Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T04:51:01.004943Z
Paper Citation Record · LEDGER
Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling
As of 14 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 4 inbound Pith citation observations for arXiv:2508.02979.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T14:08:21.057578Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:18:22.509816Z
Reference resolution
6 of 6 outbound references displayed
- verified exact0
- verified fuzzy1
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b18ee1ad-ade1-4de7-9a35-9c273f8af5dc · outbound
This paper cites A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP).
Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:51:00.443262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a484a8f1-47b4-4300-9204-a8d25ced0428 · outbound
This paper cites Tool Learning with Foundation Models.
Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling Tool Learning with Foundation Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:51:00.547669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14a1fd83-76a1-4a87-a320-3362235e0945 · outbound
This paper cites In Proceedings of the ACM on Web Conference 2025 , 2222–.
Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling In Proceedings of the ACM on Web Conference 2025 , 2222–
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:51:01.392377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5ac9712b-dec2-490a-ab39-b76cf428c3fc · outbound
This paper cites A Survey of AI Agent Protocols.
Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling A Survey of AI Agent Protocols
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:51:01.004943Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9eb8ce87-4fc7-459b-b00b-fa0545495587 · outbound
This paper cites LLM With Tools: A Survey.
Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling LLM With Tools: A Survey
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:51:00.713429Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83a759ce-0b8f-47ba-9e28-d31163f1e5c4 · outbound
This paper cites arXiv preprint arXiv:2504.08999.
Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling arXiv preprint arXiv:2504.08999
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:51:00.338414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 5af22d0b-5b52-45d0-8f14-3339bcefcbe3 · inbound
Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? cites this paper.
Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:56:33.566735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8b229ad1-565f-464c-89e7-13e3e1e30ae8 · inbound
SelfHeal: Empirical Fix Pattern Analysis and Bug Repair in LLM Agents cites this paper.
SelfHeal: Empirical Fix Pattern Analysis and Bug Repair in LLM Agents Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:33:41.986336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c323ccd9-c6c7-45b2-9c93-9b5545ecf54a · inbound
Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code cites this paper.
Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:18:22.511225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 95e27a1b-68ae-40e5-9d55-b51be1fbda03 · inbound
A Large-Scale Dataset of MCP Implementations on GitHub cites this paper.
A Large-Scale Dataset of MCP Implementations on GitHub Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T14:08:21.057578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.