Paper Citation Record · LEDGER

AWorld: Orchestrating the Training Recipe for Agentic AI

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 6 inbound Pith citation observations for arXiv:2508.20404.

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

pith.paper-citation-record.v1
2508.20404 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:10:17.811779Z

measured 18 of 18 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:59:47.108021Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T00:19:16.795480Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4757a87-7b08-4f27-8cb1-9c335fe12403 · outbound

This paper cites GPT-4 Technical Report.

AWorld: Orchestrating the Training Recipe for Agentic AI GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.767118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 133c92d6-9fc2-484b-9c28-6f7fac1cd17f · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

AWorld: Orchestrating the Training Recipe for Agentic AI Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.775534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0525c134-88c7-4d1a-a5e2-4c201a03f947 · outbound

This paper cites AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning.

AWorld: Orchestrating the Training Recipe for Agentic AI AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.779979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75fbe60a-e61f-479d-845a-63f3aaabcb31 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

AWorld: Orchestrating the Training Recipe for Agentic AI Gemini: A Family of Highly Capable Multimodal Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.784190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45528391-3a99-4dd9-a7d7-098572d032dc · outbound

This paper cites DeepSeek-V3 Technical Report.

AWorld: Orchestrating the Training Recipe for Agentic AI DeepSeek-V3 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.796330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2f41bad-0e7e-48a7-a8c1-cb46593192a9 · outbound

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

AWorld: Orchestrating the Training Recipe for Agentic AI DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.803448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feb7142d-a566-442a-9801-5c560cbeafb6 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

AWorld: Orchestrating the Training Recipe for Agentic AI LLaMA: Open and Efficient Foundation Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.807085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3238b2b1-c95a-49c1-b94a-ef7ba5aeef1b · outbound

This paper cites Qwen3 Technical Report.

AWorld: Orchestrating the Training Recipe for Agentic AI Qwen3 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.811779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca00504-e797-474e-be25-0fe8fea63d1b · outbound

This paper cites Ai agents vs.

AWorld: Orchestrating the Training Recipe for Agentic AI Ai agents vs

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.799977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c68fa08-364a-47e6-a737-f71a0149f621 · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

AWorld: Orchestrating the Training Recipe for Agentic AI OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.788181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e667310a-5dd0-4317-9218-674d2a6bbeb9 · outbound

This paper cites GPT-4o System Card.

AWorld: Orchestrating the Training Recipe for Agentic AI GPT-4o System Card

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.792251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 505f5e59-ca11-4c3d-be44-4e771bcccba8 · outbound

This paper cites xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations.

AWorld: Orchestrating the Training Recipe for Agentic AI xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:17.771453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation aeb91813-9a35-4e33-b48b-98c407525b3e · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey AWorld: Orchestrating the Training Recipe for Agentic AI

Reference 288

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:48.808584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bfa15bd4-93ee-4c12-b978-6e9837d9ad28 · inbound

DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths cites this paper.

DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths AWorld: Orchestrating the Training Recipe for Agentic AI

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T19:59:47.108021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 014aeef6-ea93-4bfc-982e-3b98f310fe13 · inbound

Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents cites this paper.

Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents AWorld: Orchestrating the Training Recipe for Agentic AI

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-14T19:59:59.030585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20c8cad9-2896-4950-a6b2-234cb0d0fc21 · inbound

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

Autogenesis: A Self-Evolving Agent Protocol AWorld: Orchestrating the Training Recipe for Agentic AI

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:29:24.726341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 71948c83-6bec-4603-bac2-9add268f273b · inbound

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

Autogenesis: A Self-Evolving Agent Protocol AWorld: Orchestrating the Training Recipe for Agentic AI

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:19:16.799123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 349415dc-b4bc-433a-bb62-9e139d99eb42 · inbound

OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction cites this paper.

OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction AWorld: Orchestrating the Training Recipe for Agentic AI

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:41:20.289348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.