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Paper Citation Record · LEDGER

Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2502.16069.

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

pith.paper-citation-record.v1
2502.16069 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:03.336587Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8ea0a551-f971-4341-868d-08ca2fb8e7eb · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 267

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.212256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:604272ab33af4b1c6672367e3a9d7454eb320ec0a2bf441a60f80f595585b41d

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

AI Scientists Fail Without Strong Implementation Capability cites this paper.

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.

source=pdf_text observed=2026-08-07T11:49:03.336587Z digest=sha256:337a38de56b3a437d067510cca25a3a117fd2d13f9e70d4312ee0c8a38252fb1

Observation d98df72b-c5e6-4668-84d8-12871ca30bad · inbound

RExBench: Can coding agents autonomously implement AI research extensions? cites this paper.

RExBench: Can coding agents autonomously implement AI research extensions? Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:37:08.932464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T07:33:39.675929Z digest=sha256:2dadae1b08953dfc0b5265524b78dc4878c0e7afeca5614b6f0eaf7fdf14a965

Observation 2164c44d-de72-4f60-948b-e025cbeb27fe · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 165

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:35.643232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:35.643232Z digest=sha256:99e67894851a6cc6568210c7f63790cd64f57d2ecb4d172ed83751d0b17e50d7

Observation 529c2130-97bd-4226-9f19-35697b5d8694 · inbound

Structural Enforcement of Statistical Rigor in AI-Driven Discovery: A Functional Architecture cites this paper.

Structural Enforcement of Statistical Rigor in AI-Driven Discovery: A Functional Architecture Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T23:17:30.221490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:17:30.221490Z digest=sha256:e1e63ae549eb857e667b3f10bed5c04109b3d09c63440cecd1144366c6886cf0

Observation 12620987-50f1-442d-b74b-84f6a6b98eb5 · inbound

Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance cites this paper.

Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T09:22:01.925125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:22:01.925125Z digest=sha256:554e7488f66547e68fc52f1a982f15fd9483f3bc71f4b291abeffeb95e4ea2b0

Observation 3126ab16-d2e4-4ca6-943b-fd36564131e3 · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-08T20:04:06.853993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-08T17:28:41.217810Z digest=sha256:986c6ca7001271e3387cec5cd833d039b822e0f9baa273e406206d1d5c345b07

Observation 95d59c56-b419-4989-9781-3cd951cd36e0 · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:13:52.512936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-21T00:13:07.546472Z digest=sha256:11b0d28be685f475163fe361deefb2e78b0842049ea5687138c18482ac1daaa5

Observation a2bb167e-4969-4b61-b0c6-adde0a3558a3 · inbound

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery cites this paper.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:11:23.532070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T03:40:35.629933Z digest=sha256:6afeefbd3c2b17226c88f7288f0420cd2d93054f85799b7af6ba3639cd834145

Observation 9b55ba47-63d8-44a0-baa9-3762a2d948e9 · inbound

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

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T20:03:44.031083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T19:59:40.519962Z digest=sha256:6b17e219854ef0a50a34d4d544623b4e4dffb2b73ab9411c344dbe0d018b88f3

Observation 453451ce-647f-4caa-9bcd-d60cff9a1021 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:33:12.772183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T10:30:50.256635Z digest=sha256:2150a0d8e3a21d2eb13e193e3eac6ca361158d693b437af704111e9cd1729998

Observation 71df8c56-de8e-4b0a-b476-b57abd2d3fce · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-02T13:43:37.024052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:43:37.024052Z digest=sha256:8b1480ffbfad5b03e4eaaa316b4361a9638edbda7e013485272eb70449937555

Observation c69edb3a-abc2-462a-9394-8d023d6e8985 · inbound

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

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:50:21.636509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T04:46:43.679185Z digest=sha256:8f29a4bfaad1e5441b562989616ac13cc5bac82491869f11ac765b4f335fb915

Observation 93e262c1-341e-4048-aa6a-091f22df5f7c · inbound

ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence cites this paper.

ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:23:59.098716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-29T21:19:03.281629Z digest=sha256:0c360c182973f763612758fb3690757baba4962e9602abd2977d2423099420b5

Observation 21ef8b6a-a137-45ef-9113-0e0270a0a1fa · inbound

Simulate, Reason, Decide: Scientific Reasoning with LLMs for Simulation-Driven Decision Making cites this paper.

Simulate, Reason, Decide: Scientific Reasoning with LLMs for Simulation-Driven Decision Making Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:16:47.377651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T06:19:56.406897Z digest=sha256:041b337a9310e7185e6c7535caf0fbf75d40ddd2d5743f1e397b318f11b17dd0

Observation cb95fc53-3145-4730-a973-62cb4ea10107 · inbound

Agentic AutoResearch forSpace Autonomy: An Auditable, LLM-Driven Research Agent for Aerospace Control Problems cites this paper.

Agentic AutoResearch forSpace Autonomy: An Auditable, LLM-Driven Research Agent for Aerospace Control Problems Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:32.702393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T17:29:59.914576Z digest=sha256:2f7c6252bc0749c9d1c1aad164a9138f31eaf79718c478c1baed14a89bf22bd1

Observation a17570f3-d27a-4ef4-894a-7d79718cf68c · inbound

Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review cites this paper.

Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T00:54:35.499762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:54:35.499762Z digest=sha256:08aa8473d6af292f4d45cfb2341a2f6ef5cc6f6134d9fbe616c40bf99bd6e77f