Paper Citation Record · LEDGER

Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2305.05708.

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

pith.paper-citation-record.v1
2305.05708 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:20:16.572041Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:29:52.195455Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b46e4944-e303-42cc-a71c-82788aea63da · inbound

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models cites this paper.

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T04:20:16.572041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 167a9a6d-3db4-4bd0-82b4-31a7a5f1f8e1 · inbound

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery cites this paper.

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T20:18:09.813832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f3ca05-abb0-4d5c-aad2-c1ea4fee6d1f · inbound

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools cites this paper.

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:59.132131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc99d7e-596e-4458-9456-d1fc131591bb · inbound

Kinetic Langevin Diffusion for Crystalline Materials Generation cites this paper.

Kinetic Langevin Diffusion for Crystalline Materials Generation Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T20:15:02.361989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec0214a6-3953-499f-9ed1-04379d60632b · inbound

TopoMAS: Large Language Model Driven Topological Materials Multiagent System cites this paper.

TopoMAS: Large Language Model Driven Topological Materials Multiagent System Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:30.006788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036dc431-a57c-40b4-a443-706f96c321d6 · inbound

CrystalICL: Enabling In-Context Learning for Crystal Generation cites this paper.

CrystalICL: Enabling In-Context Learning for Crystal Generation Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T15:41:53.063690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b15d045a-2e9b-4885-a326-b52ae09c6c1c · inbound

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames cites this paper.

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T07:22:12.998017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 059aee25-814d-4b92-a6bd-2fee5f83697b · inbound

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org cites this paper.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:19.884718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 122e2cd9-5b16-4bba-a770-39459f567f02 · inbound

Conditional Generative Models Enable Targeted Exploration of MAX Phase Design Space cites this paper.

Conditional Generative Models Enable Targeted Exploration of MAX Phase Design Space Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:27.904052Z

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 0c10a850-7ea5-49ac-b95c-d0a50e96b1c7 · inbound

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery cites this paper.

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:39:26.383458Z

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 a84734ce-1753-453e-a2ad-e9665a8901e4 · inbound

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery cites this paper.

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:55:03.169311Z

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 b462e4c0-21fe-49cf-9cee-da7f099fb50d · inbound

General-purpose LLMs as Constrained Crystal Composition Generators cites this paper.

General-purpose LLMs as Constrained Crystal Composition Generators Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:56:11.240232Z

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 3b063a0f-375a-4571-a26a-2064d2400457 · inbound

RamanGPT: Bidirectional Mapping Between Crystal Structures and Raman Spectra with Graph Neural Networks and Generative Transformers cites this paper.

RamanGPT: Bidirectional Mapping Between Crystal Structures and Raman Spectra with Graph Neural Networks and Generative Transformers Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T04:26:35.382563Z

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 0137c573-04cb-4af0-a82e-8711370bafff · inbound

MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science cites this paper.

MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T19:17:18.615533Z

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 2f7419e6-6944-4a3d-abc6-e7e3ac32d314 · inbound

Toward Controllable Catalyst Inverse Design via Large-Scale Autoregressive Pretraining cites this paper.

Toward Controllable Catalyst Inverse Design via Large-Scale Autoregressive Pretraining Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:28:52.439201Z

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 a9daeb84-cecb-43b5-b085-5ff5f9effabb · inbound

Reaction-Network-Level Discovery of Ammonia Synthesis Catalysts via Ten-Million-Scale Generative Exploration cites this paper.

Reaction-Network-Level Discovery of Ammonia Synthesis Catalysts via Ten-Million-Scale Generative Exploration Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:29:52.197028Z

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 c284df78-3aa3-4c35-bc65-586b87451457 · inbound

Reaction-Network-Level Discovery of Ammonia Synthesis Catalysts via Ten-Million-Scale Generative Exploration cites this paper.

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T12:47:53.699751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e295ba9-8624-49b9-bc25-df00cd790734 · inbound

How Well Can Frontier Large Language Models Generate Structures? High Quality Prediction of Molecular Geometries with Help from Fine-Tuning cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T05:29:40.614753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee052e14-d158-49c9-b884-91e5f6bb43e3 · inbound

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning cites this paper.

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T22:02:31.211847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2476302-d6fc-44c5-9d30-b1b116d8d611 · inbound

Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints cites this paper.

Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T15:54:07.687108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.