{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:67G2M2332YFH62KF3NAVRZJ5Y5","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":"a60c27832f3e801890a17893d4db08c03768027db393544a5cf3e4aa3463bc9f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-11T13:52:52Z","title_canon_sha256":"867dcfbcc12fe6b47314f48f2554dc7e9f479912d6de71861a5de235a2d4da9d"},"schema_version":"1.0","source":{"id":"2509.09470","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.09470","created_at":"2026-07-05T12:09:46Z"},{"alias_kind":"arxiv_version","alias_value":"2509.09470v1","created_at":"2026-07-05T12:09:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.09470","created_at":"2026-07-05T12:09:46Z"},{"alias_kind":"pith_short_12","alias_value":"67G2M2332YFH","created_at":"2026-07-05T12:09:46Z"},{"alias_kind":"pith_short_16","alias_value":"67G2M2332YFH62KF","created_at":"2026-07-05T12:09:46Z"},{"alias_kind":"pith_short_8","alias_value":"67G2M233","created_at":"2026-07-05T12:09:46Z"}],"graph_snapshots":[{"event_id":"sha256:53164d72c61a96cd3a48c92cdb831aa33c70a79996c12aedbc945ae795f2d29d","target":"graph","created_at":"2026-07-05T12:09:46Z","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/2509.09470/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Keeping pace with the rapid growth of academia literature presents a significant challenge for researchers, funding bodies, and academic societies. To address the time-consuming manual effort required for scholarly discovery, we present a novel, fully automated system that transitions from data discovery to direct action. Our pipeline demonstrates how a specialized AI agent, 'Agent-E', can be tasked with identifying papers from specific geographic regions within conference proceedings and then executing a Robotic Process Automation (RPA) to complete a predefined action, such as submitting a no","authors_text":"Deepak Akkil, Harshad Khadilkar, Om Vishesh","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-11T13:52:52Z","title":"AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.09470","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:fd27b29bee724bb52ffc5bd25006565a3bbf311e82c3f7de2741b460089c88fd","target":"record","created_at":"2026-07-05T12:09:46Z","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":"a60c27832f3e801890a17893d4db08c03768027db393544a5cf3e4aa3463bc9f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-11T13:52:52Z","title_canon_sha256":"867dcfbcc12fe6b47314f48f2554dc7e9f479912d6de71861a5de235a2d4da9d"},"schema_version":"1.0","source":{"id":"2509.09470","kind":"arxiv","version":1}},"canonical_sha256":"f7cda66b7bd60a7f6945db4158e53dc76133d5767c72783d8276d21a20af4f88","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7cda66b7bd60a7f6945db4158e53dc76133d5767c72783d8276d21a20af4f88","first_computed_at":"2026-07-05T12:09:46.784473Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:09:46.784473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LIl8GUiqp0alu7sxETDuykXYxwOYdyb7IDW5LaaemnOiXtyUci6wPmCWtVWB3R3Q7Wnb50lZuMm4MnVSA76FDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:09:46.784963Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.09470","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd27b29bee724bb52ffc5bd25006565a3bbf311e82c3f7de2741b460089c88fd","sha256:53164d72c61a96cd3a48c92cdb831aa33c70a79996c12aedbc945ae795f2d29d"],"state_sha256":"f2326cadd791e76ef37a55e2dcc40a52b3a976d1dbadfe79014f7737ba2abc7a"}