Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:20.914139Z
Paper Citation Record · LEDGER
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization
As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 2 inbound Pith citation observations for arXiv:2505.16094.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:55:41.887147Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T06:06:18.720149Z
Reference resolution
14 of 14 outbound references displayed
- verified exact0
- verified fuzzy6
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8d950218-8c54-4ad3-a965-786e176c6495 · outbound
This paper cites ChatMol: A Versatile Molecule Designer Based on the Numerically Enhanced Large Language Model.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization ChatMol: A Versatile Molecule Designer Based on the Numerically Enhanced Large Language Model
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T15:09:21.443415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bf8f6312-c796-4f8d-943b-ee2cc13d614a · outbound
This paper cites Sunghwan Kim, Paul A Thiessen, Evan E Bolton, Jie Chen, Gang Fu, Asta Gindulyte, Lianyi Han, Jane He, Siqian He, Benjamin A Shoemaker, and 1 others.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization Sunghwan Kim, Paul A Thiessen, Evan E Bolton, Jie Chen, Gang Fu, Asta Gindulyte, Lianyi Han, Jane He, Siqian He, Benjamin A Shoemaker, and 1 others
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:09:19.941247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f95a36bd-c877-4147-bd8e-d9370ce10c7c · outbound
This paper cites an unresolved cited work.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:09:23.372364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 39a7166c-3836-4644-aa15-02257e491a79 · outbound
This paper cites ready-to-dock.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization ready-to-dock
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:09:22.816119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b3f42d6b-fe6e-42c6-a7cb-b15893a4367b · outbound
This paper cites • Novelty Rate:The novelty rate (Brown et al.,.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization • Novelty Rate:The novelty rate (Brown et al.,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:09:22.204069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7f2ab203-9aaf-46a8-aad6-7867191eff1a · outbound
This paper cites Cate- gory.
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:09:21.616221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 99837bd7-48e7-47f4-8782-b35f5716ea52 · outbound
This paper cites Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
Reference 1968
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:09:19.714746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2402a4d4-ce7d-4279-adfa-8ab7188266d5 · outbound
This paper cites These repre- sentations are well-suited for LLMs due to their compatibility with token-based language model- ing.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization These repre- sentations are well-suited for LLMs due to their compatibility with token-based language model- ing
Reference 1988
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:09:23.600596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cce9a6fd-a36a-4e62-8660-82e9bc3e0b44 · outbound
This paper cites It serves as an indicator of the model’s generalization ability and its potential to discover previously unseen chemical entities.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization It serves as an indicator of the model’s generalization ability and its potential to discover previously unseen chemical entities
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:09:21.923379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation aa071bb4-31e1-4589-83a6-23be3e963e58 · outbound
This paper cites InInternational Conference on Machine Learning, pages 4849–4859.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization InInternational Conference on Machine Learning, pages 4849–4859
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:09:23.858154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 102c06ee-b82a-409f-a4ea-a6dfab236326 · outbound
This paper cites an unresolved cited work.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization Unresolved cited work
Reference 2022
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:09:22.535089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 00fe11a6-18ff-418f-b84b-c4dc918b5e5d · outbound
This paper cites an unresolved cited work.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization Unresolved cited work
Reference 2023
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:09:23.140185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ac9eadec-827f-4c97-8bcd-b37e1bd10267 · outbound
This paper cites Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
Reference 2024
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T15:09:21.099379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7e915868-e466-489f-b6ef-ce38c396c1c9 · outbound
This paper cites MolGAN: An implicit generative model for small molecular graphs.
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization MolGAN: An implicit generative model for small molecular graphs
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:09:19.461632Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 199aa31d-0d47-4637-ab57-2fd5abdc14fc · inbound
A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.
A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization
Reference 209
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:55:41.887147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0def9cd3-c548-4ef5-a8c1-6ae680dad6f6 · inbound
HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification cites this paper.
HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:06:18.721435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.