Paper Citation Record · LEDGER

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

As of 18 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 14 inbound Pith citation observations for arXiv:2502.04306.

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

pith.paper-citation-record.v1
2502.04306 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:57:12.869989Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:02.869499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T00:12:50.066065Z

Reference resolution

56 of 56 outbound references displayed

verified exact0
verified fuzzy16
unresolved39
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3730524-bea0-40f6-9a2c-abdb6403fa3f · outbound

This paper cites GPT-4 Technical Report.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization GPT-4 Technical Report

Reference 1

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Observation 76f5f5bf-e1a0-46e3-a21e-6ac3c9782fb8 · outbound

This paper cites PaLM 2 Technical Report.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization PaLM 2 Technical Report

Reference 2

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Observation 4037b6a2-85c3-4b69-b849-17dc8a9ab4b2 · outbound

This paper cites Program Synthesis with Large Language Models.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Program Synthesis with Large Language Models

Reference 3

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Observation abad24c7-c5c3-4cd5-a387-e10f708402d2 · outbound

This paper cites A general theoretical paradigm to understand learning from human preferences.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization A general theoretical paradigm to understand learning from human preferences

Reference 4

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Observation 6715730b-9f74-4afe-beba-3889b44ef644 · outbound

This paper cites Rank analysis of incomplete block designs: I.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Rank analysis of incomplete block designs: I

Reference 5

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Observation 783e1512-f46d-4dda-8cd1-732d3404c361 · outbound

This paper cites Preference Learning Algorithms Do Not Learn Preference Rankings.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Preference Learning Algorithms Do Not Learn Preference Rankings

Reference 6

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Source-reported events for the cited work

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Observation db93fe2f-df8b-4c0a-8d2f-fef6567543bb · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization AutoAgents: A Framework for Automatic Agent Generation

Reference 7

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Observation bbe9f0a0-813a-492a-8ed9-a5e07f1aeae5 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Evaluating Large Language Models Trained on Code

Reference 8

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Observation 39132a60-e940-4c92-b3b1-5acf31439456 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Training Verifiers to Solve Math Word Problems

Reference 9

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Observation 9ed8e6d1-280b-488f-a08c-4529977cc6b1 · outbound

This paper cites DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs

Reference 10

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Observation 22a688a3-97ee-4aec-b0a7-5bcd43a35937 · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 11

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Observation 523419a9-71b1-49a0-bd12-65b3a6e44f69 · outbound

This paper cites Data Interpreter: An LLM Agent For Data Science.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Data Interpreter: An LLM Agent For Data Science

Reference 12

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Observation b17995c6-1247-46e8-8fd5-82887e161ca6 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen

Reference 13

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Observation 66f9f549-15d9-4508-9cce-51f1e93e5fb4 · outbound

This paper cites Automated design of agentic systems.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Automated design of agentic systems

Reference 14

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Observation f9036684-3777-4203-a531-692cecb8b42b · outbound

This paper cites The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization

Reference 15

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Observation 34217c21-d590-4e49-9398-d3b734f99674 · outbound

This paper cites SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses

Reference 16

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Observation 0eacf067-512e-41a4-946a-f8b685c3d21f · outbound

This paper cites Dspy: Compil- ing declarative language model calls into state-of-the-art pipelines.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Dspy: Compil- ing declarative language model calls into state-of-the-art pipelines

Reference 17

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Observation a57525fb-7c3a-44ad-8b1d-0b1ebe9974ad · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Gonzalez, Hao Zhang, and Ion Stoica

Reference 18

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Observation 5aec9b39-8049-4888-bd3c-0ba7e85892e1 · outbound

This paper cites AutoFlow: Automated Workflow Generation for Large Language Model Agents.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization AutoFlow: Automated Workflow Generation for Large Language Model Agents

Reference 19

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization DeepSeek-V3 Technical Report

Reference 20

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Observation b6dcd6c3-db4d-424a-997a-ca66c168ca8c · outbound

This paper cites A dynamic llm-powered agent network for task-oriented agent collaboration.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization A dynamic llm-powered agent network for task-oriented agent collaboration

Reference 21

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Observation 68acb43a-21cb-41fb-8287-a80311037be4 · outbound

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Self-refine: Iterative refinement with self-feedback

Reference 22

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Observation afa58b2c-fcc2-4aad-b839-c1d5bb82114a · outbound

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 23

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Reference 24

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Training language models to follow instructions with human feedback

Reference 25

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Observation e09a88e1-aa5e-4373-adf5-19920e30f149 · outbound

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Disentangling length from quality in direct preference optimization

Reference 26

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Observation 96c6840c-58d5-4b4e-9a3d-c39a35a5bcaa · outbound

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Direct preference optimization: Your language model is secretly a reward model

Reference 27

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering

Reference 28

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Archon: An Architecture Search Framework for Inference-Time Techniques

Reference 29

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Proximal Policy Optimization Algorithms

Reference 30

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Reflexion: Language agents with verbal reinforcement learning

Reference 31

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Adaptive In-conversation Team Building for Language Model Agents

Reference 32

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 33

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Self-consistency improves chain of thought reasoning in language models

Reference 34

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi- persona self-collaboration

Reference 35

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Chain-of-thought prompting elicits reasoning in large language models

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Is dpo superior to ppo for llm alignment? a comprehensive study

Reference 37

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Lemur: Harmonizing natural language and code for language agents

Reference 38

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Qwen2.5 Technical Report

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Large Language Models as Optimizers

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Buffer of thoughts: Thought-augmented reasoning with large language models

Reference 41

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction

Reference 42

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Reference 43

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization TextGrad: Automatic "Differentiation" via Text

Reference 44

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

Reference 45

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization AFlow: Automating Agentic Workflow Generation

Reference 46

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems

Reference 47

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Symbolic Learning Enables Self-Evolving Agents

Reference 48

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization "" This is a wor kf low graph

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Format MUST follow : custom ( i n s t r u c t i o n : str ) -> str You can modify the i n s t r u c t i o n prompt

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:57:13.601950Z

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Unresolved cited work

Reference 51

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Format MUST follow : a n s w e r _ g e n e r a t e () -> str For example : so lu tio n = await self

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:57:13.571072Z

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ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:57:13.555653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 37c5180b-f107-4b6e-b2c7-fd36eaa2b531 · outbound

This paper cites an unresolved cited work.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:57:13.540101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b0b2d1a0-ab32-4f7e-a8de-7e1c27894b5f · outbound

This paper cites an unresolved cited work.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:57:13.524891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8576080f-d72b-4221-b476-829f078754ea · outbound

This paper cites "" This is a wor kf low graph.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization "" This is a wor kf low graph

Reference 56

Resolution: malformed identifier; raw_fallback, observed 2026-08-08T22:57:13.509722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 0a41fbf5-200c-4f0b-a399-205d9a46a1b9 · inbound

FlowReasoner: Reinforcing Query-Level Meta-Agents cites this paper.

FlowReasoner: Reinforcing Query-Level Meta-Agents ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.869499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c72814f9-1626-49eb-81e5-f5da80437d1b · inbound

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems cites this paper.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:13.601509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e15cffa-39ec-400a-9577-83390127f903 · inbound

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming cites this paper.

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:08.840573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a721dc97-9037-4479-b644-6c9584fbabac · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 126

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.269575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f3c0730e-c85b-4733-8c99-a39eff0612f1 · inbound

Rethinking Query Optimization for Multi-Agent Systems [Vision] cites this paper.

Rethinking Query Optimization for Multi-Agent Systems [Vision] ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T17:21:28.646860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff54a86d-7777-42ff-84a2-9d05f1a66d12 · inbound

Autogenesis: A Self-Evolving Agent Protocol cites this paper.

Autogenesis: A Self-Evolving Agent Protocol ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:29:24.729524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2c07b09-5da3-4bfd-8109-fc522d1443b7 · inbound

Autogenesis: A Self-Evolving Agent Protocol cites this paper.

Autogenesis: A Self-Evolving Agent Protocol ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:19:16.783581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 879697a1-c5a3-4c0c-ab0c-6d9f2a50c1e1 · inbound

EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales cites this paper.

EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:47:08.474776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8b83235-1d34-42e4-a096-2ae6ff7980ac · inbound

Towards Direct Evaluation of Harness Optimizers via Priority Ranking cites this paper.

Towards Direct Evaluation of Harness Optimizers via Priority Ranking ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:14:40.387427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e287924a-aa6a-4bed-ba34-0e1a35ca3380 · inbound

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems cites this paper.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.067704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75c452f2-a934-4964-995b-d6c0c695d327 · inbound

A Workflow-Aware Serving Layer for Agentic Applications cites this paper.

A Workflow-Aware Serving Layer for Agentic Applications ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-12T05:56:18.797766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af735b10-0f92-44ae-9c45-29658aba67bf · inbound

CONTRA: Red-Teaming Configurations of Personalizable Agents cites this paper.

CONTRA: Red-Teaming Configurations of Personalizable Agents ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:40.067404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32dd730-36fd-4726-b31b-54bf42d8bf75 · inbound

Reward-Free Evolving Agents via Pairwise Validator cites this paper.

Reward-Free Evolving Agents via Pairwise Validator ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T02:15:34.145140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 689c9664-2d66-48fa-9e2b-80feda11857e · inbound

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills cites this paper.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T16:08:11.758646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.