Paper Citation Record · LEDGER

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models

As of 5 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2604.20994.

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

pith.paper-citation-record.v1
2604.20994 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T00:02:35.167281Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T17:08:58.831798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T21:07:23.686230Z

Reference resolution

30 of 30 outbound references displayed

verified exact10
verified fuzzy2
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch18

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4be9763-e351-48c1-bb75-2a9280a79105 · outbound

This paper cites Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.

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.

Observation 4b5adb7b-2248-4cc5-a054-bf2d1a76f191 · outbound

This paper cites AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T01:35:51.514012Z

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 6c886954-712d-4542-ac42-c766f3e6cdc6 · outbound

This paper cites Small Language Models are the Future of Agentic AI.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Small Language Models are the Future of Agentic AI

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T11:55:51.260368Z

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 942fe2a4-f747-4c9d-aa45-a1df055c4578 · outbound

This paper cites AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:35:13.649872Z

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 f9ba968a-dc4f-4755-a7b2-b42164db25e1 · outbound

This paper cites Chawla, Olaf Wiest, and Xiangliang Zhang.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Chawla, Olaf Wiest, and Xiangliang Zhang

Reference 5

Resolution: metadata mismatch; doi, observed 2026-05-10T00:04:46.236627Z

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 156d8fa3-11f2-42e5-a6fe-24e5a888c145 · outbound

This paper cites Query-Based Adversarial Prompt Generation.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Query-Based Adversarial Prompt Generation

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:29:47.789994Z

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 d7f29649-64cd-4a86-b9f0-7bcdde9c91f9 · outbound

This paper cites The emerged security and privacy of llm agent: A survey with case studies.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models The emerged security and privacy of llm agent: A survey with case studies

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:29:47.787301Z

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 227a1749-99fb-4149-bae1-a53b15c84a7c · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:02:40.585277Z

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 d56d398c-4e71-4cd6-91c9-fa5700afdec0 · outbound

This paper cites Mistral 7B.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Mistral 7B

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T00:29:47.774935Z

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 95b25623-fede-414c-b7de-4d378bd9519f · outbound

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

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:29:47.784411Z

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 a40a26bd-59da-47bb-b83b-997e5a0930c4 · outbound

This paper cites doi: 10.1007/978-1-4020-5614-7_2569.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models doi: 10.1007/978-1-4020-5614-7_2569

Reference 11

Resolution: verified exact; doi, observed 2026-05-10T00:04:46.238341Z

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 e999f22a-0af0-43b5-95af-3016b0ce9367 · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T16:28:04.131927Z

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 452cc3db-cb36-4c5e-b5e8-bcd4e90e7e7e · outbound

This paper cites Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:29:47.792643Z

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 6f45da65-d33e-4a4d-87f4-1d2a979c383c · outbound

This paper cites GPT-4 Technical Report.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models GPT-4 Technical Report

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-10T00:29:47.728581Z

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 2d04e746-dd57-4d8e-866e-52c4fcad3630 · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Gorilla: Large Language Model Connected with Massive APIs

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:22:17.488448Z

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 7982d7b7-2af6-4a08-a5b1-15d8a876b20f · outbound

This paper cites Qwen3 Technical Report.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Qwen3 Technical Report

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T00:29:47.722945Z

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 c6035f76-126d-426f-8739-e91c2e80ec34 · outbound

This paper cites Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:29:47.734221Z

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 e23a0ec1-bcb9-40b5-b5d6-74cb965e43f5 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T19:57:53.077868Z

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 9c946c59-4198-4ad6-be0a-9ff4891064c5 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models LLaMA: Open and Efficient Foundation Language Models

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T00:29:47.750810Z

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 bb5daf56-e290-461f-a095-2bd4174dd0e7 · outbound

This paper cites Frontiers Comput.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Frontiers Comput

Reference 20

Resolution: metadata mismatch; doi, observed 2026-05-10T00:04:46.240745Z

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 2314d07c-6aad-44e6-8562-809e02a38862 · outbound

This paper cites Mpma: Preference manipulation attack against model context protocol.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Mpma: Preference manipulation attack against model context protocol

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:29:47.753365Z

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 0b3a85a4-9a7b-4349-aa8a-f0e25ef55c1f · outbound

This paper cites Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:29:47.756025Z

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 d694d785-c614-4000-8372-1e35e787a8c8 · outbound

This paper cites The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:29:47.731340Z

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 5d83d633-9d93-4bde-bcee-02774333068e · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T00:29:47.743040Z

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 f11bf409-6bfd-486f-beaf-4fbf122d1bc6 · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:20:44.922788Z

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 f64c2241-ab4f-42e4-8de0-401a934a4e77 · outbound

This paper cites Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:29:47.739027Z

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 00c339ae-648a-41f4-b060-8eb944fbb130 · outbound

This paper cites Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:29:47.748410Z

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 235710f3-2205-4509-96fa-ec57a0c3c973 · outbound

This paper cites Improving Alignment and Robustness with Circuit Breakers.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Improving Alignment and Robustness with Circuit Breakers

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:29:47.745676Z

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 55bc25ac-1d02-482e-befe-76950f5529ff · outbound

This paper cites Figures (1), (2) and (3) detail the prompts used for the reformulation (1) and argument-variation (2), and multi-intent variation (3) strategies, respectively.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Figures (1), (2) and (3) detail the prompts used for the reformulation (1) and argument-variation (2), and multi-intent variation (3) strategies, respectively

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T11:52:56.817923Z

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 cc40ab87-f257-499d-95f7-f05b57d056ad · outbound

This paper cites Specifically, we observe a peak on lower values for strategy (3), representing the queries containing different intents from the original prompt.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Specifically, we observe a peak on lower values for strategy (3), representing the queries containing different intents from the original prompt

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T11:52:56.822538Z

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.

Pith citing papers

Observation 41f00fa2-d1d9-4298-8c44-af22c0bb7a4b · inbound

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T17:08:58.831798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 963af959-715f-47af-b5c2-8fddfb2a0997 · inbound

VATS: Exploiting Implicit Authority in Error-Path Injection via Systematic Mutation cites this paper.

VATS: Exploiting Implicit Authority in Error-Path Injection via Systematic Mutation Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-02T21:07:23.687656Z

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.