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Paper Citation Record · LEDGER

CEQuest: Benchmarking Large Language Models for Construction Estimation

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2508.16081.

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

pith.paper-citation-record.v1
2508.16081 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:35:53.613108Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:28:58.158507Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 590ae536-1c0a-42b7-b2d6-853be98d75db · outbound

This paper cites Phi-4 Technical Report.

CEQuest: Benchmarking Large Language Models for Construction Estimation Phi-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation 2b1d5d6a-4026-4924-a80d-5bd6225815a6 · outbound

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

Reference 2

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Observation 241d76b2-1827-4e63-929c-e31648fb7d68 · outbound

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

Reference 3

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Observation aca315d3-8ab7-4828-aba5-ed5310ccaa4c · outbound

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

Reference 4

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Observation eec2dd21-9d80-4bff-b0ae-8aa60c050b8c · outbound

This paper cites Yu, Qiang Yang, and Xing Xie.

CEQuest: Benchmarking Large Language Models for Construction Estimation Yu, Qiang Yang, and Xing Xie

Reference 5

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Source-reported events for the cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

Reference 6

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

Reference 7

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Source-reported events for the cited work

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Observation 490e579b-75f6-4834-ac58-bf4d7b1b905c · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

CEQuest: Benchmarking Large Language Models for Construction Estimation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 8

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Source-reported events for the cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

Reference 9

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

Reference 10

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

Reference 11

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

Reference 12

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Observation febf42f4-9113-4911-81ff-aa9d024b6ba3 · outbound

This paper cites The Llama 3 Herd of Models.

CEQuest: Benchmarking Large Language Models for Construction Estimation The Llama 3 Herd of Models

Reference 13

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

Reference 14

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 19

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Reference 23

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Deep Learning and Foundation Models for Weather Prediction: A Survey

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 33

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CEQuest: Benchmarking Large Language Models for Construction Estimation Gemma 3 Technical Report

Reference 34

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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CEQuest: Benchmarking Large Language Models for Construction Estimation Unresolved cited work

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This paper cites Transactions of the Association for Computational Linguistics 7 (08 2019), 453–466.

CEQuest: Benchmarking Large Language Models for Construction Estimation Transactions of the Association for Computational Linguistics 7 (08 2019), 453–466

Reference 2019

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Observation 6d4b2f83-e7f3-4dd9-af61-1f7a21656a24 · outbound

This paper cites In 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

CEQuest: Benchmarking Large Language Models for Construction Estimation In 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 2021

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This paper cites Holistic Evaluation of Language Models.

CEQuest: Benchmarking Large Language Models for Construction Estimation Holistic Evaluation of Language Models

Reference 2022

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Pith citing papers

Observation 1fccdb11-93ab-4db5-bf61-051684911134 · inbound

DrawingVQA: A Real-World Benchmark for Multi-Depth Visual-Textual Reasoning on Construction Drawings cites this paper.

DrawingVQA: A Real-World Benchmark for Multi-Depth Visual-Textual Reasoning on Construction Drawings CEQuest: Benchmarking Large Language Models for Construction Estimation

Reference 31

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