Paper Citation Record · LEDGER

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2506.05616.

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

pith.paper-citation-record.v1
2506.05616 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:49.152577Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T06:48:44.713745Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T06:50:42.505892Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy19
unresolved20
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc76e04d-5339-4e80-82eb-12cfe16c7c3e · outbound

This paper cites The joint automated repository for various integrated simulations (jarvis) for data-driven materials design.npj computational materials, 6(1):173, 2020.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists The joint automated repository for various integrated simulations (jarvis) for data-driven materials design.npj computational materials, 6(1):173, 2020

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:43.904255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 970b54db-569f-46f6-906d-ebcfd5be179d · outbound

This paper cites Periodic graph transformers for crystal material property prediction.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Periodic graph transformers for crystal material property prediction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:55.158506Z

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 c15e6ccb-a984-433d-82b1-5f7102bf8ae7 · outbound

This paper cites A space group symmetry informed network for O(3) equivariant crystal tensor prediction.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists A space group symmetry informed network for O(3) equivariant crystal tensor prediction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:54.698485Z

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 21e185d5-3ba7-4266-8d9f-f19040cb4816 · outbound

This paper cites Complete and efficient graph transformers for crystal material property prediction.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Complete and efficient graph transformers for crystal material property prediction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:54.369982Z

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 f60bfb92-d8dc-44ad-9e89-b6fc99bf2ea5 · outbound

This paper cites JARVIS- Leaderboard: a large scale benchmark of materials design methods.npj Computational Materi- als, 10(1):93, 2024.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists JARVIS- Leaderboard: a large scale benchmark of materials design methods.npj Computational Materi- als, 10(1):93, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:54.054298Z

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 b9caef80-f63b-4f33-9589-bcf449d7b11f · outbound

This paper cites Crystal structure prediction by joint equivariant diffusion.Advances in Neural Information Processing Systems, 2023.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Crystal structure prediction by joint equivariant diffusion.Advances in Neural Information Processing Systems, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:53.817480Z

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 363f6f4b-b4a3-4711-9a69-8327d38d8dc6 · outbound

This paper cites Crystal structure generation with autoregressive large language modeling.Nature Communications, 15(1):1–16, 2024.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Crystal structure generation with autoregressive large language modeling.Nature Communications, 15(1):1–16, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:44.635884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67e1acf7-3763-4b96-845e-4175cd262e0e · outbound

This paper cites Invariant tokenization of crystalline materials for language model enabled generation.Advances in Neural Information Processing Systems, 37:125050–125072, 2024.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Invariant tokenization of crystalline materials for language model enabled generation.Advances in Neural Information Processing Systems, 37:125050–125072, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:53.415332Z

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 bca6aff4-5a59-4c56-946c-3c98f4934607 · outbound

This paper cites Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:44.920498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a180722-1b75-455a-9f67-f26939cf1817 · outbound

This paper cites LLMatDesign: Autonomous Materials Discovery with Large Language Models.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists LLMatDesign: Autonomous Materials Discovery with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:45.084791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aec5e608-7131-4657-bf12-060a1cf4dd02 · outbound

This paper cites A comprehensive survey of scientific large language models and their applications in scientific discovery.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists A comprehensive survey of scientific large language models and their applications in scientific discovery

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:45.239272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6feb9363-265a-44b8-a9ef-00f00dc11fb4 · outbound

This paper cites Crystal Dif- fusion Variational Autoencoder for Periodic Material Generation.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Crystal Dif- fusion Variational Autoencoder for Periodic Material Generation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:53.123289Z

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 77f702ab-c9c3-4637-9e2e-cfe7d86ef869 · outbound

This paper cites Automating alloy design and discovery with physics-aware multimodal multiagent ai.Proceedings of the National Academy of Sciences, 122(4):e2414074122, 2025.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Automating alloy design and discovery with physics-aware multimodal multiagent ai.Proceedings of the National Academy of Sciences, 122(4):e2414074122, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:45.481308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef35c668-1049-463c-86fd-79285c45e6ae · outbound

This paper cites Osda agent: Leveraging large language models for de novo design of organic structure directing agents.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Osda agent: Leveraging large language models for de novo design of organic structure directing agents

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:52.857769Z

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 c4ceb257-a03b-45f5-9fd4-4b80783c0c57 · outbound

This paper cites Large language models are innate crystal structure generators.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Large language models are innate crystal structure generators

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:52.566196Z

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 0a947563-5116-4e49-8502-ef5c34affe57 · outbound

This paper cites ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:45.826303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0274d988-583c-46f7-abd8-106ea94fdaa1 · outbound

This paper cites DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:45.925451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a43a8e-86f3-4462-8506-a7b5702d50a2 · outbound

This paper cites ChatMOF: An Autonomous AI System for Predicting and Generating Metal-Organic Frameworks.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists ChatMOF: An Autonomous AI System for Predicting and Generating Metal-Organic Frameworks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:46.050939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f44d479-8497-4abb-af64-e8fb46d13244 · outbound

This paper cites Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:46.122802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa45424-b3d9-487f-bd7d-75208b313433 · outbound

This paper cites CRISPR-GPT for Agentic Automation of Gene-editing Experiments.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists CRISPR-GPT for Agentic Automation of Gene-editing Experiments

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:46.226854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 288b3bcf-ae3e-4ae0-89fd-028757032d59 · outbound

This paper cites ChemCrow: Augmenting large-language models with chemistry tools.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists ChemCrow: Augmenting large-language models with chemistry tools

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:46.357068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 996f113d-4076-4dc6-918a-fb37b2c97a4e · outbound

This paper cites Commentary: The Materials Project: A materials genome approach to accelerating materials innovation.APL Materials, 1(1):011002, 2013.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Commentary: The Materials Project: A materials genome approach to accelerating materials innovation.APL Materials, 1(1):011002, 2013

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:52.254389Z

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 c06dabf0-ffe7-427f-a093-dd34bd61dc67 · outbound

This paper cites Benchmarking materials property prediction methods: the matbench test set and automatminer reference algorithm.npj Computational Materials, 6(1):138, 2020.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Benchmarking materials property prediction methods: the matbench test set and automatminer reference algorithm.npj Computational Materials, 6(1):138, 2020

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:46.675088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a83c546-82c8-4b03-a9f8-eded1ed41366 · outbound

This paper cites 3-d inorganic crystal structure generation and property prediction via representation learning.Journal of Chemical Information and Modeling, 60(10):4518–4535, 2020.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists 3-d inorganic crystal structure generation and property prediction via representation learning.Journal of Chemical Information and Modeling, 60(10):4518–4535, 2020

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:46.854817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8569b638-aa6c-4f4c-801f-968784b3a752 · outbound

This paper cites Flowmm: Generating materials with riemannian flow matching.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Flowmm: Generating materials with riemannian flow matching

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:47.033466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50e4e88d-5a3c-43e3-bd75-2678f5862ef5 · outbound

This paper cites Chgnet as a pretrained universal neural network potential for charge-informed atomistic modelling.Nature Machine Intelligence, 5(9):1031–1041, 2023.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Chgnet as a pretrained universal neural network potential for charge-informed atomistic modelling.Nature Machine Intelligence, 5(9):1031–1041, 2023

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:47.152334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b7d9990-6cce-4519-8e4a-22e0d4e8474a · outbound

This paper cites A universal graph deep learning interatomic potential for the periodic table.Nature Computational Science, 2(11):718–728, 2022.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists A universal graph deep learning interatomic potential for the periodic table.Nature Computational Science, 2(11):718–728, 2022

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:47.281647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91a92896-7cee-4aba-b097-6c09ad078661 · outbound

This paper cites Fine-tuned language models generate stable inorganic materials as text.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Fine-tuned language models generate stable inorganic materials as text

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:51.939349Z

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 3357ba3e-1cea-4f90-96d8-5c2bb2b3f331 · outbound

This paper cites Flowllm: Flow matching for material generation with large language models as base distributions.Advances in Neural Information Processing Systems, 2024.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Flowllm: Flow matching for material generation with large language models as base distributions.Advances in Neural Information Processing Systems, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:51.654571Z

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 92fd978c-af97-49f5-be3b-7faaaaf9b21b · outbound

This paper cites Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis.Computational Materials Science, 68:314–319, 2013.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis.Computational Materials Science, 68:314–319, 2013

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:51.269969Z

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 52830e3b-5e98-46a4-b440-0075111b5bde · outbound

This paper cites Smact: Semiconducting materials by analogy and chemical theory.Journal of Open Source Software, 4(38):1361, 2019.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Smact: Semiconducting materials by analogy and chemical theory.Journal of Open Source Software, 4(38):1361, 2019

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:47.948109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3479f4fb-79d5-437b-ac9b-26b533c7fa9c · outbound

This paper cites Python materials genomics (pymatgen): A robust, open-source python library for materials analysis.Computational Materials Science, 68:314–319, 2013.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Python materials genomics (pymatgen): A robust, open-source python library for materials analysis.Computational Materials Science, 68:314–319, 2013

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:48.100921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a03a4fcf-9b77-415c-8601-8560ef2533e7 · outbound

This paper cites Inhomogeneous electron gas.Phys.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Inhomogeneous electron gas.Phys

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:50.988677Z

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 1a92b965-0939-4344-88d1-c1cc1bef6751 · outbound

This paper cites Self-consistent equations including exchange and correlation effects.Physical Review, 140(4A):A1133, 1965.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Self-consistent equations including exchange and correlation effects.Physical Review, 140(4A):A1133, 1965

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:50.627698Z

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 185252c8-d7a5-4d4f-8a35-d5b072e65edb · outbound

This paper cites Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set.Physical Review B, 54(16):11169, 1996.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set.Physical Review B, 54(16):11169, 1996

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:50.365308Z

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 46f4d2a6-c825-4caf-836d-95315fc89ab6 · outbound

This paper cites Generalized gradient approximation made simple.Physical Review Letters, 77(18):3865, 1996.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Generalized gradient approximation made simple.Physical Review Letters, 77(18):3865, 1996

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:50.076987Z

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 76370228-cbda-4214-91a1-75686b980c12 · outbound

This paper cites Beyond the local-density approximation in calculations of ground-state electronic properties.Physical Review B, 28(4):1809, 1983.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Beyond the local-density approximation in calculations of ground-state electronic properties.Physical Review B, 28(4):1809, 1983

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:49.846237Z

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 f8b7fc89-01df-455c-84d2-25aee9963956 · outbound

This paper cites Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:49.022613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6406e239-d079-4aef-9b71-83ed9a8b0b77 · outbound

This paper cites Please predict the stable structure forBa 2Fe2F9.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Please predict the stable structure forBa 2Fe2F9

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:18:49.568542Z

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.

Pith citing papers

Observation bc5fc462-0e66-4575-9251-4ee1efc18732 · inbound

El Agente Quntur: A research collaborator agent for quantum chemistry cites this paper.

El Agente Quntur: A research collaborator agent for quantum chemistry Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:50:42.508305Z

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.