Paper Citation Record · LEDGER

HoneyComb: A Flexible LLM-Based Agent System for Materials Science

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2409.00135.

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

pith.paper-citation-record.v1
2409.00135 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:54.731892Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2b790e1f-a0a3-4ceb-800b-7d14aee5451b · inbound

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis cites this paper.

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:45:47.144574Z

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.

Observation 920559ef-6977-458b-aaaf-1ca8223bba36 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 141

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:57:38.517412Z

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.

Observation 325b94a7-ba57-4f10-b351-431228a97d3f · inbound

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning cites this paper.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:54.731892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3955247d-bc47-40b9-9549-d521278cb1f0 · inbound

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools cites this paper.

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:51.422557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 558d0611-f1d5-4c80-9341-83f7fd54042a · inbound

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving cites this paper.

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:47.203410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f542d3c-5cfb-4f1f-8570-c60b2f443db8 · inbound

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design cites this paper.

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:30:49.212157Z

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.

Observation 506ffbb7-b9b1-403a-abb8-7f71ca70b124 · inbound

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra cites this paper.

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 39

Resolution: malformed identifier; arxiv_id, observed 2026-05-21T23:20:45.257137Z

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.

Observation 076adc81-e2fb-4956-b1ad-b351ef410002 · inbound

Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization cites this paper.

Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 2020

Resolution: malformed identifier; no resolver link, observed 2026-08-04T19:25:50.080180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00114ee4-27a5-49e3-a9f6-f97890bfaab6 · 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 HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 297

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:16.068209Z

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.

Observation f196e015-daa5-4566-9ce6-30ed547dd89f · inbound

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations cites this paper.

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T14:45:41.515515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7506b1fd-1c02-4611-9409-9f424f40f6a8 · inbound

ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods cites this paper.

ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:51:05.266070Z

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.

Observation ec13e380-9ce2-4cd7-b502-025a70abeaaa · inbound

SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data cites this paper.

SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:26:26.158979Z

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.

Observation bfc627ef-f456-47cd-a77f-2f69cf2fed4c · inbound

SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science cites this paper.

SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T10:38:12.051234Z

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.

Observation cdc1b42e-8db6-43d4-b039-d1456142bc79 · inbound

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:31:07.405701Z

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.

Observation 3756b274-62da-4b45-a288-253903f62964 · inbound

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T12:03:26.563246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.