Paper Citation Record · LEDGER

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization

As of 10 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 3 inbound Pith citation observations for arXiv:2502.02810.

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

pith.paper-citation-record.v1
2502.02810 v2

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:06:14.499960Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:17:59.635636Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:06:57.898736Z

Reference resolution

73 of 73 outbound references displayed

verified exact1
verified fuzzy32
unresolved40
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c812ad5c-14c9-4a58-b561-c528c5d25eac · outbound

This paper cites an unresolved cited work.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:06:30.192701Z

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Observation b457b287-495e-4961-96bb-535ae03c15a2 · outbound

This paper cites GPT-4 Technical Report.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.248353Z

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Observation c9d3eb24-90fa-473b-a5bd-330056a176e1 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Gemini: A Family of Highly Capable Multimodal Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.252106Z

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Observation d53a66f6-8a27-4d76-8154-f9b27ba805d8 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 4

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Observation 70fc2a4e-babe-4934-9213-090aefdaf294 · outbound

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

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset

Reference 5

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Observation e0bc22e4-5da8-4fa9-83d6-2e71041f337b · outbound

This paper cites BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.263972Z

Source-reported events for the cited work

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Observation 5bc13f4d-9167-42aa-998a-4ba5adbc2c64 · outbound

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

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.268455Z

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Observation 62a3bf29-81bb-4d54-b971-97e8ee23a717 · outbound

This paper cites MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.272673Z

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Observation bee5bf43-80e1-49fb-84a2-f6b1a9a92887 · outbound

This paper cites InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.276535Z

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Observation a7d94896-5e12-4933-ab95-f5e88aa4eedb · outbound

This paper cites Git-mol: A multi-modal large language model for molecular science with graph, image, and text.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Git-mol: A multi-modal large language model for molecular science with graph, image, and text

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.284544Z

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Observation 370b287c-a3c4-4f28-aadd-6679bcf0dff8 · outbound

This paper cites UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.288222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 541829d1-9ecc-4037-bbe5-1c177328b845 · outbound

This paper cites 3d-molm: Towards 3d molecule-text interpretation in language models.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization 3d-molm: Towards 3d molecule-text interpretation in language models

Reference 12

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Observation e8a5cc79-836d-4664-8ebb-cabd0f3cc3f9 · outbound

This paper cites Smiles, a chemical language and information system.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Smiles, a chemical language and information system

Reference 13

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Observation 9d87b515-3f38-484b-8f7e-a773909da454 · outbound

This paper cites Self-referencing embedded strings (selfies): A 100string representation.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Self-referencing embedded strings (selfies): A 100string representation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.299468Z

Source-reported events for the cited work

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Observation 6275b197-d620-4626-b750-04b51773f0c2 · outbound

This paper cites Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.302907Z

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Observation fb3e59fc-518d-438a-9617-9c54f9633aad · outbound

This paper cites Molecular contrastive learning of representations via graph neural networks.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Molecular contrastive learning of representations via graph neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:30.168616Z

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Observation 6b373605-ad78-42a9-bb9c-e7013483407d · outbound

This paper cites A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

Reference 17

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Observation 668ef083-4e69-47ba-a0c6-36b7216bb60b · outbound

This paper cites Drugchat: Towards enabling chatgpt- like capabilities on drug molecule graphs, 2023.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Drugchat: Towards enabling chatgpt- like capabilities on drug molecule graphs, 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:30.159129Z

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Observation 34b7a988-d846-4b39-8444-e4392e68495b · outbound

This paper cites 3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization 3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling

Reference 19

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Observation e3bbcf45-16a5-4d57-814a-b0eb7db0b709 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 20

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Observation a8595b3d-a3c2-4f05-8929-e75420fe4ae0 · outbound

This paper cites Strategies for pre-training graph neural networks.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Strategies for pre-training graph neural networks

Reference 21

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Observation efc9967a-0b2f-4de9-adf4-50aed447ed02 · outbound

This paper cites Pure transformers are powerful graph learners.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Pure transformers are powerful graph learners

Reference 22

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Observation 5da10b44-2c08-47ff-986b-570a60a75198 · outbound

This paper cites Developing ChemDFM as a large language foundation model for chemistry.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Developing ChemDFM as a large language foundation model for chemistry

Reference 23

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Observation b18af7cb-0cea-4a88-82a4-a52445b0ecb7 · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learning.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Deeper insights into graph convolutional networks for semi-supervised learning

Reference 24

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Observation 3b09b6e1-2ed3-4546-b262-7f06cfca254c · outbound

This paper cites Mistral 7B.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Mistral 7B

Reference 25

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Observation 9880ce45-a5e1-45a1-a21d-1da7c6b30db1 · outbound

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Visual Instruction Tuning

Reference 26

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Observation 095a8356-8f22-41e8-bb1b-9b42557201ab · outbound

This paper cites mDPO: Conditional Preference Optimization for Multimodal Large Language Models.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization mDPO: Conditional Preference Optimization for Multimodal Large Language Models

Reference 27

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 28

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Observation 30f1ff14-5d01-4fea-aabb-fd6540b6bf4f · outbound

This paper cites Translation between Molecules and Natural Language.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Translation between Molecules and Natural Language

Reference 29

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This paper cites Nomenclature of organic chemistry: IUPAC recommenda- tions and preferred names 2013.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Nomenclature of organic chemistry: IUPAC recommenda- tions and preferred names 2013

Reference 30

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Observation 570a946c-ff34-40c7-a308-71ae395a6f6f · outbound

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Galactica: A Large Language Model for Science

Reference 31

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This paper cites Aqsoldb, a curated reference set of aqueous solubility and 2d descriptors for a diverse set of compounds.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Aqsoldb, a curated reference set of aqueous solubility and 2d descriptors for a diverse set of compounds

Reference 32

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This paper cites Wigh, Joe Arrowsmith, Alexander Pomberger, Kobi C.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Wigh, Joe Arrowsmith, Alexander Pomberger, Kobi C

Reference 33

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This paper cites A novel measure for evaluating classifiers.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization A novel measure for evaluating classifiers

Reference 34

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Bleu: a method for automatic evaluation of machine translation

Reference 35

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Rdkit documentation

Reference 36

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This paper cites Reoptimization of mdl keys for use in drug discovery.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Reoptimization of mdl keys for use in drug discovery

Reference 37

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This paper cites The generation of a unique machine description for chemical structures-a technique developed at chemical abstracts service.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization The generation of a unique machine description for chemical structures-a technique developed at chemical abstracts service

Reference 38

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Rouge: A package for automatic evaluation of summaries

Reference 39

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 40

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This paper cites Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:30.035067Z

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Graph contrastive learning with augmentations

Reference 42

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This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 43

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This paper cites Molxpt: Wrapping molecules with text for generative pre-training.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Molxpt: Wrapping molecules with text for generative pre-training

Reference 44

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Language models are unsupervised multitask learners

Reference 45

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Gerstein

Reference 46

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Observation 526ae8c1-b2e7-4e4d-a420-f95b0b38dd7c · outbound

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Direct preference optimization: Your language model is secretly a reward model

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.985012Z

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This paper cites Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 48

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

Reference 49

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

Reference 50

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 51

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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Scibert: A pretrained language model for scientific text

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.966193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3dd43d7f-3978-4bd0-b652-ff6b48579c8c · outbound

This paper cites Text2mol: Cross-modal molecule retrieval with natural language queries.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Text2mol: Cross-modal molecule retrieval with natural language queries

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.438281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6972b00-8cfc-488f-b582-6008d1108297 · outbound

This paper cites Shoemaker, Paul A.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Shoemaker, Paul A

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.951041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a5061539-8b10-4501-ad27-f4b1b4c41569 · outbound

This paper cites an unresolved cited work.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:06:29.942145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04d80bd4-e581-4a51-8a55-c96d3ee81921 · outbound

This paper cites Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.933478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f731504-b3c9-4e19-af79-21d9a1b41128 · outbound

This paper cites Limitations.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Limitations

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.924518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3eba61ea-eefe-4d03-86f0-10cbee05b218 · outbound

This paper cites 24 Guidelines: • The answer NA means that the paper does not include theoretical results.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization 24 Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.915848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e4ad3afb-2a50-4148-a5aa-cef3e180c9a1 · outbound

This paper cites Appendix B includes further training details.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Appendix B includes further training details

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.906205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 749f0618-568c-43e3-b91c-a3a23c5431bf · outbound

This paper cites In addition, the code, trained model, and data will be released publicly.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization In addition, the code, trained model, and data will be released publicly

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.897690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7b03d622-bcdc-43ed-add6-f5d08ac05c91 · outbound

This paper cites an unresolved cited work.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:06:29.888817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be3f3a4d-cc1c-43ac-b5fc-bdf465bf5270 · outbound

This paper cites We note that the prior work we discussed in Section 4 similarly does not report statistical significance.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization We note that the prior work we discussed in Section 4 similarly does not report statistical significance

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.879526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15f34e01-c990-48b0-8f93-f940292b2e22 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Guidelines: • The answer NA means that the paper does not include experiments

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.870768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a965e104-3162-491d-bfab-7aecbf20801d · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.861623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f844a0f-d0b3-4189-8a2f-e0db2fda4cea · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.852238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa44a8e8-34be-4b24-803d-a0b4641c2d29 · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Guidelines: • The answer NA means that the paper poses no such risks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.842140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 051a5abc-0ad9-4ceb-bc18-81e9a7dad456 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Guidelines: • The answer NA means that the paper does not use existing assets

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.831499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd4e3998-59d4-412f-b0a1-1460ce69cc6b · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Guidelines: • The answer NA means that the paper does not release new assets

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.821557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 02caab26-c3ff-4a9a-b8ba-ebbd0851d36f · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.810570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be05e25c-c20b-44e5-9ef8-4c615db04c06 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.800177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4f4a787-1e90-456d-96f8-ba6fb87f4a5e · outbound

This paper cites 29 Answer: [Yes] Justification: Large language models (LLMs) are an integral component of the proposed method, as described in Section 2.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization 29 Answer: [Yes] Justification: Large language models (LLMs) are an integral component of the proposed method, as described in Section 2

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:06:29.790262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6165da5e-daa7-4e5d-8489-aa590d361d67 · outbound

This paper cites an unresolved cited work.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:06:30.183443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f9ca4ce9-f5db-4610-a763-4ec4e31aec43 · outbound

This paper cites an unresolved cited work.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:06:29.975364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 5fcf52b0-d627-4348-bebd-306e19538e00 · inbound

Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification? cites this paper.

Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification? Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:59.635636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 973bc306-b6ad-4a4e-b6b8-d98842ed0c2d · inbound

MolDA: Molecular Understanding and Generation via Large Language Diffusion Model cites this paper.

MolDA: Molecular Understanding and Generation via Large Language Diffusion Model Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:49.497887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c4f66e8-8750-4e56-a876-3b4e683fa072 · inbound

DrugGen 2: A disease-aware language model for enhancing drug discovery cites this paper.

DrugGen 2: A disease-aware language model for enhancing drug discovery Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T08:06:57.900146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.