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Paper Citation Record · LEDGER

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2604.12350.

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

pith.paper-citation-record.v1
2604.12350 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation e7354bb0-3b6e-412c-8f93-c808962b6074 · outbound

This paper cites GPT-4 Technical Report.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models GPT-4 Technical Report

Reference 1

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Observation 6437f946-3d05-4c1e-ae67-9fa588c8bf17 · outbound

This paper cites Viraj Bagal, Rishal Aggarwal, P.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Viraj Bagal, Rishal Aggarwal, P

Reference 2

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Observation 6bdf3b57-b6fa-4ef9-baec-1207966bda24 · outbound

This paper cites Bagal, R.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Bagal, R

Reference 3

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Observation 9e59b26b-1a91-4cd0-bdb1-a4d06e4331ea · outbound

This paper cites Augmenting large language models with chemistry tools.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Augmenting large language models with chemistry tools

Reference 4

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Observation a0943a1d-7ff2-46f7-9e8a-829b23266c33 · outbound

This paper cites doi: https://doi.org/10.1016/j.ymeth.2014.08.005.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models doi: https://doi.org/10.1016/j.ymeth.2014.08.005

Reference 5

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Observation 8e8a9e80-d425-400c-b83c-3dbedfb8970c · outbound

This paper cites Bickerton, G.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Bickerton, G

Reference 6

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Observation 157b4ba9-c470-48ff-be5d-a227afe3332b · outbound

This paper cites The Llama 3 Herd of Models.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models The Llama 3 Herd of Models

Reference 7

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Observation 8fe83318-7e8a-49f1-a166-0effaf5d8e48 · outbound

This paper cites Wenhao Gao, Tianfan Fu, Jimeng Sun, and Connor Coley.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Wenhao Gao, Tianfan Fu, Jimeng Sun, and Connor Coley

Reference 8

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Observation 2f1f8b83-5928-4f74-afd7-381aff19d51f · outbound

This paper cites Gómez-Bombarelli, J.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Gómez-Bombarelli, J

Reference 9

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Observation 2d927ebc-a63a-406b-afe1-4a7b51ef7b8b · outbound

This paper cites Chemformer: A pre- trained transformer for computational chemistry.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Chemformer: A pre- trained transformer for computational chemistry

Reference 10

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models title =

Reference 11

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Observation 652d2a65-1f94-4471-b565-e1286afc1db9 · outbound

This paper cites Mistral 7B.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Mistral 7B

Reference 12

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Observation 59af848b-1684-4198-81c4-54d42f89fce8 · outbound

This paper cites Self-Referencing Embedded Strings (SELFIES): A 100% Robust Molecular String Representation.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Self-Referencing Embedded Strings (SELFIES): A 100% Robust Molecular String Representation

Reference 13

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This paper cites Peiyao Li, Lan Hua, Zhechao Ma, Wenbo Hu, Ye Liu, and Jun Zhu.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Peiyao Li, Lan Hua, Zhechao Ma, Wenbo Hu, Ye Liu, and Jun Zhu

Reference 14

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This paper cites doi: 10.1021/acs.jcim.4c01139.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models doi: 10.1021/acs.jcim.4c01139

Reference 15

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This paper cites doi: https://doi.org/10.1016/j.sbi.2023.102537.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models doi: https://doi.org/10.1016/j.sbi.2023.102537

Reference 16

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Observation af94bb4b-081b-4902-832a-b581591cb553 · outbound

This paper cites doi: 10.1021/jm1013693.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models doi: 10.1021/jm1013693

Reference 17

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This paper cites URLhttps://doi.org/10.1186/s13321-017-0235-x.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models URLhttps://doi.org/10.1186/s13321-017-0235-x

Reference 18

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This paper cites doi: 10.1021/acscentsci.3c00572.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models doi: 10.1021/acscentsci.3c00572

Reference 19

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 20

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Communications Materials , year =

Reference 21

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This paper cites URL https: //doi.org/10.1021/acs.jcim.5b00559.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models URL https: //doi.org/10.1021/acs.jcim.5b00559

Reference 22

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This paper cites URLhttp://dx.doi.org/10.1039/CS9790800563.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models URLhttp://dx.doi.org/10.1039/CS9790800563

Reference 23

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models doi: 10.1038/s42256-022-00447-x

Reference 24

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Weininger

Reference 25

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Unresolved cited work

Reference 26

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This paper cites URLhttps://doi.org/10.3390/ijms26104878.

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models URLhttps://doi.org/10.3390/ijms26104878

Reference 27

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models ChemLLM: A Chemical Large Language Model

Reference 28

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models doi: 10.1145/3715318

Reference 29

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models doi: https://doi.org/10.1002/qub2.30

Reference 30

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Observation f6f6dd2d-e98e-4d06-9881-ea974452e7b9 · outbound

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Unresolved cited work

Reference 31

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models higher is better

Reference 32

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Observation 774bbf91-de11-4032-bf3d-d3ca9375d6a9 · outbound

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Reference 33

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Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models better" and

Reference 34

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raw_fallback, observed 2026-05-17T18:25:05.686600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:50:42.170423Z digest=sha256:176a1c06e09d5420b5fcaba80dabd4387583c5e63dfde2c6bcfb55297ca57c76

Pith citing papers

No inbound Pith citation observations are available.