{"as_of":"2026-08-14T09:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f9be64174e0e022c47a8e1c8ff840bf44a56c1519bdd9efc6dbd5d3fcfd80855","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T00:39:14.741354Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T19:10:05.100242Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.10570","last_updated":"2025-04-30T15:21:51Z","snapshot_observed_at":"2026-08-14T08:08:10.164645Z","submitted_at":"2025-04-30T15:21:51Z","title":"LongFuncEval: Measuring the effectiveness of long context models for function calling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.10570","snapshot_observed_at":"2026-08-02T21:46:33.279056Z","title":"Longfunceval: Measuring the effectiveness of long context models for func- 12 tion calling, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.19218","last_updated":"2026-06-09T15:02:00Z","snapshot_observed_at":"2026-08-05T17:29:43.215311Z","submitted_at":"2026-02-22T15:02:00Z","title":"Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T21:46:33.279056Z"},"links":{"cited_paper":"/paper/2505.10570","citing_paper":"/paper/2602.19218"},"observation_digest":"sha256:726c7488a30f3dd017923d7b0a5d0f3282ae4d20daa036e3b76178e9e50e717d","observation_id":"70870885-cd69-41ea-b6b8-cccbbebe8fe0","resolution":{"observed_at":"2026-08-02T21:46:33.279056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10570","last_updated":"2025-04-30T15:21:51Z","snapshot_observed_at":"2026-08-14T08:08:10.164645Z","submitted_at":"2025-04-30T15:21:51Z","title":"LongFuncEval: Measuring the effectiveness of long context models for function calling","version":1},"cited_work":{"arxiv_id":"2505.10570","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10570","snapshot_observed_at":"2026-07-04T19:10:05.100242Z","title":"URL https://aclanthology.org/2025.coling-industry.3/","venue":null,"work_id":"a9264ce1-c2f9-4523-9a17-188556edc229","year":2025},"citing_paper":{"arxiv_id":"2604.10015","last_updated":"2026-08-10T15:13:54Z","snapshot_observed_at":"2026-08-13T23:38:45.673077Z","submitted_at":"2026-04-11T03:58:39Z","title":"FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T16:54:02.556652Z"},"links":{"cited_paper":"/paper/2505.10570","citing_paper":"/paper/2604.10015"},"observation_digest":"sha256:53dd41161d79d9cdd1af88b1e412aceaa0b51b6008765d874f7c0f00981237e3","observation_id":"bf1952a5-4c2f-4bad-9013-2157c60342ae","resolution":{"observed_at":"2026-05-11T07:56:00.133797Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10570","last_updated":"2025-04-30T15:21:51Z","snapshot_observed_at":"2026-08-14T08:08:10.164645Z","submitted_at":"2025-04-30T15:21:51Z","title":"LongFuncEval: Measuring the effectiveness of long context models for function calling","version":1},"cited_work":{"arxiv_id":"2505.10570","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10570","snapshot_observed_at":"2026-07-04T19:10:05.100242Z","title":"URL https://aclanthology.org/2025.coling-industry.3/","venue":null,"work_id":"a9264ce1-c2f9-4523-9a17-188556edc229","year":2025},"citing_paper":{"arxiv_id":"2605.24660","last_updated":"2026-06-07T02:58:55Z","snapshot_observed_at":"2026-08-12T22:54:59.017055Z","submitted_at":"2026-05-23T17:02:56Z","title":"How Many Tools Should an LLM Agent See? A Chance-Corrected Answer","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T12:22:59.494989Z"},"links":{"cited_paper":"/paper/2505.10570","citing_paper":"/paper/2605.24660"},"observation_digest":"sha256:e27b216ce732b005bade562271454aa18d12f3427f790ac6fb1c512766cedb80","observation_id":"dc8f1e4a-774b-4248-be39-8f6a3245cceb","resolution":{"observed_at":"2026-06-30T12:24:39.323209Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10570","last_updated":"2025-04-30T15:21:51Z","snapshot_observed_at":"2026-08-14T08:08:10.164645Z","submitted_at":"2025-04-30T15:21:51Z","title":"LongFuncEval: Measuring the effectiveness of long context models for function calling","version":1},"cited_work":{"arxiv_id":"2505.10570","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10570","snapshot_observed_at":"2026-07-04T19:10:05.100242Z","title":"URL https://aclanthology.org/2025.coling-industry.3/","venue":null,"work_id":"a9264ce1-c2f9-4523-9a17-188556edc229","year":2025},"citing_paper":{"arxiv_id":"2606.17519","last_updated":"2026-06-16T04:55:06Z","snapshot_observed_at":"2026-08-12T13:03:46.350670Z","submitted_at":"2026-06-16T04:55:06Z","title":"Scaling Enterprise Agent Routing: Degradation, Diagnosis, and Recovery","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-06-27T01:21:05.583428Z"},"links":{"cited_paper":"/paper/2505.10570","citing_paper":"/paper/2606.17519"},"observation_digest":"sha256:91431ac55be69ea5045aaf1abc6f050c6f6af53b0b01d0937e7a20b067941b3e","observation_id":"8bf300bd-e075-4c1c-a356-1967bba2f63e","resolution":{"observed_at":"2026-07-03T20:28:55.474630Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10570","last_updated":"2025-04-30T15:21:51Z","snapshot_observed_at":"2026-08-14T08:08:10.164645Z","submitted_at":"2025-04-30T15:21:51Z","title":"LongFuncEval: Measuring the effectiveness of long context models for function calling","version":1},"cited_work":{"arxiv_id":"2505.10570","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10570","snapshot_observed_at":"2026-07-04T19:10:05.100242Z","title":"URL https://aclanthology.org/2025.coling-industry.3/","venue":null,"work_id":"a9264ce1-c2f9-4523-9a17-188556edc229","year":2025},"citing_paper":{"arxiv_id":"2606.25139","last_updated":"2026-06-23T20:08:47Z","snapshot_observed_at":"2026-08-14T02:27:27.990505Z","submitted_at":"2026-06-23T20:08:47Z","title":"Buildrix: An Open Platform for Sharing and Benchmarking Agentic AI Skills in Building Engineering","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-25T21:42:15.994723Z"},"links":{"cited_paper":"/paper/2505.10570","citing_paper":"/paper/2606.25139"},"observation_digest":"sha256:a653f1a58cb26382ff256995e221667c5688a1de5a9a32bf20f0ba7aa02f057d","observation_id":"5a9a42e0-2d43-47fa-92b5-35fe81990d19","resolution":{"observed_at":"2026-07-04T19:10:05.101978Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10570","last_updated":"2025-04-30T15:21:51Z","snapshot_observed_at":"2026-08-14T08:08:10.164645Z","submitted_at":"2025-04-30T15:21:51Z","title":"LongFuncEval: Measuring the effectiveness of long context models for function calling","version":1},"cited_work":{"arxiv_id":"2505.10570","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10570","snapshot_observed_at":"2026-07-04T19:10:05.100242Z","title":"URL https://aclanthology.org/2025.coling-industry.3/","venue":null,"work_id":"a9264ce1-c2f9-4523-9a17-188556edc229","year":2025},"citing_paper":{"arxiv_id":"2606.30317","last_updated":"2026-06-29T13:59:41Z","snapshot_observed_at":"2026-07-07T00:04:10.492340Z","submitted_at":"2026-06-29T13:59:41Z","title":"MCP Server Architecture Patterns for LLM-Integrated Applications","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T05:18:52.171672Z"},"links":{"cited_paper":"/paper/2505.10570","citing_paper":"/paper/2606.30317"},"observation_digest":"sha256:43489c6c4a08144b6d1fe1cbdfe52f7a1a6758f343816d0ed2cfc813837eb65c","observation_id":"cedc7436-85a1-4888-a455-37fd9356302d","resolution":{"observed_at":"2026-06-30T14:44:45.899971Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10570","last_updated":"2025-04-30T15:21:51Z","snapshot_observed_at":"2026-08-14T08:08:10.164645Z","submitted_at":"2025-04-30T15:21:51Z","title":"LongFuncEval: Measuring the effectiveness of long context models for function calling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.10570","snapshot_observed_at":"2026-08-06T00:39:14.741354Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01050","last_updated":"2026-08-02T07:32:49Z","snapshot_observed_at":"2026-08-13T03:05:06.744003Z","submitted_at":"2026-08-02T07:32:49Z","title":"Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at Scale","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T00:39:14.741354Z"},"links":{"cited_paper":"/paper/2505.10570","citing_paper":"/paper/2608.01050"},"observation_digest":"sha256:9b4f5b7194c3ac9dade6b1fbc9945f7289ccb33b94ebaf8f13c1532a1d8ba5aa","observation_id":"6c87a667-9ea6-421d-9a0a-a0c5a32978ed","resolution":{"observed_at":"2026-08-06T00:39:14.741354Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.10570/citation-record","integrity":"/paper/2505.10570/integrity","json":"/paper/2505.10570/citation-record.json","paper":"/paper/2505.10570"},"outbound":[],"paper":{"arxiv_id":"2505.10570","last_updated":"2025-04-30T15:21:51Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-14T08:08:10.164645Z","submitted_at":"2025-04-30T15:21:51Z","title":"LongFuncEval: Measuring the effectiveness of long context models for function calling"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.10570."}