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Paper Citation Record · LEDGER

AIGS: Generating Science from AI-Powered Automated Falsification

As of 20 August 2026, this Paper Citation Record lists 100 of 114 outbound references and 13 inbound Pith citation observations for arXiv:2411.11910.

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

pith.paper-citation-record.v1
2411.11910 v2

Coverage vector

measured 100 of 114 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:02:19.473724Z

measured 113 of 113 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:31:05.649250Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:35:42.742742Z

Reference resolution

100 of 114 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved86
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21b6ae4e-e0e1-492f-ab89-40dbdbdecfab · outbound

This paper cites Accurate structure prediction of biomolecular interactions with AlphaFold 3.

AIGS: Generating Science from AI-Powered Automated Falsification Accurate structure prediction of biomolecular interactions with AlphaFold 3

Reference 1

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no resolver link, observed 2026-08-12T19:02:19.024501Z

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source=arxiv_source observed=2026-08-12T19:02:19.024501Z digest=sha256:af0f33ade950ea82813c9e4aee02e814dadc0598849b30ae611bf3fa4a6a9ce5

Observation 5596b33f-f0f2-4eff-8061-d3a889c6ff1d · outbound

This paper cites GPT-4 Technical Report.

AIGS: Generating Science from AI-Powered Automated Falsification GPT-4 Technical Report

Reference 2

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no resolver link, observed 2026-08-12T19:02:19.030273Z

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source=arxiv_source observed=2026-08-12T19:02:19.030273Z digest=sha256:b02f905fc58d6ddf16f3bccf45e746fb7320abbe35ce5191b6fba39cc60a46ae

Observation 779b4d27-b654-4712-8622-310385fa0c5f · outbound

This paper cites Artificial Intelligence, Scientific Discovery, and Product Innovation.

AIGS: Generating Science from AI-Powered Automated Falsification Artificial Intelligence, Scientific Discovery, and Product Innovation

Reference 3

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no resolver link, observed 2026-08-12T19:02:19.035068Z

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source=arxiv_source observed=2026-08-12T19:02:19.035068Z digest=sha256:8c850ded05efd0666ac088f4f3b7dbb2f5f8d25472c0355b0b24819a5ba07b2b

Observation 85cb6e0e-7de8-4849-9be1-900042589c3c · outbound

This paper cites Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers.

AIGS: Generating Science from AI-Powered Automated Falsification Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers

Reference 4

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no resolver link, observed 2026-08-12T19:02:19.039589Z

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source=arxiv_source observed=2026-08-12T19:02:19.039589Z digest=sha256:fcb21d1ee5b79c2ec75aba062b29283fc9b9e9b597c4de3b645c893c427b171c

Observation 9ee53649-1e9b-4b4d-8446-f62859e59eaa · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

AIGS: Generating Science from AI-Powered Automated Falsification ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 5

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source=arxiv_source observed=2026-08-12T19:02:19.044581Z digest=sha256:b675bfada8977eb9a68ab42aefb0dc32851eb909904e90bfe5bcf6d8f1665bbc

Observation e423ceb0-d378-4765-a047-26789be4d5c2 · outbound

This paper cites NLTK : The natural language toolkit.

AIGS: Generating Science from AI-Powered Automated Falsification NLTK : The natural language toolkit

Reference 6

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no resolver link, observed 2026-08-12T19:02:19.049452Z

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source=arxiv_source observed=2026-08-12T19:02:19.049452Z digest=sha256:57d2fdd792bb29e8ea359c9b1b1162e1d127d81759169b886f822a121e9051a0

Observation 7c5e5290-1f89-4a62-bdd0-025096f7aaea · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

AIGS: Generating Science from AI-Powered Automated Falsification Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 7

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no resolver link, observed 2026-08-12T19:02:19.054305Z

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source=arxiv_source observed=2026-08-12T19:02:19.054305Z digest=sha256:20a913be4db8b98c0c30d513516a8d49d36048aeb4014aa31ed2336061284004

Observation d5209ce4-9099-4b65-ae9b-680de82fbb01 · outbound

This paper cites Language Models are Few-Shot Learners.

AIGS: Generating Science from AI-Powered Automated Falsification Language Models are Few-Shot Learners

Reference 8

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no resolver link, observed 2026-08-12T19:02:19.059894Z

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source=arxiv_source observed=2026-08-12T19:02:19.059894Z digest=sha256:cda8a254edb764e5881ea340c0a196b3b52c48fde362337b9d01e524f033a83c

Observation 6a74aa5c-4a06-4659-85af-9c78e41b9cf2 · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

AIGS: Generating Science from AI-Powered Automated Falsification MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 9

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source=arxiv_source observed=2026-08-12T19:02:19.064730Z digest=sha256:9aba950691f5edd1b9c4a4a0ab340f0ef604fb67686357343490497761108f7d

Observation 7782ad5e-760e-416d-99d8-4e3369f4fe71 · outbound

This paper cites Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis.

AIGS: Generating Science from AI-Powered Automated Falsification Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis

Reference 10

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source=arxiv_source observed=2026-08-12T19:02:19.069930Z digest=sha256:86e63d7f04697c0ea9d85a33e0038888b8ee7cd6bcc56dcda3ea5454a794561b

Observation 7235cb88-3067-4caf-a087-0882380c646d · outbound

This paper cites Alpagasus: Training a Better Alpaca Model with Fewer Data.

AIGS: Generating Science from AI-Powered Automated Falsification Alpagasus: Training a Better Alpaca Model with Fewer Data

Reference 11

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no resolver link, observed 2026-08-12T19:02:19.074661Z

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source=arxiv_source observed=2026-08-12T19:02:19.074661Z digest=sha256:1fcce02cb783e0b5f08f2e3df384073e1b9bd1472ecd762abb19ca4df0c46864

Observation bb19b92b-124c-4b6b-bc30-1ec2347f615d · outbound

This paper cites Beyond natural language: LLM s leveraging alternative formats for enhanced reasoning and communication.

AIGS: Generating Science from AI-Powered Automated Falsification Beyond natural language: LLM s leveraging alternative formats for enhanced reasoning and communication

Reference 12

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source=arxiv_source observed=2026-08-12T19:02:19.079457Z digest=sha256:e7278461cbf9aa69ad289cfdb38b64c2029c71a5cbd743873e259f4bded78299

Observation 29434ba2-8431-4776-9788-b08b6d2a65f3 · outbound

This paper cites ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.

AIGS: Generating Science from AI-Powered Automated Falsification ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Reference 13

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source=arxiv_source observed=2026-08-12T19:02:19.083819Z digest=sha256:8ca48cc915b0fc4c73189444fddb208bf91f3b73a4eadb262f9ec98d7c02f924

Observation 49ab4161-f5fd-49d7-a607-11bacbf13b8d · outbound

This paper cites A uto D etect: Towards a unified framework for automated weakness detection in large language models.

AIGS: Generating Science from AI-Powered Automated Falsification A uto D etect: Towards a unified framework for automated weakness detection in large language models

Reference 14

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source=arxiv_source observed=2026-08-12T19:02:19.088810Z digest=sha256:ce046d0ec0765bd11a027c6687b0dca4c4fac913a16a6eaa39083a53d4552a96

Observation f87a31e6-223a-492f-b062-f27aff0f83be · outbound

This paper cites MARG: Multi-Agent Review Generation for Scientific Papers.

AIGS: Generating Science from AI-Powered Automated Falsification MARG: Multi-Agent Review Generation for Scientific Papers

Reference 15

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source=arxiv_source observed=2026-08-12T19:02:19.092924Z digest=sha256:7e51875d9e17e1d276a2292d0f29c8f0c791211556ac6788fa0024cb8c68d2f6

Observation 99e65a1e-57b7-4105-b707-594ca5a4d01e · outbound

This paper cites Magnetic control of tokamak plasmas through deep reinforcement learning.

AIGS: Generating Science from AI-Powered Automated Falsification Magnetic control of tokamak plasmas through deep reinforcement learning

Reference 16

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no resolver link, observed 2026-08-12T19:02:19.097688Z

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source=arxiv_source observed=2026-08-12T19:02:19.097688Z digest=sha256:7578c3741a697373b01b8493dc03b708c72ce09e2a8cdebc586fe8160cca9944

Observation bce71bef-4490-4f68-91f4-72b8a07d136f · outbound

This paper cites LLM s assist NLP researchers: Critique paper (meta-)reviewing.

AIGS: Generating Science from AI-Powered Automated Falsification LLM s assist NLP researchers: Critique paper (meta-)reviewing

Reference 17

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no resolver link, observed 2026-08-12T19:02:19.101955Z

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source=arxiv_source observed=2026-08-12T19:02:19.101955Z digest=sha256:3e25ddb51a68a7b2551662544130998a90a0feef48d03437149a0382e2532537

Observation 4e8b8686-e109-4ab6-ae4b-26dc31e204f1 · outbound

This paper cites Large language models empowered agent-based modeling and simulation: A survey and perspectives.

AIGS: Generating Science from AI-Powered Automated Falsification Large language models empowered agent-based modeling and simulation: A survey and perspectives

Reference 18

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source=arxiv_source observed=2026-08-12T19:02:19.106543Z digest=sha256:5c8eb86f1aeb689851d315c9c6656cb3aa69902583b2515722b7687582e1bda5

Observation 152a7728-86bf-4b2f-8e37-0375d5ff0b03 · outbound

This paper cites Is ChatGPT Transforming Academics' Writing Style?.

AIGS: Generating Science from AI-Powered Automated Falsification Is ChatGPT Transforming Academics' Writing Style?

Reference 19

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source=arxiv_source observed=2026-08-12T19:02:19.111325Z digest=sha256:2530b8322cd32b793628eb96e8cce895f46c931e942cf32d29d9ed3fc72d46b1

Observation 0ec8b197-c98f-40dd-bf2e-619321aa66bc · outbound

This paper cites Deep neural networks to enable real-time multimessenger astrophysics.

AIGS: Generating Science from AI-Powered Automated Falsification Deep neural networks to enable real-time multimessenger astrophysics

Reference 20

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no resolver link, observed 2026-08-12T19:02:19.116049Z

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source=arxiv_source observed=2026-08-12T19:02:19.116049Z digest=sha256:8de77cff8bad3b4421e6b453ffc978e024d09cbf76ce326a2e4696f0475a8335

Observation 01cede72-c70d-4a81-928c-353720f3151f · outbound

This paper cites ProtAgents : protein discovery via large language model multi-agent collaborations combining physics and machine learning.

AIGS: Generating Science from AI-Powered Automated Falsification ProtAgents : protein discovery via large language model multi-agent collaborations combining physics and machine learning

Reference 21

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source=arxiv_source observed=2026-08-12T19:02:19.119800Z digest=sha256:4e6ad3bceb45df0530a9421f3cdc67f8336ea3d4b678a7d9b88d29aabdde5dbf

Observation d325e0ae-947e-4dfa-ace3-26bd7f4b1207 · outbound

This paper cites Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey.

AIGS: Generating Science from AI-Powered Automated Falsification Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Reference 22

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source=arxiv_source observed=2026-08-12T19:02:19.123428Z digest=sha256:1c675d1d8be1cc9f3aa4ec1ddff5d00f7bb52afdec8f19afa3e6549035e1c448

Observation 829c370e-b5d3-4b55-8178-d3999b2eeb2f · outbound

This paper cites Examining the challenges of scientific workflows.

AIGS: Generating Science from AI-Powered Automated Falsification Examining the challenges of scientific workflows

Reference 23

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source=arxiv_source observed=2026-08-12T19:02:19.127480Z digest=sha256:cea9b7f12446a59cabacbb7d97bd8604f8a44a71a657b02f8585d48ab1f8a53c

Observation 127bac06-f486-4f82-963b-6e2b04b761b0 · outbound

This paper cites Schoenholz, Patrick F.

AIGS: Generating Science from AI-Powered Automated Falsification Schoenholz, Patrick F

Reference 24

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no resolver link, observed 2026-08-12T19:02:19.131624Z

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source=arxiv_source observed=2026-08-12T19:02:19.131624Z digest=sha256:9240c9ef19c966d522982329b50071ff3ea89f5e96fe733de87c8dbb4867b763

Observation ab6e8492-e40d-422c-986f-17965316fb8c · outbound

This paper cites Ideas are dimes a dozen: Large language models for idea generation in innovation.

AIGS: Generating Science from AI-Powered Automated Falsification Ideas are dimes a dozen: Large language models for idea generation in innovation

Reference 25

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no resolver link, observed 2026-08-12T19:02:19.135940Z

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source=arxiv_source observed=2026-08-12T19:02:19.135940Z digest=sha256:1f46764d6d2c1fbe3188d7dad059c3eb44754d1bff7d8ef3485ebe8fd76f3f99

Observation 19bc45a8-268b-4509-988a-b1c23479d89e · outbound

This paper cites Using ChatGPT to conduct a literature review.

AIGS: Generating Science from AI-Powered Automated Falsification Using ChatGPT to conduct a literature review

Reference 26

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no resolver link, observed 2026-08-12T19:02:19.140779Z

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source=arxiv_source observed=2026-08-12T19:02:19.140779Z digest=sha256:c5bf34cf60fe0a166d23efbe3e0edf1f477494794b107bcd5daf7b8c3a1b52a8

Observation e7809df3-169f-4637-b539-affb54c0a867 · outbound

This paper cites Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis.

AIGS: Generating Science from AI-Powered Automated Falsification Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis

Reference 27

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no resolver link, observed 2026-08-12T19:02:19.145180Z

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source=arxiv_source observed=2026-08-12T19:02:19.145180Z digest=sha256:45162d1259649d848de8bf32b36d9ae814a991f4b10fa98ea34895e4587b9b4c

Observation 9c27da01-5ed6-4524-b542-33a118f2b7f9 · outbound

This paper cites CHIME : LLM -assisted hierarchical organization of scientific studies for literature review support.

AIGS: Generating Science from AI-Powered Automated Falsification CHIME : LLM -assisted hierarchical organization of scientific studies for literature review support

Reference 28

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no resolver link, observed 2026-08-12T19:02:19.150032Z

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source=arxiv_source observed=2026-08-12T19:02:19.150032Z digest=sha256:f5468a377387fbc4ce319cbd7fb5ad2902819f21fa2e85c03b05e3d54c8095ee

Observation 8d6b5b79-d167-4673-a51a-c3d052ea6660 · outbound

This paper cites Lo RA : Low-rank adaptation of large language models.

AIGS: Generating Science from AI-Powered Automated Falsification Lo RA : Low-rank adaptation of large language models

Reference 29

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source=arxiv_source observed=2026-08-12T19:02:19.154741Z digest=sha256:1c9abb76d1a05463fa63bdcef29d86aa2702a2812f24073eec4823119203e0dd

Observation f22af3df-088f-4d59-837b-787977a5f5a9 · outbound

This paper cites Automated Design of Agentic Systems.

AIGS: Generating Science from AI-Powered Automated Falsification Automated Design of Agentic Systems

Reference 30

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source=arxiv_source observed=2026-08-12T19:02:19.159788Z digest=sha256:e0823d7864ee5f8d407f4e5c65835e6d6065e46f48322fbbb389d3086c5d2287

Observation a77d2cbd-04b2-43b0-a5e6-7b37b68594a0 · outbound

This paper cites Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas.

AIGS: Generating Science from AI-Powered Automated Falsification Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas

Reference 31

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source=arxiv_source observed=2026-08-12T19:02:19.164446Z digest=sha256:a237cd6f358211632e6c519cf05784a0eab24babc142ac7f051cb0c5777f699c

Observation 8db7edd3-4843-49f7-9a10-103c5b62c754 · outbound

This paper cites War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.

AIGS: Generating Science from AI-Powered Automated Falsification War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Reference 32

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source=arxiv_source observed=2026-08-12T19:02:19.169149Z digest=sha256:59740a8fcce4e8f4c30adbf530c22f8cc87481f32d6adea2fa3390d07970a9c7

Observation bdb68192-0dc5-4642-9196-d16e2e6446ca · outbound

This paper cites The role of ChatGPT in scientific communication: writing better scientific review articles.

AIGS: Generating Science from AI-Powered Automated Falsification The role of ChatGPT in scientific communication: writing better scientific review articles

Reference 33

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source=arxiv_source observed=2026-08-12T19:02:19.173829Z digest=sha256:bc7e131870d2d49e8667dae68a702158ade1270ff72faaf6390fdeb24dce7236

Observation 518605c0-6212-4549-84dc-0194c4b51bfe · outbound

This paper cites The hutter prize, 2006.

AIGS: Generating Science from AI-Powered Automated Falsification The hutter prize, 2006

Reference 34

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source=arxiv_source observed=2026-08-12T19:02:19.178768Z digest=sha256:9e760429635463b710a7a9d7bb714fcdba4adf9aff28c14e524c0408f7f0873a

Observation 8fb98fa0-a322-4a6b-b9bd-c9a8696fc77d · outbound

This paper cites \'E tude comparative de la distribution florale dans une portion des alpes et des jura.

AIGS: Generating Science from AI-Powered Automated Falsification \'E tude comparative de la distribution florale dans une portion des alpes et des jura

Reference 35

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source=arxiv_source observed=2026-08-12T19:02:19.183040Z digest=sha256:5c919901d67e1ef607c77a0814e2cb8729fa54942ab996f9af07f597ca1ac9f6

Observation 4f30a2e5-ef8d-4d2e-b259-f33fcc73ef86 · outbound

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

AIGS: Generating Science from AI-Powered Automated Falsification DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents

Reference 36

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source=arxiv_source observed=2026-08-12T19:02:19.187501Z digest=sha256:16670895777ac8e391bd5d3ea3de2252882092922a6bf8202be6b3ac74f99b53

Observation d83a1c29-dd86-436b-9391-a139caeb398c · outbound

This paper cites an unresolved cited work.

AIGS: Generating Science from AI-Powered Automated Falsification Unresolved cited work

Reference 37

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Observation 6c52af68-7f58-44e5-a0d3-8e0833e84e6e · outbound

This paper cites SWE -bench: Can language models resolve real-world github issues? In The Twelfth International Conference on Learning Representations, 2024.

AIGS: Generating Science from AI-Powered Automated Falsification SWE -bench: Can language models resolve real-world github issues? In The Twelfth International Conference on Learning Representations, 2024

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source=arxiv_source observed=2026-08-12T19:02:19.196201Z digest=sha256:4f0918dde2a11dcef15e43296d2b723b4494655e7e11f8d81e629802933ba599

Observation 31804a3a-8ebc-473e-a3ad-9a435ca0985f · outbound

This paper cites AgentReview: Exploring Peer Review Dynamics with LLM Agents.

AIGS: Generating Science from AI-Powered Automated Falsification AgentReview: Exploring Peer Review Dynamics with LLM Agents

Reference 39

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source=arxiv_source observed=2026-08-12T19:02:19.201071Z digest=sha256:6cd901e8e00e6cfdfd76ed45c65f5562de9213669933fd110d47ad458fe31af6

Observation 6ac936f5-fb79-48e2-bd01-7228f3861b4d · outbound

This paper cites DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?.

AIGS: Generating Science from AI-Powered Automated Falsification DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?

Reference 40

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source=arxiv_source observed=2026-08-12T19:02:19.205839Z digest=sha256:2f5c70129da1c6f5962ab72d050583228f5cf7e1b3bcb01d34d99918b7e8cedf

Observation 7db2d3c0-905f-49f3-b2cb-08c015355514 · outbound

This paper cites Accelerating materials discovery using machine learning.

AIGS: Generating Science from AI-Powered Automated Falsification Accelerating materials discovery using machine learning

Reference 41

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source=arxiv_source observed=2026-08-12T19:02:19.210482Z digest=sha256:8e160bef358d6f1133ac75b35c07e8779b397085a18b4c7d29ed726b7e817c8a

Observation 07bc5f82-50f3-4dd1-a862-138f2aba7bc8 · outbound

This paper cites Highly accurate protein structure prediction with AlphaFold.

AIGS: Generating Science from AI-Powered Automated Falsification Highly accurate protein structure prediction with AlphaFold

Reference 42

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source=arxiv_source observed=2026-08-12T19:02:19.215298Z digest=sha256:e7376d38fe1c90fb8d788acf48f78650c6fa9560451af5f4ded0324048f92b13

Observation a0e06116-bcdf-46b3-94fa-56dce0873c2b · outbound

This paper cites The unreasonable effectiveness of recurrent neural networks, 2015.

AIGS: Generating Science from AI-Powered Automated Falsification The unreasonable effectiveness of recurrent neural networks, 2015

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source=arxiv_source observed=2026-08-12T19:02:19.219808Z digest=sha256:256b1d3f5704a166fdae7c3a7b1eccf86482cacf6dc9518c83d58c6e6cd9c6d0

Observation 5b737a7f-7dd9-4e39-b510-25a1a490907d · outbound

This paper cites A watermark for large language models.

AIGS: Generating Science from AI-Powered Automated Falsification A watermark for large language models

Reference 44

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source=arxiv_source observed=2026-08-12T19:02:19.224295Z digest=sha256:543c00bcf73a68211cc4c6573811a267eb11f23762f4a75056d06469036aead6

Observation e9beea2c-4d67-4046-8f3b-fb1f324c0a95 · outbound

This paper cites Can large language models unlock novel scientific research ideas? ArXiv preprint, abs/2409.06185, 2024.

AIGS: Generating Science from AI-Powered Automated Falsification Can large language models unlock novel scientific research ideas? ArXiv preprint, abs/2409.06185, 2024

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source=arxiv_source observed=2026-08-12T19:02:19.228476Z digest=sha256:fa6c2365527126e7b93375f09ffecbfdf3e640eb3a841d4c0e5196844c5d9171

Observation ae205f67-e16d-44d4-bfa7-a011a4ec2d2b · outbound

This paper cites Deep learning.

AIGS: Generating Science from AI-Powered Automated Falsification Deep learning

Reference 46

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source=arxiv_source observed=2026-08-12T19:02:19.232968Z digest=sha256:dcf57d661698a7d505f8aa379c1fcbf76997d73d3b876cc5923163ad34aba765

Observation 459220ad-3ed7-4853-9ef3-d11ec7df1b93 · outbound

This paper cites Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents.

AIGS: Generating Science from AI-Powered Automated Falsification Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents

Reference 47

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source=arxiv_source observed=2026-08-12T19:02:19.237163Z digest=sha256:ee11e8eb4dc51aa1f5dccd595b318898d7519a60e742b9c8c95db312acb9cd5d

Observation 1bb9f3fd-5c92-4be1-9b36-b26c803839ea · outbound

This paper cites MLR-Copilot : Autonomous machine learning research based on large language models agent.

AIGS: Generating Science from AI-Powered Automated Falsification MLR-Copilot : Autonomous machine learning research based on large language models agent

Reference 48

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source=arxiv_source observed=2026-08-12T19:02:19.241478Z digest=sha256:aa04717a53a04ac6e25bc43b1289ab51350939efd74459fe270ab6e2c8120783

Observation dbc73395-8d19-486f-9a9c-5bbf8cdc5bcd · outbound

This paper cites One-shot learning as instruction data prospector for large language models.

AIGS: Generating Science from AI-Powered Automated Falsification One-shot learning as instruction data prospector for large language models

Reference 49

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source=arxiv_source observed=2026-08-12T19:02:19.245561Z digest=sha256:d51b3d9dd7d04dac2c28bf8240d4a5d785deeca35883b248c53b69b98e48bfb7

Observation 5ffc87e7-4285-4520-98cd-31f51aae0566 · outbound

This paper cites ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary.

AIGS: Generating Science from AI-Powered Automated Falsification ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary

Reference 50

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source=arxiv_source observed=2026-08-12T19:02:19.250057Z digest=sha256:5cb29e4b547ee5aaa2b4f2336c93a4d3b38891fa0d5ab6eda668015d6108c1b0

Observation 1dec780a-a6f0-427f-8b95-b56cf767b150 · outbound

This paper cites Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews.

AIGS: Generating Science from AI-Powered Automated Falsification Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

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source=arxiv_source observed=2026-08-12T19:02:19.254630Z digest=sha256:32703699e777ed650a627665f020b6b4f7bd0565c7e0a278df88edda59aeac68

Observation b244a4b2-32f0-4110-840c-7f468239acc6 · outbound

This paper cites Mapping the Increasing Use of LLMs in Scientific Papers.

AIGS: Generating Science from AI-Powered Automated Falsification Mapping the Increasing Use of LLMs in Scientific Papers

Reference 52

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source=arxiv_source observed=2026-08-12T19:02:19.258757Z digest=sha256:a12698d92642f20330bd13c0c0ee20ab11363026758e092a1ee62d4e1eff5b4f

Observation 62232eea-5659-458e-809c-b52382af0b1f · outbound

This paper cites What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning.

AIGS: Generating Science from AI-Powered Automated Falsification What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

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source=arxiv_source observed=2026-08-12T19:02:19.262866Z digest=sha256:277add0fc13dcab31d3e73d5cad817377160b6afe74d8e1f41eebb64a69c57e3

Observation a4df26b6-6cc6-4622-9203-23ed6fd64527 · outbound

This paper cites ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code.

AIGS: Generating Science from AI-Powered Automated Falsification ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

Reference 54

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source=arxiv_source observed=2026-08-12T19:02:19.266981Z digest=sha256:a81e73e1ba1cfdafac3707a4b32319a1ae50cf5583e85474d8cb537e7b2781ce

Observation 676ca12b-5008-49ee-b841-04847bd2e679 · outbound

This paper cites A dynamic LLM -powered agent network for task-oriented agent collaboration.

AIGS: Generating Science from AI-Powered Automated Falsification A dynamic LLM -powered agent network for task-oriented agent collaboration

Reference 55

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source=arxiv_source observed=2026-08-12T19:02:19.271284Z digest=sha256:6b65e7ec05f5d0ab3051a021f8474d97d86515dc7f4a7751923d7e5a048daf55

Observation 79bcd984-ff27-4b3f-8294-3ac823666eb1 · outbound

This paper cites AAAR-1.0: Assessing AI's Potential to Assist Research.

AIGS: Generating Science from AI-Powered Automated Falsification AAAR-1.0: Assessing AI's Potential to Assist Research

Reference 56

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source=arxiv_source observed=2026-08-12T19:02:19.275530Z digest=sha256:8aa79655397d3c9e0fc58a5af9a5b82e1aff596f6d972f86cd75c4f5475dbd27

Observation ec2fd825-b8a2-4c47-b3da-99459fbbf738 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

AIGS: Generating Science from AI-Powered Automated Falsification The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 57

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source=arxiv_source observed=2026-08-12T19:02:19.280329Z digest=sha256:c5204de007898e75634130a2606673107833de0b1d590eee44e6e00007c11017

Observation 83be2061-3b24-4906-bad6-d88d37c3712c · outbound

This paper cites Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller.

AIGS: Generating Science from AI-Powered Automated Falsification Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller

Reference 58

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source=arxiv_source observed=2026-08-12T19:02:19.285581Z digest=sha256:c60bfa928eb5ef2f21db7ed4c3db8f2b991e061fdb8caf18b4e1077dbd39b6dc

Observation 3ee5fb57-c61c-41cd-9322-90779ebe1412 · outbound

This paper cites LLM and simulation as bilevel optimizers: A new paradigm to advance physical scientific discovery.

AIGS: Generating Science from AI-Powered Automated Falsification LLM and simulation as bilevel optimizers: A new paradigm to advance physical scientific discovery

Reference 59

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source=arxiv_source observed=2026-08-12T19:02:19.290050Z digest=sha256:3e066ba3c76d8db10e98a111f9a021340f7293063cfdf58e99c6ab2d949b4456

Observation fd5a4f21-4fea-4866-b820-380db614d3bb · outbound

This paper cites About the test data, 2011.

AIGS: Generating Science from AI-Powered Automated Falsification About the test data, 2011

Reference 60

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source=arxiv_source observed=2026-08-12T19:02:19.294411Z digest=sha256:2c19974a007392c963c31ec79fa40030df22adef2e58b4cdcd6af1a217df7d9d

Observation 73609197-614f-4a7f-9f72-694251f525d9 · outbound

This paper cites Automated social science: Language models as scientist and subjects.

AIGS: Generating Science from AI-Powered Automated Falsification Automated social science: Language models as scientist and subjects

Reference 61

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source=arxiv_source observed=2026-08-12T19:02:19.298878Z digest=sha256:6fda615b508e584b0b9786f0e5422d1ffe0658370ede141468701e932fec6345

Observation 704ca59b-50c4-4424-a10c-a3888922ef0d · outbound

This paper cites LLM Critics Help Catch LLM Bugs.

AIGS: Generating Science from AI-Powered Automated Falsification LLM Critics Help Catch LLM Bugs

Reference 62

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source=arxiv_source observed=2026-08-12T19:02:19.303413Z digest=sha256:d4433b6a1b7c941196ed7fd0656c289950464ef56e5682ec6236e4ea9ba24f5b

Observation c5ea3dbb-010c-489f-bc8a-4b9e08fba464 · outbound

This paper cites an unresolved cited work.

AIGS: Generating Science from AI-Powered Automated Falsification Unresolved cited work

Reference 63

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source=arxiv_source observed=2026-08-12T19:02:19.308689Z digest=sha256:6caf6a06b0f2707e04d71462161f0ec0b2232850363eac1e463ace088cd0b988

Observation 58d5b159-ae9a-4911-a8c3-ad7fc76706e8 · outbound

This paper cites Acceleron: A Tool to Accelerate Research Ideation.

AIGS: Generating Science from AI-Powered Automated Falsification Acceleron: A Tool to Accelerate Research Ideation

Reference 64

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source=arxiv_source observed=2026-08-12T19:02:19.313420Z digest=sha256:6e724f3a6186dfc04683ad36f9d2014bafae55d4bb1744791c290185ef6d4edf

Observation f7aaeaa3-5213-4806-bef2-be90f5f4e51a · outbound

This paper cites An interactive Co-Pilot for accelerated research ideation.

AIGS: Generating Science from AI-Powered Automated Falsification An interactive Co-Pilot for accelerated research ideation

Reference 65

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source=arxiv_source observed=2026-08-12T19:02:19.318443Z digest=sha256:d21da3081e80a21c8394c6b14d34087b3d7b26780214184a815e6153731521d5

Observation e86f93c5-1e5e-4836-9f36-2dddc851a4a3 · outbound

This paper cites Training language models to follow instructions with human feedback.

AIGS: Generating Science from AI-Powered Automated Falsification Training language models to follow instructions with human feedback

Reference 66

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source=arxiv_source observed=2026-08-12T19:02:19.323111Z digest=sha256:de357a2987caba0956b40ec5be27aa0db88c43351985903744865eb952f905c3

Observation ef4a9bad-ffff-4a0f-8179-5489258a612d · outbound

This paper cites ART: Automatic multi-step reasoning and tool-use for large language models.

AIGS: Generating Science from AI-Powered Automated Falsification ART: Automatic multi-step reasoning and tool-use for large language models

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source=arxiv_source observed=2026-08-12T19:02:19.327309Z digest=sha256:87278f788778e52a6d90f907c4c417b62acdd5f512d0ab452adc4a94555219bc

Observation 9d1172ea-faa5-4b7a-8201-61de819df486 · outbound

This paper cites Social simulacra: Creating populated prototypes for social computing systems.

AIGS: Generating Science from AI-Powered Automated Falsification Social simulacra: Creating populated prototypes for social computing systems

Reference 68

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source=arxiv_source observed=2026-08-12T19:02:19.331302Z digest=sha256:123407ab51b5055fee18526270c2e61f5cdfac1aedd8aae82035bf51cf082fc9

Observation 67b8d29e-bbab-4dd5-bdbd-df2256b7b78d · outbound

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

AIGS: Generating Science from AI-Powered Automated Falsification Generative agents: Interactive simulacra of human behavior

Reference 69

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source=arxiv_source observed=2026-08-12T19:02:19.335220Z digest=sha256:004aef621101b7b4c69947137376a37e964f93188ddc34ca12f10d00dc951007

Observation e74f2072-0ebe-4250-989a-82d1a096f761 · outbound

This paper cites Instruction Tuning with GPT-4.

AIGS: Generating Science from AI-Powered Automated Falsification Instruction Tuning with GPT-4

Reference 70

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source=arxiv_source observed=2026-08-12T19:02:19.339115Z digest=sha256:73f1157d64bbb29956904753b7248ec6e82b79aea0ab75b07bd16d391a2a3b76

Observation 4091f81d-582f-4207-85bd-07e7cfd4917b · outbound

This paper cites Plummer, Zhaoran Wang, and Hongxia Yang.

AIGS: Generating Science from AI-Powered Automated Falsification Plummer, Zhaoran Wang, and Hongxia Yang

Reference 71

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raw_fallback, observed 2026-08-12T19:02:20.796019Z

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

source=arxiv_source observed=2026-08-12T19:02:19.343895Z digest=sha256:f74567a91602dc01e282d6ed26647deb7a1eee625bc1b75f53559be72c8c8d7c

Observation 378bb4f1-dc68-4efd-a33b-b26072291682 · outbound

This paper cites an unresolved cited work.

AIGS: Generating Science from AI-Powered Automated Falsification Unresolved cited work

Reference 72

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

source=arxiv_source observed=2026-08-12T19:02:19.348261Z digest=sha256:71a6cabe26f8f486924e3191f7d8649a5c2155a62ab9bbba5babacf83febb6ee

Observation 20d7ac34-09c0-45e0-bf63-703b36b1a580 · outbound

This paper cites Large Language Models are Zero Shot Hypothesis Proposers.

AIGS: Generating Science from AI-Powered Automated Falsification Large Language Models are Zero Shot Hypothesis Proposers

Reference 73

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source=arxiv_source observed=2026-08-12T19:02:19.352576Z digest=sha256:414889801f17386417748d64c7e8528e137eb1ac24ac81144ee752c9f779bb7c

Observation 0d1de258-6b4d-4348-86bd-6d268382cd3c · outbound

This paper cites ToolLLM : Facilitating large language models to master 16000+ real-world APIs.

AIGS: Generating Science from AI-Powered Automated Falsification ToolLLM : Facilitating large language models to master 16000+ real-world APIs

Reference 74

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

source=arxiv_source observed=2026-08-12T19:02:19.357310Z digest=sha256:6c06bca2833b9f4674a7bd5376fbc90cc4d998318959f0e3881b5a702e8b6857

Observation e5c3e386-1ecd-4e7d-9351-b7a6b6909272 · outbound

This paper cites Improving language understanding by generative pre-training.

AIGS: Generating Science from AI-Powered Automated Falsification Improving language understanding by generative pre-training

Reference 75

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source=arxiv_source observed=2026-08-12T19:02:19.361326Z digest=sha256:88cc9d9024d83ed9996753ebeb51cd121d972eb707467f6c6691b4c29e7806bc

Observation 82e06125-1585-447d-9b69-255f172b47f4 · outbound

This paper cites Mathematical discoveries from program search with large language models.

AIGS: Generating Science from AI-Powered Automated Falsification Mathematical discoveries from program search with large language models

Reference 76

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source=arxiv_source observed=2026-08-12T19:02:19.365601Z digest=sha256:07a64e88ada00fb2c77d514512c822ff9861b661a9d5595859ac72ef16ef6f66

Observation a8462546-3da8-473b-bd83-7696c5a1a9f5 · outbound

This paper cites Battaglia.

AIGS: Generating Science from AI-Powered Automated Falsification Battaglia

Reference 77

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source=arxiv_source observed=2026-08-12T19:02:19.369744Z digest=sha256:426db5e4aa431a6ff5aaa3a21af26d98ea6f646411de5ec0ec1a3cbeac23caca

Observation d5578f5c-ddcb-42c0-a386-8a3d931d7c0f · outbound

This paper cites DRIFT: A toolkit for diachronic analysis of scientific literature.

AIGS: Generating Science from AI-Powered Automated Falsification DRIFT: A toolkit for diachronic analysis of scientific literature

Reference 78

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

source=arxiv_source observed=2026-08-12T19:02:19.374064Z digest=sha256:cb37dcc32be8c63479632c1ee5e1fdec3287d2352febe4ebdf5eaf178d395e16

Observation 885e0381-666e-484c-b7db-d0e23d8974fd · outbound

This paper cites LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.

AIGS: Generating Science from AI-Powered Automated Falsification LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 79

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source=arxiv_source observed=2026-08-12T19:02:19.378304Z digest=sha256:a13448b62766522d4d319f7c57daeeb0ebda552408949315467c12ca66574951

Observation 47706a0d-0514-46f0-ba4d-6f035b3f4fcf · outbound

This paper cites Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers.

AIGS: Generating Science from AI-Powered Automated Falsification Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Reference 80

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source=arxiv_source observed=2026-08-12T19:02:19.382866Z digest=sha256:7c92e20b556a9a0657ea87dc920b2fc242bfa11db45cf4f48410126914c0f05e

Observation 8e3cfbeb-79c1-4859-be9a-70c45abfb966 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

AIGS: Generating Science from AI-Powered Automated Falsification Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 81

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source=arxiv_source observed=2026-08-12T19:02:19.387544Z digest=sha256:d98e69fb0d8114fc8410e109807115e4e18888076cf85990c3037a460da37ec0

Observation fa24bb5f-9d38-453d-afa2-14339353999f · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano.

AIGS: Generating Science from AI-Powered Automated Falsification Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano

Reference 82

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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.

source=arxiv_source observed=2026-08-12T19:02:19.392903Z digest=sha256:b715ef10c6849a47d21b8af629c81cfc2c14c9e10cf43469a41376bde8b71d22

Observation d3b8f1c0-b645-456e-af6c-26b6fe272af7 · outbound

This paper cites Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System.

AIGS: Generating Science from AI-Powered Automated Falsification Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System

Reference 83

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source=arxiv_source observed=2026-08-12T19:02:19.397354Z digest=sha256:847fb24b42d01e24f5e05b563e3ac42a0124a3bb6f5a44bb77caea7edeb31ef5

Observation cbea03b3-8166-4384-a168-695326eb1a71 · outbound

This paper cites ReviewFlow : Intelligent scaffolding to support academic peer reviewing.

AIGS: Generating Science from AI-Powered Automated Falsification ReviewFlow : Intelligent scaffolding to support academic peer reviewing

Reference 84

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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.

source=arxiv_source observed=2026-08-12T19:02:19.402995Z digest=sha256:16a96de9043e7bc8d0f12e1fe6ac5305e509e438150c15a96f5b1cf67d55d156

Observation 165844f8-5b77-4669-8c9c-cea1dbf7f2da · outbound

This paper cites Bulaong, John E.

AIGS: Generating Science from AI-Powered Automated Falsification Bulaong, John E

Reference 85

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source=arxiv_source observed=2026-08-12T19:02:19.407413Z digest=sha256:e9fd291e3ab22a4369e876b97cb8e7e2add7ec23dabf79a68622e743ada22b9c

Observation 72231a5f-7d99-42c7-b7a0-898fd0d040f2 · outbound

This paper cites Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy.

AIGS: Generating Science from AI-Powered Automated Falsification Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy

Reference 86

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no resolver link, observed 2026-08-12T19:02:19.411596Z

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source=arxiv_source observed=2026-08-12T19:02:19.411596Z digest=sha256:f7bd81f218b421ba9651b7e54cfeecdb8729665a6aa4818d147e1e6c209ed141

Observation 641c8e7a-2aa1-4d6e-b6ae-be667866cd6f · outbound

This paper cites MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution.

AIGS: Generating Science from AI-Powered Automated Falsification MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 87

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no resolver link, observed 2026-08-12T19:02:19.416564Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T19:02:19.416564Z digest=sha256:90e087a0ab5745597a4a15c101d03f72c925589a7e16b6e0da357051d067534b

Observation 8ae16137-13bf-4531-9350-35e7f696b661 · outbound

This paper cites Solving olympiad geometry without human demonstrations.

AIGS: Generating Science from AI-Powered Automated Falsification Solving olympiad geometry without human demonstrations

Reference 88

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source=arxiv_source observed=2026-08-12T19:02:19.421365Z digest=sha256:1fba53f667e8e95debf6208191b0878b30fdfc7c3d1be3d9e56e2013ec635250

Observation dd0e31ad-fe5c-484b-af69-857bb59f138d · outbound

This paper cites AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews.

AIGS: Generating Science from AI-Powered Automated Falsification AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews

Reference 89

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source=arxiv_source observed=2026-08-12T19:02:19.425883Z digest=sha256:9d0fa5f85fe2f8d73a964146281d360b9d46951f391c17c5e149e1a40d2fe7b2

Observation e4b99826-7e61-4051-82e8-529977cc7112 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

AIGS: Generating Science from AI-Powered Automated Falsification Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 90

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no resolver link, observed 2026-08-12T19:02:19.430592Z

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source=arxiv_source observed=2026-08-12T19:02:19.430592Z digest=sha256:7b883b60f13bfeab2dd2b4e2c79ae7d0ae4cb0277098c1d0a0ec862d4c730c45

Observation 518b6282-cd12-48c0-a44f-165f58b27934 · outbound

This paper cites Scientific discovery in the age of artificial intelligence.

AIGS: Generating Science from AI-Powered Automated Falsification Scientific discovery in the age of artificial intelligence

Reference 91

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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.

source=arxiv_source observed=2026-08-12T19:02:19.435227Z digest=sha256:d44d42acc399559d99c1889a4c8b07a68fa1b6a65290a6c0dc92db70747535a8

Observation b56da2e0-0f2f-4e79-96cd-39cab1574064 · outbound

This paper cites ChatGPT in drug discovery: A case study on anticocaine addiction drug development with Chatbots.

AIGS: Generating Science from AI-Powered Automated Falsification ChatGPT in drug discovery: A case study on anticocaine addiction drug development with Chatbots

Reference 92

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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.

source=arxiv_source observed=2026-08-12T19:02:19.439748Z digest=sha256:31949d6f5827cfc88041a9592fe7b40ed070abc29c6f09869c1c0594ca4271cb

Observation 0e9bd3ac-4cb8-48e7-b524-612a9a8e913e · outbound

This paper cites an unresolved cited work.

AIGS: Generating Science from AI-Powered Automated Falsification Unresolved cited work

Reference 93

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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.

source=arxiv_source observed=2026-08-12T19:02:19.443980Z digest=sha256:2e35c2cdd57a8cf2699110364df20ac09adef45d7bbe5b5c1d187fe2e1388562

Observation e6631d82-cd8b-403c-b15a-244f9f17e21d · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

AIGS: Generating Science from AI-Powered Automated Falsification OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 94

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source=arxiv_source observed=2026-08-12T19:02:19.448189Z digest=sha256:37cb9e2a0e8765453ab70341a57da25558ffd95199aebd5a8f5f6d5c1d2ce811

Observation cce7edcb-bfbf-4ca6-a922-abe21f7f8c79 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

AIGS: Generating Science from AI-Powered Automated Falsification Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 95

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source=arxiv_source observed=2026-08-12T19:02:19.452610Z digest=sha256:706173d88d5178aacf4589addbe021862d63c223f9e7bd264d69944bf443be19

Observation e47bec1a-696c-47ff-b863-4f8141db89c6 · outbound

This paper cites Cycleresearcher: Improving automated research via automated review.

AIGS: Generating Science from AI-Powered Automated Falsification Cycleresearcher: Improving automated research via automated review

Reference 96

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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.

source=arxiv_source observed=2026-08-12T19:02:19.457076Z digest=sha256:55e7d92141d976f6c724fea59a254a7ff29260cedede8e746c8187e934dd37be

Observation 444e9094-c776-4c17-84ee-7f90f94cbb81 · outbound

This paper cites Pride and prejudice: LLM amplifies self-bias in self-refinement.

AIGS: Generating Science from AI-Powered Automated Falsification Pride and prejudice: LLM amplifies self-bias in self-refinement

Reference 97

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source=arxiv_source observed=2026-08-12T19:02:19.461284Z digest=sha256:d1e2a0b2527f2e52b761debc3d972dca2e45b8819d04a50928130596994cb8bc

Observation f09b5e4e-2775-490b-a8fc-1dbbc5181aca · outbound

This paper cites Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf.

AIGS: Generating Science from AI-Powered Automated Falsification Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf

Reference 98

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no resolver link, observed 2026-08-12T19:02:19.465804Z

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source=arxiv_source observed=2026-08-12T19:02:19.465804Z digest=sha256:d255680dd2722ff73b8c73541ca7ef129641af1e21a7c1306e492826bd58e281

Observation 366eeb5d-f9d2-4f92-bf7a-7fe1469ada40 · outbound

This paper cites Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press.

AIGS: Generating Science from AI-Powered Automated Falsification Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press

Reference 99

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raw_fallback, observed 2026-08-12T19:02:20.635084Z

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.

source=arxiv_source observed=2026-08-12T19:02:19.469817Z digest=sha256:08e7920a4c126768cfa42434be4c80427457052046dda632c7dcda5996d7af95

Observation 1f9af98e-a6f2-48bf-a29a-16850d203e9e · outbound

This paper cites A survey on detection of LLM s-generated content.

AIGS: Generating Science from AI-Powered Automated Falsification A survey on detection of LLM s-generated content

Reference 100

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

source=arxiv_source observed=2026-08-12T19:02:19.473724Z digest=sha256:c9c833d9c207fef9cf7cee8a7eaf75a72e0cc65364ed57cb27c077a8e8aa779d

Pith citing papers

Observation 8c041123-f348-40c5-8178-1b6636579f08 · inbound

AI Mathematician: Towards Fully Automated Frontier Mathematical Research cites this paper.

AI Mathematician: Towards Fully Automated Frontier Mathematical Research AIGS: Generating Science from AI-Powered Automated Falsification

Reference 2003

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source=pdf_text observed=2026-08-07T13:11:43.113459Z digest=sha256:587f4b5530527e5b5578fe8157c7a477abd1984a732c3e1e04d22eb93690e108

Observation 6a05857c-d6ba-441d-967d-6954f3293163 · inbound

AI Scientists Fail Without Strong Implementation Capability cites this paper.

AI Scientists Fail Without Strong Implementation Capability AIGS: Generating Science from AI-Powered Automated Falsification

Reference 26

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no resolver link, observed 2026-08-07T11:49:03.834636Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:49:03.834636Z digest=sha256:80a621e0219208111f04c7dd7573550ed2875bd359982bf1d365d7f23d393c6c

Observation 9d13432f-b655-4c25-9755-b87f09a4336c · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications AIGS: Generating Science from AI-Powered Automated Falsification

Reference 155

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no resolver link, observed 2026-08-07T00:48:21.147994Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:21.147994Z digest=sha256:633486c10173024a9d489bd62782ee4fe75c9b93812963220a6288551ce73bc7

Observation c0cf9533-605b-497f-bcc4-27e0956527bf · inbound

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator cites this paper.

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator AIGS: Generating Science from AI-Powered Automated Falsification

Reference 108

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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.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:dbe13cc950d563fa315e5f130b853ea0116e8989f4f55c5ee5b0b178065ea36a

Observation 27698d49-eb1e-4027-9fd3-db5a28ff36b3 · inbound

How Far Are AI Scientists from Changing the World? cites this paper.

How Far Are AI Scientists from Changing the World? AIGS: Generating Science from AI-Powered Automated Falsification

Reference 108

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source=arxiv_source observed=2026-08-06T10:55:14.885686Z digest=sha256:c13f96fb0c32a014cdf5cfb10c236dcdde96e3bf6fea41c4a9420038cf131193

Observation 9cc2a941-587b-4cbe-a6ca-d3a516a1e0c5 · inbound

Knows: Agent-Native Structured Research Representations cites this paper.

Knows: Agent-Native Structured Research Representations AIGS: Generating Science from AI-Powered Automated Falsification

Reference 13

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metadata mismatch
arxiv_id, observed 2026-05-10T06:51:46.027972Z

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.

source=pdf_text observed=2026-05-10T06:49:47.537978Z digest=sha256:f3a9bfe152de970de2f39e43ca120bc05ce35f965e35749248b3f5b6a38d4f84

Observation 45fed11f-32c9-45c8-aa21-7c47291f342f · inbound

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists cites this paper.

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists AIGS: Generating Science from AI-Powered Automated Falsification

Reference 33

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arxiv_id, observed 2026-05-12T10:16:28.546252Z

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.

source=pdf_text observed=2026-05-07T06:42:17.145367Z digest=sha256:e9ff3a916c6275ae59df04490b5994bebc6e290ac842b2fa21b79b330ca0dec3

Observation 7b5b81c6-6aa1-495e-b2fc-db91c5ac2e62 · inbound

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery cites this paper.

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery AIGS: Generating Science from AI-Powered Automated Falsification

Reference 76

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arxiv_id, observed 2026-05-25T04:50:22.083247Z

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.

source=pdf_text observed=2026-05-25T04:46:43.679185Z digest=sha256:289c20c55759f4fcbee460f076f6595f28fea1afa30ea20742d0ff4150a793b1

Observation 8bcccc5f-2d17-4b0d-b0c1-535392b70096 · inbound

FARS: A Fully Automated Research System Deployed at Scale cites this paper.

FARS: A Fully Automated Research System Deployed at Scale AIGS: Generating Science from AI-Powered Automated Falsification

Reference 15

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metadata mismatch
arxiv_id, observed 2026-07-01T10:35:42.744425Z

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.

source=pdf_text observed=2026-07-01T05:18:53.840963Z digest=sha256:3bb87f28df7c944d81736418af1412dade12bc469112e17bf1952c908eeca254

Observation 0e4f2a9b-eb30-4d75-b037-0554f2577b6f · inbound

FARS: A Fully Automated Research System Deployed at Scale cites this paper.

FARS: A Fully Automated Research System Deployed at Scale AIGS: Generating Science from AI-Powered Automated Falsification

Reference 15

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no resolver link, observed 2026-07-14T16:55:37.417202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:55:37.417202Z digest=sha256:df63af74acb6c55515596196c75854c55541ddbc994579644aadf6b54910040e

Observation ab0ad8b7-e9a9-4707-a120-85d61c7eff45 · inbound

Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agents cites this paper.

Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agents AIGS: Generating Science from AI-Powered Automated Falsification

Reference 37

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no resolver link, observed 2026-07-13T04:47:57.575546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:47:57.575546Z digest=sha256:a7784e875066946170b8122f729a80073fb669eeafe8af28fd754512d1a9ee24

Observation e9ecd09c-2ac4-438e-9081-f3e1b1bb0b92 · inbound

Auditing Discovery Claims: A Two-Sided Criterion for Agentic Science, with the Negative Side Decidable cites this paper.

Auditing Discovery Claims: A Two-Sided Criterion for Agentic Science, with the Negative Side Decidable AIGS: Generating Science from AI-Powered Automated Falsification

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T00:43:15.682929Z

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source=pdf_text observed=2026-08-06T00:43:15.682929Z digest=sha256:b0960bd5751a9bbb7cbea37111ff8739fc3d54e26673c7a846768092d56e6293

Observation 84105d83-9e65-4b30-9c70-4308e6a3555a · inbound

Agentic Auto-Research is Fuzz Testing cites this paper.

Agentic Auto-Research is Fuzz Testing AIGS: Generating Science from AI-Powered Automated Falsification

Reference 28

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no resolver link, observed 2026-08-11T05:31:05.649250Z

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source=pdf_text observed=2026-08-11T05:31:05.649250Z digest=sha256:de284cfaa21be8bab0321a0fa3e9e173278bd9d821b6f5f5a09f6009f3d8c7fd