mlsanityData to 7 Oct 2026

Chemical Chain-of-Thought Functions as a Hallucination-Prone Molecular Scratchpad

arXiv 2607.20935 ↗First posted 23 Jul 2026cs.CE cs.CLcited by 1

On the map: LLM reasoning → Clinical and biomedical applications

Abstract (arXiv)

Chemical reasoning language models are expected to derive molecular answers through faithful chain-of-thought (CoT). However, across four reasoning model families and twelve chemistry tasks, hallucination is widespread and largely decoupled from answer correctness: correct answers often coexist with fabricated structural claims absent from the relevant molecules. Yet this does not make the reasoning trace computationally irrelevant. Attribution analyses suggest a shared scratchpad function expressed in model-specific forms: Chem-R and ether-0 rely on fragmented SMILES drafts, whereas ChemDFM-R emphasizes scaffold, positional, and naming cues. Notably, perturbing Chem-R's SMILES sketches degrades generation, showing that structural drafts can be causally load-bearing even when verbal structural claims are largely inert. Together, these results show that chemical CoT is neither a faithful explanation nor merely a post-hoc rationalization, but a hallucination-prone molecular scratchpad. This finding cautions against treating CoT as direct evidence of faithful reasoning and motivates process-level supervision beyond answer-only evaluation.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Clinical and biomedical applications, one of 17 directions in LLM reasoning. Builds on 25 of its 33 references that are in the map. First posted on arXiv 23 Jul 2026.

Builds on

25 of 33 references.

Closest ancestors · 4

Same direction, newest first

  1. 2025Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery11 Aug
  2. 2025MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs4 Aug
  3. 2025ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge29 Jul
  4. 2025Training a Scientific Reasoning Model for Chemistry4 Jun

Other references · 21

  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  2. 2021Training Verifiers to Solve Math Word Problemscited by 9,743
  3. 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelscited by 8,851
  4. 2023Let's Verify Step by Stepcited by 3,598
  5. 2023Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Promptingcited by 1,081
  6. 2019Attention is not Explanationcited by 916
  7. 2021Show Your Work: Scratchpads for Intermediate Computation with Language Modelscited by 871
  8. 2022Solving math word problems with process- and outcome-based feedbackcited by 871
  9. 2023Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generationcited by 795
  10. 2023Measuring Faithfulness in Chain-of-Thought Reasoningcited by 668
  11. 2023ChemCrow: Augmenting large-language models with chemistry toolscited by 609
  12. 2020Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?cited by 590
9 more
  1. 2025Reasoning Models Don't Always Say What They Thinkcited by 388
  2. 2025Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Modelscited by 381
  3. 2025Demystifying Long Chain-of-Thought Reasoning in LLMscited by 323
  4. 2023Faithful Chain-of-Thought Reasoningcited by 285
  5. 2022Translation between Molecules and Natural Languagecited by 173
  6. 2025Chain-of-Thought Reasoning In The Wild Is Not Always Faithfulcited by 166
  7. 2017Retrosynthetic reaction prediction using neural sequence-to-sequence modelscited by 82
  8. 2024Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generationcited by 22
  9. 2025Chem-R: Learning to Reason as a Chemistcited by 16

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

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Close in wording, no citation either way

  1. 2026From Answers to States: Verifiable Process-Level Evaluation of Chemical Reasoning in Large Language Models
  2. 2026LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
  3. 2025Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations
  4. 2026MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecular Graphs
  5. 2024Structural Reasoning Improves Molecular Understanding of LLM
  6. 2026MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Elucidation
  7. 2025Assessing the Chemical Intelligence of Large Language Models
  8. 2026The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning