Paper Citation Record · LEDGER

AI Scientists Fail Without Strong Implementation Capability

As of 10 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 3 inbound Pith citation observations for arXiv:2506.01372.

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

pith.paper-citation-record.v1
2506.01372 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:08.589917Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:50:06.841591Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:03:44.060778Z

Reference resolution

65 of 65 outbound references displayed

verified exact1
verified fuzzy5
unresolved59
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 585cbaa4-8e54-47fb-9164-e43527107246 · outbound

This paper cites The relationship between reasoning and performance in large language models--o3 (mini) thinks harder, not longer.

AI Scientists Fail Without Strong Implementation Capability The relationship between reasoning and performance in large language models--o3 (mini) thinks harder, not longer

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:00.983368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 455fb266-b19a-4eb2-9f40-29ccbf107ead · outbound

This paper cites Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?.

AI Scientists Fail Without Strong Implementation Capability Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:01.121192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6207316a-2237-4f4b-a5fe-c563dc2dee76 · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

AI Scientists Fail Without Strong Implementation Capability Why Do Multi-Agent LLM Systems Fail?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:01.392416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 089f937e-d284-4d45-9032-4f160e40483b · outbound

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

AI Scientists Fail Without Strong Implementation Capability MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:01.526190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 876f5b07-7c47-418d-aa72-f9fd5c158357 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

AI Scientists Fail Without Strong Implementation Capability Evaluating Large Language Models Trained on Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:01.642722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eacc1515-4c04-404b-8f86-dd730f5c796a · outbound

This paper cites Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment.

AI Scientists Fail Without Strong Implementation Capability Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:01.756223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c24984a8-a972-4069-9cd9-29a63c0180ac · outbound

This paper cites IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery.

AI Scientists Fail Without Strong Implementation Capability IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:01.877094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 241d67cb-b175-4b1e-a3be-e5dc6f1f587a · outbound

This paper cites SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning.

AI Scientists Fail Without Strong Implementation Capability SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:02.009902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2855918-989d-414d-9544-9df08d6fe3ee · outbound

This paper cites Towards an AI co-scientist.

AI Scientists Fail Without Strong Implementation Capability Towards an AI co-scientist

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:02.170925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60bd406f-dec0-4d74-b55c-44969e5dc4f0 · outbound

This paper cites LLMs can Realize Combinatorial Creativity: Generating Creative Ideas via LLMs for Scientific Research.

AI Scientists Fail Without Strong Implementation Capability LLMs can Realize Combinatorial Creativity: Generating Creative Ideas via LLMs for Scientific Research

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:02.277328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11fd7b30-7776-474d-914b-ffb838c06046 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

AI Scientists Fail Without Strong Implementation Capability Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:02.382812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8fcd72-2d9b-4c9e-9ac9-88fbd7848eca · outbound

This paper cites PaSa: An LLM Agent for Comprehensive Academic Paper Search.

AI Scientists Fail Without Strong Implementation Capability PaSa: An LLM Agent for Comprehensive Academic Paper Search

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:02.520844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c3c27de-bd74-4666-b467-a0261a7fe174 · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

AI Scientists Fail Without Strong Implementation Capability Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:02.632210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ac99bae-9e1e-44f1-a113-6689bd9d5262 · outbound

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

AI Scientists Fail Without Strong Implementation Capability Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:02.748535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6d4187c-14cb-48e7-9afa-2a8043bb77aa · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

AI Scientists Fail Without Strong Implementation Capability LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:02.892900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a76b139d-8395-4ad3-bb58-e36029c73cb7 · outbound

This paper cites CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation.

AI Scientists Fail Without Strong Implementation Capability CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:03.018962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c02ca024-d610-4280-b654-bec0e03fb7f3 · outbound

This paper cites AIDE: AI-Driven Exploration in the Space of Code.

AI Scientists Fail Without Strong Implementation Capability AIDE: AI-Driven Exploration in the Space of Code

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:03.119196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 204eeaaa-4a33-449e-8507-3885c6d0c685 · outbound

This paper cites LLMs Get Lost In Multi-Turn Conversation.

AI Scientists Fail Without Strong Implementation Capability LLMs Get Lost In Multi-Turn Conversation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:03.467915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d5485d-3adc-4870-9c40-39e4f57dea87 · outbound

This paper cites DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration.

AI Scientists Fail Without Strong Implementation Capability DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:03.711750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites AIGS: Generating Science from AI-Powered Automated Falsification.

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

Reference 26

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235aaf50-4cd0-46de-b0e1-be7201172ac7 · outbound

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

AI Scientists Fail Without Strong Implementation Capability The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:03.993632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aded90f8-1b0e-468e-93ab-0942d7935376 · outbound

This paper cites Sparks of Science: Hypothesis Generation Using Structured Paper Data.

AI Scientists Fail Without Strong Implementation Capability Sparks of Science: Hypothesis Generation Using Structured Paper Data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:04.355306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0beef106-8e32-460f-ac4f-fb8be80c23bf · outbound

This paper cites ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows.

AI Scientists Fail Without Strong Implementation Capability ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:04.506588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2361c1dc-27d8-4b59-8ae5-bf3f0db8e94a · outbound

This paper cites Ideasynth: Iterative research idea development through evolving and composing idea facets with literature-grounded feedback.

AI Scientists Fail Without Strong Implementation Capability Ideasynth: Iterative research idea development through evolving and composing idea facets with literature-grounded feedback

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:04.638623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c18ebcd-7e77-4f2e-aa9a-5068916d1ea1 · outbound

This paper cites Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees.

AI Scientists Fail Without Strong Implementation Capability Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:04.767680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c7066e-a501-4827-89d2-c129711fd55f · outbound

This paper cites Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation.

AI Scientists Fail Without Strong Implementation Capability Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:04.917967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39e3ba0f-4d41-4365-b62e-6c2cc684661d · outbound

This paper cites AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data.

AI Scientists Fail Without Strong Implementation Capability AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:49:09.076092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d38d89a-c551-41ae-b75d-4196d32e43b5 · outbound

This paper cites Spark: A System for Scientifically Creative Idea Generation.

AI Scientists Fail Without Strong Implementation Capability Spark: A System for Scientifically Creative Idea Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:05.153250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc5ffc26-7b64-4ee9-a7e9-e83c1cd9c747 · outbound

This paper cites Agent Laboratory: Using LLM Agents as Research Assistants.

AI Scientists Fail Without Strong Implementation Capability Agent Laboratory: Using LLM Agents as Research Assistants

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:05.207479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30edacd1-f051-4d43-991f-dc5313864317 · outbound

This paper cites Paper2code: Automating code generation from scientific papers in machine learning.arXiv preprint arXiv:2504.17192,.

AI Scientists Fail Without Strong Implementation Capability Paper2code: Automating code generation from scientific papers in machine learning.arXiv preprint arXiv:2504.17192,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:05.244211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73dccdd8-c7f9-4942-a0aa-e64bb379a31b · outbound

This paper cites ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents.

AI Scientists Fail Without Strong Implementation Capability ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:05.401684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f7760b-c717-4a88-9d42-87d77cc67b1e · outbound

This paper cites Canllmsgeneratenovelresearchideas? Alarge-scalehuman study with 100+ NLP researchers.

AI Scientists Fail Without Strong Implementation Capability Canllmsgeneratenovelresearchideas? Alarge-scalehuman study with 100+ NLP researchers

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:12.287112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 02fe6701-6a4d-4a7d-9d10-30c697994b52 · outbound

This paper cites CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark.

AI Scientists Fail Without Strong Implementation Capability CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:05.670557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 697ba589-c9bd-428e-9c24-33fdf2a7200f · outbound

This paper cites PaperBench: Evaluating AI's Ability to Replicate AI Research.

AI Scientists Fail Without Strong Implementation Capability PaperBench: Evaluating AI's Ability to Replicate AI Research

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:05.813810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de0a2467-344b-4148-9fc7-a3d9826f11f3 · outbound

This paper cites ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

AI Scientists Fail Without Strong Implementation Capability ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:06.037989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84be6792-5dfa-49f8-92da-dcfd78801cc6 · outbound

This paper cites SciPIP: An LLM-based Scientific Paper Idea Proposer.

AI Scientists Fail Without Strong Implementation Capability SciPIP: An LLM-based Scientific Paper Idea Proposer

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:06.160799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e630c0-337e-430f-94d1-27ccad2cdf6e · outbound

This paper cites Large language models are better reasoners with self-verification.

AI Scientists Fail Without Strong Implementation Capability Large language models are better reasoners with self-verification

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:06.281808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a60b3c-a999-42e4-8cf4-12660257330c · outbound

This paper cites Shifting Long-Context LLMs Research from Input to Output.

AI Scientists Fail Without Strong Implementation Capability Shifting Long-Context LLMs Research from Input to Output

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:06.406833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fdc8173-864d-447b-9033-9030ba33c6ee · outbound

This paper cites Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models.

AI Scientists Fail Without Strong Implementation Capability Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:06.537534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3749524d-2ac7-4278-af41-25adaf01aefa · outbound

This paper cites The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

AI Scientists Fail Without Strong Implementation Capability The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:06.629089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e2b4c57-17d5-4d04-b0f0-534c632e87cc · outbound

This paper cites Qwen3 Technical Report.

AI Scientists Fail Without Strong Implementation Capability Qwen3 Technical Report

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:06.712106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac39e507-a84f-499d-85d7-57c8fcc4520f · outbound

This paper cites ResearchTown: Simulator of Human Research Community.

AI Scientists Fail Without Strong Implementation Capability ResearchTown: Simulator of Human Research Community

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:06.773231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd66b695-43eb-4d03-a77a-27df4917229c · outbound

This paper cites Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback.

AI Scientists Fail Without Strong Implementation Capability Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:06.874611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0e1b13b-fb6f-4693-bfb9-df451bed8998 · outbound

This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

AI Scientists Fail Without Strong Implementation Capability A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:06.967707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac38bdae-467d-4f26-842e-a8c00a2581cc · outbound

This paper cites OpenResearcher: Unleashing AI for Accelerated Scientific Research.

AI Scientists Fail Without Strong Implementation Capability OpenResearcher: Unleashing AI for Accelerated Scientific Research

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:07.021150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65160443-072e-4bf0-b947-7d4a503fc407 · outbound

This paper cites DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process.

AI Scientists Fail Without Strong Implementation Capability DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:07.108809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22ce0db0-4cfd-4eba-9b78-1bf14c45e807 · outbound

This paper cites an unresolved cited work.

AI Scientists Fail Without Strong Implementation Capability Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:49:12.017902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9f75f9e0-8ad2-49d0-9c37-ae48a51465cb · outbound

This paper cites 20 AI Scientists Fail Without Strong Implementation Capability.

AI Scientists Fail Without Strong Implementation Capability 20 AI Scientists Fail Without Strong Implementation Capability

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:11.816501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da08517b-7ead-4848-8887-6e2a8692ecee · outbound

This paper cites an unresolved cited work.

AI Scientists Fail Without Strong Implementation Capability Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:49:11.589600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 915f0bc9-9492-486b-b8a0-8002cdd1da20 · outbound

This paper cites an unresolved cited work.

AI Scientists Fail Without Strong Implementation Capability Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:49:11.299542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de53a12d-9fb8-474d-accd-d93fc7eb84f1 · outbound

This paper cites an unresolved cited work.

AI Scientists Fail Without Strong Implementation Capability Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:49:11.107790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fcf12ab1-8867-44de-bf73-2ff2ea178a2e · outbound

This paper cites an unresolved cited work.

AI Scientists Fail Without Strong Implementation Capability Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:49:10.828847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9a5207f-ab4c-4ab9-bb35-e21f6bb3a22d · outbound

This paper cites an unresolved cited work.

AI Scientists Fail Without Strong Implementation Capability Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:49:10.568651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7891ea88-2462-4c41-9c95-90195d0ccbbb · outbound

This paper cites an unresolved cited work.

AI Scientists Fail Without Strong Implementation Capability Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:49:10.280713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d31021fc-58fb-40a7-bf35-a0eb1c798360 · outbound

This paper cites an unresolved cited work.

AI Scientists Fail Without Strong Implementation Capability Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:49:10.030667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a58418a2-43df-4c82-8413-ba25425592fb · outbound

This paper cites an unresolved cited work.

AI Scientists Fail Without Strong Implementation Capability Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:49:09.735966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 25f635d1-381d-415d-9193-43ec5624fd91 · outbound

This paper cites Regarding the statistics for the papers We have conducted a comprehensive search on arXiv to gather relevant publications in the AI Scientist field.

AI Scientists Fail Without Strong Implementation Capability Regarding the statistics for the papers We have conducted a comprehensive search on arXiv to gather relevant publications in the AI Scientist field

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:09.569047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 31bcb75f-f68b-4ef5-a051-1338c4ea2a27 · outbound

This paper cites Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents.

AI Scientists Fail Without Strong Implementation Capability Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents

Reference 1987

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:03.588515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50602bd2-cd08-49dd-99ad-4b24cadfc3b9 · outbound

This paper cites Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents.

AI Scientists Fail Without Strong Implementation Capability Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:03.336587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a0a26d8-9c2c-4f9e-96fc-38ad2251bbf6 · outbound

This paper cites s1: Simple test-time scaling.

AI Scientists Fail Without Strong Implementation Capability s1: Simple test-time scaling

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:04.160309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8702435-4ef3-41b9-805c-cb0e4c488351 · outbound

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

AI Scientists Fail Without Strong Implementation Capability Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:05.903065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c668d9-075d-4330-9d09-355f19274d50 · outbound

This paper cites Scaling Laws for Neural Language Models.

AI Scientists Fail Without Strong Implementation Capability Scaling Laws for Neural Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:03.210248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db1dceec-20e1-46cb-88b5-1ec12348c48d · outbound

This paper cites Genome modeling and design across all domains of life with evo 2.BioRxiv, pages 2025–02,.

AI Scientists Fail Without Strong Implementation Capability Genome modeling and design across all domains of life with evo 2.BioRxiv, pages 2025–02,

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:12.529426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e37c7520-1da2-45ef-b12a-a850c6209bd6 · outbound

This paper cites Muhammad Arslan, Hussam Ghanem, Saba Munawar, and Christophe Cruz.

AI Scientists Fail Without Strong Implementation Capability Muhammad Arslan, Hussam Ghanem, Saba Munawar, and Christophe Cruz

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:12.763454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03c1fc2a-f737-4294-88ae-31b39d749740 · outbound

This paper cites SWE-Bench+: Enhanced Coding Benchmark for LLMs.

AI Scientists Fail Without Strong Implementation Capability SWE-Bench+: Enhanced Coding Benchmark for LLMs

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:00.759281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 97cfaa6a-2bb8-435e-9301-ba03667c0551 · inbound

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation cites this paper.

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation AI Scientists Fail Without Strong Implementation Capability

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:31:27.256386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f88f855f-8dd1-40e0-8d56-2bd040ecf91c · inbound

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility cites this paper.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility AI Scientists Fail Without Strong Implementation Capability

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.063892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 86739275-b7ef-446e-9e91-d13888aeffe3 · inbound

One Run Is Not an Idea: The Implementation Lottery in Automated Research cites this paper.

One Run Is Not an Idea: The Implementation Lottery in Automated Research AI Scientists Fail Without Strong Implementation Capability

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T12:50:06.841591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.