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Paper Citation Record · LEDGER

Step-Level Preference Learning for Generative Agents in Social Simulations

As of 20 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.14485.

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

pith.paper-citation-record.v1
2607.14485 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:00:28.010591Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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Outbound references

Observation a82f15b2-aa5d-40d2-b613-9b039736ddbf · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Step-Level Preference Learning for Generative Agents in Social Simulations Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 1

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Observation 30e12c8c-8077-4811-a976-91ca2e4580ba · outbound

This paper cites an unresolved cited work.

Step-Level Preference Learning for Generative Agents in Social Simulations Unresolved cited work

Reference 2

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Observation 48cd5449-1d03-4518-bfc9-53a10edd9b3d · outbound

This paper cites an unresolved cited work.

Step-Level Preference Learning for Generative Agents in Social Simulations Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-02T02:00:24.926769Z digest=sha256:399245a91b980352d5db7301d6d931527807b826792122c683a7145796145ce1

Observation f9702a56-d19f-4e14-b6a7-955d488c65df · outbound

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

Step-Level Preference Learning for Generative Agents in Social Simulations AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 4

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Observation b6d823d9-619a-4f5d-8804-a3fcd9ec1517 · outbound

This paper cites In: NeurIPS 2024 Workshop on Open-World Agents (2024), https://openreview.net/forum?id=irKHAnZjvc.

Step-Level Preference Learning for Generative Agents in Social Simulations In: NeurIPS 2024 Workshop on Open-World Agents (2024), https://openreview.net/forum?id=irKHAnZjvc

Reference 5

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Observation 0b6bfd86-578b-4d49-af0e-f0ca085e2c2c · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

Step-Level Preference Learning for Generative Agents in Social Simulations DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 6

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Observation 75b356a4-3b6e-4008-a853-ca5d470408ca · outbound

This paper cites SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF.

Step-Level Preference Learning for Generative Agents in Social Simulations SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Reference 7

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source=pdf_text observed=2026-08-02T02:00:25.187877Z digest=sha256:22f3b6e7bf6074e3e8655c6dc0b6c4693e44219f42de7f237ed967391f3a3eea

Observation 0d1f99dd-f548-4886-8cd5-8b53c2925f07 · outbound

This paper cites SimCity: Multi-Agent Urban Development Simulation with Rich Interactions.

Step-Level Preference Learning for Generative Agents in Social Simulations SimCity: Multi-Agent Urban Development Simulation with Rich Interactions

Reference 8

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Observation 61b345f4-f308-4175-a4ea-4f0a9f0f91a5 · outbound

This paper cites The Llama 3 Herd of Models.

Step-Level Preference Learning for Generative Agents in Social Simulations The Llama 3 Herd of Models

Reference 9

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source=pdf_text observed=2026-08-02T02:00:25.338300Z digest=sha256:d9ade0fcb2d6bfddcac15fe8be3ba730280c7798ca5f1200df76f5fc8c11cec9

Observation 30b36532-ec40-4c68-ae61-9bb4247ea57b · outbound

This paper cites Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancy.

Step-Level Preference Learning for Generative Agents in Social Simulations Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancy

Reference 10

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Observation dd406a54-ffe1-4442-ad2e-102896795bda · outbound

This paper cites PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference.

Step-Level Preference Learning for Generative Agents in Social Simulations PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference

Reference 11

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Observation 1ab7cce1-dd4d-47eb-b7be-dc48274b0e9f · outbound

This paper cites Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback.

Step-Level Preference Learning for Generative Agents in Social Simulations Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback

Reference 12

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Observation 2853061f-cdd7-4527-8da4-2389ed905b9f · outbound

This paper cites Evolving Agents: Interactive Simulation of Dynamic and Diverse Human Personalities.

Step-Level Preference Learning for Generative Agents in Social Simulations Evolving Agents: Interactive Simulation of Dynamic and Diverse Human Personalities

Reference 13

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Observation a2397c2d-6b04-4d84-82f7-258e130bf0e4 · outbound

This paper cites EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities.

Step-Level Preference Learning for Generative Agents in Social Simulations EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities

Reference 14

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Observation 93644310-403b-4b8c-ab09-c0b3c35ce6bc · outbound

This paper cites Proceedings of the ACM on Human-Computer In- teraction 9(2), 1–27 (May 2025).

Step-Level Preference Learning for Generative Agents in Social Simulations Proceedings of the ACM on Human-Computer In- teraction 9(2), 1–27 (May 2025)

Reference 15

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Observation f6c4bcf1-e2be-4db6-b782-662abb82fe78 · outbound

This paper cites Training Socially Aligned Language Models on Simulated Social Interactions.

Step-Level Preference Learning for Generative Agents in Social Simulations Training Socially Aligned Language Models on Simulated Social Interactions

Reference 16

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Observation facf3953-88c1-4ffe-87bb-c367a4a38c44 · outbound

This paper cites EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation.

Step-Level Preference Learning for Generative Agents in Social Simulations EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation

Reference 17

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Observation 7c4fb36e-b61b-4147-b7b0-297db6671585 · outbound

This paper cites an unresolved cited work.

Step-Level Preference Learning for Generative Agents in Social Simulations Unresolved cited work

Reference 18

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Observation 1cf291a1-a3cd-4bc5-9fd0-6502977cdc9e · outbound

This paper cites https://openai.com/index/hello-gpt-4o/ (2024).

Step-Level Preference Learning for Generative Agents in Social Simulations https://openai.com/index/hello-gpt-4o/ (2024)

Reference 19

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Observation d0d48d91-2dfd-45f3-a955-db6f12b49853 · outbound

This paper cites https://openai.com/index/ new-embedding-models-and-api-updates/ (2024), accessed: 2026-01-18.

Step-Level Preference Learning for Generative Agents in Social Simulations https://openai.com/index/ new-embedding-models-and-api-updates/ (2024), accessed: 2026-01-18

Reference 20

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Observation c5c84dfa-bda3-49b4-8e26-c896bd4b407e · outbound

This paper cites an unresolved cited work.

Step-Level Preference Learning for Generative Agents in Social Simulations Unresolved cited work

Reference 21

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Observation c501a1fd-1304-4dba-a283-1c88851c3315 · outbound

This paper cites Training language models to follow instructions with human feedback.

Step-Level Preference Learning for Generative Agents in Social Simulations Training language models to follow instructions with human feedback

Reference 22

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Observation ed8bf4e9-aede-4b99-8136-2c8d6309569b · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

Step-Level Preference Learning for Generative Agents in Social Simulations Generative Agents: Interactive Simulacra of Human Behavior

Reference 23

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Observation 7f715d9f-389c-44b8-b1da-51fb239e149b · outbound

This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

Step-Level Preference Learning for Generative Agents in Social Simulations LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 24

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Observation 38ae0cb9-8b3e-4088-b092-be01ca05d9db · outbound

This paper cites AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society.

Step-Level Preference Learning for Generative Agents in Social Simulations AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

Reference 25

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Observation 8f6a53d5-4620-48c9-a38b-5933bbd330c8 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Step-Level Preference Learning for Generative Agents in Social Simulations Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 26

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Observation 3ba31f98-028f-442b-9b26-11ee16e93fe5 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Step-Level Preference Learning for Generative Agents in Social Simulations DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 27

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Observation a5dab734-5889-4aa6-a907-ec0c3290924c · outbound

This paper cites Social Science Computer Review 32(3), 279–294 (2014), https: //doi.org/10.1177/0894439313512975 Step-Level Preference Learning for Generative Agents 15.

Step-Level Preference Learning for Generative Agents in Social Simulations Social Science Computer Review 32(3), 279–294 (2014), https: //doi.org/10.1177/0894439313512975 Step-Level Preference Learning for Generative Agents 15

Reference 28

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Observation ea5e864e-2ead-43bb-b4dd-4462626b34ad · outbound

This paper cites Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models.

Step-Level Preference Learning for Generative Agents in Social Simulations Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models

Reference 29

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Observation d33aeea6-a77d-4cbf-ae70-bc78a1bcfeed · outbound

This paper cites an unresolved cited work.

Step-Level Preference Learning for Generative Agents in Social Simulations Unresolved cited work

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Observation 71db9729-c50a-40fe-aea3-10b382017ec3 · outbound

This paper cites Virtual Agent Economies.

Step-Level Preference Learning for Generative Agents in Social Simulations Virtual Agent Economies

Reference 31

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Observation 6e051ffa-f49c-4321-9d5b-591839c9cde1 · outbound

This paper cites YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models.

Step-Level Preference Learning for Generative Agents in Social Simulations YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models

Reference 32

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Observation 26cca0a9-75b7-4fb6-85ce-b6c2de0a21b8 · outbound

This paper cites Simulating Human-like Daily Activities with Desire-driven Autonomy.

Step-Level Preference Learning for Generative Agents in Social Simulations Simulating Human-like Daily Activities with Desire-driven Autonomy

Reference 33

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Observation 2304d4a2-2f3a-460f-8b0d-98cd73635185 · outbound

This paper cites Humanoid Agents: Platform for Simulating Human-like Generative Agents.

Step-Level Preference Learning for Generative Agents in Social Simulations Humanoid Agents: Platform for Simulating Human-like Generative Agents

Reference 34

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Observation 26726097-ee01-4fec-bbb3-dc053c65c315 · outbound

This paper cites HelpSteer2: Open-source dataset for training top-performing reward models.

Step-Level Preference Learning for Generative Agents in Social Simulations HelpSteer2: Open-source dataset for training top-performing reward models

Reference 35

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Observation d143ffa1-4a63-48fa-a809-59c57be3c424 · outbound

This paper cites an unresolved cited work.

Step-Level Preference Learning for Generative Agents in Social Simulations Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-02T02:00:27.715565Z digest=sha256:88a9f26f2accba9cd33816da1ba843aa8f11bb84da52762279480c8b67e6f789

Observation 5e1418ec-fb4f-4d95-800e-9aad02d31ecd · outbound

This paper cites Qwen2.5 Technical Report.

Step-Level Preference Learning for Generative Agents in Social Simulations Qwen2.5 Technical Report

Reference 37

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Observation 729c0d4e-b098-4625-b815-1e0868fe633f · outbound

This paper cites an unresolved cited work.

Step-Level Preference Learning for Generative Agents in Social Simulations Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-02T02:00:27.846388Z

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source=pdf_text observed=2026-08-02T02:00:27.846388Z digest=sha256:676f59a2766fe547f61448426ace034fcc79ed53405882e6c78d4bc062d67229

Observation e1d5684d-909d-401a-86b3-f231d45d866c · outbound

This paper cites Affordable Generative Agents.

Step-Level Preference Learning for Generative Agents in Social Simulations Affordable Generative Agents

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T02:00:27.934581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:00:27.934581Z digest=sha256:005bfc0532f35a6031cdd59437eb3bff55d3c0c9ceff7d6dc8a55380a60282be

Observation 829305f3-b6e1-42dc-9075-d7bee214b19b · outbound

This paper cites EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms.

Step-Level Preference Learning for Generative Agents in Social Simulations EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T02:00:28.010591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.