Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T05:29:42.775788Z
Paper Citation Record · LEDGER
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning
As of 20 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2607.13350.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
60 of 60 outbound references displayed
- verified exact3
- verified fuzzy0
- unresolved56
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 71ae5517-aa11-4181-9c79-e61bd6303335 · outbound
This paper cites Transactions on Machine Learning Research , issn=.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Transactions on Machine Learning Research , issn=
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d59f3e97-b4f8-4586-b81b-17e2f94f586e · outbound
This paper cites and Johnson, Stephen R.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning and Johnson, Stephen R
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3348b375-450f-4288-ac78-d2c4c6a7bd58 · outbound
This paper cites Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings1PII of original article: S0169-409X(96)00423-1.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings1PII of original article: S0169-409X(96)00423-1
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9c8d293-f228-48d7-9abf-c635a7a6861d · outbound
This paper cites 2023 , eprint=.
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0aa7cbc-50e4-431d-af8e-a8658622ef97 · outbound
This paper cites Scientific Data , volume =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Scientific Data , volume =
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfd7cfd6-94c7-488d-afdd-84c1051a862b · outbound
This paper cites doi:10.1021/ci00057a005 , urldate =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning doi:10.1021/ci00057a005 , urldate =
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cbf9c9f-a102-4742-b576-a884e820dd72 · outbound
This paper cites Scientific Data , volume =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Scientific Data , volume =
Reference 7
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dde004b4-4056-4dbd-a3e2-bdc302ec59d2 · outbound
This paper cites Physical Chemistry Chemical Physics , volume =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Physical Chemistry Chemical Physics , volume =
Reference 8
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 658eabfe-ead8-49b4-8786-ba7f409efe0e · outbound
This paper cites and Khashabi, Daniel and Hajishirzi, Hannaneh.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning and Khashabi, Daniel and Hajishirzi, Hannaneh
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da28dafe-7e9c-4ee3-987c-a9f936c0d9d6 · outbound
This paper cites Hashimoto , title =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Hashimoto , title =
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43183d69-8ccf-4a14-916e-05d5869a038f · outbound
This paper cites AI for Accelerated Materials Design - NeurIPS 2023 Workshop , year=.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning AI for Accelerated Materials Design - NeurIPS 2023 Workshop , year=
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e503f940-3975-4a44-9b25-80d10564880a · outbound
This paper cites and Banck, Michael and James, Craig A.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning and Banck, Michael and James, Craig A
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bee986c2-b860-487c-af37-555f1320662f · outbound
This paper cites RDKit: Open-Source Cheminformatics Software , url =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning RDKit: Open-Source Cheminformatics Software , url =
Reference 13
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e364e0d-2fb0-4675-b4c3-44a9644cc52b · outbound
This paper cites Molecular.
Reference 14
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60439180-c2a7-49da-acd3-5d907db3e3b8 · outbound
This paper cites Proceedings of the 37th International Conference on Machine Learning , pages =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Proceedings of the 37th International Conference on Machine Learning , pages =
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 089fe6d3-d6ce-4180-aa4c-ed4d3ffcfdad · outbound
This paper cites Learning.
Reference 16
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30852fed-31c1-414d-92c2-c68b28741fae · outbound
This paper cites Learning.
Reference 17
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 037ecd62-c7c9-47d9-a741-91ee6140d07e · outbound
This paper cites URL https://github.com/axolotl-ai-cloud/axolotl/tree/main , url =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning URL https://github.com/axolotl-ai-cloud/axolotl/tree/main , url =
Reference 18
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57baf1e9-55d5-43df-a9fd-a41713d65697 · outbound
This paper cites Advances in neural information processing systems , volume=.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Advances in neural information processing systems , volume=
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5baee186-d4b2-4a76-8002-16299b3e62e7 · outbound
This paper cites 2026 , url =.
Reference 20
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cdf3a66-09ab-4e93-8c4f-d84ddf52b583 · outbound
This paper cites 2024 , url =.
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30f53330-34c9-4f4a-8b9e-1d3890d61fc7 · outbound
This paper cites Advances in neural information processing systems , volume=.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Advances in neural information processing systems , volume=
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d38f4f56-d56b-44dd-bf79-e76c26457219 · outbound
This paper cites Transactions on Machine Learning Research , year=.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Transactions on Machine Learning Research , year=
Reference 23
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd4f0d28-634d-488f-95d2-ef769e53356a · outbound
This paper cites , title =.
Reference 24
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8441fc80-9a2c-4bf8-b550-d29b389e52da · outbound
This paper cites 2019 , eprint=.
Reference 25
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4de85666-60fe-44a0-bbee-cedf9c02f60b · outbound
This paper cites 2024 , eprint=.
Reference 26
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e9492e4-cc59-4abb-94e7-bada529ba01a · outbound
This paper cites 2018 , eprint=.
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87c9e92c-c618-4e73-b6d3-aa398b7788f2 · outbound
This paper cites and Fenske, Richard F.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning and Fenske, Richard F
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation efd341d7-c3ee-453f-bed3-b66cfcd79c50 · outbound
This paper cites The Llama 3 Herd of Models.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning The Llama 3 Herd of Models
Reference 29
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79e70021-9f69-434b-bc0c-dea8fb43c6a6 · outbound
This paper cites International Conference on Learning Representations , year=.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning International Conference on Learning Representations , year=
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03a49a30-1ea5-4e80-b384-930e893fda13 · outbound
This paper cites and Wang, Yingze and Sawyer, Jacob M.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning and Wang, Yingze and Sawyer, Jacob M
Reference 31
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9070652e-401c-48b2-acdb-fadba678b593 · outbound
This paper cites SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eb05fcbd-aa24-40f2-99f0-b08879a89d73 · outbound
This paper cites Baker and Ziqi Chen and Xia Ning and Huan Sun , booktitle=.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Baker and Ziqi Chen and Xia Ning and Huan Sun , booktitle=
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1feee6d1-7d4f-49b1-b6fb-d10c6d4fe9b6 · outbound
This paper cites Translation between.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Translation between
Reference 34
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00e007d3-be86-49db-a612-c780f357edb1 · outbound
This paper cites Dean and Kulik, Heather and.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Dean and Kulik, Heather and
Reference 35
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7e295ba9-8624-49b9-bc25-df00cd790734 · outbound
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How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files
Reference 36
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3790b63-1e7c-4e4f-8bfb-d067826a5185 · outbound
This paper cites Qwen2.5 Technical Report.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Qwen2.5 Technical Report
Reference 37
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7acfcef-2bdd-44ee-8aee-cfc82e641d2b · outbound
This paper cites an unresolved cited work.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Unresolved cited work
Reference 38
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b559f02-c4a8-4ebc-a32d-18babbd16b0c · outbound
This paper cites 2024 , eprint=.
Reference 39
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7daf2c47-d666-4755-9910-ac0d85890456 · outbound
This paper cites Connection Science , volume =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Connection Science , volume =
Reference 40
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09529d10-7857-4956-9aee-23e51fd6ae64 · outbound
This paper cites Journal of Chemical Theory and Computation , publisher =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Journal of Chemical Theory and Computation , publisher =
Reference 41
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf7c1585-a10a-46a2-9b52-7f327d27043d · outbound
This paper cites and Gomes, Joseph and Geniesse, Caleb and Pappu, Aneesh S.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning and Gomes, Joseph and Geniesse, Caleb and Pappu, Aneesh S
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd718c2a-ada0-49c1-8e98-8f26eb9b7184 · outbound
This paper cites and Deems, Stephen and Furlani, Thomas R.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning and Deems, Stephen and Furlani, Thomas R
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4839f467-0e0e-42e9-8122-c7b3b730634d · outbound
This paper cites an unresolved cited work.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Unresolved cited work
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55fd84ed-6d2e-47fa-8029-ef83bfdddfe1 · outbound
This paper cites Acta Crystallographica Section A , volume =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Acta Crystallographica Section A , volume =
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31a6d46b-6c33-431b-a7f5-0ee1be887f49 · outbound
This paper cites Digital Discovery , volume =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Digital Discovery , volume =
Reference 46
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 88f6bfe0-5329-4334-b3d9-c9d0faf3c91c · outbound
This paper cites 2020 , url =.
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4795498-c996-415f-84ba-d8152454f64f · outbound
This paper cites Acta Crystallographica Section A , volume =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Acta Crystallographica Section A , volume =
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d362232-5a6e-448b-ad4a-4d21f20ee817 · outbound
This paper cites Naval Research Logistics Quarterly , volume =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Naval Research Logistics Quarterly , volume =
Reference 49
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b034c824-837a-4036-8b3e-7aab3d549298 · outbound
This paper cites 2025 , note =.
Reference 50
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fd78c37-e7ab-4d39-b356-eecda903dcad · outbound
This paper cites 2026 , eprint=.
Reference 51
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f16ae35-ea18-4a4b-b258-bb467fb367eb · outbound
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How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning doi:10.5281/zenodo.12608602 , url =
Reference 52
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ae36fba-147c-49ca-a1a6-3906c042005f · outbound
This paper cites and Gardner, Matt.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning and Gardner, Matt
Reference 53
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 876131a4-5d5f-4dd6-9554-cf78b4b24d43 · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 54
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 451fb0be-9ace-4aef-831f-0024d3f5014e · outbound
This paper cites B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 55
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51a591b9-512d-4c64-8491-758aaac4c9e7 · outbound
This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning The LAMBADA dataset: Word prediction requiring a broad discourse context
Reference 56
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7706a9d1-52f1-49ce-b2b3-81f11ecd30b1 · outbound
This paper cites H ella S wag: Can a Machine Really Finish Your Sentence?.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning H ella S wag: Can a Machine Really Finish Your Sentence?
Reference 57
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a002ae56-843c-49d1-8f29-a40aa194f4a4 · outbound
This paper cites Thirty-Fourth AAAI Conference on Artificial Intelligence , year =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Thirty-Fourth AAAI Conference on Artificial Intelligence , year =
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:29:42.575244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f9f1504-c762-4c40-b2d1-11e9167703ed · outbound
This paper cites Winogrande: An adversarial winograd schema challenge at scale , volume =.
How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning Winogrande: An adversarial winograd schema challenge at scale , volume =
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:29:42.675848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9c211b9-bf4b-4d0b-95a0-62e0726656ce · outbound
This paper cites EMNLP , year=.
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:29:42.775788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.