Paper Citation Record · LEDGER

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2309.02726.

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

pith.paper-citation-record.v1
2309.02726 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:58:21.044920Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:43.440127Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c9125a4f-d4b5-4e60-bba5-e0b386f19d13 · inbound

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

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 109

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:42:32.097468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 329762dc-fbbf-4112-a554-84a1eb86dd4b · inbound

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 194

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:23.614530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259a37f0-094f-4dca-9673-c6599b5787b1 · inbound

On the Role of Model Prior in Real-World Inductive Reasoning cites this paper.

On the Role of Model Prior in Real-World Inductive Reasoning Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:01.603399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35cad3b2-7732-4781-9cae-6fbf725a0a92 · inbound

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

Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:57.211868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 509c5a05-cbc5-4a57-9d6e-e6d9f57ccac1 · inbound

AI Idea Bench 2025: AI Research Idea Generation Benchmark cites this paper.

AI Idea Bench 2025: AI Research Idea Generation Benchmark Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.044920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81cfb91d-3bda-4f2e-8046-845ed764424d · inbound

Towards Automated Scoping of AI for Social Good Projects cites this paper.

Towards Automated Scoping of AI for Social Good Projects Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:21.069249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e70e157-9aa8-4ec4-b28c-41523ad2fecb · inbound

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

Spark: A System for Scientifically Creative Idea Generation Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:14:50.424085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c6eccbb-a1d3-4714-90b9-410fb14a00ab · inbound

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions cites this paper.

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T23:45:43.559771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac650f2b-899c-4d49-a0ba-9dcbdf241ec6 · inbound

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models cites this paper.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.300728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fb2e8a8-951b-43ec-919c-4261fd134151 · inbound

InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification cites this paper.

InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:37.438336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85cd80b3-c692-491e-aa1f-7f008841dfc3 · inbound

Harnessing Large Language Models for Scientific Novelty Detection cites this paper.

Harnessing Large Language Models for Scientific Novelty Detection Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:14.533610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b08b640b-8ed6-40b7-b74d-227664800a37 · inbound

EXP-Bench: Can AI Conduct AI Research Experiments? cites this paper.

EXP-Bench: Can AI Conduct AI Research Experiments? Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-07T12:20:48.644954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c07242ec-f284-474b-bfe2-cd91b620d38e · inbound

Smotrom tvoja pa ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study cites this paper.

Smotrom tvoja pa ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:35.592330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6930e9a7-e5e6-45d1-934c-2717e0f08367 · inbound

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? cites this paper.

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:49.346260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 403ef7dd-3617-46af-a8a4-dac0cfcc14c5 · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:58:58.793735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89c97a68-bf83-41f0-9085-01e7a0065c2f · inbound

RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models cites this paper.

RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T08:39:44.933593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e59c4de4-408b-49ec-82f4-bf2a70a4fddb · inbound

Unlocking LLM Creativity in Science through Analogical Reasoning cites this paper.

Unlocking LLM Creativity in Science through Analogical Reasoning Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:57:05.594053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2185a596-76b6-4500-ac01-78015ac13c5e · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:36.898472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8edc1e13-d7fd-4612-ab9a-904de4729753 · inbound

PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement cites this paper.

PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.442220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.