"1dc948c004b3eefcc057010e661550899ecd56930fddb9941fb355a38755af29","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T16:37:46Z","title_canon_sha256":"515283df41466ab23de34608d6250830f1d63e2d2424f05db2731d6339032032"},"schema_version":"1.0","source":{"id":"2506.20598","kind":"arxiv","version":1}},"canonical_sha256":"e1919bcab74b7dfe866cc195f890b38a9254c34983d4e9ef58af529195bba34b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e1919bcab74b7dfe866cc195f890b38a9254c34983d4e9ef58af529195bba34b","first_computed_at":"2026-07-05T11:27:08.682912Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:27:08.682912Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gScqs2piOrk5RUu/fedsTdLToG1GkU3lX3XlQEcfKaK/Ydg+f9CETKyHaCC37Kc5ouEJ7SyPUP+xysTu68kZCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:27:08.683393Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.20598","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc3f3721b8c97f6f9099d78b255bc23bcac1d7b51c492bbf8f8e5b548af53274","sha256:7eff435469d45d2b10fa464c407325034b2b21c0ee726cd286cc7a8912ff14b2"],"state_sha256":"55820364b23858d75eae6a70c5ed0301feb938a7e14e5a13d3c99caff19dd977"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kAPHFLB1KTxtQLoUTLChPDZD7RnF91PAa3zSa35a1kfk1oNh2t1eLg9jx4ruBMbHfKaB75okZdckOyqegR5lCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T17:19:49.534642Z","bundle_sha256":"13dea209f9b9b741971d054007fae0ee214eb4c53468d36060a96e277698426d"}}