Pith. sign in

Paper Citation Record · LEDGER

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 4 inbound Pith citation observations for arXiv:2506.07551.

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

pith.paper-citation-record.v1
2506.07551 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:36:38.553844Z

measured 36 of 36 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T19:59:59.030585Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:03:14.067437Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fa61415-23f2-41e9-90c3-ad733b76f20d · outbound

This paper cites online" 'onlinestring :=.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.425026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.425026Z digest=sha256:80389d9fe7de9d46a7839c6431252a74fb3f7f3fc78560b3c64df4ef5afecc05

Observation c3f9adec-64f9-4bfc-9bcb-c2cbdb5605e8 · outbound

This paper cites write newline.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.430016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.430016Z digest=sha256:4ea54637c77c5f2e044125781348a295aa4ee07b35042c182a0b2e2ceda0684c

Observation 7e9bdfdf-bb64-4078-92a4-00fb1c15fca3 · outbound

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

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning ChemCrow: Augmenting large-language models with chemistry tools

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.435251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.435251Z digest=sha256:835512052d320327d293eb7ad30ce8f01e7fde6ec2bb086f11340ca02941d0c9

Observation 7fb1b3b2-3966-48c9-8a02-100d9ca0a134 · outbound

This paper cites AlphaMath Almost Zero: Process Supervision without Process.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning AlphaMath Almost Zero: Process Supervision without Process

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.439633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.439633Z digest=sha256:192afb4d7cac8cf8ee38f37957728dfbff10ed868c5925ec8f8ca8dea7a93bc0

Observation 6749814d-8a1e-4756-9cbc-f9935e3b72cf · outbound

This paper cites Step-level Value Preference Optimization for Mathematical Reasoning.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Step-level Value Preference Optimization for Mathematical Reasoning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.444011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.444011Z digest=sha256:2fd5537830602e7cb68d9878a4ad395f08151840e18fbae735df3ad943bf2b41

Observation 4d2b0781-7db6-4310-9805-80c3334eb3b5 · outbound

This paper cites Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.448589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.448589Z digest=sha256:172fec00fa7e35a970adcdd52dca17cea1048289ef1ae674b769f2e872407c1c

Observation e564b846-5090-48b1-b5a7-89c1221a171c · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:36:38.938447Z

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.

source=arxiv_source observed=2026-08-07T05:36:38.453029Z digest=sha256:fa52e3ab1d46e690168ba031de0373c3dd1765ec93ab4640569c189ff5a6b378

Observation 0da45375-e220-4b6c-95dc-0e0420d0fe49 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:36:38.926495Z

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.

source=arxiv_source observed=2026-08-07T05:36:38.456758Z digest=sha256:4ecccb4cf2704ace91a22d090d8ab422cde6272bc09f109dff915dc11a94c952

Observation 9eff5e91-bc85-4965-9883-3ce7a5fdba20 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.463988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.463988Z digest=sha256:e2522cb1dd65d2404bb308494230a1b3100da6b89c0d95fddff7a407c31c13c8

Observation 2ae2162b-0915-4a39-a61f-90a6cbe0a9e6 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.468162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.468162Z digest=sha256:16c54dcbc626529dc7f385a683b933165380eadf04b4a136ae28e0cf2ef43d09

Observation fa4fea09-037c-41b0-8fcd-2fbc317e8b33 · outbound

This paper cites ToolACE: Winning the Points of LLM Function Calling.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning ToolACE: Winning the Points of LLM Function Calling

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.471805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.471805Z digest=sha256:ea55861a1620730c9d7d98966574809ca58f421c556c712570d2cb0988931a47

Observation 008824c8-22af-465e-b9da-1889061d475b · outbound

This paper cites SciAgent: Tool-augmented Language Models for Scientific Reasoning.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning SciAgent: Tool-augmented Language Models for Scientific Reasoning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.476164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.476164Z digest=sha256:680a26e07fcb25b9c29418eedb3e1f53bc28acecc5ce1c9011d743d41c7a66c2

Observation 821a0e5b-f6af-4e80-ad84-040dafc2f80f · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:36:38.897878Z

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.

source=arxiv_source observed=2026-08-07T05:36:38.480455Z digest=sha256:e136bd4b846295125ee980d5b9697773738c50454f05ca3510bd5949cc331e58

Observation d6ad93f0-ed03-42c1-8c78-34292629a74e · outbound

This paper cites Are large language models superhuman chemists?.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Are large language models superhuman chemists?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.484334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.484334Z digest=sha256:98f1df8387884aba247b1636d6d03d7fab047d9803f609386dcd3df21bd79ea7

Observation 4094886c-2a7c-47ba-9d7a-5745ca6fdef2 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:36:38.885576Z

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.

source=arxiv_source observed=2026-08-07T05:36:38.488441Z digest=sha256:5156c5b152b20a7f385ac37135bd27713a40c7ddc9581a33fa5a96d9d5b45c6b

Observation 4be20cc7-efe2-4cb4-b65d-6fcfd04b3340 · outbound

This paper cites TALM: Tool Augmented Language Models.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning TALM: Tool Augmented Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.492190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.492190Z digest=sha256:7c28170cea9b7a84a66a80aac496a92841aea6689167d7fc592c131c2126dbe9

Observation 4f75fb25-5ff3-4456-b314-87b9737e41c2 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.496319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.496319Z digest=sha256:9b6d91f75558a85311f471b481c570de43af8b37089ace498df246292e3cd68d

Observation bb137789-58a3-4a52-83ec-760aabb2ba38 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:36:38.865156Z

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.

source=arxiv_source observed=2026-08-07T05:36:38.500030Z digest=sha256:21298e7c3a2c8e05c398f694029f47ab74dd7e777efa2693aa4e1b8fd1a21005

Observation e19a717f-137b-45cd-9208-df3e05dcdf37 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.503741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.503741Z digest=sha256:735eb32462c5ddfdd80b874cb3656a4968789228bc7016582c84087f292b8415

Observation 533f05f2-74e3-42f6-8022-b46fcbcba3cd · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.508124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.508124Z digest=sha256:0e3948c869c562c67e50cd5dc977b9a79edc9168ed199bcbe360c2b1e56251cc

Observation fb55c5dc-9e9c-4101-9601-ebb57effaef0 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.511792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.511792Z digest=sha256:3906205548ba21e636f0c85888f26124e2ffc236d441a9ed6f5247b10b068c07

Observation 98ead9c6-adf8-492c-8c7a-f815740e7be1 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.515416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.515416Z digest=sha256:78008b7aca79a9bd8df73081374817b878c0f5cfd686db25c4907b4e3cdace44

Observation b1d07fc9-dfce-45c5-b05b-89e707818a25 · outbound

This paper cites Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.519062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.519062Z digest=sha256:cc54f92b5c5cf78c6ec006c41a6014101fdf1be60a5a874defddac464402e97e

Observation 67ea7c53-6ee1-4b7d-9d01-e18c8c9dc127 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:36:38.826647Z

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.

source=arxiv_source observed=2026-08-07T05:36:38.522866Z digest=sha256:6fd05a6f8747f91b306d7d8e27a0df9e264599198b40f5fc0e54a76162ddfc0f

Observation d1842d38-4d20-4eaf-b30f-ad7df9642cbf · outbound

This paper cites Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.526625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.526625Z digest=sha256:c8726492d21171c9d4fa56baaacab6df440073b25f656ee5bd83bcfde387cab4

Observation d4638f2d-81d5-4656-ab65-e86ab00bd447 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:36:38.814535Z

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.

source=arxiv_source observed=2026-08-07T05:36:38.530255Z digest=sha256:dd310414ca65b1a31f78f1ffe30c8498f7840094e72a80cb11f0d5c4daeb4f8b

Observation 4f6ed27f-4bcf-4d03-b5bc-bab35f589752 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:36:38.802243Z

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.

source=arxiv_source observed=2026-08-07T05:36:38.534103Z digest=sha256:44403c256e217e41abf64c35b16b41c3f4767890d26c3ba630a367c25a8a3f53

Observation ec8bc062-8b9a-4b93-bb92-c2e70f8962be · outbound

This paper cites ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.537984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.537984Z digest=sha256:1145e013e7cdfbf9e490d6d8849062e1583f181b083837442b43a2c3eade2cb2

Observation db2f15d3-b06e-4d1e-9316-1509b0dd5af5 · outbound

This paper cites an unresolved cited work.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:36:38.789984Z

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.

source=arxiv_source observed=2026-08-07T05:36:38.541783Z digest=sha256:24692e56da600794746b0f3538ac0b612d7a00ff71e31dfabc8e29412b3d64fb

Observation cc91fd04-9f02-4dc1-80dc-a1c9320020f8 · outbound

This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.545811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.545811Z digest=sha256:c883511a05200dcdd1579b8e66bb79cdfb21307d1406b6332e5b594bf67ea8a1

Observation 9d862298-055d-4673-a2dc-59e6d51dc354 · outbound

This paper cites ChemLLM: A Chemical Large Language Model.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning ChemLLM: A Chemical Large Language Model

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.549855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.549855Z digest=sha256:9a7a9f86d2027aa2dadf896ed4352e126927947bc0923df3c57c2f864ac73022

Observation a660e78a-0202-4906-8be5-b681e90e036b · outbound

This paper cites Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.553844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.553844Z digest=sha256:1b1aad82291d789b3e1b0abf1a081763ded648c3ecf11318ad511d57b9c96500

Pith citing papers

Observation e29364c4-79eb-4d9e-be16-4fb19024d279 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning

Reference 295

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:13:16.053291Z

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.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:20bb68a0bf09c01f87bc02f28966de6fab2363982a54a24f6665d46d06a87d00

Observation c5a66fee-8e5a-4d1c-9dcf-9eca83d7ccbf · inbound

Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents cites this paper.

Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-14T19:59:59.030585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T19:59:59.030585Z digest=sha256:a0dc3d0aadc9aa5fbc19913f1193bb25d413662d496c5294ea0838affc4f2c3b

Observation 84d0d05d-2107-4762-b0dd-82c363cc83dd · inbound

Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost Reasoning cites this paper.

Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost Reasoning CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:45:51.808815Z

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.

source=pdf_text observed=2026-05-11T01:29:47.384341Z digest=sha256:11ed4f56531467b07b71edd30c4ef3c202ba6184d602167f6257c8cc31a5b2a0

Observation 7c8dee44-d09b-436f-86e9-14733ad50f1c · inbound

Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation cites this paper.

Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:14.068920Z

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.

source=pdf_text observed=2026-06-29T07:59:51.128422Z digest=sha256:4dcb98c4f5737b19b4a7655a2e0f9dc17fc32800a208d4300a01fb9b296bff6b