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Paper Citation Record · LEDGER

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.15491.

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

pith.paper-citation-record.v1
2402.15491 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:01:53.860945Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:32:30.863759Z

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 3e32b109-18b9-407b-b423-c888657dd724 · inbound

Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling cites this paper.

Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T06:01:53.860945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:01:53.860945Z digest=sha256:0c2a74764f76e04bfaa9e2f75877e118d67b326b2adfccaeeee50537f6ab2fd1

Observation ace2d624-af41-4043-99fc-7f8c256c5689 · inbound

DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues cites this paper.

DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T22:02:37.949602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:02:37.949602Z digest=sha256:6bf56bc197ffbb81cc535404509d91439a2606b8a0d5a45bfd68c6b0a39383b8

Observation 75495749-3c78-47fe-9d8c-6bb24b37d1b5 · inbound

An Auditable Agent Platform For Automated Molecular Optimisation cites this paper.

An Auditable Agent Platform For Automated Molecular Optimisation API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:32:30.934078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T04:32:28.921716Z digest=sha256:ebe8c0d068fb7865b5ce984b9af645a55c4ca442414f3ec439f4afc434ef81eb