Paper Citation Record · LEDGER

Demystifying AI Agents: The Final Generation of Intelligence

As of 21 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2505.09932.

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

pith.paper-citation-record.v1
2505.09932 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:24:11.672680Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:55:56.805399Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:55:57.889242Z

Reference resolution

58 of 58 outbound references displayed

verified exact2
verified fuzzy30
unresolved24
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ea9e3af-c667-4a90-a6d9-5d6143a444a5 · outbound

This paper cites Empirical explorations with the logic theory machine: A case study in heuristics,.

Demystifying AI Agents: The Final Generation of Intelligence Empirical explorations with the logic theory machine: A case study in heuristics,

Reference 1

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Observation 54b1b699-4eb0-490b-abf5-1fa5d6614118 · outbound

This paper cites ELIZA–a computer program for the study of nat- ural language communication between man and machine,.

Demystifying AI Agents: The Final Generation of Intelligence ELIZA–a computer program for the study of nat- ural language communication between man and machine,

Reference 2

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Observation 2ee73533-8b30-4983-b5ae-6eeb74706dcb · outbound

This paper cites GPT-4 Technical Report.

Demystifying AI Agents: The Final Generation of Intelligence GPT-4 Technical Report

Reference 3

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Observation 3808205d-4386-4702-92fb-7bc6a5a259e4 · outbound

This paper cites Cramming more components onto integrated circuits,.

Demystifying AI Agents: The Final Generation of Intelligence Cramming more components onto integrated circuits,

Reference 4

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Observation 479b3f32-1951-4a79-9e8a-7982e349417d · outbound

This paper cites Attention is All You Need,.

Demystifying AI Agents: The Final Generation of Intelligence Attention is All You Need,

Reference 5

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Observation 4cf73781-0cd8-4af9-beca-f53351c161e6 · outbound

This paper cites Training language models to follow instruc- tions with human feedback,.

Demystifying AI Agents: The Final Generation of Intelligence Training language models to follow instruc- tions with human feedback,

Reference 6

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Source-reported events for the cited work

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Observation 292f0621-75dd-458d-8050-61cd4bab2c7d · outbound

This paper cites Deep Blue,.

Demystifying AI Agents: The Final Generation of Intelligence Deep Blue,

Reference 7

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Observation a69e24d9-52c5-42b1-bc4d-25c4e6330907 · outbound

This paper cites Language Models are Few-Shot Learners,.

Demystifying AI Agents: The Final Generation of Intelligence Language Models are Few-Shot Learners,

Reference 8

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Observation 39cdc10e-ebca-4f9f-9479-aab226a2dad2 · outbound

This paper cites Prompting Large Language Models for Legal Analysis Tasks,.

Demystifying AI Agents: The Final Generation of Intelligence Prompting Large Language Models for Legal Analysis Tasks,

Reference 9

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Observation ffd6765f-7558-4a84-a648-b63a473c94d5 · outbound

This paper cites Evaluating Large Language Models for Medical Diagno- sis,.

Demystifying AI Agents: The Final Generation of Intelligence Evaluating Large Language Models for Medical Diagno- sis,

Reference 10

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Observation fabcd8ec-d905-4ca5-a1c5-884c73da12a4 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision,.

Demystifying AI Agents: The Final Generation of Intelligence Learning Transferable Visual Models From Natural Language Supervision,

Reference 11

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Observation 7c2aef7a-761a-4c99-b658-68a562c6b321 · outbound

This paper cites GitHub Copilot: Flying Ahead with Speed and Accu- racy,.

Demystifying AI Agents: The Final Generation of Intelligence GitHub Copilot: Flying Ahead with Speed and Accu- racy,

Reference 12

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Source-reported events for the cited work

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Observation 94dccbf4-d08d-41f5-af17-2282b7f08816 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Demystifying AI Agents: The Final Generation of Intelligence Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 13

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Observation 96b46cfc-04f9-4ce9-bd17-5898d9274f4f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Demystifying AI Agents: The Final Generation of Intelligence Training Verifiers to Solve Math Word Problems

Reference 14

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Observation e54120cf-5d7c-4cfa-80b3-4859c1c1a30c · outbound

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

Demystifying AI Agents: The Final Generation of Intelligence BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

Reference 15

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Observation 2d775586-fe7c-43c4-8809-62f4f7197bdd · outbound

This paper cites Improving language models by retrieving from trillions of tokens,.

Demystifying AI Agents: The Final Generation of Intelligence Improving language models by retrieving from trillions of tokens,

Reference 16

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Observation 870e11e6-6989-476d-84bb-3e613bfdcbac · outbound

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

Demystifying AI Agents: The Final Generation of Intelligence Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 17

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Observation 3f5ebc77-8fa0-48c6-8892-480a9ef1cd24 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

Demystifying AI Agents: The Final Generation of Intelligence CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 18

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Observation 6510369d-202d-45a6-98d8-09c8c650d94e · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,.

Demystifying AI Agents: The Final Generation of Intelligence Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,

Reference 19

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Observation 1cc87067-a994-4963-9735-e2c7fa536747 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners,.

Demystifying AI Agents: The Final Generation of Intelligence Large Language Models are Zero-Shot Reasoners,

Reference 20

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Observation 196343d7-d722-4530-abcc-860465b7d3e0 · outbound

This paper cites Building Watson: An Overview of the DeepQA Project,.

Demystifying AI Agents: The Final Generation of Intelligence Building Watson: An Overview of the DeepQA Project,

Reference 21

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Observation ed916ee1-80d5-4162-b8f6-d59de708d948 · outbound

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Demystifying AI Agents: The Final Generation of Intelligence RankCSE: Unsupervised Sentence Representations via Learning to Rank,

Reference 22

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Observation c321ccea-2a9f-460b-ab28-962901e9ab6d · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods,.

Demystifying AI Agents: The Final Generation of Intelligence TruthfulQA: Measuring How Models Mimic Human Falsehoods,

Reference 23

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Observation 663dd87d-f8aa-4001-bcff-f05588e23668 · outbound

This paper cites Deep reinforcement learning from human pref- erences,.

Demystifying AI Agents: The Final Generation of Intelligence Deep reinforcement learning from human pref- erences,

Reference 24

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Observation b4c108b4-d15a-4365-ba34-7d2a510cc821 · outbound

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Demystifying AI Agents: The Final Generation of Intelligence ChatGPT Sets Record for Fastest-Growing User Base,

Reference 25

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Observation 5153f4c0-d83c-4903-a20b-05da7c71c633 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Demystifying AI Agents: The Final Generation of Intelligence Constitutional AI: Harmlessness from AI Feedback

Reference 26

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Observation 154a856a-d57d-4c4b-89c7-f1d88094e12d · outbound

This paper cites BioBERT: a pre-trained biomedical language representa- tion model for biomedical text mining,.

Demystifying AI Agents: The Final Generation of Intelligence BioBERT: a pre-trained biomedical language representa- tion model for biomedical text mining,

Reference 27

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Observation 75eb1efc-4b3d-45bf-b503-a73a85ee960e · outbound

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Demystifying AI Agents: The Final Generation of Intelligence Mastering the game of Go with deep neural networks and tree search,

Reference 28

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Observation 08098cfe-150f-4fb3-955b-43fa5287e8c2 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge- Intensive NLP Tasks,.

Demystifying AI Agents: The Final Generation of Intelligence Retrieval-Augmented Generation for Knowledge- Intensive NLP Tasks,

Reference 29

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Observation 39af03ea-9eda-4c14-b88d-70e9fa2048ec · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Demystifying AI Agents: The Final Generation of Intelligence DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 30

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Demystifying AI Agents: The Final Generation of Intelligence MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices,

Reference 31

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Demystifying AI Agents: The Final Generation of Intelligence NVIDIA A100 Tensor Core GPU Architecture,

Reference 32

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Demystifying AI Agents: The Final Generation of Intelligence NVIDIA H100 Tensor Core GPU Architecture,

Reference 33

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Demystifying AI Agents: The Final Generation of Intelligence Energy and Policy Consid- erations for Deep Learning in NLP,

Reference 34

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Demystifying AI Agents: The Final Generation of Intelligence PaLM: Scaling Language Modeling with Path- ways,

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Demystifying AI Agents: The Final Generation of Intelligence TPU v4: An Optically Reconfigurable Super- computer for Machine Learning with Hardware Support for Spar- sity,

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Demystifying AI Agents: The Final Generation of Intelligence Scaling Deep Learning Workloads Beyond the Limits of Today’s Hardware,

Reference 37

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Demystifying AI Agents: The Final Generation of Intelligence EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,

Reference 38

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Demystifying AI Agents: The Final Generation of Intelligence Tesla AI Day 2022,

Reference 39

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Demystifying AI Agents: The Final Generation of Intelligence A million spiking-neuron integrated circuit with a scalable communication network and interface,

Reference 40

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Demystifying AI Agents: The Final Generation of Intelligence Apple unveils iPhone 14 Pro and iPhone 14 Pro Max,

Reference 41

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Demystifying AI Agents: The Final Generation of Intelligence Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity,

Reference 42

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Demystifying AI Agents: The Final Generation of Intelligence Introducing Claude 2.1,

Reference 43

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Demystifying AI Agents: The Final Generation of Intelligence Introducing Gemini: our largest and most capable AI model,

Reference 44

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Demystifying AI Agents: The Final Generation of Intelligence Gemini 1.5: Our next-generation model, break- through long context,

Reference 45

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Demystifying AI Agents: The Final Generation of Intelligence Lost in the Middle: How Language Models Use Long Contexts

Reference 46

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Demystifying AI Agents: The Final Generation of Intelligence WebGPT: Browser-assisted question-answering with human feedback

Reference 47

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Demystifying AI Agents: The Final Generation of Intelligence Auto-GPT: An Autonomous GPT-4 Experiment,

Reference 48

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This paper cites Experimental evidence on the productivity effects of generative artificial intelligence,.

Demystifying AI Agents: The Final Generation of Intelligence Experimental evidence on the productivity effects of generative artificial intelligence,

Reference 49

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Observation 62b56038-1820-47a9-9c38-5a5cac641703 · outbound

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Demystifying AI Agents: The Final Generation of Intelligence Claude 2,

Reference 50

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Observation 8c9542a1-1d79-4ffe-b723-4a1a97bd92ff · outbound

This paper cites Introducing Adept: Useful General Intelligence That Enables Humans And Computers To Work Together Creatively,.

Demystifying AI Agents: The Final Generation of Intelligence Introducing Adept: Useful General Intelligence That Enables Humans And Computers To Work Together Creatively,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:24:12.352180Z

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Observation cbd4ed10-dbe7-46a5-9d44-ae7800f5eb23 · outbound

This paper cites Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,.

Demystifying AI Agents: The Final Generation of Intelligence Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,

Reference 52

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Observation ea224ff9-7a66-42b0-a148-091cfb365627 · outbound

This paper cites The future of employment: How susceptible are jobs to computerisation?.

Demystifying AI Agents: The Final Generation of Intelligence The future of employment: How susceptible are jobs to computerisation?

Reference 53

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Observation e47d95fc-fddd-48a3-877d-1ad1002758da · outbound

This paper cites Killer Robots,.

Demystifying AI Agents: The Final Generation of Intelligence Killer Robots,

Reference 54

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Observation 7ba879dc-c90b-4593-9686-af51dc5df2a9 · outbound

This paper cites Compute Trends Across Three Eras of Machine Learning,.

Demystifying AI Agents: The Final Generation of Intelligence Compute Trends Across Three Eras of Machine Learning,

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 222c57ae-8fae-4cdf-8d5c-56c8da6c1251 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

Demystifying AI Agents: The Final Generation of Intelligence Neural Architecture Search with Reinforcement Learning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T21:24:11.672680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2f51e2-1ff2-458c-b87f-79fe873595a2 · outbound

This paper cites Available: https://papers.nips.cc/paper/2020/hash/ 6b493230205f780e1bc26945df7481e5-Abstract.html.

Demystifying AI Agents: The Final Generation of Intelligence Available: https://papers.nips.cc/paper/2020/hash/ 6b493230205f780e1bc26945df7481e5-Abstract.html

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:24:12.508470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad424deb-8777-4673-b60a-e838eca015f7 · outbound

This paper cites Available: https://www.adept.ai/blog/introducing-adept.

Demystifying AI Agents: The Final Generation of Intelligence Available: https://www.adept.ai/blog/introducing-adept

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:24:12.340166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 82f5b369-d403-4525-a90d-214c6a12a417 · inbound

Rethinking Testing for LLM Applications: Characteristics, Challenges, and a Lightweight Interaction Protocol cites this paper.

Rethinking Testing for LLM Applications: Characteristics, Challenges, and a Lightweight Interaction Protocol Demystifying AI Agents: The Final Generation of Intelligence

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:55:57.895648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.