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Paper Citation Record · LEDGER

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2505.15132.

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

pith.paper-citation-record.v1
2505.15132 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:49.448398Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:47.778790Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:33:13.769201Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9291705-1da4-4190-a4e4-d8b19de4ddfa · outbound

This paper cites Brown, and Joseph S.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Brown, and Joseph S

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d07d335f-f260-4124-8574-80eb569b3969 · outbound

This paper cites Drug discovery agent: An automated vision detection system for drug-cell interactions.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Drug discovery agent: An automated vision detection system for drug-cell interactions

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:54.690063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 51fca74d-c8cd-4b9f-a2cb-64b72eb3da64 · outbound

This paper cites Matagent: A human-in- the-loop multi-agent llm framework for accelerating the ma- terial science discovery cycle.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Matagent: A human-in- the-loop multi-agent llm framework for accelerating the ma- terial science discovery cycle

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:54.472655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2bbc1624-6b3d-4e58-afaf-8502da958ea7 · outbound

This paper cites Agentichypothesis: A sur- vey on hypothesis generation using llm systems.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Agentichypothesis: A sur- vey on hypothesis generation using llm systems

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:54.280693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:46.484607Z digest=sha256:2d8d615a76d1fc07205257438857eff4d17408c9240e0db008245c264d880ece

Observation 57c87c3c-8b78-4aa5-8dd9-a8d09fb348e8 · outbound

This paper cites Proteinhypothesis: A physics-aware chain of multi-agent rag llm for hypothesis generation in protein science.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Proteinhypothesis: A physics-aware chain of multi-agent rag llm for hypothesis generation in protein science

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:54.005988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:46.637339Z digest=sha256:e01e76a27a67ceb6c0753836dc314b8b7413db64be6e235fa6dfaf3351cd7bdd

Observation 8fc77b59-5715-4a04-9f3d-13a2176d267b · outbound

This paper cites Cheetham and Ram Seshadri.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Cheetham and Ram Seshadri

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:53.781413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a34e2a30-7641-41e4-88ac-38f9e4e6d191 · outbound

This paper cites Garcia, Marc Botifoll, Oscar Avalos-Ovando, Jordi Arbiol, and Aitor Mugarza.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Garcia, Marc Botifoll, Oscar Avalos-Ovando, Jordi Arbiol, and Aitor Mugarza

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:53.531101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:47.021568Z digest=sha256:09c6c98e6a883a139b5bf04e7b461754eb09a9ba043d5036e1ed965b35e659d4

Observation f05c7cc0-4d20-487b-998c-a785a7481826 · outbound

This paper cites An overview on the role of artificial intelligence in modern advancements of material science.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data An overview on the role of artificial intelligence in modern advancements of material science

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:53.312742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:47.183226Z digest=sha256:4331805e6ea3e7ca24c92b6a09993e794427d51268a2e7dd16cbdbb0277584ae

Observation 897ad838-5027-486a-a9f7-164bfa0ad395 · outbound

This paper cites an unresolved cited work.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:53.082297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 36849934-c963-451d-8cc2-62d85a14ea38 · outbound

This paper cites Grossman.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Grossman

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:52.869271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3e71eafe-6f9f-49db-b50e-66641b55d4ac · outbound

This paper cites The Llama 3 Herd of Models.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data The Llama 3 Herd of Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:47.529917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:47.529917Z digest=sha256:f6022c8457b3b15a4f1773f7bba286afd3ae2d309b29e9ec474cfa204805e7ed

Observation 88c1f8a2-733c-491f-bf63-23655843a03a · outbound

This paper cites Accelerating the design and discovery of tribocorrosion-resistant metals by interfac- ing multiphysics modeling with machine learning and ge- netic algorithms.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Accelerating the design and discovery of tribocorrosion-resistant metals by interfac- ing multiphysics modeling with machine learning and ge- netic algorithms

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:52.618102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:47.620646Z digest=sha256:244b83740ae7d8dc1432ac6eaf7069d577dcc65924c35489fb9e8c3fba615fba

Observation fe0324f9-84ca-4111-8cb5-402c21698043 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:47.683091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:47.683091Z digest=sha256:9ad95cd01c4b2575ba138f2345faae43ccc0d2cd56074c6492785ecf5512ff05

Observation 737520ac-3d62-4845-9390-f0eeddacd57f · outbound

This paper cites Kalinin, Steven R.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Kalinin, Steven R

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:52.400577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:47.774781Z digest=sha256:ebf5d644f6cf4a00e02b08bb1ad7417ea623c7a9fd1986a8942abd3140ce4bb7

Observation fcba02d5-8e46-4c4d-9478-df4d0cd5664c · outbound

This paper cites Langchain v0.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Langchain v0

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:52.135374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:47.854448Z digest=sha256:1377f929cf1cea8131151809e6be7c8c10b9597c92bd32cb9925c1fe60c3d3bf

Observation 9955d272-67b8-4114-936d-c1fd2843c8b1 · outbound

This paper cites Multimodal Foundation Models for Material Property Prediction and Discovery.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Multimodal Foundation Models for Material Property Prediction and Discovery

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:26:49.770208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:47.949315Z digest=sha256:a7a6c0084f6b561a062f0f1af584e919350f551522d5005d92c0a3f1b1f8bc83

Observation 31d3e635-3acd-4865-b8bc-e743f4fcd7d1 · outbound

This paper cites Lu, Thomas Christensen, and Marin Soljaˇci´c.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Lu, Thomas Christensen, and Marin Soljaˇci´c

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:51.933925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d4ec4c92-62a7-48e8-8b43-02b5aebe885e · outbound

This paper cites Doan, Heather Job, Lily A.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Doan, Heather Job, Lily A

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:51.747241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:48.119787Z digest=sha256:970bfe7ea1f13c4f932a5b3fe25ab8f334ffbf4f788e11be8f6ca76ef667f518

Observation 12cc0157-93a1-44e2-90af-7eeab0191d39 · outbound

This paper cites Pyzer-Knapp, Jed W.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Pyzer-Knapp, Jed W

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:51.567249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:48.218155Z digest=sha256:cf5a43a6a1df32a32c5e6f845b98c70bbb6da9a790e40a548f4b19ed8eed0880

Observation 73fcff86-47b8-4363-9f0c-60dcf95f65e3 · outbound

This paper cites Accelerating materials discovery: combinato- rial synthesis, high-throughput characterization, and compu- tational advances.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Accelerating materials discovery: combinato- rial synthesis, high-throughput characterization, and compu- tational advances

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:51.321350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:48.398491Z digest=sha256:0f63a196f7f44e97ee2976ae3c19ae4314014e7832b4041f6f75b84ac9be8c77

Observation 6dc8590a-f47a-461e-8ae3-ac85dd87e3b1 · outbound

This paper cites Accelerating materials dis- covery for polymer solar cells: Data-driven insights enabled by natural language processing.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Accelerating materials dis- covery for polymer solar cells: Data-driven insights enabled by natural language processing

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:51.111273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:48.545070Z digest=sha256:b6bf2bed787d10d98565a247aaa65ddf4926bcc9e267fd0ef07b4b67c0a4a946

Observation 81407b7a-0e82-4c54-91d2-7f60d12afc7b · outbound

This paper cites Consequences of the turing test: Openai’s gpt- 4.5.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Consequences of the turing test: Openai’s gpt- 4.5

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:50.910828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:48.730181Z digest=sha256:a25b472ed2ce1f56ddd345dd4736f37f4a812b0a1f14e84c4e62d97df2098e2a

Observation dfffdca6-d890-44aa-836d-05b7f9e78de0 · outbound

This paper cites Mark, and Herman J.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Mark, and Herman J

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:50.750139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:48.796682Z digest=sha256:2536d55cef1754ee42267647839a64a91f7d64d8ae1f45da07c7981b2e130dfc

Observation b4773aa3-0817-4788-85ab-0856a3cb1605 · outbound

This paper cites A review of mul- timodal explainable artificial intelligence: Past, present and future.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data A review of mul- timodal explainable artificial intelligence: Past, present and future

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:50.592199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:48.863558Z digest=sha256:ffdce18861edf4af356a71f7c2c7166466334e6bd1c0f55e5bb688a2c1bea940

Observation c2730f20-1b78-423c-b30d-8b85e8a8d339 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Gemini: A Family of Highly Capable Multimodal Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:48.932597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:48.932597Z digest=sha256:d1e35a7d942860480af560f4aab3e7e4a420d5de7f103e1f391826a6c548a16f

Observation e8e2cb4a-c69e-4742-8638-263cbc7a31f9 · outbound

This paper cites Lammps-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Lammps-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:50.404464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:49.046225Z digest=sha256:25bdb3a99267512f52641e6957e97d03fda9e6c47dce9f13d7fa8a1b41ff24e4

Observation d713465e-4cd7-4b42-aedb-364e382fc8f2 · outbound

This paper cites Agent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Agent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:49.111696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:49.111696Z digest=sha256:9c4b6a6c95b7bb163ffd915b303e71b47b1ff046dbfd855008af7e97160f926a

Observation 89dd4c6b-44b2-4d9c-bbc8-8298c342de52 · outbound

This paper cites Crystalline material discovery in the era of artificial intelligence.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Crystalline material discovery in the era of artificial intelligence

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:50.197289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:49.188237Z digest=sha256:cb7d8ed50eb783bca0e53e7d9c0e5e4978ebd0027686c0480d29f714945fc19a

Observation b1ade01a-4b86-4e50-be3e-05ca075b238b · outbound

This paper cites Explor- ing high-performance viscosity index improver polymers via high-throughput molecular dynamics and explainable ai.npj, 11(52), 2025.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Explor- ing high-performance viscosity index improver polymers via high-throughput molecular dynamics and explainable ai.npj, 11(52), 2025

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:49.968895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T15:26:49.281673Z digest=sha256:0451c551227a265be4dbf035eb8bcf1309df12d2530e91cf94c06b61e8fc9f54

Observation 73602e7a-d19d-4395-a25d-b129da1d84d8 · outbound

This paper cites Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:49.364874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:49.364874Z digest=sha256:ee0f8e42bcdb6731eccd38d215769cc83d09cb76986d404f95f4c7f89cdaa1a7

Observation 9ff08f52-2071-4364-9b7f-8b11be7f10b3 · outbound

This paper cites 34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery.

Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data 34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:49.448398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:49.448398Z digest=sha256:5917d0e5bcd6d6ef204c68a912f4dc1c7d04da9d3ab2ed3059799a7b33a6501e

Pith citing papers

Observation ff19a147-3baa-4767-b4d5-44f2d95ab478 · inbound

Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems cites this paper.

Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:47.778790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:47.778790Z digest=sha256:5f0f4af9963c1c44829b78998779ab0e9c58e9187290db66c89fd7095299672f

Observation 89126cbc-2f16-4f80-ae8a-2d026da5de6c · inbound

Compass: Navigating Global Marine Lead Data Integration through Expert-Guided LLM Agent cites this paper.

Compass: Navigating Global Marine Lead Data Integration through Expert-Guided LLM Agent Multicrossmodal Automated Agent for Integrating Diverse Materials Science Data

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:33:13.770791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T07:29:35.013051Z digest=sha256:95f5a95a2de48c57380eef30d25ff7987e90668e977eaa779d548f48955fc463