{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AZR6LBUJHT4HSS7XSPXQIQ2QSU","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":"3bfa432a4bbb057b52d7c9b2cc19a20f7d719a62cb252060a8c2858604a34a5f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T16:44:22Z","title_canon_sha256":"72f290934a1782fda72128a81ca2c9c7fe7f933b266843b29601d567091489d5"},"schema_version":"1.0","source":{"id":"2410.14594","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14594","created_at":"2026-07-05T09:24:00Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14594v2","created_at":"2026-07-05T09:24:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14594","created_at":"2026-07-05T09:24:00Z"},{"alias_kind":"pith_short_12","alias_value":"AZR6LBUJHT4H","created_at":"2026-07-05T09:24:00Z"},{"alias_kind":"pith_short_16","alias_value":"AZR6LBUJHT4HSS7X","created_at":"2026-07-05T09:24:00Z"},{"alias_kind":"pith_short_8","alias_value":"AZR6LBUJ","created_at":"2026-07-05T09:24:00Z"}],"graph_snapshots":[{"event_id":"sha256:1f3d2a990ac2547fa9b535836452b3185bf87fa3bd605773c68579dd4299fe8e","target":"graph","created_at":"2026-07-05T09:24:00Z","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/2410.14594/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in tool-equipped Agents (LLMs) have enabled complex tasks like secure database interactions and multi-agent code development. However, scaling tool capacity beyond agent reasoning or model limits remains a challenge. In this paper, we address these challenges by introducing Toolshed Knowledge Bases, a tool knowledge base (vector database) designed to store enhanced tool representations and optimize tool selection for large-scale tool-equipped Agents. Additionally, we propose Advanced RAG-Tool Fusion, a novel ensemble of tool-applied advanced retrieval-augmented generation (","authors_text":"Austin Huber, Elias Lumer, James A. Burke, Pradeep Honaganahalli Basavaraju, Vamse Kumar Subbiah","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T16:44:22Z","title":"Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14594","kind":"arxiv","version":2},"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":"sha256:94d4b3e274435d9b090f53aa88c1116d2867f7d2df5a6bf8af4a97cffde3184b","target":"record","created_at":"2026-07-05T09:24:00Z","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":"3bfa432a4bbb057b52d7c9b2cc19a20f7d719a62cb252060a8c2858604a34a5f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T16:44:22Z","title_canon_sha256":"72f290934a1782fda72128a81ca2c9c7fe7f933b266843b29601d567091489d5"},"schema_version":"1.0","source":{"id":"2410.14594","kind":"arxiv","version":2}},"canonical_sha256":"0663e586893cf8794bf793ef0443509505cbce53b801d894cf53d1b975eaeb01","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0663e586893cf8794bf793ef0443509505cbce53b801d894cf53d1b975eaeb01","first_computed_at":"2026-07-05T09:24:00.833956Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:24:00.833956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vksd4F1eT2OQRYep3idDa0PrOSPzwjH3M/hJFnUdTKmT4/4ZaOF6AO1MyAtiMz0zo23fgHx8jkC30EEtn0pgCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:24:00.834465Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.14594","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:94d4b3e274435d9b090f53aa88c1116d2867f7d2df5a6bf8af4a97cffde3184b","sha256:1f3d2a990ac2547fa9b535836452b3185bf87fa3bd605773c68579dd4299fe8e"],"state_sha256":"c98ef0f5d27723eac65a307c0e25edba39a8a02d5ecf6738d48e7d74fc35d150"}