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Paper Citation Record · LEDGER

LongFuncEval: Measuring the effectiveness of long context models for function calling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.10570.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.10570 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:39:14.741354Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T19:10:05.100242Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 70870885-cd69-41ea-b6b8-cccbbebe8fe0 · inbound

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls cites this paper.

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls LongFuncEval: Measuring the effectiveness of long context models for function calling

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T21:46:33.279056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:46:33.279056Z digest=sha256:8f6749f1fd8ba42c28574c9cf8b7e267057e5cd3880baabc1820f7db7f7b5da0

Observation bf1952a5-4c2f-4bad-9013-2157c60342ae · inbound

FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks cites this paper.

FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks LongFuncEval: Measuring the effectiveness of long context models for function calling

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:56:00.133797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:54:02.556652Z digest=sha256:31941c70157bf8de4e3d784ea03c5b068243233d46d37b5fbb8e60139d6daca4

Observation dc8f1e4a-774b-4248-be39-8f6a3245cceb · inbound

How Many Tools Should an LLM Agent See? A Chance-Corrected Answer cites this paper.

How Many Tools Should an LLM Agent See? A Chance-Corrected Answer LongFuncEval: Measuring the effectiveness of long context models for function calling

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:24:39.323209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T12:22:59.494989Z digest=sha256:138a9538b5625ccf30d952ae7149dc8809e99be9f0c42c7773b64f259fd0fed6

Observation 8bf300bd-e075-4c1c-a356-1967bba2f63e · inbound

Scaling Enterprise Agent Routing: Degradation, Diagnosis, and Recovery cites this paper.

Scaling Enterprise Agent Routing: Degradation, Diagnosis, and Recovery LongFuncEval: Measuring the effectiveness of long context models for function calling

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:28:55.474630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T01:21:05.583428Z digest=sha256:90a86a9bafcb681ffd3554bb3d3c78fa932f06968caa61938b8e27e61209735f

Observation 5a9a42e0-2d43-47fa-92b5-35fe81990d19 · inbound

Buildrix: An Open Platform for Sharing and Benchmarking Agentic AI Skills in Building Engineering cites this paper.

Buildrix: An Open Platform for Sharing and Benchmarking Agentic AI Skills in Building Engineering LongFuncEval: Measuring the effectiveness of long context models for function calling

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:10:05.101978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T21:42:15.994723Z digest=sha256:630d07099808caae00998e9e8f91d5ec47659349eadabac7857b35e024fc1c9b

Observation cedc7436-85a1-4888-a455-37fd9356302d · inbound

MCP Server Architecture Patterns for LLM-Integrated Applications cites this paper.

MCP Server Architecture Patterns for LLM-Integrated Applications LongFuncEval: Measuring the effectiveness of long context models for function calling

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T14:44:45.899971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T05:18:52.171672Z digest=sha256:6c1cf66b71632e62f87ffa5f9d9183f778febab31e27dd7c8ca563446735a7bf

Observation 6c87a667-9ea6-421d-9a0a-a0c5a32978ed · inbound

Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at Scale cites this paper.

Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at Scale LongFuncEval: Measuring the effectiveness of long context models for function calling

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T00:39:14.741354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:39:14.741354Z digest=sha256:ba21470ad96ac6cbef86f9437f46f0b94424471b8b5211e36eb21446e0a237cc