{"as_of":"2026-08-20T03:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77b9cb631b81d25fc1cf8f15ffbdb168fe577b0034a9b29fc0a2daf3bc565992","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:16:35.372293Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.07575","last_updated":"2025-08-11T03:16:02Z","snapshot_observed_at":"2026-08-15T09:21:59.647936Z","submitted_at":"2025-08-11T03:16:02Z","title":"MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.07575","snapshot_observed_at":"2026-08-02T23:04:28.973528Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.14878","last_updated":"2026-05-31T05:10:10Z","snapshot_observed_at":"2026-08-15T03:13:00.015257Z","submitted_at":"2026-02-16T16:10:11Z","title":"Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T23:04:28.973528Z"},"links":{"cited_paper":"/paper/2508.07575","citing_paper":"/paper/2602.14878"},"observation_digest":"sha256:635a38b378c4eca48a5080d084078315212e7a25570cae20a2403404d81329f0","observation_id":"8e163f80-f762-439b-b2f0-97706eb0747a","resolution":{"observed_at":"2026-08-02T23:04:28.973528Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07575","last_updated":"2025-08-11T03:16:02Z","snapshot_observed_at":"2026-08-15T09:21:59.647936Z","submitted_at":"2025-08-11T03:16:02Z","title":"MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark","version":1},"cited_work":{"arxiv_id":"2508.07575","doi":"10.48550/arxiv.2508.07575","metadata_source":"pith","pith_arxiv_id":"2508.07575","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mcptoolbench++: A large scale ai agent model context protocol mcp tool use benchmark","venue":"cs.AI","work_id":"795e1706-d2d2-4ab1-927d-732cf5a66047","year":2025},"citing_paper":{"arxiv_id":"2604.14723","last_updated":"2026-04-16T07:33:16Z","snapshot_observed_at":"2026-08-12T02:44:09.879483Z","submitted_at":"2026-04-16T07:33:16Z","title":"Bounded Autonomy for Enterprise AI: Typed Action Contracts and Consumer-Side Execution","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T11:15:55.974291Z"},"links":{"cited_paper":"/paper/2508.07575","citing_paper":"/paper/2604.14723"},"observation_digest":"sha256:4a48c235f54875e7c5140987696a616a3f91900b434b5f6baa0b47587cda1970","observation_id":"e1caa4c6-4ce2-41b5-94f6-60b5bf8456f0","resolution":{"observed_at":"2026-05-10T11:20:11.016489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07575","last_updated":"2025-08-11T03:16:02Z","snapshot_observed_at":"2026-08-15T09:21:59.647936Z","submitted_at":"2025-08-11T03:16:02Z","title":"MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark","version":1},"cited_work":{"arxiv_id":"2508.07575","doi":"10.48550/arxiv.2508.07575","metadata_source":"pith","pith_arxiv_id":"2508.07575","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mcptoolbench++: A large scale ai agent model context protocol mcp tool use benchmark","venue":"cs.AI","work_id":"795e1706-d2d2-4ab1-927d-732cf5a66047","year":2025},"citing_paper":{"arxiv_id":"2604.17234","last_updated":"2026-04-19T03:38:10Z","snapshot_observed_at":"2026-08-14T09:10:58.720945Z","submitted_at":"2026-04-19T03:38:10Z","title":"From Language to Action: Enhancing LLM Task Efficiency with Task-Aware MCP Server Recommendation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-10T06:20:49.799989Z"},"links":{"cited_paper":"/paper/2508.07575","citing_paper":"/paper/2604.17234"},"observation_digest":"sha256:32348479d5033ab9752cb9342635c2c54ffea2f5dd41a3cf001539aa45e16f40","observation_id":"7573f259-6682-4913-8814-01e4ab279b3e","resolution":{"observed_at":"2026-05-10T06:21:26.753174Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07575","last_updated":"2025-08-11T03:16:02Z","snapshot_observed_at":"2026-08-15T09:21:59.647936Z","submitted_at":"2025-08-11T03:16:02Z","title":"MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark","version":1},"cited_work":{"arxiv_id":"2508.07575","doi":"10.48550/arxiv.2508.07575","metadata_source":"pith","pith_arxiv_id":"2508.07575","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mcptoolbench++: A large scale ai agent model context protocol mcp tool use benchmark","venue":"cs.AI","work_id":"795e1706-d2d2-4ab1-927d-732cf5a66047","year":2025},"citing_paper":{"arxiv_id":"2605.15963","last_updated":"2026-05-15T13:55:05Z","snapshot_observed_at":"2026-08-15T09:21:14.455309Z","submitted_at":"2026-05-15T13:55:05Z","title":"PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-20T18:46:20.417039Z"},"links":{"cited_paper":"/paper/2508.07575","citing_paper":"/paper/2605.15963"},"observation_digest":"sha256:e51e2fce0867b0dc240c206e2349f9ec7c67a3121e0b84446bec77f757bacef6","observation_id":"43d881f9-c5d3-4b2a-b9f9-2c64fc00c615","resolution":{"observed_at":"2026-05-20T18:48:53.344608Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07575","last_updated":"2025-08-11T03:16:02Z","snapshot_observed_at":"2026-08-15T09:21:59.647936Z","submitted_at":"2025-08-11T03:16:02Z","title":"MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark","version":1},"cited_work":{"arxiv_id":"2508.07575","doi":"10.48550/arxiv.2508.07575","metadata_source":"pith","pith_arxiv_id":"2508.07575","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mcptoolbench++: A large scale ai agent model context protocol mcp tool use benchmark","venue":"cs.AI","work_id":"795e1706-d2d2-4ab1-927d-732cf5a66047","year":2025},"citing_paper":{"arxiv_id":"2605.16909","last_updated":"2026-05-16T09:49:25Z","snapshot_observed_at":"2026-08-15T14:15:47.623703Z","submitted_at":"2026-05-16T09:49:25Z","title":"TOBench: A Task-Oriented Omni-Modal Benchmark for Real-World Tool-Using Agents","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-19T20:43:16.364125Z"},"links":{"cited_paper":"/paper/2508.07575","citing_paper":"/paper/2605.16909"},"observation_digest":"sha256:ecea0ed16cb45d84923d7861ad7eac4bb718cc541cba6462ef6b527b7931fe70","observation_id":"a3ab95a3-e293-465f-aa25-c26d30f8a905","resolution":{"observed_at":"2026-05-19T20:47:45.960965Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07575","last_updated":"2025-08-11T03:16:02Z","snapshot_observed_at":"2026-08-15T09:21:59.647936Z","submitted_at":"2025-08-11T03:16:02Z","title":"MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark","version":1},"cited_work":{"arxiv_id":"2508.07575","doi":"10.48550/arxiv.2508.07575","metadata_source":"pith","pith_arxiv_id":"2508.07575","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mcptoolbench++: A large scale ai agent model context protocol mcp tool use benchmark","venue":"cs.AI","work_id":"795e1706-d2d2-4ab1-927d-732cf5a66047","year":2025},"citing_paper":{"arxiv_id":"2605.29676","last_updated":"2026-06-17T13:13:19Z","snapshot_observed_at":"2026-08-17T01:50:41.924520Z","submitted_at":"2026-05-28T09:38:13Z","title":"Notation Matters: A Benchmark Study of Token-Optimized Formats in Agentic AI Systems","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T07:13:03.046209Z"},"links":{"cited_paper":"/paper/2508.07575","citing_paper":"/paper/2605.29676"},"observation_digest":"sha256:db498c7bee4a1ebb88abede216f541d2f1c29470ed9a295179bb9e8220c017b9","observation_id":"a14d0b4e-f880-4185-b1cf-f0495ab103b2","resolution":{"observed_at":"2026-06-29T07:13:16.020360Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07575","last_updated":"2025-08-11T03:16:02Z","snapshot_observed_at":"2026-08-15T09:21:59.647936Z","submitted_at":"2025-08-11T03:16:02Z","title":"MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark","version":1},"cited_work":{"arxiv_id":"2508.07575","doi":"10.48550/arxiv.2508.07575","metadata_source":"pith","pith_arxiv_id":"2508.07575","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mcptoolbench++: A large scale ai agent model context protocol mcp tool use benchmark","venue":"cs.AI","work_id":"795e1706-d2d2-4ab1-927d-732cf5a66047","year":2025},"citing_paper":{"arxiv_id":"2606.12191","last_updated":"2026-06-10T15:15:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-10T15:15:01Z","title":"Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application","version":1},"reference_index":137,"source":"pdf_text","source_observed_at":"2026-06-27T09:46:30.702256Z"},"links":{"cited_paper":"/paper/2508.07575","citing_paper":"/paper/2606.12191"},"observation_digest":"sha256:d712998f6334ef8a8f7ee60aaa0207d10b382ac43a33c26e57bfcf9e64172a6f","observation_id":"75f8d9f7-2a25-42d7-97b3-403b15312cce","resolution":{"observed_at":"2026-06-27T09:50:48.434263Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07575","last_updated":"2025-08-11T03:16:02Z","snapshot_observed_at":"2026-08-15T09:21:59.647936Z","submitted_at":"2025-08-11T03:16:02Z","title":"MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark","version":1},"cited_work":{"arxiv_id":"2508.07575","doi":"10.48550/arxiv.2508.07575","metadata_source":"pith","pith_arxiv_id":"2508.07575","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mcptoolbench++: A large scale ai agent model context protocol mcp tool use benchmark","venue":"cs.AI","work_id":"795e1706-d2d2-4ab1-927d-732cf5a66047","year":2025},"citing_paper":{"arxiv_id":"2607.07461","last_updated":"2026-07-08T14:29:23Z","snapshot_observed_at":"2026-08-15T01:33:12.143322Z","submitted_at":"2026-07-08T14:29:23Z","title":"Mitigating Taint-Style Vulnerabilities in MCP Servers via Security-Aware Tool Descriptions","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-09T10:22:23.782469Z"},"links":{"cited_paper":"/paper/2508.07575","citing_paper":"/paper/2607.07461"},"observation_digest":"sha256:ad0b28adb9bc4999400ec4588a526bf526c1f1e34d1e5a0cf79e162bf256d078","observation_id":"89ee4932-e0ad-4eab-831e-e61d49505e89","resolution":{"observed_at":"2026-07-09T10:26:11.138455Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07575","last_updated":"2025-08-11T03:16:02Z","snapshot_observed_at":"2026-08-15T09:21:59.647936Z","submitted_at":"2025-08-11T03:16:02Z","title":"MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.07575","snapshot_observed_at":"2026-08-15T14:16:35.372293Z","title":"Mcptoolbench++: A large scale ai agent model context protocol mcp tool use benchmark, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11386","last_updated":"2026-08-11T19:50:56Z","snapshot_observed_at":"2026-08-19T09:05:50.511243Z","submitted_at":"2026-08-11T19:50:56Z","title":"The Devil Is in the Interface: Evaluating How Tool Architecture Shapes Coding Agent Behavior","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T14:16:35.372293Z"},"links":{"cited_paper":"/paper/2508.07575","citing_paper":"/paper/2608.11386"},"observation_digest":"sha256:2c8345ca748baecded9bffd7a8ac1d98796c47444227c8b2209e527190598e8e","observation_id":"b13ba8a8-900e-4968-b83f-0f32fd7b55f7","resolution":{"observed_at":"2026-08-15T14:16:35.372293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.07575/citation-record","integrity":"/paper/2508.07575/integrity","json":"/paper/2508.07575/citation-record.json","paper":"/paper/2508.07575"},"outbound":[],"paper":{"arxiv_id":"2508.07575","last_updated":"2025-08-11T03:16:02Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-15T09:21:59.647936Z","submitted_at":"2025-08-11T03:16:02Z","title":"MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2508.07575."}