Paper Citation Record · LEDGER

Global Optimization and Inference-Time Region Grafting for Agentic Workflows

As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2608.02353.

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

pith.paper-citation-record.v1
2608.02353 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:52:24.632934Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 569e0ff6-d78a-4d62-b290-4072918247d6 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows Evaluating Large Language Models Trained on Code

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:21.634519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9da1ec30-dc35-43fe-ae53-cc052cdd7033 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows Training Verifiers to Solve Math Word Problems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:21.880653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 746d44c9-e417-4695-abdd-0794370ff34b · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:22.058758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe9df4b3-0278-448c-942d-e2a15f5666b3 · outbound

This paper cites CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:22.517554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30c7ed1b-d96a-45b1-8cbe-4e79ba477902 · outbound

This paper cites arXiv:2506.06017.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows arXiv:2506.06017

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:22.654776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e535defa-42a1-4ad4-84c3-245379a10425 · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:22.773150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ca042bf-0a89-4c78-86cf-3a76a0c91882 · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:22.942819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49385e71-aeb2-465c-b170-8ef4c70b5d6d · outbound

This paper cites Large Language Models: A Survey.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows Large Language Models: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:23.152337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b24dafd-6844-4bae-a4fd-0b780ab5b5fd · outbound

This paper cites Flow: Modularized Agentic Workflow Automation.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows Flow: Modularized Agentic Workflow Automation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:23.399703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 569120ef-8cd5-4a0a-bfb9-f355b732e2c1 · outbound

This paper cites AgentSquare: Automatic LLM Agent Search in Modular Design Space.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows AgentSquare: Automatic LLM Agent Search in Modular Design Space

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:23.570960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a90bbd73-fb12-43ce-a7fe-ab71ee2794cd · outbound

This paper cites InInternational Conference on Learning Representations (ICLR).

Global Optimization and Inference-Time Region Grafting for Agentic Workflows InInternational Conference on Learning Representations (ICLR)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:23.741422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c530f464-9e02-4f9f-8422-1b62789c73e6 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:24.170202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7e3fbb0-2131-45f0-8f88-c6911019cb21 · outbound

This paper cites A Survey of Large Language Models.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows A Survey of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:24.632934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1c06da2-4a10-41fc-bb93-7d34d01ab07a · outbound

This paper cites In Sarkar, V.; Ryder, B.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows In Sarkar, V.; Ryder, B

Reference 1994

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:22.391046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca8a4d47-fa27-4cad-85fb-05c9398795aa · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows Why Do Multi-Agent LLM Systems Fail?

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:21.501302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eed0e35-3bac-4ac3-bdce-9067b5658b55 · outbound

This paper cites Program Synthesis with Large Language Models.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows Program Synthesis with Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:21.436132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 300a8ff8-08ee-45fa-b3c4-a1ca464b12be · outbound

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

Global Optimization and Inference-Time Region Grafting for Agentic Workflows AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:23.938212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de3cb4bd-b037-45a1-93c8-ceef14dd87e3 · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:21.758006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ba2c58f-db2f-48c2-8fcb-6994d5a26098 · outbound

This paper cites JMLR.org.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows JMLR.org

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:21.963495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62a38b24-ba37-4287-ac10-73c49b47349a · outbound

This paper cites Automated Design of Agentic Systems.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows Automated Design of Agentic Systems

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:22.238228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07575100-017f-476e-9808-013630192ddd · outbound

This paper cites EvoFlow: Evolving Diverse Agentic Workflows On The Fly.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows EvoFlow: Evolving Diverse Agentic Workflows On The Fly

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-04T08:52:24.430006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.