Paper Citation Record · LEDGER

Adapting Embedding Models for Agent Capability Retrieval

As of 11 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.17347.

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

pith.paper-citation-record.v1
2607.17347 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:19:41.222748Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy0
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites MCP-Zero: Active Tool Discovery for Autonomous LLM Agents.

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.

Observation 241c025d-ad15-4526-85c8-83fbe3e0bbf7 · outbound

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

Adapting Embedding Models for Agent Capability Retrieval RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:37.745270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5600ec56-4e41-4ac5-8633-b6451d751462 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:37.880305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3809a90-6dbd-4c46-a8ad-aa7e746c43cc · outbound

This paper cites RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs.

Adapting Embedding Models for Agent Capability Retrieval RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:38.026339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de722b0f-004b-4132-9683-780381ebcbc1 · outbound

This paper cites Universal Model Routing for Efficient LLM Inference.

Adapting Embedding Models for Agent Capability Retrieval Universal Model Routing for Efficient LLM Inference

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:38.139298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71e0014d-37f9-4bb2-9a6a-cc8402384719 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:38.242901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5c39d4f-2be5-4926-9a8e-60b8b1cebbc3 · outbound

This paper cites Evaluation Report on MCP Servers.

Adapting Embedding Models for Agent Capability Retrieval Evaluation Report on MCP Servers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:38.312333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9690e676-819d-4e5e-92a1-442286fc8195 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:38.368756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22ad3c37-4a21-4213-a313-c46fa03fb713 · outbound

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

Adapting Embedding Models for Agent Capability Retrieval Efficient and Scalable Estimation of Tool Representations in Vector Space

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:38.452065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8770b271-fbef-4fb9-b9a7-1a685875db6d · outbound

This paper cites 2026.MuleRun: World’s Largest AI Agent Store.

Adapting Embedding Models for Agent Capability Retrieval 2026.MuleRun: World’s Largest AI Agent Store

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:38.549522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bc32a90-8636-44a2-9305-a7b17d502249 · outbound

This paper cites Tulip Agent -- Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries.

Adapting Embedding Models for Agent Capability Retrieval Tulip Agent -- Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:38.730220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9e772d-fc5b-4bae-9198-4673278d1397 · outbound

This paper cites Gonzalez, M Waleed Kadous, and Ion Stoica.

Adapting Embedding Models for Agent Capability Retrieval Gonzalez, M Waleed Kadous, and Ion Stoica

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:38.976042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73d85000-5d49-451e-ae74-dc567a06569c · outbound

This paper cites 2025.ClawHub: Skill Registry and Marketplace for OpenClaw.

Adapting Embedding Models for Agent Capability Retrieval 2025.ClawHub: Skill Registry and Marketplace for OpenClaw

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:39.146205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c118da7-93bd-4042-9e8c-41cc2d05fc9b · outbound

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

Adapting Embedding Models for Agent Capability Retrieval ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:39.329871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a23bfccb-0c01-4142-a9a3-ad539d610c99 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:39.494503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a0f06f-af88-4c9e-871f-bb2c5e785006 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:39.629731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3b09d4-6248-424a-a96c-705f50ea16a9 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:39.767584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55d513aa-f7c0-4649-98a3-c37350eda4d5 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:39.935422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 327bd448-e272-4fa8-8ed0-7089f5a506f1 · outbound

This paper cites Arch-Router: Aligning LLM Routing with Human Preferences.

Adapting Embedding Models for Agent Capability Retrieval Arch-Router: Aligning LLM Routing with Human Preferences

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:40.105693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fc4360b-9f53-453b-b71a-2a364611ff66 · outbound

This paper cites SkillX: Automatically Constructing Skill Knowledge Bases for Agents.

Adapting Embedding Models for Agent Capability Retrieval SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:40.242616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8018539-f436-489d-b49c-bde5cdf31924 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Adapting Embedding Models for Agent Capability Retrieval Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:40.298283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 366fdabc-653f-4b5f-96af-5f61fc57c410 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:40.356111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 969159fe-8aea-475f-82ab-db9f1ff90228 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:40.444397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f7ea600-ebe8-4854-acd7-45c62687a4ad · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:40.518950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a89025a5-9134-4c26-b466-e9cf67bddb56 · outbound

This paper cites Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward.

Adapting Embedding Models for Agent Capability Retrieval Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:40.626271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f130c9-c4d1-437c-9555-7b6c065dd0b4 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:40.730883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b13ef693-36bd-45f9-a5c1-dc0108d0a257 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:40.828748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d8a15be-85f9-4ee4-ba67-e52db3fc4a05 · outbound

This paper cites 2026.Equipping Agents for the Real World with Agent Skills.

Adapting Embedding Models for Agent Capability Retrieval 2026.Equipping Agents for the Real World with Agent Skills

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:40.921973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc0232e0-12c5-4292-a2b8-bca70a8940fa · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:41.029723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c6c336-a551-4ea0-8319-b9b1235b7bc1 · outbound

This paper cites an unresolved cited work.

Adapting Embedding Models for Agent Capability Retrieval Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T18:19:41.222748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.