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Paper Citation Record · LEDGER

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 18 inbound Pith citation observations for arXiv:2506.01056.

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

pith.paper-citation-record.v1
2506.01056 v4

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:27.220112Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:04:47.054893Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:59:47.057749Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b83ee6a-e107-4e08-a0d5-18372fe68f98 · outbound

This paper cites GPT-4 Technical Report.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-07T11:56:24.459664Z digest=sha256:21cda75c2afde8776700936d07aeb786fcb5c2b8c8cfbef8ffdd498b90726fca

Observation a229cae7-d797-40ae-90f7-85e1682e1383 · outbound

This paper cites Model context protocol.https://docs.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Model context protocol.https://docs

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:56:24.554735Z digest=sha256:c7e2eb40edda1ad54be431a386db0e4647efcb4f868ee361ddee3ce8342eac2f

Observation c60ca568-bf37-40e7-b36a-b8d33364b9ee · outbound

This paper cites Improving language models by retriev- ing from trillions of tokens.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Improving language models by retriev- ing from trillions of tokens

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:56:24.694209Z digest=sha256:ac4731efe70342ba7569c4646292bf83f0262c257fa21d79f2136b94967453c4

Observation fb47aab9-625e-4984-a48e-5c5fd5ab5a91 · outbound

This paper cites Langchain.https://github.com/ langchain-ai/langchain, 2022.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Langchain.https://github.com/ langchain-ai/langchain, 2022

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:56:24.800895Z digest=sha256:1c7b8e881b9921d52556bbdf7c5fff39d840e83cce3c6242fe33097a90017a03

Observation 935e4ec2-e6e7-4a08-bf54-c3b082e1b512 · outbound

This paper cites Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:56:24.880346Z digest=sha256:118ac0b2f5298e6f4e3d3f2de617ce7282f1dcd1259fc71e81f551c46628731e

Observation 86f3b13b-70a2-4677-b8e6-dcabb51cd6fc · outbound

This paper cites AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls

Reference 6

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source=pdf_text observed=2026-08-07T11:56:24.952191Z digest=sha256:b555b3b2f60a215aa07bfaa91015fbdaf8d7c954d1849ee1a873af09363e1ced

Observation d42f85ba-7247-469c-ac92-86226cee5dd4 · outbound

This paper cites RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation

Reference 7

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source=pdf_text observed=2026-08-07T11:56:25.029907Z digest=sha256:10e0a32c38038aeb6cd036fb558484dfb5cc807d3bc0165503e14d0daf78cd3b

Observation 6e00ca91-fa9f-4ed6-922f-8027f90487e5 · outbound

This paper cites The Llama 3 Herd of Models.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents The Llama 3 Herd of Models

Reference 8

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source=pdf_text observed=2026-08-07T11:56:25.106250Z digest=sha256:4b7415b44c040d5ed9d11a5580f132cfff0affe3477d15a6d06ff8e3b82687e6

Observation c0bef6a7-c78d-41e3-a1bd-c5f4330082bf · outbound

This paper cites Retrieval augmented language model pre- training.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Retrieval augmented language model pre- training

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:56:25.226400Z digest=sha256:2bee65505ed9af9172a00666958fbe82590f644ccd415de7f437267df48c9e9f

Observation a3996d1f-892a-40d2-aa07-d45a45ebbc62 · outbound

This paper cites MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Reference 10

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source=pdf_text observed=2026-08-07T11:56:25.300671Z digest=sha256:84ed2b3ff6f4804c27e952e45ba9ed7f1851d6782ab8b1116e3cc5c9b68d47ab

Observation e8834cf1-b43f-4abe-93ba-658dd0a38113 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020

Reference 11

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:56:25.376869Z digest=sha256:0fe8a6a6ddb51c0442ee2e35fdb21a4cd9b67affcfd551acdc18b39c6343ba9b

Observation d9cd42b4-7d6f-46cc-afe1-52765e1357df · outbound

This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Reference 12

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source=pdf_text observed=2026-08-07T11:56:25.466965Z digest=sha256:4f2f3eae3efc2390da97f592e7f537444927491c8d7af2974fd02eebf35bd542

Observation 7f174abc-1d7b-4c90-bbb8-d21153a07053 · outbound

This paper cites Evaluation Report on MCP Servers.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Evaluation Report on MCP Servers

Reference 13

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source=pdf_text observed=2026-08-07T11:56:25.566246Z digest=sha256:041e5c3471fe9aaffbc6b5f47382b188de3128bb7b35fd6cce1b292283ec58f6

Observation 332b2005-70d7-4e7f-b265-55a477f1181f · outbound

This paper cites The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

Reference 14

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source=pdf_text observed=2026-08-07T11:56:25.651731Z digest=sha256:180d4b645667748f8fb0ff17cf608e59a55adb495c03703782bec57f1604058f

Observation fe1538a0-8b28-4f4e-b6fc-6f5f11592a60 · outbound

This paper cites Efficient and Scalable Estimation of Tool Representations in Vector Space.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Efficient and Scalable Estimation of Tool Representations in Vector Space

Reference 15

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source=pdf_text observed=2026-08-07T11:56:25.743551Z digest=sha256:8faebd1906ebe1564edf6b2e693e4fbe215f3e7cfc45a705235351bfbe3c2ac4

Observation 8877cecc-31bd-4eb5-b227-efda52236f96 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents WebGPT: Browser-assisted question-answering with human feedback

Reference 16

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source=pdf_text observed=2026-08-07T11:56:25.836058Z digest=sha256:1173eb76e3588af7cdecdb5cf75cb75dcf9988db313c1b3026f2f88696439ff1

Observation 1dc7353c-b9c2-4bbc-a0a0-3d3436c196b7 · outbound

This paper cites ART: Automatic multi-step reasoning and tool-use for large language models.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents ART: Automatic multi-step reasoning and tool-use for large language models

Reference 17

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source=pdf_text observed=2026-08-07T11:56:25.901246Z digest=sha256:86384212dd2aa1f493927c988b9be42f2e1a9535d4e714280263544be43fd574

Observation 67d3ae50-31bd-48e0-bfe3-0499ec785bec · outbound

This paper cites Gorilla: Large language model connected with massive apis.Advances in Neural Information Processing Systems, 37:126544–126565, 2024.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Gorilla: Large language model connected with massive apis.Advances in Neural Information Processing Systems, 37:126544–126565, 2024

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:56:25.978083Z digest=sha256:c8bdb954d469dc018972f19ec5a4f299ca1a30c5ad631cc345791d17bd98bc51

Observation cae4f091-222e-4b42-865f-ce4556497dff · outbound

This paper cites Revisiting, bench- marking and exploring api recommendation: How far are we?IEEE Transactions on Software Engineering, 49(4): 1876–1897, 2022.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Revisiting, bench- marking and exploring api recommendation: How far are we?IEEE Transactions on Software Engineering, 49(4): 1876–1897, 2022

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:56:26.046338Z digest=sha256:cfcc925ac1c768a6af1f4562246b265ae984ba70787e4af6fcd6829421ed7707

Observation 55185c6d-27f7-48cd-a017-1ebee5d9bcba · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 20

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source=pdf_text observed=2026-08-07T11:56:26.122931Z digest=sha256:499a5107d022b1edcae4aa788227b08e875bd709aebe6350a6cdf452b5fbee17

Observation d99f19c3-1b19-4b79-9e16-d25aae306a6c · outbound

This paper cites Tool learning with foundation models.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Tool learning with foundation models

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:56:26.217643Z digest=sha256:8ccf7cde035e05720a03ca6b50cccd7aa2bc01de5a6c5df65405e683635a43ba

Observation 1923131d-1218-4685-aadd-1f13e30e0cbf · outbound

This paper cites Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

Reference 22

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source=pdf_text observed=2026-08-07T11:56:26.312240Z digest=sha256:580e8fc476055c94074d14c2c0823c690a343c3aa7141dff617acfcb06c1aefc

Observation feb953cf-4d6e-4675-b1ff-11fab9798a00 · outbound

This paper cites Colt: Towards completeness-oriented tool retrieval for large language models.arXiv e-prints, pages arXiv–2405, 2024.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Colt: Towards completeness-oriented tool retrieval for large language models.arXiv e-prints, pages arXiv–2405, 2024

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:56:26.383452Z digest=sha256:968c6199da2375d0d209ee8fd657b2fee344bbfd49fb0890a5d04a38b603094f

Observation d321ed0c-8fca-4fbc-8153-7f190722c98f · outbound

This paper cites Qwen2.5 technical report, 2025.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Qwen2.5 technical report, 2025

Reference 24

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source=pdf_text observed=2026-08-07T11:56:26.464111Z digest=sha256:d9959fd477f7e8849e6ec212332d2cca878458d5175165188f4d99cbd39de6e6

Observation 4daf7bc2-98ec-41f0-b805-aeb7528519c6 · outbound

This paper cites In- context retrieval-augmented language models.Transactions of the Association for Computational Linguistics, 11:1316– 1331, 2023.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents In- context retrieval-augmented language models.Transactions of the Association for Computational Linguistics, 11:1316– 1331, 2023

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:56:26.557902Z digest=sha256:d29cd1463e852dbc8c57782b4a5dc5a0aad613ed6d98cbebfd918c73914fafca

Observation 694d94e3-e939-43a2-ac55-7eb66b22ad7e · outbound

This paper cites Toolformer: Lan- guage models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539–68551,.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Toolformer: Lan- guage models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539–68551,

Reference 26

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source=pdf_text observed=2026-08-07T11:56:26.653889Z digest=sha256:725bc1eb06ce8be3c74c6cc1ae16365157dba6122427f92ba86adf5840663cf9

Observation 76597a12-b2ef-4962-8f76-1f5810097d31 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.Advances in Neural Information Processing Systems, 36:38154–38180,.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.Advances in Neural Information Processing Systems, 36:38154–38180,

Reference 27

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source=pdf_text observed=2026-08-07T11:56:26.748421Z digest=sha256:a2ca3372df59b8ece364b8c7dbf8e49903f7c65f693cb02865bc28bab01707ed

Observation dbb3d866-a99d-461f-bbef-490f72f033d7 · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 28

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source=pdf_text observed=2026-08-07T11:56:26.847533Z digest=sha256:3591f295791409ce292a291a1f616b36776dae5918f9cafbb8fbbb508a920beb

Observation c6a3a965-8b84-49af-a4ee-32d04862d55f · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 29

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source=pdf_text observed=2026-08-07T11:56:26.968018Z digest=sha256:ae860da7d5ab9513b316951158de67aea20e6a800a554e568b1750089212998b

Observation 3358a102-2432-4bf3-9834-f647d55f77bd · outbound

This paper cites Qwen3 Technical Report.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents Qwen3 Technical Report

Reference 30

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source=pdf_text observed=2026-08-07T11:56:27.058342Z digest=sha256:08025988e74a49e3cc5b6236cce656301af8cf74dfb5277b801ecebba0071820

Observation ca21515b-e944-4b03-95b7-6c223f186ae3 · outbound

This paper cites React: Synergizing rea- soning and acting in language models.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents React: Synergizing rea- soning and acting in language models

Reference 31

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source=pdf_text observed=2026-08-07T11:56:27.150614Z digest=sha256:bbe83d92c01e4c79f4d166598b0d6624f7433e99a56be5566c9510312c032c2d

Observation 88acff58-792c-4c2e-a257-578dad81f5f4 · outbound

This paper cites ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval.

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval

Reference 32

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source=pdf_text observed=2026-08-07T11:56:27.220112Z digest=sha256:83f647ce435045cde2e8522c773a961b512f56b16f6da168b0b336bc9b3c2b1d

Pith citing papers

Observation e19e2b8a-2f17-4dfe-8443-66945b403d9f · inbound

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations cites this paper.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 10

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source=arxiv_source observed=2026-08-06T12:53:43.910123Z digest=sha256:645c6a23bfe30159f583e33ecbd04f62601ea9957bab8884a63f3d2c938af8d9

Observation b22875bd-e345-49ce-b952-507909e4984e · inbound

Galaxy: A Cognition-Centered Framework for Proactive, Privacy-Preserving, and Self-Evolving LLM Agents cites this paper.

Galaxy: A Cognition-Centered Framework for Proactive, Privacy-Preserving, and Self-Evolving LLM Agents MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 5

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source=pdf_text observed=2026-08-06T01:01:37.818667Z digest=sha256:e70fd4ce0fc981985afe0527ebbb323da75e3ef4cc7d560b020a0e55aabe6612

Observation 2656edde-72c2-4915-af01-db9b91422369 · inbound

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 24

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arxiv_id, observed 2026-05-15T23:21:42.367309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T23:21:42.029285Z digest=sha256:a4701d4c9d522eefd355e05c74673ae01590b90ebdf5b9cdb4409573684e9e4c

Observation baf747ee-a605-4e72-acd5-46b51803d636 · inbound

LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios cites this paper.

LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T17:04:47.054893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:04:47.054893Z digest=sha256:c1f2e72735ad7ce33d25db94fe4c59e64e4e862fbf5fe77b699ae5968c472fda

Observation e0bfac4b-a9e2-4e46-b71d-eaf42f765e6d · inbound

AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference Serving cites this paper.

AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference Serving MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T18:43:28.515792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:43:28.515792Z digest=sha256:e285d41efc894f2af18505eeb1f7e6c8d7410cbeac9340cbfe4b4d57899b15d0

Observation 5565d8bc-9eb5-47b2-b784-e7742415904c · inbound

Semantic Attacks on Tool-Augmented LLMs: Securing the Model Context Protocol Against Descriptor-Level Manipulation cites this paper.

Semantic Attacks on Tool-Augmented LLMs: Securing the Model Context Protocol Against Descriptor-Level Manipulation MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:51:33.390789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T12:46:44.819224Z digest=sha256:1d8913e1bbba7c862076b63ce4098e3383808461e29a8702b4fa876e92ab6ca2

Observation 1e772db8-f758-4359-9e12-241678a7b68a · inbound

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions cites this paper.

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T23:04:29.032578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:04:29.032578Z digest=sha256:91dc52185018b8c88cb70bdfbcaefe478c9ddca12fb7dab4f4c7f7ef371a9124

Observation bc9167d4-da20-45c6-8f62-f440e7d0d03f · inbound

Give Them an Inch and They Will Take a Mile:Understanding and Measuring Caller Identity Confusion in MCP-Based AI Systems cites this paper.

Give Them an Inch and They Will Take a Mile:Understanding and Measuring Caller Identity Confusion in MCP-Based AI Systems MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T18:38:33.022304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:38:33.022304Z digest=sha256:4b11d7a38d2d9abbbae885204baec2554633d2d2623121d0c93d13ddccd32bf1

Observation 97ae3d35-7367-4175-8d3d-e60d891e8342 · inbound

From Language to Action: Enhancing LLM Task Efficiency with Task-Aware MCP Server Recommendation cites this paper.

From Language to Action: Enhancing LLM Task Efficiency with Task-Aware MCP Server Recommendation MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.764533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T06:20:49.799989Z digest=sha256:0afa5e4272eafc027d49ff46c954067e0a0cb0ff0f438997fa6e8f9be35edc2e

Observation a56544a4-ba9a-4fb4-8aa2-23d1ec5df761 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:05:33.901218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-08T19:04:53.639217Z digest=sha256:cb248c415653d54c435746df839db492766203b33a84fabdfd86e5f4c076fcb8

Observation b497534e-b413-4062-8139-428124206237 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:45:12.429480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-01T00:25:46.507401Z digest=sha256:24885f8dc4ab53402b4e2ee988da5d28d5631445ed89ef170e8ed37e432938ca

Observation c849ce46-300b-4ea3-90d3-60ad483ae4a1 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T05:24:44.086601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T05:24:44.086601Z digest=sha256:ccc54cee140658a17acd5bd9cc3c89158558ad9a1c5ceef23b1c47e171dbb610

Observation 64030076-6e34-426b-91e1-985bcfbcb344 · inbound

GRAIL: A Deep-Granularity Hybrid Resonance Framework for Real-Time Agent Discovery via SLM-Enhanced Indexing cites this paper.

GRAIL: A Deep-Granularity Hybrid Resonance Framework for Real-Time Agent Discovery via SLM-Enhanced Indexing MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:40.484247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T18:29:32.989360Z digest=sha256:45090d1a1f7652ea7c412d8c6365bce7c28872b0b15a3e37436c95b6cdcc43fa

Observation a60ba5b4-3716-4bca-93c6-cf1e2c147871 · inbound

Skill Description Deception Attack against Task Routing in Internet of Agents cites this paper.

Skill Description Deception Attack against Task Routing in Internet of Agents MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:46:31.324166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T04:55:26.828783Z digest=sha256:d8a547f8863b712b3743141ae4a3c56422033a01b51f599663e0cf8cbd6a9ca7

Observation 6a3c55f5-b635-4e4b-8940-349574f48ddb · inbound

Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies cites this paper.

Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:59:47.059673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T08:11:30.091859Z digest=sha256:506583a2dc12a78590f836d28f5bd25f63300829702e8f0e9202f9a4aeb8ff8a

Observation 65222fa6-178a-435b-b45c-dfc676f8540f · inbound

Adapting Embedding Models for Agent Capability Retrieval cites this paper.

Adapting Embedding Models for Agent Capability Retrieval MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T18:19:37.664631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:19:37.664631Z digest=sha256:7633e05376b696f90780711276a7bcc3703ed6a7dbea0e5615562294d78ff15e

Observation cd00f3b9-b00c-441c-b84a-193d9f70dca5 · inbound

Where Facts Go Missing: A Layerwise Taxonomy and Per-Layer Attribution of Information Omission in Air-Gapped LLMAgent Pipelines cites this paper.

Where Facts Go Missing: A Layerwise Taxonomy and Per-Layer Attribution of Information Omission in Air-Gapped LLMAgent Pipelines MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T04:48:25.307321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:48:25.307321Z digest=sha256:06ff3c39dd639586a193087d0afddaef7ec2aa62f0c9542491aa35848bc31e85

Observation e9446d2a-958d-458b-8097-63cdfb9aee88 · inbound

ChainClaw: A Layered Agent Framework for Reliable On-Chain Execution cites this paper.

ChainClaw: A Layered Agent Framework for Reliable On-Chain Execution MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T23:31:04.269010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:31:04.269010Z digest=sha256:998720e2adeb81b1fcb3e384b9da4239e42f1f3c5f8cb46834bfb41430c2009b