Paper Citation Record · LEDGER

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization

As of 13 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2507.16110.

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

pith.paper-citation-record.v1
2507.16110 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:23:51.813554Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T12:08:10.552789Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

52 of 52 outbound references displayed

verified exact1
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External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 25121a75-2e56-4cdb-9b22-51c83724e214 · outbound

This paper cites Highly accurate protein structure prediction with AlphaFold.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Highly accurate protein structure prediction with AlphaFold

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:24:02.929088Z

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Observation f3bbf738-0e70-4668-b75f-e74519fee1d7 · outbound

This paper cites Probabilistic weather forecasting with machine learning.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Probabilistic weather forecasting with machine learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:24:02.640821Z

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Observation 12e2adab-70c6-420c-ad96-575966921416 · outbound

This paper cites T., Lee, S.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization T., Lee, S

Reference 3

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Observation 8a2fce9f-5257-4c81-816a-140399df2b64 · outbound

This paper cites & Viswanathan, V.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Viswanathan, V

Reference 4

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Observation d942bc20-5650-48a5-8d64-2e1224c9a3a5 · outbound

This paper cites Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials

Reference 5

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Observation 9f0dea77-5f23-43f9-91e2-d3f06052f300 · outbound

This paper cites S., Aykol, M., Cheon, G.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization S., Aykol, M., Cheon, G

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:24:02.375733Z

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Observation a011fe07-7903-440e-a836-a8d224681b6f · outbound

This paper cites A., MacKnight, R., Kline, B.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization A., MacKnight, R., Kline, B

Reference 7

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Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Unresolved cited work

Reference 8

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Observation 998f963f-08be-4727-95b6-6ae4031894cd · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 9

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Observation b50e4596-a1d1-4273-805a-6f083e2b8d64 · outbound

This paper cites OpenAI o3-mini System Card 2025.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization OpenAI o3-mini System Card 2025

Reference 10

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Observation 2c5bb00e-e42e-4993-97cc-f8094071d98b · outbound

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

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

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This paper cites Gemini 2.0 Flash Thinking https : / / deepmind.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Gemini 2.0 Flash Thinking https : / / deepmind

Reference 12

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Observation fd1c8223-bde0-4ef8-879c-2d863f5a5516 · outbound

This paper cites & Xiao, C.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Xiao, C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:24:00.971114Z

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Observation d59fcafc-0487-43f0-80c5-00685df33b90 · outbound

This paper cites Towards an AI co-scientist.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Towards an AI co-scientist

Reference 14

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Observation 1063257d-f493-4052-bca6-782cbb151673 · outbound

This paper cites & Anandkumar, A.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Anandkumar, A

Reference 15

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Observation 80d89947-4d0e-4bd6-91e4-a6af5fae2366 · outbound

This paper cites & Anandkumar, A.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Anandkumar, A

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:24:00.450076Z

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Observation edfd54af-1076-4c39-b529-904e705fa07d · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization LoRA: Low-Rank Adaptation of Large Language Models

Reference 17

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Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Unresolved cited work

Reference 18

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Observation c2bf56d4-0654-4b91-b3e0-a6c34f99d488 · outbound

This paper cites I., Kasim, M.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization I., Kasim, M

Reference 19

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Observation 57f0603e-2fe0-43f4-84b9-a9cdf01d7205 · outbound

This paper cites & Bloom, I.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Bloom, I

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:59.916245Z

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Observation cfe78a59-cf79-4ff0-9db0-df6751133156 · outbound

This paper cites & Rehme, S.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Rehme, S

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:59.635449Z

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Observation c70238d3-1f89-4978-9692-eca7903672d2 · outbound

This paper cites P ., Hautier, G., Chen, W., Richards, W.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization P ., Hautier, G., Chen, W., Richards, W

Reference 22

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Observation 19c1c72d-67e2-4b04-8a3f-a22d68d48755 · outbound

This paper cites R., Zanin, H., Monteiro, R.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization R., Zanin, H., Monteiro, R

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:59.090357Z

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Observation 81081307-1298-49fa-aa70-8dc34d58df0c · outbound

This paper cites & Cadars, S.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Cadars, S

Reference 24

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Observation d0a7489b-8baf-4238-9565-9b009f42f969 · outbound

This paper cites & DeCost, B.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & DeCost, B

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:58.493581Z

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Observation e80e16f2-30b8-4130-be1f-23e36c4a1b3a · outbound

This paper cites Machine-learning interatomic potentials for materials science.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Machine-learning interatomic potentials for materials science

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:58.147846Z

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Observation 66679e08-ef73-4e1a-9f22-5087bc8a3b70 · outbound

This paper cites an unresolved cited work.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Unresolved cited work

Reference 27

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Observation 2e83dbdc-9474-406b-afbe-52bdfe27efed · outbound

This paper cites V ., Thompson, A.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization V ., Thompson, A

Reference 28

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Observation 6b30d088-01de-4838-9d21-615b65bdac3a · outbound

This paper cites & Ong, S.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Ong, S

Reference 29

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Observation b9d785f9-ba8d-4716-a181-3707f8b6870a · outbound

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Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Unresolved cited work

Reference 30

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Observation 3824ca0d-edc3-4c5d-820c-4c3b8e305aa0 · outbound

This paper cites A foundation model for atomistic materials chemistry.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization A foundation model for atomistic materials chemistry

Reference 31

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Observation 42b43f51-b1f2-48bd-8880-94a985e6badd · outbound

This paper cites P ., Jha, G., Youn, D.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization P ., Jha, G., Youn, D

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:57.298969Z

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Observation ed9c2be3-da24-4e35-a147-0c47307a6ef4 · outbound

This paper cites C., Wiseman, P.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization C., Wiseman, P

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:56.988409Z

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Observation 562943d5-9419-419a-b838-dc7a8395ebf9 · outbound

This paper cites & Goodenough, J.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Goodenough, J

Reference 34

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Observation 64bfe9e6-ebcd-4091-a41e-7d2cb447a504 · outbound

This paper cites & Bengio, Y.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Bengio, Y

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:56.444164Z

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Observation 92219619-96e2-46a9-9320-667cbfdd996f · outbound

This paper cites F., Ekbote, C.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization F., Ekbote, C

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:56.205535Z

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Observation 56b21c43-5ed6-4f2b-9634-c78255acb9eb · outbound

This paper cites & Bengio, Y.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Bengio, Y

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:55.954319Z

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Observation 77c3cef4-dff3-4a98-a0c0-2aaa0ec69e0b · outbound

This paper cites J., Jain, M., Elmoznino, E., Kaddar, Y., Lajoie, G., Bengio, Y.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization J., Jain, M., Elmoznino, E., Kaddar, Y., Lajoie, G., Bengio, Y

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:55.620360Z

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Observation 288b9bbe-5361-480a-8ea5-db7f2b96ec50 · outbound

This paper cites an unresolved cited work.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:23:55.397682Z

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Observation a07773e0-d3ae-4744-ab95-e62875e3cd4f · outbound

This paper cites an unresolved cited work.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:23:55.103711Z

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Observation 188df9a7-25d5-4a4c-93e5-b03280560395 · outbound

This paper cites & Hou, J.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Hou, J

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:54.817149Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bd36580-0263-47eb-a081-73308d298180 · outbound

This paper cites A., Chen, J., Ding, Z., Marie, J.-J., Juelsholt, M., House, R.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization A., Chen, J., Ding, Z., Marie, J.-J., Juelsholt, M., House, R

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:54.602939Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf085815-0014-408f-988a-2240aedd118f · outbound

This paper cites S., Widiyandari, H., Purwanto, A., Arif, A.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization S., Widiyandari, H., Purwanto, A., Arif, A

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:54.394231Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fa6da4fa-a891-4862-85c0-fd8ec2df7ae5 · outbound

This paper cites & Wen, C.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Wen, C

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:54.151333Z

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Observation 7e68b289-b491-42eb-a3e0-6bd3931c8b30 · outbound

This paper cites & Jiaqiang, E.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Jiaqiang, E

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:53.903781Z

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Observation 10436944-f5a3-470e-ae64-662be164d5b5 · outbound

This paper cites & Salavati-Niasari, M.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Salavati-Niasari, M

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:53.632800Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bce09622-22e6-48fe-a042-ca461d9c9f44 · outbound

This paper cites & Sainio, T.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Sainio, T

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:53.413442Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5e6c24d7-6e9f-4429-8de5-2f789300ffca · outbound

This paper cites Ultra-thin Fe3C nanosheets promote the adsorption and conversion of polysulfides in lithium-sulfur batteries.Energy storage materials18, 338– 348 (2019).

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Ultra-thin Fe3C nanosheets promote the adsorption and conversion of polysulfides in lithium-sulfur batteries.Energy storage materials18, 338– 348 (2019)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:53.167806Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57a2a6e9-dd4a-4411-80fa-b3c825c00b95 · outbound

This paper cites & Kuang, Y.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization & Kuang, Y

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:52.924915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d5a782ec-6d9d-4414-90b2-8f5eafe437ed · outbound

This paper cites Ampere-hour-scale soft-package potassium-ion hybrid capacitors enabling 6-minute fast-charging.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Ampere-hour-scale soft-package potassium-ion hybrid capacitors enabling 6-minute fast-charging

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:52.664768Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b87ffac-0c8a-4ab9-ae15-5250b8771a5f · outbound

This paper cites an unresolved cited work.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Unresolved cited work

Reference 1901

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:24:01.807982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10468151-c04c-47bf-a70f-7e9d4057d244 · outbound

This paper cites an unresolved cited work.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization Unresolved cited work

Reference 6454

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:23:52.119978Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation fea5215c-6ca8-4b11-8a17-5977787e60eb · inbound

Matter to Mechanism: A Benchmark for AI Co-Scientists in Materials and Battery Research cites this paper.

Matter to Mechanism: A Benchmark for AI Co-Scientists in Materials and Battery Research Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-28T12:12:07.846874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.