Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.00121.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-18T06:30:39.858246Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T06:30:59.499585Z
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 eab48532-235f-4542-9644-1d5b533f0ad1 · inbound
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling cites this paper.
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T06:30:59.502641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf724f55-f935-4e62-ba0b-553f91b1b644 · inbound
Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts cites this paper.
Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:35:48.774129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e4be9763-e351-48c1-bb75-2a9280a79105 · inbound
Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models cites this paper.
Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:29:47.772642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.