{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:HXHAGJHV5OJEDJPQOFZNODUPAY","short_pith_number":"pith:HXHAGJHV","canonical_record":{"source":{"id":"2412.03801","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-05T01:45:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e28daddb83dfdb15c289cfb7d1aaace2e7ee80e787f6fe6511fbf2e3dfc0cd6c","abstract_canon_sha256":"ab3f94b59c7895effab94a1198bfa932104d53b469fa0172ab6c50abfab7fef9"},"schema_version":"1.0"},"canonical_sha256":"3dce0324f5eb9241a5f07172d70e8f061328b42516cdfced92d5924085231668","source":{"kind":"arxiv","id":"2412.03801","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.03801","created_at":"2026-07-05T09:44:41Z"},{"alias_kind":"arxiv_version","alias_value":"2412.03801v1","created_at":"2026-07-05T09:44:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.03801","created_at":"2026-07-05T09:44:41Z"},{"alias_kind":"pith_short_12","alias_value":"HXHAGJHV5OJE","created_at":"2026-07-05T09:44:41Z"},{"alias_kind":"pith_short_16","alias_value":"HXHAGJHV5OJEDJPQ","created_at":"2026-07-05T09:44:41Z"},{"alias_kind":"pith_short_8","alias_value":"HXHAGJHV","created_at":"2026-07-05T09:44:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:HXHAGJHV5OJEDJPQOFZNODUPAY","target":"record","payload":{"canonical_record":{"source":{"id":"2412.03801","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-05T01:45:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e28daddb83dfdb15c289cfb7d1aaace2e7ee80e787f6fe6511fbf2e3dfc0cd6c","abstract_canon_sha256":"ab3f94b59c7895effab94a1198bfa932104d53b469fa0172ab6c50abfab7fef9"},"schema_version":"1.0"},"canonical_sha256":"3dce0324f5eb9241a5f07172d70e8f061328b42516cdfced92d5924085231668","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:44:41.529010Z","signature_b64":"PppPfZJ7937MGDUxR92aPcUjhhL9h82YVIRhwyOEk6DTTlFtKU/u8uf5gRsNPTx7xYu2sYH9v2ZvIhUweSn3AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3dce0324f5eb9241a5f07172d70e8f061328b42516cdfced92d5924085231668","last_reissued_at":"2026-07-05T09:44:41.528557Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:44:41.528557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.03801","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":"2026-07-05T09:44:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jXYKDENHzuVqF/gjzoua2UkUQqukGp3qV27cP6AUAMQjArfOyIRHw3hVFD4eR9RBu7thh5tYevSQp1i3ODlyAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T10:24:24.014030Z"},"content_sha256":"3e70f3cfc7865aeb0ccb3501c3d99276fa642eb5bc7e21611197e569dbc67447","schema_version":"1.0","event_id":"sha256:3e70f3cfc7865aeb0ccb3501c3d99276fa642eb5bc7e21611197e569dbc67447"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:HXHAGJHV5OJEDJPQOFZNODUPAY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Agent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Jialin Wang, Zhihua Duan","submitted_at":"2024-12-05T01:45:12Z","abstract_excerpt":"This paper explores the transformative role of Agent AI and LangGraph in advancing the automation and effectiveness of machine translation (MT). Agents are modular components designed to perform specific tasks, such as translating between particular languages, with specializations like TranslateEnAgent, TranslateFrenchAgent, and TranslateJpAgent for English, French, and Japanese translations, respectively. These agents leverage the powerful semantic capabilities of large language models (LLMs), such as GPT-4o, to ensure accurate, contextually relevant translations while maintaining modularity,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.03801","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/2412.03801/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":"2026-07-05T09:44:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zrrigY4v2yCPPD3DfSwgp230RjwtEnY5u+6rWmrJRvsZcDxmpdiO3NPgY1Vm5xrmnpQT90jnHlxe7SL8WE6iCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T10:24:24.014580Z"},"content_sha256":"d6b926720c5fe545e694b1586de22c715b10a09411b1379ec11064a055f9cf04","schema_version":"1.0","event_id":"sha256:d6b926720c5fe545e694b1586de22c715b10a09411b1379ec11064a055f9cf04"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HXHAGJHV5OJEDJPQOFZNODUPAY/bundle.json","state_url":"https://pith.science/pith/HXHAGJHV5OJEDJPQOFZNODUPAY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HXHAGJHV5OJEDJPQOFZNODUPAY/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":"2026-08-15T10:24:24Z","links":{"resolver":"https://pith.science/pith/HXHAGJHV5OJEDJPQOFZNODUPAY","bundle":"https://pith.science/pith/HXHAGJHV5OJEDJPQOFZNODUPAY/bundle.json","state":"https://pith.science/pith/HXHAGJHV5OJEDJPQOFZNODUPAY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HXHAGJHV5OJEDJPQOFZNODUPAY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HXHAGJHV5OJEDJPQOFZNODUPAY","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":"ab3f94b59c7895effab94a1198bfa932104d53b469fa0172ab6c50abfab7fef9","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-05T01:45:12Z","title_canon_sha256":"e28daddb83dfdb15c289cfb7d1aaace2e7ee80e787f6fe6511fbf2e3dfc0cd6c"},"schema_version":"1.0","source":{"id":"2412.03801","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.03801","created_at":"2026-07-05T09:44:41Z"},{"alias_kind":"arxiv_version","alias_value":"2412.03801v1","created_at":"2026-07-05T09:44:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.03801","created_at":"2026-07-05T09:44:41Z"},{"alias_kind":"pith_short_12","alias_value":"HXHAGJHV5OJE","created_at":"2026-07-05T09:44:41Z"},{"alias_kind":"pith_short_16","alias_value":"HXHAGJHV5OJEDJPQ","created_at":"2026-07-05T09:44:41Z"},{"alias_kind":"pith_short_8","alias_value":"HXHAGJHV","created_at":"2026-07-05T09:44:41Z"}],"graph_snapshots":[{"event_id":"sha256:d6b926720c5fe545e694b1586de22c715b10a09411b1379ec11064a055f9cf04","target":"graph","created_at":"2026-07-05T09:44:41Z","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/2412.03801/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper explores the transformative role of Agent AI and LangGraph in advancing the automation and effectiveness of machine translation (MT). Agents are modular components designed to perform specific tasks, such as translating between particular languages, with specializations like TranslateEnAgent, TranslateFrenchAgent, and TranslateJpAgent for English, French, and Japanese translations, respectively. These agents leverage the powerful semantic capabilities of large language models (LLMs), such as GPT-4o, to ensure accurate, contextually relevant translations while maintaining modularity,","authors_text":"Jialin Wang, Zhihua Duan","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-05T01:45:12Z","title":"Agent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.03801","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":"sha256:3e70f3cfc7865aeb0ccb3501c3d99276fa642eb5bc7e21611197e569dbc67447","target":"record","created_at":"2026-07-05T09:44:41Z","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":"ab3f94b59c7895effab94a1198bfa932104d53b469fa0172ab6c50abfab7fef9","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-05T01:45:12Z","title_canon_sha256":"e28daddb83dfdb15c289cfb7d1aaace2e7ee80e787f6fe6511fbf2e3dfc0cd6c"},"schema_version":"1.0","source":{"id":"2412.03801","kind":"arxiv","version":1}},"canonical_sha256":"3dce0324f5eb9241a5f07172d70e8f061328b42516cdfced92d5924085231668","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3dce0324f5eb9241a5f07172d70e8f061328b42516cdfced92d5924085231668","first_computed_at":"2026-07-05T09:44:41.528557Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:41.528557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PppPfZJ7937MGDUxR92aPcUjhhL9h82YVIRhwyOEk6DTTlFtKU/u8uf5gRsNPTx7xYu2sYH9v2ZvIhUweSn3AA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:41.529010Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.03801","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e70f3cfc7865aeb0ccb3501c3d99276fa642eb5bc7e21611197e569dbc67447","sha256:d6b926720c5fe545e694b1586de22c715b10a09411b1379ec11064a055f9cf04"],"state_sha256":"6b88451ef820809e39a636c95928724ca69ea362ce3df03d578c7aa7d21cc3cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yyxUBP7AG2A8FfAZTus8sVi3Ssrm+tS/CsjfYevL6N7SjdcmWgGeuCbidcPsSaN42STAoF+sPB3Th9yAyyUoCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T10:24:24.021174Z","bundle_sha256":"7b8d207667d0cc2a5102ff50b42199e12ec8102ab9133207b928bdd1ef44d774"}}