Paper Citation Record · LEDGER

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs

As of 12 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2412.13233.

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

pith.paper-citation-record.v1
2412.13233 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:38:04.551852Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:12:28.316470Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:12:28.374832Z

Reference resolution

55 of 55 outbound references displayed

verified exact0
verified fuzzy23
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c29bca7f-fd01-4880-a5ee-57feed573266 · outbound

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

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.207611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a1fd3f-d7e9-40c7-9b62-9dacdc4d0826 · outbound

This paper cites an unresolved cited work.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:38:06.022804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 70ded954-323c-4103-8342-6a20c7a3b36c · outbound

This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.220484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caf1346f-ff6a-41f5-8510-c56174d80886 · outbound

This paper cites A survey on large language model based autonomous agents,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs A survey on large language model based autonomous agents,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:06.003014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d78314c0-510d-46e8-80c9-01b9b2462378 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.232720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0418f53-9e13-4a28-bd10-d1b764535ff7 · outbound

This paper cites Musescore.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Musescore

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.981783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 17e3662b-3ddb-4e21-ad6d-b4ed25288adf · outbound

This paper cites GPT-4 Technical Report.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs GPT-4 Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.247890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 722b2b73-7fe6-4a54-acb2-75454f07918c · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.253711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb8d4f9d-0631-4e42-b43b-16aeba0c80f7 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.260054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf18b6bc-8272-49d6-8b02-4eaa7cc58f09 · outbound

This paper cites Human-level control through deep re- inforcement learning,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Human-level control through deep re- inforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.961277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 772cfd2c-8215-44c8-8781-0b80ae8beb8f · outbound

This paper cites Continuous control with deep reinforcement learning.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Continuous control with deep reinforcement learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.277591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf9df920-918f-4c1d-a3ba-b4a3f4afa83d · outbound

This paper cites Proximal Policy Optimization Algorithms.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Proximal Policy Optimization Algorithms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.284390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e9c874-472e-44d8-8b13-5a4a25fb2999 · outbound

This paper cites Language models are few-shot learners,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Language models are few-shot learners,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.940588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aa7ef800-cf6f-48b3-90f7-b251220488fe · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.295926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d5263d-7b37-475b-a37f-503765e01a2a · outbound

This paper cites Gpt is an effective tool for multilingual psychological text analysis,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Gpt is an effective tool for multilingual psychological text analysis,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.903872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b3d67cb1-577c-4dd9-8911-ec608696d5c4 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs MemGPT: Towards LLMs as Operating Systems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.306000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 956012af-517a-42c8-a9f4-e472668876ff · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.880414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9d39d1de-e688-416b-839f-6bccbd15405d · outbound

This paper cites Toolformer: Language models can teach themselves to use tools,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Toolformer: Language models can teach themselves to use tools,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.858542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9f3af744-7e85-4187-8fec-d2b710a0a944 · outbound

This paper cites Language models are unsupervised multitask learners,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Language models are unsupervised multitask learners,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.321890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b422daa-8e47-4ed6-97cd-67c0701e81ba · outbound

This paper cites GPTVoiceTasker: Advancing Multi-step Mobile Task Efficiency Through Dynamic Interface Exploration and Learning.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs GPTVoiceTasker: Advancing Multi-step Mobile Task Efficiency Through Dynamic Interface Exploration and Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.326981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e46696-9a8e-49f0-8184-8bb9fc48ca03 · outbound

This paper cites Opendevin: A github repository.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Opendevin: A github repository

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.810876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 20bedfed-a6d8-42e2-8b74-3b223fda0779 · outbound

This paper cites Devika: A github repository by stition ai.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Devika: A github repository by stition ai

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.783449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 41dcd948-cca2-4264-80eb-2a01f89e01ef · outbound

This paper cites Hugging face: Open source machine learning tools.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Hugging face: Open source machine learning tools

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.754421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f901a71-573d-4667-8fed-739d9ff3d814 · outbound

This paper cites A Survey of Large Language Models.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs A Survey of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.348672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b0a703-4b46-4fd9-b6a8-1290c609c6f3 · outbound

This paper cites Language model behavior: A comprehensive survey,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Language model behavior: A comprehensive survey,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.726947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 94e00fa1-1e5a-4992-a6f0-4d7f45119e09 · outbound

This paper cites Harnessing the power of llms in practice: A survey on chatgpt and beyond,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Harnessing the power of llms in practice: A survey on chatgpt and beyond,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.360668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf7b096-3905-4aa3-93c8-d2bef147eb84 · outbound

This paper cites Aligning Large Language Models with Human: A Survey.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Aligning Large Language Models with Human: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.366729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f31df250-1ceb-4dc0-b0e0-d10ff91b6f5f · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Towards Reasoning in Large Language Models: A Survey

Reference 28

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Source-reported events for the cited work

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Observation 97b440f4-a22c-4a11-a2a8-abb5533ea87b · outbound

This paper cites Augmented Language Models: a Survey.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Augmented Language Models: a Survey

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.380210Z

Source-reported events for the cited work

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Observation 16cae9c3-4804-424c-8859-66edcf38e885 · outbound

This paper cites A survey on evaluation of large language models,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs A survey on evaluation of large language models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.689021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e69ea016-f3fc-4dbe-95a9-5cf7e3affdd9 · outbound

This paper cites Rapid’s api hub.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Rapid’s api hub

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.666081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb952474-2ed1-46da-a955-4ebbabf38e69 · outbound

This paper cites Chain of Hindsight Aligns Language Models with Feedback.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Chain of Hindsight Aligns Language Models with Feedback

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.398514Z

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Observation 137eaf7f-a21b-44b9-b0e6-ac17b880e738 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs ReAct: Synergizing Reasoning and Acting in Language Models

Reference 33

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Observation bad85518-6594-432f-a1ab-16fcb6df0f98 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Tree of thoughts: Deliberate problem solving with large language models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.646112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b66095c-3092-4e6e-87f2-b7c0654d8c5f · outbound

This paper cites Revolutionizing Mobile Interaction: Enabling a 3 Billion Parameter GPT LLM on Mobile.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Revolutionizing Mobile Interaction: Enabling a 3 Billion Parameter GPT LLM on Mobile

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.417490Z

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Observation 834f1932-cb9d-4cf3-a64b-1056f4291f18 · outbound

This paper cites LLM in a flash: Efficient Large Language Model Inference with Limited Memory.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Reference 36

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Source-reported events for the cited work

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Observation 88f8a6a5-ba72-477a-9559-19b661b598a2 · outbound

This paper cites LLM as a System Service on Mobile Devices.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs LLM as a System Service on Mobile Devices

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.428916Z

Source-reported events for the cited work

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Observation 42dd7d6b-30c3-43cd-8792-4891996d32cb · outbound

This paper cites MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.435253Z

Source-reported events for the cited work

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Observation 9cb1557f-0822-49ec-8be3-52d837ee3151 · outbound

This paper cites Camel: Communicative agents for.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Camel: Communicative agents for

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.624492Z

Source-reported events for the cited work

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Observation a2e69097-f147-46e4-b431-43e12eeeea78 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs ChatDev: Communicative Agents for Software Development

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.447643Z

Source-reported events for the cited work

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Observation 9dd02fd8-5da0-447d-b9c1-29ada39f7ee2 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Generative agents: Interactive simulacra of human behavior,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.598401Z

Source-reported events for the cited work

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Observation ad328f1d-067e-4eda-bc03-901d4593ca5b · outbound

This paper cites NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.460651Z

Source-reported events for the cited work

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Observation 72201a7f-8d3b-4426-bde2-71a940ae2185 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Reflexion: Language agents with verbal reinforcement learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.570949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da84a0a1-ffcd-42fe-9add-2d2862967ee6 · outbound

This paper cites Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.474160Z

Source-reported events for the cited work

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Observation 6448a6df-d3fd-4e4d-adcd-d237fc2ea664 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.480939Z

Source-reported events for the cited work

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Observation 7992619f-f324-49aa-b0a7-9dc612110f26 · outbound

This paper cites Proof-carrying code,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Proof-carrying code,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.546793Z

Source-reported events for the cited work

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Observation e3fa0bde-436d-4ccd-907a-030780091a38 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.495677Z

Source-reported events for the cited work

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Observation a50f132f-487c-448d-932f-47a4604e1f65 · outbound

This paper cites Xlnet: Gener- alized autoregressive pretraining for language understanding,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Xlnet: Gener- alized autoregressive pretraining for language understanding,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.519107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 98677527-fc08-4826-ad40-2c480be885d3 · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.506950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05b23cb8-2fcd-46ea-88e3-610824c69c44 · outbound

This paper cites Prompting is all you need: Automated android bug replay with large language models,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Prompting is all you need: Automated android bug replay with large language models,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.490609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 06437fc2-2f83-4fbf-b5da-4bba4718abd1 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.464044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 82156dd5-fc35-4590-ba63-053f99fe4feb · outbound

This paper cites Generative adversarial user mod el for reinforcement learning based recommendation system,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Generative adversarial user mod el for reinforcement learning based recommendation system,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.441760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bed10c64-15fc-4ba3-8dbf-0b3233dc03a4 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 53

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Observation 82ad3086-61da-4ffb-bfdf-fb14e09e0f75 · outbound

This paper cites Instruction tuning for large language models: A survey,.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Instruction tuning for large language models: A survey,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:04.545825Z

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This paper cites Langchain: A github reposit ory by langchain ai.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs Langchain: A github reposit ory by langchain ai

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:38:05.419024Z

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Pith citing papers

Observation 5f01666d-99a1-45f2-9df6-72a9ea08a039 · inbound

Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs? cites this paper.

Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs? Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T18:12:28.382548Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.