Paper Citation Record · LEDGER

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2504.21433.

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

pith.paper-citation-record.v1
2504.21433 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:07:31.100517Z

measured 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T05:08:54.560648Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:43:49.899675Z

Reference resolution

27 of 27 outbound references displayed

verified exact2
verified fuzzy2
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc5570d5-03d2-4c67-912d-ebbfe3dbeb28 · outbound

This paper cites GPT-4 Technical Report.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:30.993666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16adc4c9-167d-40a6-bdb5-fc4cdebccd77 · outbound

This paper cites ClickAgent: Enhancing UI Location Capabilities of Autonomous Agents.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence ClickAgent: Enhancing UI Location Capabilities of Autonomous Agents

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.027755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9969e8f6-6229-4cbd-a1ef-b63640398932 · outbound

This paper cites GPT-4o System Card.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence GPT-4o System Card

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.031927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 768b617e-4939-49a1-9c22-f1c642822033 · outbound

This paper cites OpenAI o1 System Card.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence OpenAI o1 System Card

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.036149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ce27f4c-a5cc-4c0b-8514-975e4a8cec2f · outbound

This paper cites VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.040483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 185b8fad-9664-4e49-9f0e-e2fdf06f08c3 · outbound

This paper cites TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.044701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a91043-064f-4f59-9f2c-90260fa12f84 · outbound

This paper cites Tptu-v2: Boosting task planning and tool usage of large language model-based agents in real-world industry systems.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Tptu-v2: Boosting task planning and tool usage of large language model-based agents in real-world industry systems

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:07:31.435801Z

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 14cc15f6-5f28-4367-9041-1be0b8e48af2 · outbound

This paper cites Deep Reinforcement Learning for Dialogue Generation.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Deep Reinforcement Learning for Dialogue Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.052605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edbad4ff-7874-402a-816f-d2f2e6953118 · outbound

This paper cites Transformer in Transformer as Backbone for Deep Reinforcement Learning.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Transformer in Transformer as Backbone for Deep Reinforcement Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:07:31.244619Z

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 ee3a0a55-ea17-4798-a78c-aa7c0f746a7e · outbound

This paper cites ScreenAgent: A Vision Language Model-driven Computer Control Agent.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence ScreenAgent: A Vision Language Model-driven Computer Control Agent

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.064368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 417aaba8-21ba-46a5-bbef-26a91cf318b5 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Code Llama: Open Foundation Models for Code

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.073013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0a960f2-50eb-41b1-a663-358fb3e196fc · outbound

This paper cites Tptu: Task planning and tool usage of large language model-based ai agents.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Tptu: Task planning and tool usage of large language model-based ai agents

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:07:31.420552Z

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 aafe28c2-ff8f-4e0d-8754-0f156fad7c49 · outbound

This paper cites Character-LLM: A Trainable Agent for Role-Playing.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Character-LLM: A Trainable Agent for Role-Playing

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.081175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad30080a-58db-4ca4-b97c-8761d6e4fef4 · outbound

This paper cites OS-Copilot: Towards Generalist Computer Agents with Self-Improvement.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.088789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 923e4f68-18df-4021-b683-f3c69f547768 · outbound

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

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.092960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b8070b1-bc2b-4883-9b85-c2c7c82507e9 · outbound

This paper cites Large Multimodal Agents: A Survey.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Large Multimodal Agents: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.096590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42bd45a7-6c6c-427f-b7b7-9e17c52e4664 · outbound

This paper cites Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.100517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fc64b18-9c71-447e-9aba-4af720a1ca73 · outbound

This paper cites Tool Learning with Foundation Models.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Tool Learning with Foundation Models

Reference 1980

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.068466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 564a9097-1952-48cd-aab2-1da02eaa39fe · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.019173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40bb1a15-5b93-442c-bf8f-9ec2f72bdeb5 · outbound

This paper cites From Persona to Personalization: A Survey on Role-Playing Language Agents.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence From Persona to Personalization: A Survey on Role-Playing Language Agents

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.010588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7befa18a-6e47-4963-b506-8e2863932ce1 · outbound

This paper cites Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.084822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 253ebb7b-fd9c-4ef6-9707-c018bead2b56 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence RT-1: Robotics Transformer for Real-World Control at Scale

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:30.998190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8968d374-64ef-42d3-b235-2cb3e7d7f6e2 · outbound

This paper cites PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.056451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d6a034-4f35-43e5-a630-5fa9b33dfc93 · outbound

This paper cites PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:07:31.366253Z

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 b402a9a0-9dcd-4cab-986a-528ed5aff768 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.002321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 059e7253-6971-49cc-9141-78f6b8788197 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.006345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a13aebbf-24ea-4e40-a711-b8ba45d8380f · outbound

This paper cites WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:31.023952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cf0dfaf2-a1ba-42db-af8d-4d1f15c2b795 · inbound

AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum cites this paper.

AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:43:49.901942Z

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.