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Paper Citation Record · LEDGER

Machine Learning-Based Detection of MCP Attacks

As of 5 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2604.10534.

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

pith.paper-citation-record.v1
2604.10534 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:05:44.862854Z

measured 36 of 36 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy34
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a553a6cb-d06f-41e1-a662-42fe3d4c9ea1 · outbound

This paper cites Introducing the model context proto- col.

Machine Learning-Based Detection of MCP Attacks Introducing the model context proto- col

Reference 1

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verified fuzzy
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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.

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Observation ba0aa1b0-0ae1-4ed8-be8c-aa1d755501f7 · outbound

This paper cites MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security.

Machine Learning-Based Detection of MCP Attacks MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security

Reference 2

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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.

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Observation 9e698b7b-dbfb-433c-aeee-2d9508ecece4 · outbound

This paper cites Machine learning algorithm for detecting suspicious email messages using natural language processing nlp.

Machine Learning-Based Detection of MCP Attacks Machine learning algorithm for detecting suspicious email messages using natural language processing nlp

Reference 3

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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.

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Observation e630b4c8-6e67-4d07-9b79-00d8ad4dd477 · outbound

This paper cites An experimental compari- son of naive bayesian and keyword-based anti-spam filtering with personal e-mail messages.

Machine Learning-Based Detection of MCP Attacks An experimental compari- son of naive bayesian and keyword-based anti-spam filtering with personal e-mail messages

Reference 4

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raw_fallback, observed 2026-05-17T17:01:59.726698Z

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.

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Observation 6af85cc4-e251-4bec-84c0-bbc5783ae486 · outbound

This paper cites A hybrid machine learning ap- proach for securing emails: Phishing detection and prevention.

Machine Learning-Based Detection of MCP Attacks A hybrid machine learning ap- proach for securing emails: Phishing detection and prevention

Reference 5

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raw_fallback, observed 2026-05-17T17:01:59.808229Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:179cfc3d2cea05cd2dd2feed04e0179633644384939b65c86dc67fce1b4ca4b1

Observation fe8f040f-1235-4188-ac03-032753e12ca7 · outbound

This paper cites Mcptox: A benchmark for tool poisoning attack on real-world mcp servers.

Machine Learning-Based Detection of MCP Attacks Mcptox: A benchmark for tool poisoning attack on real-world mcp servers

Reference 6

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verified fuzzy
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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.

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Observation ae33057f-7f84-4d62-828c-424ff18b2b5a · outbound

This paper cites Email spam detection using deep learning approach.

Machine Learning-Based Detection of MCP Attacks Email spam detection using deep learning approach

Reference 7

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verified fuzzy
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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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:bf2f254c091cef45aad99fff8b985c1bb7416688f286a1a9dd6840748f74db1c

Observation 72499a1c-df21-4214-bf49-be51b4abd084 · outbound

This paper cites Outline of a design science research process.

Machine Learning-Based Detection of MCP Attacks Outline of a design science research process

Reference 8

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verified fuzzy
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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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:da6c92805e5b5566cbf482666e6a01e5076c24d120aa474fc8a13fec68ff9211

Observation 03c53758-258e-4bdb-b06c-a43eb8612aed · outbound

This paper cites Guiding the selection of research methodology in industry–academia col- laboration in software engineering.

Machine Learning-Based Detection of MCP Attacks Guiding the selection of research methodology in industry–academia col- laboration in software engineering

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.800161Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:d0b72312fd965ddb0148de08a7803f98b9d9c8722ba6362801e973b278c57d60

Observation d2f880f3-026f-4d31-a887-d7dbb20b4761 · outbound

This paper cites Creswell,Research Design: Qualitative, Quanti- 12 tative, and Mixed Methods Approaches.

Machine Learning-Based Detection of MCP Attacks Creswell,Research Design: Qualitative, Quanti- 12 tative, and Mixed Methods Approaches

Reference 10

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verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.804164Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:6a4a4bcf42da8e1d8616aa789352b3c449367f47d2f1063409b772d96d216f89

Observation 0d3aa0e1-7582-4fc6-bb72-52fce9eb9875 · outbound

This paper cites Berndtsson, J.

Machine Learning-Based Detection of MCP Attacks Berndtsson, J

Reference 11

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verified fuzzy
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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.

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Observation 817a5d9a-3c3c-4ee0-b980-208e01768b29 · outbound

This paper cites Application of a case study methodol- ogy.

Machine Learning-Based Detection of MCP Attacks Application of a case study methodol- ogy

Reference 12

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verified fuzzy
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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.

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Observation 4890cc5f-a130-4041-ba9d-5e44c86e885a · outbound

This paper cites Implementation science for software engineering: bridging the gap between research and practice (keynote).

Machine Learning-Based Detection of MCP Attacks Implementation science for software engineering: bridging the gap between research and practice (keynote)

Reference 13

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:ea95f2c090c748f1a4bdd1dd67d38fd199897c93c557aac9c12616656d449282

Observation b48740b9-5cd6-4a98-bb4c-9445443af23e · outbound

This paper cites Exploring experimental research: Method- ologies, designs, and applications across disci- plines.

Machine Learning-Based Detection of MCP Attacks Exploring experimental research: Method- ologies, designs, and applications across disci- plines

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.780989Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:99078f15bb8a78028149058ef7169d7caa17c150af27b12112646412017e98a1

Observation f7d8ab51-7a60-43d3-b18f-0ea89e5a888d · outbound

This paper cites Middleware for llms: Tools are instrumental for language agents in complex environments.

Machine Learning-Based Detection of MCP Attacks Middleware for llms: Tools are instrumental for language agents in complex environments

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.750479Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:06650b39eb32b0e53dc6a167742939de57e6872922efc946a3ace4dccfe6b029

Observation 09d3c48b-0478-4166-8d41-e10f389e9da9 · outbound

This paper cites Supervised machine learning: A review of classification techniques.

Machine Learning-Based Detection of MCP Attacks Supervised machine learning: A review of classification techniques

Reference 16

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:b9b5e61afcea705524b9c685b77e649dec26c3d5229e5dc43032e0c86cf13fca

Observation cdec3959-ad36-415f-a21d-21969812e20f · outbound

This paper cites Github mcp server registry.

Machine Learning-Based Detection of MCP Attacks Github mcp server registry

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.729584Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:1d13cd53dd8a7c2539251f931d5244c81b44d9b0b1da7a622dc76d31eae46683

Observation b1b324cf-8907-42a0-96b0-daafe5b2e861 · outbound

This paper cites Fastmcp webpage.

Machine Learning-Based Detection of MCP Attacks Fastmcp webpage

Reference 18

Resolution
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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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:2d1ca52a0f447d340ae94a4982ea9fde5ef57fb7ec879b17d23213abed539f1a

Observation 5d49a324-51d0-439d-a017-eaf36293fe22 · outbound

This paper cites Semantics at an angle: When cosine simi- larity works until it doesn’t.

Machine Learning-Based Detection of MCP Attacks Semantics at an angle: When cosine simi- larity works until it doesn’t

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.733405Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:4646a4f5b639dd3a0249bf29053d74e4069cc198f10d0f3fe9487c11d9249afd

Observation 7802f297-8204-4ab0-94a7-b1fcc7e0aabc · outbound

This paper cites Un- derstanding back-translation at scale.

Machine Learning-Based Detection of MCP Attacks Un- derstanding back-translation at scale

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.744058Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:775a7e638a40540479399d6525d130fcca929613edc161f701fa01e13c94ed64

Observation a69dee5b-6eaa-47df-b383-3bd9b9b0617b · outbound

This paper cites The impact of linguistic distance from english on economic growth: A cross-country analysis.

Machine Learning-Based Detection of MCP Attacks The impact of linguistic distance from english on economic growth: A cross-country analysis

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.754592Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:6eb7237318b53a443b6e98db3913621da350b159825bf81237859615bc3d9d9c

Observation 208f3b86-68b4-4c5a-a6fc-dd96391727cf · outbound

This paper cites A framework for rapidly de- veloping and deploying protection against large lan- guage model attacks.

Machine Learning-Based Detection of MCP Attacks A framework for rapidly de- veloping and deploying protection against large lan- guage model attacks

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.702614Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:728f224a443990a560beb8d4609872d842c96ced2c32b592570920adc41b4b7f

Observation affe09e7-5f53-4afb-a71b-4f3a31571250 · outbound

This paper cites Bert: Pre-training of deep bidirectional transform- ers for language understanding.

Machine Learning-Based Detection of MCP Attacks Bert: Pre-training of deep bidirectional transform- ers for language understanding

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.757938Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:5cade7c5421f971b2d148e0e7232b488513ac3b4fa9454d4aafd2786aa102728

Observation e6048e39-1061-4c75-83c8-ba63d15875d0 · outbound

This paper cites A fine-tuned bert-based transfer learning approach for text classification.

Machine Learning-Based Detection of MCP Attacks A fine-tuned bert-based transfer learning approach for text classification

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.764579Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:ab82923ddf30f741aa7e03c4f8fc1a870c71535801cb61f07c044d3ba915f83f

Observation 29e4d176-c77c-4757-9e4d-7ea451729948 · outbound

This paper cites Effec- tive few-shot classification with transfer learning.

Machine Learning-Based Detection of MCP Attacks Effec- tive few-shot classification with transfer learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.751090Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:0850226cd9c18d23e14bb2fc3813b53c52d308b3c1af4a7b2ab37cb64c54578c

Observation a2f4e0cb-ca7b-442b-91b9-c70bc4bfaa83 · outbound

This paper cites Awad and R.

Machine Learning-Based Detection of MCP Attacks Awad and R

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.761245Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:5d451c2b0ab14cee8cfc7c4ec46f2e1e5d6f4eebbdc3562d1f13a42d7b0be740

Observation 5300830a-e4c6-440e-a6e7-f042993b1002 · outbound

This paper cites Svm kernel func- tions for classification.

Machine Learning-Based Detection of MCP Attacks Svm kernel func- tions for classification

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.768321Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:84fc86e2ac7de2e000a269391e248674fe7b7e3d20e1037dfc37a98c60a2fe82

Observation 407877b0-fe67-4881-8945-a04f4bf8046e · outbound

This paper cites Glossary of terms. spe- cial issue of applications of machine learning and the knowledge discovery process.

Machine Learning-Based Detection of MCP Attacks Glossary of terms. spe- cial issue of applications of machine learning and the knowledge discovery process

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.693860Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:5a18e2a1be5d0a1d40ebebf9b2e7315dc1fc7e98985fe214eeb24b4f4885b996

Observation cfedd2d5-106b-4017-9ca9-9746700b89da · outbound

This paper cites 100% classification accuracy considered harmful: The normalized information transfer factor explains the accuracy paradox.

Machine Learning-Based Detection of MCP Attacks 100% classification accuracy considered harmful: The normalized information transfer factor explains the accuracy paradox

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.703235Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:f068e9607a53d2148ca6c0859f9812f35be902eaaed55c663ae6608e695c5fea

Observation 118276e1-bd4c-49b1-95f0-e0ac2c45dbe7 · outbound

This paper cites Calculating precision and recall for multiclass classification using confusion matrix.

Machine Learning-Based Detection of MCP Attacks Calculating precision and recall for multiclass classification using confusion matrix

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.706398Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:e5da0d5a05ebf4183ff955874f75e6f9dbe3025f229995e2ada5183a11c79242

Observation 52090177-d138-4329-b23b-49bc051fe5f2 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Detection of MCP Attacks Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-05-17T17:01:59.710679Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:81de774b4c3fae485acaf3ee77f6a909473f22af77a5c332e6e501102f24a042

Observation 60131e7b-e961-4a3d-bb10-ed0437d3217a · outbound

This paper cites Metrics for multi-class classification: an overview.

Machine Learning-Based Detection of MCP Attacks Metrics for multi-class classification: an overview

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.772449Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:aad0eb2841ab50a5294e072567016911985da050cfe7f97950a0fd382be329e9

Observation aeb30105-6608-444f-8a13-8c49ab0eaf05 · outbound

This paper cites Axiomatic attribution for deep networks.

Machine Learning-Based Detection of MCP Attacks Axiomatic attribution for deep networks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.689550Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:9ea5b78fbb5929cc0ec9250efbe1f4713e61733e3c0da52b429ef45e4d635f63

Observation fe717569-c46e-4e14-8419-76381c28fd88 · outbound

This paper cites Malware detection using automated gener- ation of yara rules on dynamic features.

Machine Learning-Based Detection of MCP Attacks Malware detection using automated gener- ation of yara rules on dynamic features

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.788441Z

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.

source=pdf_text observed=2026-05-10T16:05:44.862854Z digest=sha256:91453c70aa9e06d92e67480d51a51d4cc10c9fd8ccf3c9e477a70b514e55a50b

Observation ef69e473-9284-4d6c-9c89-8ea11222c4b6 · outbound

This paper cites Example clients.

Machine Learning-Based Detection of MCP Attacks Example clients

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:01:59.714165Z

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.

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This paper cites Claude skills: Teach claude your way of working.

Machine Learning-Based Detection of MCP Attacks Claude skills: Teach claude your way of working

Reference 36

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