Paper Citation Record · LEDGER

An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2309.14365.

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

pith.paper-citation-record.v1
2309.14365 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:21:55.139926Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:58:50.194424Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 755f1fdc-890e-4eb3-98f2-44434d569947 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.932847Z

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 fd8e1c80-ffed-459a-840d-4a78cffb3445 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:08:28.000890Z

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 9319b819-26ed-455c-a57a-9421c56f248c · inbound

MedRAX: Medical Reasoning Agent for Chest X-ray cites this paper.

MedRAX: Medical Reasoning Agent for Chest X-ray An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T11:35:32.628236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de67752b-8b19-4680-8e35-220c0a9f381c · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.311685Z

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 38dc5a0b-7414-417a-ade5-a93a49984cff · inbound

SEM: Reinforcement Learning for Search-Efficient Large Language Models cites this paper.

SEM: Reinforcement Learning for Search-Efficient Large Language Models An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:55.139926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002817b9-4106-4ac6-a836-1a61469fc3f7 · inbound

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents cites this paper.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:30.673887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b79f5eb3-c55a-4885-83b3-2c2de5c8eb6e · inbound

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting cites this paper.

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:00.168854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f36a77b-e9e2-48cc-b43c-69925f1bc84a · inbound

Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management cites this paper.

Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:43.947297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 382e03d7-b020-42a7-a07b-a8ba94290820 · inbound

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction cites this paper.

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T20:15:51.659547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e81ee76-f028-4cc3-bc71-108bc49d7958 · inbound

Agent Safety Alignment via Reinforcement Learning cites this paper.

Agent Safety Alignment via Reinforcement Learning An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:29:36.361217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ee6d69-8b13-4148-bf2e-dc4122fdfba3 · inbound

A dataset of early blockchain-registered AI agents on Ethereum cites this paper.

A dataset of early blockchain-registered AI agents on Ethereum An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:26:12.498732Z

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 487882d6-9364-40f0-a7eb-0562e0313f54 · inbound

A dataset of early blockchain-registered AI agents on Ethereum cites this paper.

A dataset of early blockchain-registered AI agents on Ethereum An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T15:35:35.837705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 444ed3d1-5504-401f-985b-da6750d1263b · inbound

LLM-as-an-Investigator: Evidence-First Reasoning for Robust Interactive Problem Diagnosis cites this paper.

LLM-as-an-Investigator: Evidence-First Reasoning for Robust Interactive Problem Diagnosis An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:38:29.221646Z

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 268634cf-7711-4d7a-a45a-d68d9d637576 · inbound

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory cites this paper.

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:36:43.265672Z

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 231941eb-fab3-4379-8b9d-948d245de9b0 · inbound

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory cites this paper.

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T18:58:50.197160Z

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.