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Paper Citation Record · LEDGER

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks

As of 23 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.02595.

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

pith.paper-citation-record.v1
2608.02595 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T03:27:37.066709Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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  • malformed identifier1
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External citation measurements

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Outbound references

Observation f6c98c44-8b48-4898-a86f-c026d54a39c8 · outbound

This paper cites What can large language models do in chemistry? a comprehensive benchmark on eight tasks.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks What can large language models do in chemistry? a comprehensive benchmark on eight tasks

Reference 1

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Observation b98b553f-5ed5-4dfa-ae5a-8068e922be8b · outbound

This paper cites A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists

Reference 2

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Observation 86785e8e-5797-4f81-b84e-559036d12f6c · outbound

This paper cites Assessing the Chemical In- telligence of Large Language Models.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Assessing the Chemical In- telligence of Large Language Models

Reference 3

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Observation 3e8635d0-b1c1-4068-bea9-a3c9e19d3f72 · outbound

This paper cites Autonomous chemical research with large language models.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Autonomous chemical research with large language models

Reference 4

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Observation a6d85012-1350-47c0-b8af-7927b62ea1a8 · outbound

This paper cites Augmenting large language models with chemistry tools.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Augmenting large language models with chemistry tools

Reference 5

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Observation 213dfc93-5411-4f62-893b-460fa6ac37fe · outbound

This paper cites Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design

Reference 6

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Observation df003004-3088-470f-83d1-492daed173a1 · outbound

This paper cites LAB-Bench: Measuring Capabilities of Language Models for Biology Research.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks LAB-Bench: Measuring Capabilities of Language Models for Biology Research

Reference 7

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Observation a82a255c-514b-4bd4-b98f-6bd7c3e06a18 · outbound

This paper cites Towards end-to-end automation of AI research.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Towards end-to-end automation of AI research

Reference 8

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Observation f0421e30-b247-40f4-8dff-4e42936d0d8a · outbound

This paper cites Dual use of artificial-intelligence-powered drug discovery.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Dual use of artificial-intelligence-powered drug discovery

Reference 9

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Observation 8a6e282f-c5e9-493b-b647-a810e9a24c92 · outbound

This paper cites ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain

Reference 10

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Observation 290a3679-2448-40e2-8d2b-9ba7732eccf3 · outbound

This paper cites Predicting reaction performance in C–N cross-coupling using machine learning.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Predicting reaction performance in C–N cross-coupling using machine learning

Reference 11

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Observation cf652f89-fefe-44fd-8f33-244a3d7d247e · outbound

This paper cites Using Machine Learning To Predict Suitable Conditions for Organic Reactions.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Using Machine Learning To Predict Suitable Conditions for Organic Reactions

Reference 12

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Observation 5d0bb342-3233-4392-8b63-0cf565f8da61 · outbound

This paper cites SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules

Reference 13

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Observation 838ccb87-01e6-4789-9d4f-890f6ad2b488 · outbound

This paper cites Fast Calculation of Molecular Polar Surface Area as a Sum of Fragment-Based Contributions and Its Application to the Prediction of Drug Transport Properties.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Fast Calculation of Molecular Polar Surface Area as a Sum of Fragment-Based Contributions and Its Application to the Prediction of Drug Transport Properties

Reference 14

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Observation 11dbd9ec-98a9-4fc8-b86e-5211aac7dfd4 · outbound

This paper cites Prediction of Physicochemical Parameters by Atomic Contributions.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Prediction of Physicochemical Parameters by Atomic Contributions

Reference 15

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Observation 99f0dce2-244a-4810-91f0-9160836acb1b · outbound

This paper cites an unresolved cited work.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Unresolved cited work

Reference 16

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Observation 3aeea6e3-4771-40f1-86d8-586c547820cf · outbound

This paper cites Daylight Theory Manual.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Daylight Theory Manual

Reference 17

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Observation 5c6b5a03-bd03-4edc-b1cd-8bc2c888211d · outbound

This paper cites ChEMBL: towards direct deposition of bioassay data.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks ChEMBL: towards direct deposition of bioassay data

Reference 18

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Observation 2b117085-4ffe-4029-8484-adfb3e047b17 · outbound

This paper cites Approved 11 September 2025; in force 1 January 2026.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Approved 11 September 2025; in force 1 January 2026

Reference 19

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Observation 34ef6923-e52a-4964-8f0d-ffeeb7cd2f6f · outbound

This paper cites Controlled Substances Act schedules I–V.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Controlled Substances Act schedules I–V

Reference 20

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Observation 3eaebdb9-5a32-4e6e-a376-9115a4e3e00a · outbound

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onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Entered into force 29 April 1997

Reference 21

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Observation 190f6d77-a2f1-421e-a358-4cc3cc4ca0e6 · outbound

This paper cites Entered into force 17 May 2004; annexes amended by subsequent Conference of the Parties decisions.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Entered into force 17 May 2004; annexes amended by subsequent Conference of the Parties decisions

Reference 22

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Observation a2bbc13f-da8e-4419-a6aa-fbe702f0c3f1 · outbound

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onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Unresolved cited work

Reference 23

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Observation 39b60cab-d998-4364-852e-70e3194276b2 · outbound

This paper cites [Online; accessed 28-July-2026].

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks [Online; accessed 28-July-2026]

Reference 24

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Observation 86b8eb83-91e9-4622-b6a1-94dcd5b07052 · outbound

This paper cites an unresolved cited work.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Unresolved cited work

Reference 25

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Observation ffb6c032-07dc-4acc-af01-e3dee9508a9b · outbound

This paper cites Amide bond formation and peptide coupling.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Amide bond formation and peptide coupling

Reference 26

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Observation 4f5630dc-2c24-4853-b690-75a3442bd4bb · outbound

This paper cites A Simple Catalytic Method for the Conversion of Aryl Bromides to Arylamines.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks A Simple Catalytic Method for the Conversion of Aryl Bromides to Arylamines

Reference 27

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Observation d3598a74-6b7d-4cc1-95c0-6c72ccd70c5c · outbound

This paper cites Palladium-catalyzed synthesis of arylamines from aryl halides. Mechanistic studies lead to coupling in the absence of tin reagents.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Palladium-catalyzed synthesis of arylamines from aryl halides. Mechanistic studies lead to coupling in the absence of tin reagents

Reference 28

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Observation 32107eca-2d46-435f-80da-63b531088873 · outbound

This paper cites New N- and O-arylations with phenylboronic acids and cupric acetate.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks New N- and O-arylations with phenylboronic acids and cupric acetate

Reference 29

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Observation cb59ea6e-232b-4930-9c9f-fa95450d3df2 · outbound

This paper cites New aryl/heteroaryl C-N bond cross-coupling reactions via aryl- boronic acid/cupric acetate arylation.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks New aryl/heteroaryl C-N bond cross-coupling reactions via aryl- boronic acid/cupric acetate arylation

Reference 30

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Observation 8955c6db-d894-44c5-9a7b-500447a2bc7a · outbound

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onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Synthesis of secondary amines

Reference 31

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Observation 599876ca-0402-44d5-b9c2-a342ea2fca1f · outbound

This paper cites A new stereospecific cross-coupling by the palladium-catalyzed reaction of 1-alkenylboranes with 1-alkenyl or 1-alkynyl halides.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks A new stereospecific cross-coupling by the palladium-catalyzed reaction of 1-alkenylboranes with 1-alkenyl or 1-alkynyl halides

Reference 32

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Observation fb3ee1f3-0602-40fb-b867-eebe1ed6a91c · outbound

This paper cites Recent advances in urea- and thiourea-containing compounds: focus on innovative approaches in medicinal chemistry and organic synthesis.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Recent advances in urea- and thiourea-containing compounds: focus on innovative approaches in medicinal chemistry and organic synthesis

Reference 33

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Observation 74d7796e-2288-4a52-a6b8-64ad50f9731d · outbound

This paper cites Urea Derivatives in Modern Drug Discovery and Medicinal Chemistry.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Urea Derivatives in Modern Drug Discovery and Medicinal Chemistry

Reference 34

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Observation 234a3607-c828-401d-8583-0889b9506e81 · outbound

This paper cites Van Leusen, Jurjen Wildeman, and Otto H.

onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Van Leusen, Jurjen Wildeman, and Otto H

Reference 35

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Observation 42a35ae6-8be8-4b8e-8c4b-05e76c8545c4 · outbound

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onepot-Bench 0: towards lab-aware in silico chemistry benchmarks Comment on “Predicting reaction perfor- mance in C–N cross-coupling using machine learning

Reference 36

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Pith citing papers

No inbound Pith citation observations are available.