Training AI Scientists to Replicate Research | Paper Citation Record

Observation 4e81be31-d0ab-46d2-b3b0-24d0043910e4 · outbound

This paper cites Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation.

Training AI Scientists to Replicate Research Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation

Reference 1

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Observation fd2aa81f-0945-45e0-9c89-3d97e83aa6ad · outbound

This paper cites 2026 , eprint=.

Training AI Scientists to Replicate Research 2026 , eprint=

Reference 2

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This paper cites 2026 , howpublished=.

Training AI Scientists to Replicate Research 2026 , howpublished=

Reference 3

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Observation 80127f61-6e97-418f-9775-5a65efd0ef5c · outbound

This paper cites The Annals of Statistics , volume=.

Training AI Scientists to Replicate Research The Annals of Statistics , volume=

Reference 4

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Observation 52e367e9-605e-402b-bcd2-e0bf1a675f20 · outbound

This paper cites How do language models learn facts? Dynamics, curricula and hallucinations.

Training AI Scientists to Replicate Research How do language models learn facts? Dynamics, curricula and hallucinations

Reference 5

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Observation 46a644b5-bf90-4a15-88be-9f39f0bbfbb2 · outbound

This paper cites Learning precise timing with.

Training AI Scientists to Replicate Research Learning precise timing with

Reference 6

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Observation 1f026838-0ec4-473b-a372-7d29897528b4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Training AI Scientists to Replicate Research Adam: A Method for Stochastic Optimization

Reference 7

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Observation 4e12cb9a-d5c6-4dc2-a61e-72652a5847bc · outbound

This paper cites 2006 , howpublished=.

Training AI Scientists to Replicate Research 2006 , howpublished=

Reference 8

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Observation 33c598e3-dc1f-4368-896e-4d1625f6e47c · outbound

This paper cites 3d Conference on Artificial General Intelligence (AGI-2010) , pages=.

Training AI Scientists to Replicate Research 3d Conference on Artificial General Intelligence (AGI-2010) , pages=

Reference 9

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Observation 8b77117d-6a9d-4894-96ea-bad983c3dd06 · outbound

This paper cites Stanford Humanities Review , volume=.

Training AI Scientists to Replicate Research Stanford Humanities Review , volume=

Reference 10

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Observation 3304cad7-d340-4a80-8698-ab68fc7d23b7 · outbound

This paper cites ECAI 2012 , pages=.

Training AI Scientists to Replicate Research ECAI 2012 , pages=

Reference 11

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This paper cites 2011 , publisher =.

Training AI Scientists to Replicate Research 2011 , publisher =

Reference 12

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Observation e2e24cfb-73f4-4071-a09c-cfc6578c8f22 · outbound

This paper cites Leakage and the Reproducibility Crisis in.

Training AI Scientists to Replicate Research Leakage and the Reproducibility Crisis in

Reference 13

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Observation a8b598cd-9c21-481a-af2a-b2b6b0a56126 · outbound

This paper cites AI Magazine , volume =.

Training AI Scientists to Replicate Research AI Magazine , volume =

Reference 14

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Observation 47b4b169-cf21-4546-bef0-84a9fee05ea3 · outbound

This paper cites arXiv preprint arXiv:2603.19461 , year=.

Training AI Scientists to Replicate Research arXiv preprint arXiv:2603.19461 , year=

Reference 15

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Observation dda4cc79-ffb0-4be7-be51-ad9fbf8d6924 · outbound

This paper cites an unresolved cited work.

Training AI Scientists to Replicate Research Unresolved cited work

Reference 16

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Observation 31c246bf-f75e-4dcb-af95-4066963b1155 · outbound

This paper cites Incompressible knowledge probes: Estimating black-box.

Training AI Scientists to Replicate Research Incompressible knowledge probes: Estimating black-box

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T13:35:09.548293Z

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Observation 0a4930bc-c196-47c0-ba19-508c78ab3c98 · outbound

This paper cites International Conference on Learning Representations , year=.

Training AI Scientists to Replicate Research International Conference on Learning Representations , year=

Reference 18

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Observation b7f264fe-ad91-4a96-80ed-60507a195a04 · outbound

This paper cites 2025 , url=.

Training AI Scientists to Replicate Research 2025 , url=

Reference 19

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Observation 4e8eef99-c564-4e81-b3cd-a6b60cc5eda4 · outbound

This paper cites an unresolved cited work.

Training AI Scientists to Replicate Research Unresolved cited work

Reference 20

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Observation 1c67d617-5443-48ac-a5e8-666f1749fcf2 · outbound

This paper cites Physical Review Letters , volume=.

Training AI Scientists to Replicate Research Physical Review Letters , volume=

Reference 21

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Observation 7c461738-0a20-45c2-978c-7223b04e74fe · outbound

This paper cites A Generalist Agent.

Training AI Scientists to Replicate Research A Generalist Agent

Reference 22

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Observation f96acaa0-a272-43d0-8b5a-a5501d0f9944 · outbound

This paper cites 2015 , publisher =.

Training AI Scientists to Replicate Research 2015 , publisher =

Reference 23

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Observation ce76ddba-51b4-4734-b284-3cebf3ff6198 · outbound

This paper cites 2018 , publisher=.

Training AI Scientists to Replicate Research 2018 , publisher=

Reference 24

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Observation 65fcd10d-2863-4371-a0c1-23c9e47d8863 · outbound

This paper cites Organization Science , volume=.

Training AI Scientists to Replicate Research Organization Science , volume=

Reference 25

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Observation 229282b4-a6b5-4317-88c9-35428f2f5ad2 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Training AI Scientists to Replicate Research Advances in Neural Information Processing Systems , year=

Reference 26

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Observation 698830ed-e4b3-4dfa-a4f1-f917f86002d7 · outbound

This paper cites Mastering the game of.

Training AI Scientists to Replicate Research Mastering the game of

Reference 27

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Observation 53f5a8ca-c2af-4009-b093-8f12e552e9e3 · outbound

This paper cites On scalable oversight with weak.

Training AI Scientists to Replicate Research On scalable oversight with weak

Reference 28

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Observation 7aacf96d-82b4-4b27-aabd-7c71d9a5ae21 · outbound

This paper cites Measuring Progress on Scalable Oversight for Large Language Models.

Training AI Scientists to Replicate Research Measuring Progress on Scalable Oversight for Large Language Models

Reference 29

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Observation 4cd137bd-b838-42e2-8e50-30c9fe190134 · outbound

This paper cites Concrete Problems in AI Safety.

Training AI Scientists to Replicate Research Concrete Problems in AI Safety

Reference 30

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Observation 122d722d-ce10-4afd-8c88-4b07f931296f · outbound

This paper cites Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , year=.

Training AI Scientists to Replicate Research Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , year=

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T13:35:09.613238Z

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Observation 85a032bf-2a32-4a08-8248-1ea7fff2a483 · outbound

This paper cites Philosophical Transactions of the Royal Society B: Biological Sciences , volume=.

Training AI Scientists to Replicate Research Philosophical Transactions of the Royal Society B: Biological Sciences , volume=

Reference 32

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Observation 2527fe21-e129-4fd3-a84f-7aecf6b43b54 · outbound

This paper cites Nature Communications , volume=.

Training AI Scientists to Replicate Research Nature Communications , volume=

Reference 33

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This paper cites 2025 , url=.

Training AI Scientists to Replicate Research 2025 , url=

Reference 34

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Observation abdf1be3-1771-4d0b-8296-c6f965a4b37d · outbound

This paper cites 2026 , url=.

Training AI Scientists to Replicate Research 2026 , url=

Reference 35

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Observation 9fd834a8-b301-4666-a605-94324cf44b18 · outbound

This paper cites an unresolved cited work.

Training AI Scientists to Replicate Research Unresolved cited work

Reference 36

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Observation 306056af-a787-4120-b4a9-d2e0240cc431 · outbound

This paper cites an unresolved cited work.

Training AI Scientists to Replicate Research Unresolved cited work

Reference 37

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Training AI Scientists to Replicate Research 2026 , publisher =

Reference 38

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Observation 10538bff-1fa0-4570-948b-dc2b4cca44e9 · outbound

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Training AI Scientists to Replicate Research , title=

Reference 39

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Observation 95e6eab2-1a5b-4a31-bc10-1a19e7c7c86e · outbound

This paper cites arXiv preprint arXiv:2510.21614 , year=.

Training AI Scientists to Replicate Research arXiv preprint arXiv:2510.21614 , year=

Reference 40

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This paper cites Advances in Neural Information Processing Systems , year=.

Training AI Scientists to Replicate Research Advances in Neural Information Processing Systems , year=

Reference 41

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This paper cites Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

Training AI Scientists to Replicate Research Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reference 42

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Observation 62604c51-1f34-4552-8113-cf5649f1e9a6 · outbound

This paper cites Nature , pages=.

Training AI Scientists to Replicate Research Nature , pages=

Reference 43

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Training AI Scientists to Replicate Research 2025 , publisher=

Reference 44

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This paper cites Towards an.

Training AI Scientists to Replicate Research Towards an

Reference 45

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Observation cc336063-f299-48b5-8b18-7ec90d5b37f7 · outbound

This paper cites Open-Ended Learning Leads to Generally Capable Agents.

Training AI Scientists to Replicate Research Open-Ended Learning Leads to Generally Capable Agents

Reference 46

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Observation b03ee85c-3282-4ed4-9a5a-adfebdeef3cb · outbound

This paper cites Rethinking Rubric Generation for Improving.

Training AI Scientists to Replicate Research Rethinking Rubric Generation for Improving

Reference 47

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Observation b3c4c2ff-2814-488c-8edb-7b44604fd5bb · outbound

This paper cites TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation.

Training AI Scientists to Replicate Research TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation

Reference 48

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Observation 6184117c-b2f1-46e9-bcd8-57c99df9b845 · outbound

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Training AI Scientists to Replicate Research Unresolved cited work

Reference 49

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Observation 0c7cdcc8-805f-4f50-94a6-5aa2ab218119 · outbound

This paper cites Training.

Training AI Scientists to Replicate Research Training

Reference 50

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Observation 0314ddec-a363-4f91-b695-8b58d47ce122 · outbound

This paper cites Agent laboratory: Using.

Training AI Scientists to Replicate Research Agent laboratory: Using

Reference 51

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Observation 2f14abe7-78f2-40e9-9847-b42287b1a440 · outbound

This paper cites Automating.

Training AI Scientists to Replicate Research Automating

Reference 52

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Observation 01c3da51-3f93-4767-8786-b321b8a8a565 · outbound

This paper cites Paleobiology , volume=.

Training AI Scientists to Replicate Research Paleobiology , volume=

Reference 53

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Observation afc8dd0a-7cb3-449f-b6a9-4b46bd88266b · outbound

This paper cites DiscoGen: Procedural Generation of Algorithm Discovery Tasks in Machine Learning.

Training AI Scientists to Replicate Research DiscoGen: Procedural Generation of Algorithm Discovery Tasks in Machine Learning

Reference 54

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Observation b70ed42f-d1fd-4f27-a820-04109ac01c9a · outbound

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Training AI Scientists to Replicate Research Advances in Neural Information Processing Systems , year=

Reference 55

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Observation 088df8b7-2007-415b-99ab-dc6c417770bf · outbound

This paper cites 2026 , url=.

Training AI Scientists to Replicate Research 2026 , url=

Reference 56

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Observation 808a30eb-e6b5-4c2b-bd36-416808fa75e8 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Training AI Scientists to Replicate Research AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 57

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Observation 55dbc834-82c6-47eb-a2dc-324e05dc5dd2 · outbound

This paper cites 2026 , url=.

Training AI Scientists to Replicate Research 2026 , url=

Reference 58

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Observation 940fa787-14a9-48c6-aec3-a633feb0a4c0 · outbound

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Training AI Scientists to Replicate Research 2024 , url=

Reference 59

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Observation cbf8a24a-0147-4648-86b6-3d92d85b8665 · outbound

This paper cites DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents.

Training AI Scientists to Replicate Research DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents

Reference 60

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Training AI Scientists to Replicate Research 2024 , url=

Reference 61

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Observation f3d26738-2b5f-4b8f-b52b-4a2c35814191 · outbound

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Training AI Scientists to Replicate Research 2025 , url=

Reference 62

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Observation 333f0863-7218-4635-86ce-6a4dffb39978 · outbound

This paper cites 2025 , url=.

Training AI Scientists to Replicate Research 2025 , url=

Reference 63

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This paper cites 2026 , url=.

Training AI Scientists to Replicate Research 2026 , url=

Reference 64

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Observation f66ba657-2f03-421a-85af-96171ec07331 · outbound

This paper cites 2025 , url=.

Training AI Scientists to Replicate Research 2025 , url=

Reference 65

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Observation c26ef8e1-8cd1-4274-8c55-60f1b647ee59 · outbound

This paper cites Baker and Benjamin Burns and Daniel Adu-Ampratwum and Xuhui Huang and Xia Ning and Song Gao and Yu Su and Huan Sun , journal=.

Training AI Scientists to Replicate Research Baker and Benjamin Burns and Daniel Adu-Ampratwum and Xuhui Huang and Xia Ning and Song Gao and Yu Su and Huan Sun , journal=

Reference 66

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Observation db74fa43-f30a-4a8e-a6e4-a6d83a816608 · outbound

This paper cites SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories.

Training AI Scientists to Replicate Research SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories

Reference 67

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Observation fbdd8295-b417-4f8f-912d-18651fc4e7e9 · outbound

This paper cites Miller and Abhishek Charnalia and Derek Dunfield and Carole-Jean Wu and Pontus Stenetorp and Nicola Cancedda and Jakob Nicolaus Foerster and Yoram Bachrach , journal=.

Training AI Scientists to Replicate Research Miller and Abhishek Charnalia and Derek Dunfield and Carole-Jean Wu and Pontus Stenetorp and Nicola Cancedda and Jakob Nicolaus Foerster and Yoram Bachrach , journal=

Reference 68

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Observation fe8cac74-9099-4b32-b7c0-dca256b1c058 · outbound

This paper cites 2025 , url=.

Training AI Scientists to Replicate Research 2025 , url=

Reference 69

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Observation 140f13ee-6416-486f-bd85-0c3eec19752e · outbound

This paper cites 2026 , url=.

Training AI Scientists to Replicate Research 2026 , url=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-14T13:35:09.792145Z

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Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-14T13:35:09.796925Z

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Observation eff2012a-20d4-4ac1-99e5-94a34071915d · outbound

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Reference 72

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Reference 73

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Reference 74

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Training AI Scientists to Replicate Research Wider or Deeper?

Reference 75

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Observation bd213896-df1e-402c-8a05-6480a9690d2f · outbound

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Training AI Scientists to Replicate Research Algorithm Discovery With

Reference 76

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Training AI Scientists to Replicate Research Human-Timescale Adaptation in an Open-Ended Task Space

Reference 78

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Observation 4a9ad590-b5e4-4cf3-b281-6bef0f6038aa · outbound

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Training AI Scientists to Replicate Research International Conference on Learning Representations , volume=

Reference 79

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Observation f5377805-2b99-42f8-9f7d-dfe787947430 · outbound

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Observation 4ff3f8dc-0502-4d61-851b-dfb3e0b86713 · outbound

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Unavailable: canonical work link unavailable.

Observation a6806dc5-9c84-4202-904d-df279f5ff992 · outbound

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Training AI Scientists to Replicate Research Unresolved cited work

Reference 83

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Observation 5a58e238-3fed-4e26-ba1b-0441540a670e · outbound

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Training AI Scientists to Replicate Research AgentRxiv: Towards Collaborative Autonomous Research

Reference 84

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Observation a1e75978-95f6-41cd-87e6-a129f9b41b03 · outbound

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Training AI Scientists to Replicate Research Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Reference 85

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Reference 86

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Observation 4a8cacb8-f041-4266-9556-fbf13fa7e187 · outbound

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Training AI Scientists to Replicate Research 2408.14033 , archivePrefix=

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-14T13:35:09.871171Z

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Observation 8b7ed65d-2425-40e8-a5ac-63dffc6e7cbc · outbound

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Training AI Scientists to Replicate Research ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 88

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Observation f288ddda-5d00-4c6a-bc64-14460c727481 · outbound

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Reference 89

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Unavailable: canonical work link unavailable.

Observation 1a63a810-1fe4-46e7-9bc8-981925b33deb · outbound

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Reference 90

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Training AI Scientists to Replicate Research Can Coding Agents Reproduce Findings in Computational Materials Science?

Reference 91

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Observation f926d146-7dcd-44b6-843c-3af0c625f889 · outbound

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Reference 92

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Observation 2ad9926b-56bd-46fe-a893-766ff8ef4c78 · outbound

This paper cites Siegel and Sayash Kapoor and Nitya Nadgir and Benedikt Stroebl and Arvind Narayanan , journal=.

Training AI Scientists to Replicate Research Siegel and Sayash Kapoor and Nitya Nadgir and Benedikt Stroebl and Arvind Narayanan , journal=

Reference 93

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Unavailable: canonical work link unavailable.

Observation b7b26016-a5aa-4602-abd0-b4a13e51f6aa · outbound

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Unavailable: canonical work link unavailable.

Observation efcc6f84-2e2c-4437-a80f-d5de7863304e · outbound

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Training AI Scientists to Replicate Research From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking

Reference 95

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Unavailable: canonical work link unavailable.

Observation 1425a7d8-8889-4462-89af-2f23f9346398 · outbound

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Unavailable: canonical work link unavailable.

Observation 5d1da804-a265-4d3f-bf4c-daed658d8edc · outbound

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Training AI Scientists to Replicate Research 2505.19955 , archivePrefix=

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-14T13:35:09.919303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6225bd1c-940f-46f7-8f31-f05e5168399c · outbound

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb024e6d-9a2e-4cf2-96ff-37847b7e0499 · outbound

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Training AI Scientists to Replicate Research 2025 , url=

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2360db6-1452-43d4-a914-6be92c4b5d1e · outbound

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Reference 100

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Reference resolution

Outbound references

Pith citing papers