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Paper Citation Record · LEDGER

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems

As of 11 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 inbound Pith citation observations for arXiv:2606.06525.

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

pith.paper-citation-record.v1
2606.06525 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:14:35.191915Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:21:03.463803Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c684f703-aa6b-4e71-a402-3a70d716db38 · outbound

This paper cites Multi-agent large language model framework for code-compliant automated design of reinforced concrete structures.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems Multi-agent large language model framework for code-compliant automated design of reinforced concrete structures

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-28T07:14:35.191915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:5f287533563fcdf9ce1e938c1d4250acfc1d9d939bb31a46521b0b0aed366b7f

Observation 0fa7c2b3-f68f-45df-bfcd-79be9c0b3b9a · outbound

This paper cites Empowering LLMs with Logical Reasoning: A Comprehensive Survey.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems Empowering LLMs with Logical Reasoning: A Comprehensive Survey

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:56:44.807281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:14f2e5ae5829d1da10d36785a2af429172b0d59a988e4733e1b2004493d60c9a

Observation ea854ba5-f32b-4384-8a68-2ffe659686e6 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-02T06:56:44.809957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:1e8eb2d2dee3ccd28a18312db83cfc0e2c2adcb22b8f47a46cac64346e9919d9

Observation 67bbd5b8-460c-494e-b671-015046468eec · outbound

This paper cites A novel multi-agent architecture to reduce hallucinations of large language models in multi-step structural modeling.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems A novel multi-agent architecture to reduce hallucinations of large language models in multi-step structural modeling

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:56:44.812732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:72374ffe66203758c463f0ad02ce6fef966ca75ec3d7e7df22aa83d42a5f932a

Observation 0eb1a033-e2ff-4f6d-9779-edcc88ac191b · outbound

This paper cites A lightweight large language model-based multi-agent system for 2d frame structural analysis.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems A lightweight large language model-based multi-agent system for 2d frame structural analysis

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:56:44.815130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:d041bd0acbde85fdc55537a7dabfc2da19894ecd48b92c39d5d14bc5d34d613d

Observation 51463779-7681-4336-91a2-d1b1c4b6be28 · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems Livecodebench: Holistic and contamination free evaluation of large language models for code

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T07:14:35.191915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:3a66d9d2d7a4e1d747603e07ce7040e0148dfd022042b6dae0ca881b19ca507b

Observation 7ff9305f-59dd-478a-ad52-1f59b37f6e4f · outbound

This paper cites Integrating Large Language Models for Automated Structural Analysis.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems Integrating Large Language Models for Automated Structural Analysis

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:56:44.817656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:ba1905d3396599d5a4d58f53c1f9e94974a85ac3e2703ccaff3579b1500f3c33

Observation d8fecb4d-3861-4643-a216-6d8796f42427 · outbound

This paper cites Gsm-symbolic: Understanding the limitations of mathematical reasoning in large language models.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems Gsm-symbolic: Understanding the limitations of mathematical reasoning in large language models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-28T07:14:35.191915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:c5b58dfd1916fe765b0d7168d051c06707c9d0f9888b6f471ef020d1c9aa6d41

Observation c45c14b5-bde1-4e58-9c4b-31d8f27b545a · outbound

This paper cites Infobench: Evaluating instruction following ability in large language models.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems Infobench: Evaluating instruction following ability in large language models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-28T07:14:35.191915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:2cc1ef3e9e726cbdb4dc6693c119020c13c79f4a536e6674ca45a056a80861ad

Observation a8185165-779e-4295-814f-d73aeeeb456a · outbound

This paper cites SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-08-04T01:49:12.512413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:4a019043ff26127e38cb14ff7685d02f5c315ef901b1d86ec11d8bf8da7dcfff

Observation 55013d77-d513-4a55-b400-60d41a85e47e · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:06:43.634538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:f3a2e1d11b8471079e050eaf999063954676dc92650082846971114ee190eefe

Observation 4db51fc9-0930-4736-8c53-6afadf60b487 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems ReAct: Synergizing Reasoning and Acting in Language Models

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:06:43.631443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:ff7c63d350a69703858587e2e59e55b27c5b9e706384cb8a7bb3afdc8a7e5bb7

Observation 4fc5be23-94b9-4679-84cb-3dc28ebc9208 · outbound

This paper cites Evaluating large language models at evaluating instruction following.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems Evaluating large language models at evaluating instruction following

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-28T07:14:35.191915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:14:35.191915Z digest=sha256:206e651975900e86f19462404c77d73badbbb269700786be52e3b18028872c0c

Pith citing papers

Observation e1358c1f-6159-4c45-ac0d-c4ff17781548 · inbound

StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows cites this paper.

StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T00:49:38.756206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:49:38.756206Z digest=sha256:b52eedbf58d676feff7dcdda922b5b72dfd0990edb2d6a979a64d67ec24da324

Observation 03161fa0-0f30-4ed8-a19c-5393b864fb3a · inbound

StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows cites this paper.

StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T04:21:03.463803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:21:03.463803Z digest=sha256:703f351b032c7150c586177fcc75323c88c35aa5c5859f1fe03bd2e7cf08779a

Observation 0994d278-df4c-4de4-91a6-e6ab26ddc2ad · inbound

Automating structural reliability analysis with a multi-agent large language model framework cites this paper.

Automating structural reliability analysis with a multi-agent large language model framework Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T20:36:54.425013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:36:54.425013Z digest=sha256:37da76b26a73889b19be0f47aafa45b0fb4c36bc00994a04b809ecfe625a9e40