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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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
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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

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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:bc162f610ceab7aeb1e2d1656a45843561ab9d126e9b1f2a2b0095972f860128

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

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

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source=arxiv_source observed=2026-08-07T05:36:38.430016Z digest=sha256:f295d1a7f7763b97193b1a6e04567a699e857503d54bf2b2cbcd609448973092

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

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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=sha256:99bc3ecf70d6064600b3fb2d72aaaaeb8358531f6d335fa01ee6da6e9ea6d492

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

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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=sha256:61f3f72928c746a656dd9e038ccdd4399d98e2416b045dca0cf04c7d79465ffc

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

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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:ad82795ac799b330d8d7055c64f896ecac84933b68c7c6b431ea839276a91c31

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

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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=sha256:485a842d1895eec7e8d06940aeeb5421a5dd6d3103b3f0895ca9ad39570675b0

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.463988Z digest=sha256:c40d594fa513cfd5880be7d964b5adac79d3bc949d6d6a674aeaece3bc9c6f20

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.468162Z digest=sha256:ab91de4167736c5623d0047d06d9259e8b8bffb01202e6335332502f7ca29978

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

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

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Unavailable: canonical work link unavailable.

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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

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Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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

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Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.496319Z digest=sha256:1feebe90ae60b952c1ce8050a4f94c03bf7710a0bc48ba27eedaaac20927d2d8

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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

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Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.515416Z digest=sha256:4f46b1c30c2f0a4def032574d04358ea5a53516bab004b2554ccee7529e4b643

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

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Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:36:38.522866Z digest=sha256:32717abbe0ad192c1aed6d85888fa4c280dc8f8153794a4452aa881e768c3f0e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:36:38.530255Z digest=sha256:311b77378f2df607b26e0e8666e666f8e5681c753fc0ce73b1c01cd2ab7330a2

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:36:38.534103Z digest=sha256:4da742472f02218b75e995ed4bde14ee305abeadea2dcc80f8b50dffd29c57c7

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.545811Z digest=sha256:f799ab272a9085aee6dd50f5ff144f4486ab83931d6a05f8ed94a1b5d5123569

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.553844Z digest=sha256:160a348ed0a61682acc6b4567097009f171369e3875ed45e8d822d5e527317ee

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 2026-08-07T06:34:17.273281+00:00.

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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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T19:59:59.030585Z digest=sha256:c0d69dcb77cc6db75b3cd895a5ff5a581abc2431480b9467aa8beb176b4c3ae3

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

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