Paper Citation Record · LEDGER

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models

As of 4 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2604.09866.

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

pith.paper-citation-record.v1
2604.09866 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:37:10.660530Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:49:38.866083Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact11
verified fuzzy4
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7e53370-1180-46d3-946d-1dfe1583afab · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models gpt-oss-120b & gpt-oss-20b Model Card

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-11T08:30:56.727750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 84c7704e-3bcf-4613-8135-f58ccca1b1c1 · outbound

This paper cites Version: 4.1.0 (accessed 2026-01-19).

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models Version: 4.1.0 (accessed 2026-01-19)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T14:29:46.205979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2f496597-4d4b-4791-ad0e-954eb49685e5 · outbound

This paper cites Is gpt-oss all you need? benchmarking large language models for financial intelligence and the surprising efficiency paradox.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models Is gpt-oss all you need? benchmarking large language models for financial intelligence and the surprising efficiency paradox

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.721194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5f08745b-8c5d-425a-b20b-db10f0661549 · outbound

This paper cites Evaluating long-context reasoning in llm-based webagents.arXiv preprint arXiv:2512.04307.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models Evaluating long-context reasoning in llm-based webagents.arXiv preprint arXiv:2512.04307

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.735329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 08a7cc6e-aec9-4da6-ba6f-d8e7dba82b8a · outbound

This paper cites BIMgent: Towards Autonomous Building Modeling via Computer-use Agents.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models BIMgent: Towards Autonomous Building Modeling via Computer-use Agents

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.731186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ab5f5ae9-bd63-49e3-badb-6dd0737acff6 · outbound

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

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models A novel multi-agent architecture to reduce hallucinations of large language models in multi-step structural modeling

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.717541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e1955035-6896-4ba4-9ca0-a04d195c78ba · outbound

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

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models A lightweight large language model-based multi-agent system for 2d frame structural analysis

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.724718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c05fdce1-2506-422d-a117-cb509b1138a3 · outbound

This paper cites Accessed: 2026-01-06.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models Accessed: 2026-01-06

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T14:29:46.201691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8546198c-6e5a-4bd3-9a79-ae8e35cee667 · outbound

This paper cites A Survey on Large Language Models for Code Generation.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models A Survey on Large Language Models for Code Generation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:18:07.016071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0ed4f998-cf91-4848-84b2-9e0a8160cb02 · outbound

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

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models Integrating Large Language Models for Automated Structural Analysis

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.742682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 681228fa-cbea-44e9-a145-e00f859657b3 · outbound

This paper cites 2501.15089 , archivePrefix=.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models 2501.15089 , archivePrefix=

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:30:56.761082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ae72668c-5d33-41de-8706-2c0cc9204697 · outbound

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

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models ToolACE: Winning the Points of LLM Function Calling

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:30:56.754279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation db1c2502-a6a9-48ea-8d4a-fa5851fa8753 · outbound

This paper cites Toolsandbox: A stateful, conversational, interactive evaluation benchmark for llm tool use capabilities.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models Toolsandbox: A stateful, conversational, interactive evaluation benchmark for llm tool use capabilities

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T14:29:46.214412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 22f3fbab-7cf3-45c4-b6bc-d5de3543cf98 · outbound

This paper cites Accessed: 2026-01-06.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models Accessed: 2026-01-06

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T14:29:46.210057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ee0467ab-3cee-469d-87cc-d365c9948c48 · outbound

This paper cites LLM With Tools: A Survey.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models LLM With Tools: A Survey

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.757781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation dcbded91-50dc-4dbc-ab0f-78c35ca71c99 · outbound

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

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials

Reference 16

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 2026-08-03T06:30:56.289259+00:00.

Observation 4a8d45f8-4439-4ca5-8aa1-db77e172405b · outbound

This paper cites CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.746338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation 3fde6864-794a-41ec-b554-d85845f8a0eb · 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 Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T00:49:38.866083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.