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Paper Citation Record · LEDGER

ChemLLM: A Chemical Large Language Model

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 55 inbound Pith citation observations for arXiv:2402.06852.

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

pith.paper-citation-record.v1
2402.06852 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 55 of 55 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:54:43.094421Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

43
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 66ec8443-db36-474d-9db0-f08dc3528b1e · inbound

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts cites this paper.

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts ChemLLM: A Chemical Large Language Model

Reference 44

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arxiv_id, observed 2026-05-23T16:45:42.523674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 707bff4a-f6ba-44a8-962a-c92ed30a4d99 · inbound

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases cites this paper.

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases ChemLLM: A Chemical Large Language Model

Reference 34

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source=arxiv_source observed=2026-08-12T14:59:24.214679Z digest=sha256:5a15aa5a9bad13803d2d5a959f9c9cce6a99097daee1200a315d5071df0c029c

Observation df4d0744-1232-418b-8a85-7beabf355440 · inbound

MolMetaLM: a Physicochemical Knowledge-Guided Molecular Meta Language Model cites this paper.

MolMetaLM: a Physicochemical Knowledge-Guided Molecular Meta Language Model ChemLLM: A Chemical Large Language Model

Reference 7

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Observation 9e1e103c-3c95-44d3-a57a-c00c72da9f64 · inbound

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

ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain ChemLLM: A Chemical Large Language Model

Reference 48

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source=pdf_text observed=2026-08-12T14:13:30.600439Z digest=sha256:6367a1c70107e624b6f066fb5b6325dd4e517bcfc455e684334c906c0169ec84

Observation c02a830b-b0fb-4323-9080-21f75d5bd5bd · inbound

Probing the limitations of multimodal language models for chemistry and materials research cites this paper.

Probing the limitations of multimodal language models for chemistry and materials research ChemLLM: A Chemical Large Language Model

Reference 18

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source=pdf_text observed=2026-08-12T12:45:35.691549Z digest=sha256:76c090dac223565427811df07e28bd388590c1ee2bd1b3f191e3087b2a17fc14

Observation a2730599-0fda-431f-a4da-d129ea5d7f07 · inbound

Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models cites this paper.

Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models ChemLLM: A Chemical Large Language Model

Reference 45

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Observation d903408c-03a8-453f-8ef5-3ab8de98c1e1 · inbound

Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation cites this paper.

Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation ChemLLM: A Chemical Large Language Model

Reference 40

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arxiv_id, observed 2026-05-25T08:15:33.980508Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9dc92dff-85b2-415e-af31-94282ae4a050 · inbound

Can Hallucinations Help? Boosting LLMs for Drug Discovery cites this paper.

Can Hallucinations Help? Boosting LLMs for Drug Discovery ChemLLM: A Chemical Large Language Model

Reference 56

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no resolver link, observed 2026-08-10T15:39:26.467764Z

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source=arxiv_source observed=2026-08-10T15:39:26.467764Z digest=sha256:83577e0080260c3f475a4480d8b79e761c95627d6556e6df2918658e18c2b09a

Observation ddd65a0f-5e1d-40ec-90cc-40d21d0cc049 · inbound

The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility? cites this paper.

The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility? ChemLLM: A Chemical Large Language Model

Reference 45

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source=arxiv_source observed=2026-08-10T18:31:03.508265Z digest=sha256:730357e83057173754bd8991bf1bd960e545ac3e0dc8d3e6722d581508b0b37c

Observation 31c475ab-79cd-42b3-9d54-311550e01048 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning ChemLLM: A Chemical Large Language Model

Reference 245

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arxiv_id, observed 2026-05-23T04:32:32.728279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a584e79b-646f-4bb2-b0bc-391be75d1fef · inbound

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities cites this paper.

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities ChemLLM: A Chemical Large Language Model

Reference 25

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no resolver link, observed 2026-08-08T17:29:52.989717Z

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source=pdf_text observed=2026-08-08T17:29:52.989717Z digest=sha256:592262642b9b36e9405953e86d07c787faa19282dbc3dea1eb7fc19bf70a8f73

Observation 9c6d855d-1ae8-4f0e-b0e2-c5370502e841 · inbound

El Agente: An Autonomous Agent for Quantum Chemistry cites this paper.

El Agente: An Autonomous Agent for Quantum Chemistry ChemLLM: A Chemical Large Language Model

Reference 38

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no resolver link, observed 2026-08-16T00:54:43.094421Z

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source=pdf_text observed=2026-08-16T00:54:43.094421Z digest=sha256:baf81bcc1286f68c837af21038305df8f5b9dbbfb643c6b04a56d8775d2329d1

Observation 61d5084d-31f9-4cf7-ae21-4721a06b03b3 · inbound

Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research cites this paper.

Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research ChemLLM: A Chemical Large Language Model

Reference 107

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no resolver link, observed 2026-08-15T22:31:28.918515Z

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Observation ce824fde-1cfb-430f-915d-6c0c2cec4753 · inbound

Automatic Task Detection and Heterogeneous LLM Speculative Decoding cites this paper.

Automatic Task Detection and Heterogeneous LLM Speculative Decoding ChemLLM: A Chemical Large Language Model

Reference 46

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Observation 8e4bf601-3161-446c-bcd3-fa36c6bbcd01 · inbound

AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research cites this paper.

AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research ChemLLM: A Chemical Large Language Model

Reference 104

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source=pdf_text observed=2026-08-15T20:47:00.810218Z digest=sha256:835214811ef66a815c97a6aca19eb14e7523bdb4d5a64e22db60631e370b7d56

Observation a078fce0-5191-4245-ab95-3ffa43c90b28 · inbound

Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems cites this paper.

Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems ChemLLM: A Chemical Large Language Model

Reference 36

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no resolver link, observed 2026-08-15T20:35:09.898417Z

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Observation 347aa0eb-83ac-4531-b649-040771bab361 · inbound

ChemMLLM: Chemical Multimodal Large Language Model cites this paper.

ChemMLLM: Chemical Multimodal Large Language Model ChemLLM: A Chemical Large Language Model

Reference 53

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Observation 5392ce9c-87c8-4189-93ab-49e38c3351d8 · inbound

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization cites this paper.

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization ChemLLM: A Chemical Large Language Model

Reference 63

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source=arxiv_source observed=2026-08-07T14:57:43.782494Z digest=sha256:4c72dd24514eb32f5db243803e5605422957b9a4af91fe871bf89304bed3e094

Observation e5745806-da5d-4446-a65c-17f1f2f9bb1a · inbound

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs cites this paper.

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs ChemLLM: A Chemical Large Language Model

Reference 51

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Observation 150dd92c-c77a-49b6-ba9e-c34e8bece0a2 · inbound

Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science cites this paper.

Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science ChemLLM: A Chemical Large Language Model

Reference 50

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no resolver link, observed 2026-08-07T14:37:31.336529Z

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source=pdf_text observed=2026-08-07T14:37:31.336529Z digest=sha256:e2e65ac42bf23224aeb1ef431d7b80622f0b8de696ced5e6d0778e59717c98fb

Observation 5cc85312-b01b-41ac-b87a-3d1d2e71f834 · inbound

Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization cites this paper.

Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization ChemLLM: A Chemical Large Language Model

Reference 2023

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Observation b748d6ac-e3fd-453a-a9ca-585e64f5a2f7 · inbound

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation cites this paper.

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation ChemLLM: A Chemical Large Language Model

Reference 2025

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Observation 9d862298-055d-4673-a2dc-59e6d51dc354 · inbound

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning cites this paper.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning ChemLLM: A Chemical Large Language Model

Reference 31

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no resolver link, observed 2026-08-07T05:36:38.549855Z

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source=arxiv_source observed=2026-08-07T05:36:38.549855Z digest=sha256:1391c427239ee8836ab45bc8c2c7030848ce215b09e88cc1b9573ad4023669ef

Observation 4c2ff3a7-05b7-47d8-bc6b-4adb9525ef58 · 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? ChemLLM: A Chemical Large Language Model

Reference 146

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Observation 06b54caa-23db-4c4f-949c-4209d753a478 · inbound

BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining cites this paper.

BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining ChemLLM: A Chemical Large Language Model

Reference 39

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Observation 884545a1-83d1-46b5-a027-e125764e7025 · inbound

What do Large Language Models know about materials? cites this paper.

What do Large Language Models know about materials? ChemLLM: A Chemical Large Language Model

Reference 27

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Observation 9e1ae938-b622-4edf-92ec-6979b2f01790 · inbound

Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning cites this paper.

Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning ChemLLM: A Chemical Large Language Model

Reference 31

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no resolver link, observed 2026-08-06T14:55:03.886568Z

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Observation 4e907083-f79d-4780-808c-a7b7d4818339 · inbound

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge cites this paper.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge ChemLLM: A Chemical Large Language Model

Reference 24

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verified exact
arxiv_id, observed 2026-05-19T03:32:01.615975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3a88d361-3cd5-438b-8229-8179abf94292 · inbound

Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation cites this paper.

Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation ChemLLM: A Chemical Large Language Model

Reference 57

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Observation 12de6235-56e5-4217-a1a5-68c174e349a5 · inbound

MatSKRAFT: A framework for large-scale materials knowledge extraction from scientific tables cites this paper.

MatSKRAFT: A framework for large-scale materials knowledge extraction from scientific tables ChemLLM: A Chemical Large Language Model

Reference 32

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Observation 303df581-fc5a-4dd7-96d7-dddc33e05477 · inbound

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations cites this paper.

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations ChemLLM: A Chemical Large Language Model

Reference 14

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source=pdf_text observed=2026-08-03T14:45:41.633090Z digest=sha256:e98a776f72d6dd6b8e6acc9948bb4e462a6bdad38815474c3db04094076490df

Observation 76ff083a-88b0-4e02-a4fa-41af4f399907 · inbound

A large-scale nanocrystal database with aligned synthesis and properties enabling generative inverse design cites this paper.

A large-scale nanocrystal database with aligned synthesis and properties enabling generative inverse design ChemLLM: A Chemical Large Language Model

Reference 2

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Observation f3adc77d-1266-4622-8a14-3cb4c6d84402 · inbound

Large Language Model Agent for User-friendly Chemical Process Simulations cites this paper.

Large Language Model Agent for User-friendly Chemical Process Simulations ChemLLM: A Chemical Large Language Model

Reference 39

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verified exact
arxiv_id, observed 2026-05-22T11:51:30.082531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d1e44f48-cd44-48b6-b672-aec04fe9e30f · inbound

When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs cites this paper.

When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs ChemLLM: A Chemical Large Language Model

Reference 827

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Observation 98963c33-c5eb-46d5-93c7-885bae1bd6e3 · inbound

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning cites this paper.

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning ChemLLM: A Chemical Large Language Model

Reference 48

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Observation ece195fa-4d0b-4cd4-aa6b-bb1864d0bb2d · inbound

AI4S-SDS: A Neuro-Symbolic Solvent Design System via Sparse MCTS and Differentiable Physics Alignment cites this paper.

AI4S-SDS: A Neuro-Symbolic Solvent Design System via Sparse MCTS and Differentiable Physics Alignment ChemLLM: A Chemical Large Language Model

Reference 18

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arxiv_id, observed 2026-05-15T17:36:22.471644Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fa2461a0-b9ac-4399-a2f1-9f5dc7627b5e · inbound

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models cites this paper.

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

Reference 28

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arxiv_id, observed 2026-05-11T09:46:07.140684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cc6b9667-8f71-42ca-90a9-f1df0e2dd1e8 · inbound

Heterogeneous Scientific Foundation Model Collaboration cites this paper.

Heterogeneous Scientific Foundation Model Collaboration ChemLLM: A Chemical Large Language Model

Reference 68

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verified exact
arxiv_id, observed 2026-05-12T09:56:27.130349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f990d5a6-2f7c-403f-82df-9ed8f6bcd1ee · inbound

Bolek: A Multimodal Language Model for Molecular Reasoning cites this paper.

Bolek: A Multimodal Language Model for Molecular Reasoning ChemLLM: A Chemical Large Language Model

Reference 13

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verified exact
arxiv_id, observed 2026-05-11T16:36:10.094949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a8be3695-ba92-403b-becc-19e2401123e1 · inbound

Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost Reasoning cites this paper.

Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost Reasoning ChemLLM: A Chemical Large Language Model

Reference 35

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verified exact
arxiv_id, observed 2026-05-11T01:45:51.799506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 008a911b-b466-4143-b67a-a232d7308191 · inbound

FORGE: Fragment-Oriented Ranking and Generation for Context-Aware Molecular Optimization cites this paper.

FORGE: Fragment-Oriented Ranking and Generation for Context-Aware Molecular Optimization ChemLLM: A Chemical Large Language Model

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:26:22.158125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f5de0436-e77c-4395-9c1d-37d29790498d · inbound

ChemVA: Advancing Large Language Models on Chemical Reaction Diagrams Understanding cites this paper.

ChemVA: Advancing Large Language Models on Chemical Reaction Diagrams Understanding ChemLLM: A Chemical Large Language Model

Reference 46

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verified exact
arxiv_id, observed 2026-05-20T13:53:19.959707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 93059d4b-34c0-4fbb-8b0f-d3f17e03d551 · inbound

RefiningGPT: Specialized language Models for Automated Refinery Unit-level Process Diagram Synthesis cites this paper.

RefiningGPT: Specialized language Models for Automated Refinery Unit-level Process Diagram Synthesis ChemLLM: A Chemical Large Language Model

Reference 25

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verified exact
arxiv_id, observed 2026-05-20T01:53:19.930069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3827258a-6e49-48fc-ba48-0a073113c4e1 · inbound

Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression cites this paper.

Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression ChemLLM: A Chemical Large Language Model

Reference 10

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metadata mismatch
arxiv_id, observed 2026-05-21T07:04:01.639103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules cites this paper.

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

Reference 60

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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 2026-08-22T06:32:14.747728+00:00.

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Observation 54dde102-23ee-4fdf-9540-06e2f83ce303 · inbound

Molecular Lead Optimization via Agentic Tool Planning cites this paper.

Molecular Lead Optimization via Agentic Tool Planning ChemLLM: A Chemical Large Language Model

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T17:14:57.135658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 53b5fb25-75a2-4bde-af2a-757ad7595dea · inbound

From Answers to States: Verifiable Process-Level Evaluation of Chemical Reasoning in Large Language Models cites this paper.

From Answers to States: Verifiable Process-Level Evaluation of Chemical Reasoning in Large Language Models ChemLLM: A Chemical Large Language Model

Reference 77

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verified exact
arxiv_id, observed 2026-07-02T03:46:32.811023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ad866a57-3495-4e00-9692-fde1ef105129 · inbound

MolE-RAG: Molecular Structure-Enhanced Retrieval-Augmented Generation for Chemistry cites this paper.

MolE-RAG: Molecular Structure-Enhanced Retrieval-Augmented Generation for Chemistry ChemLLM: A Chemical Large Language Model

Reference 118

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verified exact
arxiv_id, observed 2026-07-02T11:26:54.878651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T03:35:10.769920Z digest=sha256:008ae7b29ccbcbb0f59112b639879818247996c46833202eac6fcbb12abd5f49

Observation a56f0d93-ecaf-4875-8f0e-98f797b756b6 · inbound

SupraBench: A Benchmark for Supramolecular Chemistry cites this paper.

SupraBench: A Benchmark for Supramolecular Chemistry ChemLLM: A Chemical Large Language Model

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:48:20.815527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fb1b5b76-bad8-4533-972f-5fce579b06d1 · inbound

MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding cites this paper.

MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding ChemLLM: A Chemical Large Language Model

Reference 86

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verified exact
arxiv_id, observed 2026-07-03T15:48:35.041870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1eed598b-7172-4437-8129-e818e89ad98d · inbound

MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding cites this paper.

MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding ChemLLM: A Chemical Large Language Model

Reference 42

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no resolver link, observed 2026-08-03T02:04:27.117190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eb9a7384-c8c7-45f2-ab68-da244c3b6aa9 · inbound

Back to Basics: Improving Molecular Understanding in LLMs via SMILES-Graph Translation cites this paper.

Back to Basics: Improving Molecular Understanding in LLMs via SMILES-Graph Translation ChemLLM: A Chemical Large Language Model

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T05:30:24.459174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:30:24.459174Z digest=sha256:abcb8d1f6a1d3d363e43f0935ffc7733632dbe110d66faea8c6e71c6d23a4706

Observation efb023e4-4ee8-49dd-9952-4bcd34851748 · inbound

Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination cites this paper.

Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination ChemLLM: A Chemical Large Language Model

Reference 6

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verified exact
local_arxiv, observed 2026-07-10T08:06:57.883944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 45420250-3509-4477-bbc2-c3895126622b · inbound

Science Edge Evaluation: SEE the Missing Step Toward Real Scientific Discovery cites this paper.

Science Edge Evaluation: SEE the Missing Step Toward Real Scientific Discovery ChemLLM: A Chemical Large Language Model

Reference 29

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unresolved
no resolver link, observed 2026-08-10T18:12:45.613139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:45.613139Z digest=sha256:4ec66b8599f333a520e8c7ab749343877355b0fd8b0f3e8292896eabfbdc3b7a

Observation 26f00b42-4941-4791-8382-b05acecc86d7 · inbound

CAi Copilot: Reducing Operational Workload in Molecular Design through Intent-Driven Agentic Workflows cites this paper.

CAi Copilot: Reducing Operational Workload in Molecular Design through Intent-Driven Agentic Workflows ChemLLM: A Chemical Large Language Model

Reference 2024

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unresolved
no resolver link, observed 2026-08-10T17:37:17.093082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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