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Paper Citation Record · LEDGER

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules

As of 6 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2605.22287.

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

pith.paper-citation-record.v1
2605.22287 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T05:27:01.285624Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

58 of 58 outbound references displayed

  • verified exact24
  • verified fuzzy31
  • unresolved1
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac3a9c4d-eaa0-4672-b327-bbb44c4fb73a · outbound

This paper cites ChemBERTa-2: Towards Chemical Foundation Models.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules ChemBERTa-2: Towards Chemical Foundation Models

Reference 1

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verified exact
arxiv_id, observed 2026-05-22T05:31:07.765507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5ba7546b-3d5f-43cc-bcce-739b1acb6739 · outbound

This paper cites Intern-s1: A scientific multimodal foundation model.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Intern-s1: A scientific multimodal foundation model

Reference 2

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verified exact
arxiv_id, observed 2026-05-22T05:31:07.791123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 089d2812-eecf-4633-b437-e8da81cf6380 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 36d9fd2f-bb0b-4620-aa73-316128dbb470 · outbound

This paper cites Boiko, Robert MacKnight, and Gabe Gomes.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Boiko, Robert MacKnight, and Gabe Gomes

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.220862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:de36b9e9f8472c46ea2ce84076b5e7d509f10863f0253eafd2e89b12472f643c

Observation d1f3c5bd-e779-46d8-a621-c52a570d2a94 · outbound

This paper cites Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.217260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:59f3630b4c9fcc3d6eb60c7077cdd17f617df0564d94bbe29a01d6f1cf8896f7

Observation 80927ab1-6dd9-46d6-af55-0067e589f9b4 · outbound

This paper cites ChemCrow: Augmenting large-language models with chemistry tools.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules ChemCrow: Augmenting large-language models with chemistry tools

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-22T05:31:07.781036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:a38d384cdde7b05526c9f5b4e0f3b66f4907d4ab28c5fc15ec7f80ff9c252a42

Observation afdac4ad-fee7-4fe2-94f0-24b0d4cfff9e · outbound

This paper cites LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.863693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:89f088fc597089cf8824393a051e697dcb3047e9d5ec390ea295b5f344f44136

Observation 082c2c8a-7d5b-4442-9de7-443bdd22740d · outbound

This paper cites A simple framework for contrastive learning of visual representations.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules A simple framework for contrastive learning of visual representations

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.213747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:f6a5661f374f1b8dbef3fa7f1eeb6dc4ca3344067f417949fcb51d42f9758268

Observation 7b0e76d5-cf8c-40a9-afd9-ecfef0f5ce9e · outbound

This paper cites Translation between Molecules and Natural Language.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Translation between Molecules and Natural Language

Reference 9

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verified exact
arxiv_id, observed 2026-05-22T05:31:07.759873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:51591daf9b8877923742f876b48f9666e9b41fea64552415a006a5952153e67f

Observation 92b72128-3104-4b70-8351-a70fc9f60f3b · outbound

This paper cites Grzybowski, Ying Diao, Jiawei Han, Ge Liu, Hao Peng, Martin D.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Grzybowski, Ying Diao, Jiawei Han, Ge Liu, Hao Peng, Martin D

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.832936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:064ca2544e26dfe673aebd58196836ec401fc6a5ea0f31205a2693bba913a6ba

Observation 34bf61a8-4abe-4ba4-acfa-49185f2aff6e · outbound

This paper cites Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.879738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:91cc952ffe84822a0960fafd6cafd19961a8631881d61fe219c3f936728f5aad

Observation c8b6c0cf-031d-43a4-a569-3ee99a5370ca · outbound

This paper cites Measuring Massive Multitask Language Understanding.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Measuring Massive Multitask Language Understanding

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-22T05:31:07.776020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:49799f745cec8a3a8c82decb50d8211f6e368bef57dc5855377eeb6109ca8c68

Observation 48447c9b-7ef2-408a-be0d-5769a33c7535 · outbound

This paper cites Denoising diffusion probabilistic models.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Denoising diffusion probabilistic models

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.209880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:5b9dfcc5b66f247c42052f520a9822e6002ab49dcc3bc60ffb514b95793fddbb

Observation 82b20c52-aadc-4079-9c68-11dcd9310953 · outbound

This paper cites Equivariant diffusion for molecule generation in 3d.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Equivariant diffusion for molecule generation in 3d

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.205649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:15d4d2ef471e79cf8d5e40f082bdd80ce22b9cfc870aaa2faf3633280ba6b924

Observation b29b4ab2-92eb-4a8a-a00d-3f9e862c4289 · outbound

This paper cites GPT-4o System Card.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules GPT-4o System Card

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-22T05:31:07.812292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:0cf3d7359dd82c2ed2e07028498e7d10b2180497c45b456f96ac8c966705eefb

Observation fbd1c819-b35c-4129-b54b-2eeeecdbead8 · outbound

This paper cites Chemformer: A pre-trained transformer for computational chemistry.Machine Learning: Science and Technology, 3(1):015022.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Chemformer: A pre-trained transformer for computational chemistry.Machine Learning: Science and Technology, 3(1):015022

Reference 17

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verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.202248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:145e5d28ec7531ebe658885aae011690d2f01cc65c188ad8778ea3739ad9bec2

Observation 3608cd4c-fc1d-49e8-acc6-e0f0c7b7564c · outbound

This paper cites Cumulated gain- based evaluation of ir techniques.ACM Transactions on Information Systems (TOIS), 20(4):422–446.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Cumulated gain- based evaluation of ir techniques.ACM Transactions on Information Systems (TOIS), 20(4):422–446

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:99e5a6976938f97edfdafeeaff2121a8ea0dd6f29c41ade72839092f95ccc2fe

Observation 425cb60f-905d-40a0-bbe4-f5e6d7501a89 · outbound

This paper cites Junction tree variational autoencoder for molecular graph generation.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Junction tree variational autoencoder for molecular graph generation

Reference 19

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verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.191395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation ea1a3e79-d4fa-48f4-9f9c-ad093b977b3f · outbound

This paper cites an unresolved cited work.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Unresolved cited work

Reference 20

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unresolved
raw_fallback, observed 2026-05-22T05:36:08.187640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:d7388bc406c4d2546958977eb692b04d0575330e00000deb398f2e1bb43bf911

Observation aedf0b22-490a-4bc6-b8ab-71937311c733 · outbound

This paper cites The open reaction database.Journal of the American Chemical Society, 143(45):18820–18826.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules The open reaction database.Journal of the American Chemical Society, 143(45):18820–18826

Reference 21

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verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.183570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:7ece7d55662461b9f19182f64f4db844aa1c3dec5596d02a1211f7a0c11440a9

Observation 2ee41c60-06a0-4971-835a-e70307b79dda · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Semi-Supervised Classification with Graph Convolutional Networks

Reference 22

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local_arxiv, observed 2026-05-22T05:31:07.785844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:3349a909d550bfa1cf0e6439ae7d4d63fa01b2467644f79e670fd973995319d6

Observation ece5e4a1-609a-45ff-be9c-502315d5d765 · outbound

This paper cites Directional message passing for molecular graphs.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Directional message passing for molecular graphs

Reference 23

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verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.179691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:76873e2f6833adcd3fd214a686cda8cb09df6859175f75b87a92aa76e6d94dfc

Observation a19cf3fc-2f4b-4847-af4d-4ac85448e540 · outbound

This paper cites SELFIES and the future of molecular string representations.Patterns, 1(9):100099.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules SELFIES and the future of molecular string representations.Patterns, 1(9):100099

Reference 24

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verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.175885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:6c636a935e5f0185e3af053ce1de532ac0f12da94fc7ebfd4b32ac5ec374da4c

Observation 95a222e9-11dc-4f87-b41d-bfb1862be516 · outbound

This paper cites Rdkit documentation.Release, 1(1-79): 4.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Rdkit documentation.Release, 1(1-79): 4

Reference 25

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verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.172155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:369fd386090c76dd48d884a4f82f1daf5f0a5b8638fc44e1cbc5efcda0daad34

Observation d3c6bbd6-b7aa-4ec4-be88-c2b11f8cf716 · outbound

This paper cites Towards 3D Molecule-Text Interpretation in Language Models.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Towards 3D Molecule-Text Interpretation in Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.802463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:375a3c1d8aed21da9f68398964e1461761ef960350fe5862feec6d5f048e521d

Observation 173bf016-16b7-4b1d-aa6a-2e86e9be0168 · outbound

This paper cites Drugr: Optimizing molecular drugs through llm-based explicit reasoning.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Drugr: Optimizing molecular drugs through llm-based explicit reasoning

Reference 27

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verified exact
arxiv_id, observed 2026-05-22T05:31:07.817704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:d27d5be69a77d77579e3e0b23cff6823befebbf818063452715e8a87c277654a

Observation 702fa8fc-25d5-432a-a30b-cec1bdc635c9 · outbound

This paper cites GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.807686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:e6eda06b9e600213137ea8208ee2844278a35a064875f8ce6c4b7c0544ad6384

Observation 7123abbd-12d5-42ca-884c-ac8100984a26 · outbound

This paper cites Multi-modal molecule structure– text model for text-based retrieval and editing.Nature Machine Intelligence, 5(12):1447–1457.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Multi-modal molecule structure– text model for text-based retrieval and editing.Nature Machine Intelligence, 5(12):1447–1457

Reference 29

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raw_fallback, observed 2026-05-22T05:36:08.168513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:8f2ba4380be222dda9f937799766425b4a9690db92782d22c76a5488be6b7020

Observation 653bf637-c890-4907-b46c-1d3e005167e8 · outbound

This paper cites Molca: Molecular graph-language modeling with cross-modal projector and uni-modal adapter.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Molca: Molecular graph-language modeling with cross-modal projector and uni-modal adapter

Reference 30

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verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.164375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:23815e3fe8d76d3cd6c9e1be6bb825fed760772ec100c70002d2629a1904ea9b

Observation f41b15f0-9039-4292-8854-2b99ba3c0ade · outbound

This paper cites MolFM: A Multimodal Molecular Foundation Model.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules MolFM: A Multimodal Molecular Foundation Model

Reference 31

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verified exact
arxiv_id, observed 2026-05-22T05:31:07.838008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:bd8d31595c950f225c7c2b4eebb1afdfdf287f7b903e0d9d7e6efa4b6d852cfe

Observation 1e4e8540-26c2-4f65-93da-a95177be6b0b · outbound

This paper cites A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists.Nature Chemistry, 17:1027–1034, 13.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists.Nature Chemistry, 17:1027–1034, 13

Reference 32

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raw_fallback, observed 2026-05-22T05:36:08.160453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:ef1b5aeaf2f8ac8b354c067e6804ac1107d504ec842049e5868cc1c5c63aacaf

Observation e0a40adb-8092-4c84-84bf-ced421a890ac · outbound

This paper cites Elbeheiry, María Victoria Gil, Christina Glaubitz, Maximilian Greiner, Caroline T.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Elbeheiry, María Victoria Gil, Christina Glaubitz, Maximilian Greiner, Caroline T

Reference 33

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doi, observed 2026-05-22T05:31:06.899559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:c3dc7c1cd5b099847373da0f58f38bc073e8395f779d3f11a409c2b0651520bd

Observation de377430-84f0-43ed-bf29-f2a987f6777b · outbound

This paper cites Nemotron-cc: Transforming common crawl into a refined long-horizon pretraining dataset.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Nemotron-cc: Transforming common crawl into a refined long-horizon pretraining dataset

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.198528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:9e28dfe36fecae2add1a77f57afb485cf3011f2a07b747eabdf01aec9866eec1

Observation 923e2be9-401a-4b7b-9e5d-bab99b880e7e · outbound

This paper cites SMolInstruct.https: //huggingface.co/datasets/osunlp/ SMolInstruct.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules SMolInstruct.https: //huggingface.co/datasets/osunlp/ SMolInstruct

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.228494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:40f209c77ad24f0fd298ee5a23aa96bedcf33172f6354378adc19c41c72115ee

Observation 5068cb61-0606-4da4-acc8-a079d61e3de7 · outbound

This paper cites Scalable diffusion models with transformers.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Scalable diffusion models with transformers

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.156477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:688f7984ef9f447225ffd12f5a0aaf3db1aef2f267fe8ea60e51eaffa573ac11

Observation 4b9be630-128a-4dc0-9023-77dc7189bf7c · outbound

This paper cites BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.885805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:d3404672f8605d0e3e4392378045fb037944797574c338ed0570312c2f7dbb72

Observation 89eacde4-be36-43bf-bb7f-44aa505c8233 · outbound

This paper cites E(n) equivariant graph neural networks.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules E(n) equivariant graph neural networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.152599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:da8aafe5162446f17cc59f9a7aca461ff8284643dcf6520bae27d9bbd6da5adb

Observation 45a830f4-9012-4f05-a022-bf874a12f4d3 · outbound

This paper cites Sch ¨utt, Huziel E.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Sch ¨utt, Huziel E

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.149145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:b8906c0ce423c37f0b575fdaf42c7fbabdbe96ff446095ea74fc8c3b4aa78b52

Observation f3eb3aad-e012-46d7-9f1b-300f6ca15c36 · outbound

This paper cites Sch ¨utt, Oliver T.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Sch ¨utt, Oliver T

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.145549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:c5e0ca5e499cee97befb656434e914f92bd90445593a045541f9d0b4d0abe3e3

Observation b1b24508-9640-4904-9e8f-7a668c206835 · outbound

This paper cites OpenAI GPT-5 System Card.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules OpenAI GPT-5 System Card

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-22T05:31:07.795979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:29b63afa6235e1aade9669fda6a69bb89cd17efc15cc16ca92779aa556c0558b

Observation f0346bf3-5422-45c1-9800-b6e5686506e6 · outbound

This paper cites ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.822682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:863b2be1d8f30d8b9363a11abf49fecce15da7583753971ace9695014b512733

Observation a7a1486f-4d86-4532-b67b-099a27b4208c · outbound

This paper cites MatterChat: A Multi-Modal LLM for Material Science.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules MatterChat: A Multi-Modal LLM for Material Science

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.770876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:865fe588f7a4412c35ca15045f7842154b9e79f97d97c3d3512ee236b7c0d84b

Observation f511ae46-ba9c-4315-9959-17e27c492632 · outbound

This paper cites Galactica: A Large Language Model for Science.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Galactica: A Large Language Model for Science

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-22T05:31:07.849204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:940f9fbf0156c5699998d6c3ae5fee05b7d93ff4fd4f163e87db4c4ad5024088

Observation 75d1ba9e-975c-41af-a966-7972408e321c · outbound

This paper cites DiGress: Discrete denoising diffusion for graph generation.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules DiGress: Discrete denoising diffusion for graph generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.141746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:5e34b8d229c471afbfa1e86851fc2f7ae18057f58ccd25d9647e403c75ea5355

Observation d2b39101-57e9-406a-b13b-92cf833666a5 · outbound

This paper cites MiDi: Mixed graph and 3d denoising diffusion for molecule generation.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules MiDi: Mixed graph and 3d denoising diffusion for molecule generation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.138107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:539dbb4f176932dd92e02b6dad00b9b31aec110c447d369652f3a274322d77bf

Observation e005b958-4ecd-49d1-b735-2699810852ae · outbound

This paper cites SMILES-BERT: Large scale unsupervised pre- training for molecular property prediction.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules SMILES-BERT: Large scale unsupervised pre- training for molecular property prediction

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.134227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:b504e3c4a6956735558dd72ddbb2124614fabb7406c373287783db5f6598d7f9

Observation dc893db7-2b29-4958-921e-4d8291eb291b · outbound

This paper cites Molecular contrastive learning of representations via graph neural networks.Nature Machine Intelligence, 4(3):279–287.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Molecular contrastive learning of representations via graph neural networks.Nature Machine Intelligence, 4(3):279–287

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.130861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:48c3984378fa41246f685e11e1b0f67ec354a55bb1d0bbacc28b8ec3cf12393e

Observation 254a2c8f-b382-4d95-8569-cb35d0f65bde · outbound

This paper cites Moleculenet: a benchmark for molecular machine learning.Chemical science, 9(2):513–530.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Moleculenet: a benchmark for molecular machine learning.Chemical science, 9(2):513–530

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.127426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:92043692483fbc26353b2a86844b7338500fbbd4f64610d3a7995b2041c664c3

Observation ba8b15d2-161c-451a-a6b9-4e531f585fc5 · outbound

This paper cites How Powerful are Graph Neural Networks?.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules How Powerful are Graph Neural Networks?

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-22T05:31:07.827482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:23f82675cf676588a41346685b58ec824a1db1155cbf425ecf87ef5621138f61

Observation 7aff716f-69b2-4c82-982c-cf800368dfc3 · outbound

This paper cites GeoDiff: A geometric diffusion model for molecular conformation generation.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules GeoDiff: A geometric diffusion model for molecular conformation generation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.124003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:63f83e107ac4d4fddbdd27050d619a335e42e0d101e9ed6e644e3d846254edf3

Observation b619844c-f5cc-464a-b4a2-cd532d82bfec · outbound

This paper cites Geometric latent diffusion models for 3d molecule generation.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Geometric latent diffusion models for 3d molecule generation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.120607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:f6b069656217a41e5c8498b4684d216f6da65f6874b0b201485711da5d30ab29

Observation 5d810aa7-6f1d-40ff-8ecc-09e2b30ad857 · outbound

This paper cites Qwen3 Technical Report.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Qwen3 Technical Report

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-05-22T05:31:07.854660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:96c7f8f327784b7230a9a495c9ff8003c66ba569fb060eb82fa7da5c07862808

Observation 716ac10c-b350-4dfc-8a46-37894f2a4452 · outbound

This paper cites Do transformers really perform bad for graph representation? In Advances in Neural Information Processing Systems.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Do transformers really perform bad for graph representation? In Advances in Neural Information Processing Systems

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.116900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:cdeadbeadef2a230d63e47f10719d69b29fabe53d0d5b9641d9a60a1567778b0

Observation 977f64a8-e181-4990-b792-717500bfc08b · outbound

This paper cites LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.869431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:c4def3e10407021d3daa879b3308dc9be4a2081aa826e8f9ae65954ad8f39cf9

Observation 3b5baa3a-085b-4c7f-973b-7886b2bacaff · outbound

This paper cites MoFlow: An invertible flow model for generating molecular graphs.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules MoFlow: An invertible flow model for generating molecular graphs

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.113640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:bd02921d5b094dbff13163e7d8b786d1a0734bab0ba13a1a2032a9741ab43977

Observation d9585885-fa89-4116-a98a-8f6672692339 · outbound

This paper cites ChatMol: Interactive molecular discovery with natural language.Bioinformatics, 40(9): btae534.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules ChatMol: Interactive molecular discovery with natural language.Bioinformatics, 40(9): btae534

Reference 59

Resolution
verified exact
doi, observed 2026-05-22T05:31:06.895167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:e21b8125ffdc923d80fa03d303585af663dd24cb10309318b0a4e991d07c8418

Observation 5e9b08b3-afae-4067-9ee1-819f0aedcded · outbound

This paper cites ChemLLM: A Chemical Large Language Model.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules ChemLLM: A Chemical Large Language Model

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.843928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:d0c7cfeebf545906fd5e23ff627fcf442004184ceb81711d471936ec552f736c

Observation fb49b8e3-51fc-4303-bfc1-10bf767d68fc · outbound

This paper cites Uni-Mol: A universal 3d molecular representation learning framework.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Uni-Mol: A universal 3d molecular representation learning framework

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T05:36:08.109991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:f47dd43ef5cfe52d67b257013d8c931423a9a89226fcf2290552bc57be75b350

Pith citing papers

No inbound Pith citation observations are available.