{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:A3LZC2HWNS2NQHESJTVCR6TZSF","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":"f9f1c8c53c5e0721d48d44efc238a3875cf98ec779da2fdb89c6b40f430b0c6b","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-02-15T16:15:38Z","title_canon_sha256":"07c494852a5586371dd8843c071bee9f8983c6d53a8be6c5ca12aeeb8a1e1f4a"},"schema_version":"1.0","source":{"id":"2402.10051","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10051","created_at":"2026-07-05T07:45:40Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10051v1","created_at":"2026-07-05T07:45:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10051","created_at":"2026-07-05T07:45:40Z"},{"alias_kind":"pith_short_12","alias_value":"A3LZC2HWNS2N","created_at":"2026-07-05T07:45:40Z"},{"alias_kind":"pith_short_16","alias_value":"A3LZC2HWNS2NQHES","created_at":"2026-07-05T07:45:40Z"},{"alias_kind":"pith_short_8","alias_value":"A3LZC2HW","created_at":"2026-07-05T07:45:40Z"}],"graph_snapshots":[{"event_id":"sha256:010f6fad22a5c251ebd32b5b1e609616c88e96131e39d56f731ea79f791df35f","target":"graph","created_at":"2026-07-05T07:45:40Z","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/2402.10051/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Large Language Models (LLMs) have demonstrated enhanced capabilities in function-calling, these advancements primarily rely on accessing the functions' responses. This methodology is practical for simpler APIs but faces scalability issues with irreversible APIs that significantly impact the system, such as a database deletion API. Similarly, processes requiring extensive time for each API call and those necessitating forward planning, like automated action pipelines, present complex challenges. Furthermore, scenarios often arise where a generalized approach is needed because algorithms l","authors_text":"Dhruv Jain, Eshaan Agarwal, Raunak Pandey, Somnath Sendhil Kumar","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-02-15T16:15:38Z","title":"SwissNYF: Tool Grounded LLM Agents for Black Box Setting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10051","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":"sha256:899cfa2b69c6fbecdaf8df7be60e00216141c21488d327f766202352da2dcb82","target":"record","created_at":"2026-07-05T07:45:40Z","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":"f9f1c8c53c5e0721d48d44efc238a3875cf98ec779da2fdb89c6b40f430b0c6b","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-02-15T16:15:38Z","title_canon_sha256":"07c494852a5586371dd8843c071bee9f8983c6d53a8be6c5ca12aeeb8a1e1f4a"},"schema_version":"1.0","source":{"id":"2402.10051","kind":"arxiv","version":1}},"canonical_sha256":"06d79168f66cb4d81c924cea28fa799156bf5f0d23c902f1ffacdfb9edf55854","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06d79168f66cb4d81c924cea28fa799156bf5f0d23c902f1ffacdfb9edf55854","first_computed_at":"2026-07-05T07:45:40.721734Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:45:40.721734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3amy2LcbxxlWosSHU+XRxm8koDqX5jkPrt46PSndoiVHQFIJjTn+L6xMBbD9rFzRY/ZbxrxOGz17y0YWQN7wBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:45:40.722231Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.10051","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:899cfa2b69c6fbecdaf8df7be60e00216141c21488d327f766202352da2dcb82","sha256:010f6fad22a5c251ebd32b5b1e609616c88e96131e39d56f731ea79f791df35f"],"state_sha256":"c268ebd4869437d504357f406c2f31ccc66b9a44bcb5753a5c90f866c29e6cd4"}