Paper Citation Record · LEDGER

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding

As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2603.28660.

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

pith.paper-citation-record.v1
2603.28660 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T16:14:28.988636Z

measured 52 of 52 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:20:53.440911Z

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

51 of 51 outbound references displayed

verified exact16
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier6
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation eb6f0ca6-62ec-401a-ba3e-af66af39ae2b · outbound

This paper cites Advanced Engineering Informatics 45, 101121.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Advanced Engineering Informatics 45, 101121

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-13T16:19:44.219287Z

Source-reported events for the cited work

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Observation 59f2adc0-510f-4923-8f44-98084eba1b51 · outbound

This paper cites Computing in Civil Engineering 33, 66–73.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Computing in Civil Engineering 33, 66–73

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-13T16:19:44.281137Z

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Observation 4836f559-2f9c-4650-b5f3-d78f6a93319b · outbound

This paper cites 1534–1543.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 1534–1543

Reference 3

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Observation fe8e3a49-1070-4191-bef9-6f91f0096748 · outbound

This paper cites doi:10.1109/ICCV.2019.00939.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding doi:10.1109/ICCV.2019.00939

Reference 4

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Observation 8ab05179-59c3-4271-a818-e01c9d9181b9 · outbound

This paper cites 14244–14253.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 14244–14253

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T16:14:28.988636Z

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Observation 2e13eb0a-40ee-4427-afa8-41ddc9a70a3b · outbound

This paper cites 5828–5839.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 5828–5839

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T16:14:28.988636Z

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Observation 844732fa-ab53-4f29-bb33-42c951b4cac0 · outbound

This paper cites Building-PCC: Building Point Cloud Completion Benchmarks.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Building-PCC: Building Point Cloud Completion Benchmarks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T16:14:28.988636Z

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Observation a0fa3261-ab65-4df0-9d8e-795d4f9ad40d · outbound

This paper cites IEEE transactions on pattern anal- ysis and machine intelligence 43, 4338–4364.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding IEEE transactions on pattern anal- ysis and machine intelligence 43, 4338–4364

Reference 9

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Observation f9194480-3deb-466e-a631-030075854e4f · outbound

This paper cites Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark

Reference 10

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Observation 4b1249ca-2b93-4546-8d3f-a73cea4073b4 · outbound

This paper cites Automation in Construction 152, 104949.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Automation in Construction 152, 104949

Reference 11

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Observation d2b47d0b-ec4f-4e25-8278-e94d2a67b67b · outbound

This paper cites SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

Reference 12

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Observation f6998417-17bf-491e-92dc-e507d20ef9d0 · outbound

This paper cites 11108–11117.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 11108–11117

Reference 13

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Observation 17631446-f450-4112-8f47-3b5a266e4276 · outbound

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Unresolved cited work

Reference 14

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Observation 493c216f-abe1-4ec1-ad3d-6ed8556a55ca · outbound

This paper cites ISPRS Journal of Photogrammetry and Re- mote Sensing 163, 62–81.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding ISPRS Journal of Photogrammetry and Re- mote Sensing 163, 62–81

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-07-13T16:14:28.988636Z

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Observation 894d177b-98e1-4e4b-ab79-14ec8f0133a5 · outbound

This paper cites Journal of Building Engineering 96, 110311.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Journal of Building Engineering 96, 110311

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-13T16:19:44.174071Z

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Observation dacafe3b-e698-4ef2-a6c9-54e08c8aae14 · outbound

This paper cites Journal of Information Technology in Construc- tion (ITcon) 13, 324–342.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Journal of Information Technology in Construc- tion (ITcon) 13, 324–342

Reference 17

Resolution: verified exact; doi, observed 2026-07-13T16:19:44.178563Z

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Observation 37b4d2df-2522-43b6-9a32-a9a4d78bcee1 · outbound

This paper cites 2684–2693.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 2684–2693

Reference 18

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Observation d4963903-ce12-4a91-9cea-4c68720f7241 · outbound

This paper cites Automation in Construction 179, 106455.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Automation in Construction 179, 106455

Reference 19

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Observation 79ab0c8f-247b-4df0-a6eb-c63b04165082 · outbound

This paper cites BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence

Reference 20

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Observation c18b7850-718a-4103-bb01-b9070569d546 · outbound

This paper cites CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation

Reference 21

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Observation 5dc9daf9-523e-4b14-a9d7-072fa9765391 · outbound

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Unresolved cited work

Reference 22

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Observation 2269dc7f-e073-4d5e-8156-271def1ffa2c · outbound

This paper cites 1726–1736.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 1726–1736

Reference 23

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Observation 17417ddb-4bd9-424e-bd34-09f2ee4630d5 · outbound

This paper cites Qi, C.R., Su, H., Nießner, M., Dai, A., Yan, M., Guibas, L.J.,.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Qi, C.R., Su, H., Nießner, M., Dai, A., Yan, M., Guibas, L.J.,

Reference 24

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Observation c25dc8e5-0d49-482f-a7ad-b72b92db1f8b · outbound

This paper cites 5648–5656.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 5648–5656

Reference 25

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Observation ae0b6be5-a985-4e2a-8d3e-d94d185394c5 · outbound

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 5099–5108

Reference 26

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Observation 2726ecba-94cd-45ed-8e81-d881480a5669 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 62, 1–12.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding IEEE Transactions on Geoscience and Remote Sensing 62, 1–12

Reference 27

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Observation ef7e3ba4-e833-4a79-bbcd-3d9c74b4b156 · outbound

This paper cites Automation in Construction 19, 829–843.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Automation in Construction 19, 829–843

Reference 28

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Observation cfa3a56d-635d-4baa-af6f-680e735991da · outbound

This paper cites 6411–6420.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 6411–6420

Reference 29

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Observation ad37f237-1c11-428a-9abf-d0977cb62730 · outbound

This paper cites Automation in Construction 133, 103997.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Automation in Construction 133, 103997

Reference 30

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Observation 782fb322-3288-49cc-964f-3ee38eb66763 · outbound

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 9782–9792

Reference 31

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This paper cites ISPRS Journal of Photogrammetry and Re- mote Sensing 188, 237–254.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding ISPRS Journal of Photogrammetry and Re- mote Sensing 188, 237–254

Reference 32

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Observation bec4aaed-a361-4f90-a882-3d90e3453816 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 204, 89–104.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding ISPRS Journal of Photogrammetry and Remote Sensing 204, 89–104

Reference 33

Resolution: verified exact; doi, observed 2026-07-13T16:19:44.212766Z

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Observation 6b4a2a6a-a16c-4b73-88ab-a706db6d4f82 · outbound

This paper cites doi:10.1109/CVPR52733.2024.01868.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding doi:10.1109/CVPR52733.2024.01868

Reference 34

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 22193–22204

Reference 35

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Observation 158e53a2-635c-471f-a46e-b160ab348711 · outbound

This paper cites 4840–4851.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 4840–4851

Reference 36

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Observation bd577bab-9424-4e06-b5bd-8dcc961da021 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence doi:10.1109/TPAMI.2024.3416302.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding IEEE Transactions on Pattern Analysis and Machine Intelligence doi:10.1109/TPAMI.2024.3416302

Reference 37

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Observation 4e45d22f-ecf9-4504-89fa-324e782c5ef7 · outbound

This paper cites PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

Reference 38

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 13706–13715

Reference 39

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Observation 768e8207-d1f8-4196-a982-b16457eeb282 · outbound

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding JMST Advances 2, 15–24

Reference 40

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This paper cites Automation in Construction 139, 104300.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Automation in Construction 139, 104300

Reference 41

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Observation 9b17e7fc-244e-447a-a9bf-327d49ba14d7 · outbound

This paper cites Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints

Reference 42

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Automation in Construction 130, 103874

Reference 43

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Observation 799ebeb2-c7a7-4680-b4c2-c1dd630460ec · outbound

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Automation in Construction 148, 104757

Reference 44

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This paper cites Advanced Engineering Informatics 72, 104453.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Advanced Engineering Informatics 72, 104453

Reference 45

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This paper cites Automation in Construction 168, 105769.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Automation in Construction 168, 105769

Reference 46

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Observation 990329d0-d316-47c1-a930-ca0d0a7cbf1d · outbound

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 8552–8562

Reference 47

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding doi:10.1109/ICCV48922.2021.01708

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-13T16:14:28.988636Z

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Observation b7c8c4fd-16a7-4135-83b6-3d4de654a959 · outbound

This paper cites an unresolved cited work.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Unresolved cited work

Reference 49

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding 17619–17629

Reference 50

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Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding Point-SAM: Promptable 3D Segmentation Model for Point Clouds

Reference 51

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This paper cites An Automated Robotic Arm: A Machine Learning Approach.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding An Automated Robotic Arm: A Machine Learning Approach

Reference 52

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Source-reported events for the cited work

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Pith citing papers

Observation adf45d38-663a-4707-a423-45753f92c638 · inbound

RefGlass-GS: A UAV-Enabled Fusion Framework for Photorealistic, Semantic and Interactive Digitization of Reflective Glass Facades via Gaussian Splatting cites this paper.

RefGlass-GS: A UAV-Enabled Fusion Framework for Photorealistic, Semantic and Interactive Digitization of Reflective Glass Facades via Gaussian Splatting Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:18:14.593462Z

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.