{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2GXACEZUADW4ZJEP5OSI2M74BW","short_pith_number":"pith:2GXACEZU","canonical_record":{"source":{"id":"2406.06799","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-06-10T21:08:39Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"684b1e248586e14049bf1f44c3e547cb78cca68d0e610e737d66c6a5c11f1d6a","abstract_canon_sha256":"28fcd719b4f48114d10aa51830675db50cea51db6292aa6e351a114cdf9039ee"},"schema_version":"1.0"},"canonical_sha256":"d1ae01133400edcca48feba48d33fc0d909841c19882bb3eddb7518011253bb6","source":{"kind":"arxiv","id":"2406.06799","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06799","created_at":"2026-07-05T09:10:00Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06799v2","created_at":"2026-07-05T09:10:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06799","created_at":"2026-07-05T09:10:00Z"},{"alias_kind":"pith_short_12","alias_value":"2GXACEZUADW4","created_at":"2026-07-05T09:10:00Z"},{"alias_kind":"pith_short_16","alias_value":"2GXACEZUADW4ZJEP","created_at":"2026-07-05T09:10:00Z"},{"alias_kind":"pith_short_8","alias_value":"2GXACEZU","created_at":"2026-07-05T09:10:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2GXACEZUADW4ZJEP5OSI2M74BW","target":"record","payload":{"canonical_record":{"source":{"id":"2406.06799","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-06-10T21:08:39Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"684b1e248586e14049bf1f44c3e547cb78cca68d0e610e737d66c6a5c11f1d6a","abstract_canon_sha256":"28fcd719b4f48114d10aa51830675db50cea51db6292aa6e351a114cdf9039ee"},"schema_version":"1.0"},"canonical_sha256":"d1ae01133400edcca48feba48d33fc0d909841c19882bb3eddb7518011253bb6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:10:00.519496Z","signature_b64":"IihwLWnJB4CmYsXIh8gwkclgwXyvLYK4YlAmGbkoZwJj2ZKGylMtdgvZjAkXa9HhoqLT2cvVAAPcJo4zV8DeBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d1ae01133400edcca48feba48d33fc0d909841c19882bb3eddb7518011253bb6","last_reissued_at":"2026-07-05T09:10:00.519030Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:10:00.519030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.06799","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:10:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2TWFuKZdC7ir2J4hehycK2hiO4fFCeIvUcVo38JNOLFt+T2T7QP6ZGlmXdfdJ2lJ5HRa9TvwukO3yorVBx1UBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T03:59:11.693023Z"},"content_sha256":"6fdb7e8a1577455eb1fac4caf62b73d0e52fbabdad5ac50501e0d32d9e91f272","schema_version":"1.0","event_id":"sha256:6fdb7e8a1577455eb1fac4caf62b73d0e52fbabdad5ac50501e0d32d9e91f272"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2GXACEZUADW4ZJEP5OSI2M74BW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.DC","authors_text":"Andreas Karatzas, Chaehong Lee, Dimitrios Stamoulis, Fuxun Yu, Iraklis Anagnostopoulos, Longfei Shangguan, Michael Fore, Simranjit Singh, Yanan Jian","submitted_at":"2024-06-10T21:08:39Z","abstract_excerpt":"As Large Language Models (LLMs) broaden their capabilities to manage thousands of API calls, they are confronted with complex data operations across vast datasets with significant overhead to the underlying system. In this work, we introduce LLM-dCache to optimize data accesses by treating cache operations as callable API functions exposed to the tool-augmented agent. We grant LLMs the autonomy to manage cache decisions via prompting, seamlessly integrating with existing function-calling mechanisms. Tested on an industry-scale massively parallel platform that spans hundreds of GPT endpoints an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06799","kind":"arxiv","version":2},"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/2406.06799/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":"2026-07-05T09:10:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xOQEg01QRF5ba2ENRdlCdTUpsCCvdA8N8LHSWR2tQPrejpt4/Qmxbjba3Zp82ZKj/g63znXNKaVLYR9PWUm4Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T03:59:11.693550Z"},"content_sha256":"a91463fe13c867aea283076adbd88a268ce486627a71c4d8a95dc3d97c4f9e5d","schema_version":"1.0","event_id":"sha256:a91463fe13c867aea283076adbd88a268ce486627a71c4d8a95dc3d97c4f9e5d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2GXACEZUADW4ZJEP5OSI2M74BW/bundle.json","state_url":"https://pith.science/pith/2GXACEZUADW4ZJEP5OSI2M74BW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2GXACEZUADW4ZJEP5OSI2M74BW/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":"2026-08-06T03:59:11Z","links":{"resolver":"https://pith.science/pith/2GXACEZUADW4ZJEP5OSI2M74BW","bundle":"https://pith.science/pith/2GXACEZUADW4ZJEP5OSI2M74BW/bundle.json","state":"https://pith.science/pith/2GXACEZUADW4ZJEP5OSI2M74BW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2GXACEZUADW4ZJEP5OSI2M74BW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2GXACEZUADW4ZJEP5OSI2M74BW","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":"28fcd719b4f48114d10aa51830675db50cea51db6292aa6e351a114cdf9039ee","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-06-10T21:08:39Z","title_canon_sha256":"684b1e248586e14049bf1f44c3e547cb78cca68d0e610e737d66c6a5c11f1d6a"},"schema_version":"1.0","source":{"id":"2406.06799","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06799","created_at":"2026-07-05T09:10:00Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06799v2","created_at":"2026-07-05T09:10:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06799","created_at":"2026-07-05T09:10:00Z"},{"alias_kind":"pith_short_12","alias_value":"2GXACEZUADW4","created_at":"2026-07-05T09:10:00Z"},{"alias_kind":"pith_short_16","alias_value":"2GXACEZUADW4ZJEP","created_at":"2026-07-05T09:10:00Z"},{"alias_kind":"pith_short_8","alias_value":"2GXACEZU","created_at":"2026-07-05T09:10:00Z"}],"graph_snapshots":[{"event_id":"sha256:a91463fe13c867aea283076adbd88a268ce486627a71c4d8a95dc3d97c4f9e5d","target":"graph","created_at":"2026-07-05T09:10:00Z","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/2406.06799/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As Large Language Models (LLMs) broaden their capabilities to manage thousands of API calls, they are confronted with complex data operations across vast datasets with significant overhead to the underlying system. In this work, we introduce LLM-dCache to optimize data accesses by treating cache operations as callable API functions exposed to the tool-augmented agent. We grant LLMs the autonomy to manage cache decisions via prompting, seamlessly integrating with existing function-calling mechanisms. Tested on an industry-scale massively parallel platform that spans hundreds of GPT endpoints an","authors_text":"Andreas Karatzas, Chaehong Lee, Dimitrios Stamoulis, Fuxun Yu, Iraklis Anagnostopoulos, Longfei Shangguan, Michael Fore, Simranjit Singh, Yanan Jian","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-06-10T21:08:39Z","title":"LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06799","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":"sha256:6fdb7e8a1577455eb1fac4caf62b73d0e52fbabdad5ac50501e0d32d9e91f272","target":"record","created_at":"2026-07-05T09:10:00Z","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":"28fcd719b4f48114d10aa51830675db50cea51db6292aa6e351a114cdf9039ee","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-06-10T21:08:39Z","title_canon_sha256":"684b1e248586e14049bf1f44c3e547cb78cca68d0e610e737d66c6a5c11f1d6a"},"schema_version":"1.0","source":{"id":"2406.06799","kind":"arxiv","version":2}},"canonical_sha256":"d1ae01133400edcca48feba48d33fc0d909841c19882bb3eddb7518011253bb6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d1ae01133400edcca48feba48d33fc0d909841c19882bb3eddb7518011253bb6","first_computed_at":"2026-07-05T09:10:00.519030Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:10:00.519030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IihwLWnJB4CmYsXIh8gwkclgwXyvLYK4YlAmGbkoZwJj2ZKGylMtdgvZjAkXa9HhoqLT2cvVAAPcJo4zV8DeBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:10:00.519496Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.06799","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6fdb7e8a1577455eb1fac4caf62b73d0e52fbabdad5ac50501e0d32d9e91f272","sha256:a91463fe13c867aea283076adbd88a268ce486627a71c4d8a95dc3d97c4f9e5d"],"state_sha256":"79a93414749a7f6700de7ce713626a4005f06e11cf62f852ceb456071e040ada"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XeQ2YbNVtzBYVV4o+KggUdEVP0aaxSiqgP2rspbFHwO8mx2PHPPmfl/BRzwXdWT9TQBZCp6uuXwVvYBppkGgBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T03:59:11.703268Z","bundle_sha256":"f9c24988f01cba13c8792e099db5a306426cb3ec0881069f7d65b9fe066e0d95"}}