Paper Citation Record · LEDGER

Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2402.04379.

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

pith.paper-citation-record.v1
2402.04379 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 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 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:45:43.670697Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:09:36.527966Z

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 682a013c-bc17-49fc-a206-37e43f2a7703 · inbound

Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design cites this paper.

Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T17:49:14.178794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e6b5a2-f863-44bf-bb97-20796eba7f22 · inbound

Foundational Large Language Models for Materials Research cites this paper.

Foundational Large Language Models for Materials Research Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T16:59:32.810469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e42878e8-42bb-4155-b378-c21a5d77c381 · inbound

CHIPS-FF: Evaluating Universal Machine Learning Force Fields for Material Properties cites this paper.

CHIPS-FF: Evaluating Universal Machine Learning Force Fields for Material Properties Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T15:58:19.861645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73508491-4329-4be5-8593-38552eb0474d · inbound

A Periodic Bayesian Flow for Material Generation cites this paper.

A Periodic Bayesian Flow for Material Generation Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.749121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d27d059d-1917-4d4c-b41e-865bd5ba400a · inbound

Open Materials Generation with Stochastic Interpolants cites this paper.

Open Materials Generation with Stochastic Interpolants Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-09T11:48:43.862069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 929d61ac-8a49-4982-b718-a09143726f31 · inbound

AI-driven materials design: a mini-review cites this paper.

AI-driven materials design: a mini-review Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-09T10:44:02.899043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b028d522-1e2b-4ebd-84fb-2d44eae385a2 · inbound

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery cites this paper.

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-08T12:31:52.243502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6e98df-bede-4612-b4f4-6011307c847a · inbound

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions cites this paper.

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T23:45:43.670697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed007dc-b172-4ca7-b531-bd8ccdb28151 · inbound

Quotient Complex Transformer (QCformer) for Perovskite Data Analysis cites this paper.

Quotient Complex Transformer (QCformer) for Perovskite Data Analysis Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:43:45.875639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d82c15f-1f9b-448e-9494-cfb97c2ced8d · inbound

ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models cites this paper.

ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.922785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b1c1963-7c5c-4d3f-8e39-a69cb69268cf · inbound

Scalable Autoregressive 3D Molecule Generation cites this paper.

Scalable Autoregressive 3D Molecule Generation Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:06.302943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3ab5484-3faf-4a21-9fc6-b28832437ec2 · inbound

CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning cites this paper.

CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:05.327596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d58ceea4-03cb-4088-9c74-dd6d048bebc4 · 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 Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 118

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:59.058119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 206075c3-feef-4c16-bd60-77094d1870d5 · inbound

MBFormer: A General Transformer-based Learning Paradigm for Many-body Interactions in Real Materials cites this paper.

MBFormer: A General Transformer-based Learning Paradigm for Many-body Interactions in Real Materials Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:24.645223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a04d22ea-cfae-4305-9886-0a1960331070 · inbound

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design cites this paper.

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:30:49.239391Z

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.

Observation eaf1d301-4430-4a70-a237-a4e668107d6e · inbound

Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling cites this paper.

Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T14:05:10.029165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd55dae9-a756-4a0f-beb7-d3aaca500ab9 · inbound

Teaching LLMs to Speak Spectroscopy cites this paper.

Teaching LLMs to Speak Spectroscopy Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T20:46:50.020482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93910225-29e5-4306-b647-d001d1b8067d · inbound

Teaching LLMs to Speak Spectroscopy cites this paper.

Teaching LLMs to Speak Spectroscopy Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T20:46:50.126950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcffbac2-c521-4e4e-8541-1cc0bd4ed52a · inbound

Generative AI for Crystal Structures: A Review cites this paper.

Generative AI for Crystal Structures: A Review Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T16:39:48.772559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3fbf31b-6f9f-4f60-abf1-e37086697c90 · inbound

AtomBench: A Benchmarking Framework for Generative Crystal Reconstruction Models in Conventional Superconductors cites this paper.

AtomBench: A Benchmarking Framework for Generative Crystal Reconstruction Models in Conventional Superconductors Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T09:20:54.585149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7616b077-c92d-4542-9d93-01e398746cf9 · inbound

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation cites this paper.

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-03T21:42:03.103083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a7cfeb3-ba6b-439b-8121-9670afa11c46 · 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 Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.292011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c70aaa3e-235f-44fc-90b4-e09b9055e1e7 · inbound

Inverse Design of Inorganic Compounds with Generative AI cites this paper.

Inverse Design of Inorganic Compounds with Generative AI Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 183

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:16:04.845366Z

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.

Observation 8526749a-b648-43a0-aeca-7328755e5f8c · 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 Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:27.910948Z

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.

Observation 3f6e807d-aa3b-4949-bf44-e3ad5eed150f · inbound

Generation of magnetic metal-organic frameworks cites this paper.

Generation of magnetic metal-organic frameworks Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:28.828770Z

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.

Observation 6218d04d-25d4-47eb-86cc-c60883ba69fc · inbound

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 298

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:10.274802Z

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.

Observation c30698f1-fdd6-45dd-954c-a7b1af47f7df · inbound

Scale-Dependent Input Representation and Confidence Estimation for LLMs in Materials Property Prediction cites this paper.

Scale-Dependent Input Representation and Confidence Estimation for LLMs in Materials Property Prediction Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.585028Z

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.

Observation e45ad552-8589-4745-8c89-9d53c71bc03e · inbound

CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation cites this paper.

CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:52:40.104677Z

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.

Observation 0ba7cb3b-0a67-4e0c-b8b0-8b2c49ba8f34 · inbound

Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement cites this paper.

Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:35:46.609787Z

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.

Observation 5d00c24d-5450-4693-81cc-d84d5c413dd4 · inbound

Composable Crystals: Controllable Materials Discovery via Concept Learning cites this paper.

Composable Crystals: Controllable Materials Discovery via Concept Learning Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:55:05.879383Z

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.

Observation fe7b2354-9e4f-4b61-965a-f86e60a31ff8 · inbound

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

General-purpose LLMs as Constrained Crystal Composition Generators Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:56:11.232800Z

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.

Observation cad46a09-9265-436f-936f-67f3d2e48084 · inbound

LLM-Guided Test-Time Discovery of Quantum-Chemical Approximation Algorithms cites this paper.

LLM-Guided Test-Time Discovery of Quantum-Chemical Approximation Algorithms Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.163532Z

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.

Observation 86f1aacb-f1f8-474d-8743-1b3d10037cb8 · inbound

Atomistic Language Models Understand and Generate Materials cites this paper.

Atomistic Language Models Understand and Generate Materials Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:09:36.529777Z

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.

Observation 50f8f026-7135-4481-bd88-065caa1cd946 · inbound

VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python cites this paper.

VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 253

Resolution: unresolved; no resolver link, observed 2026-07-11T16:17:26.963678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.