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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2601.19128.

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

pith.paper-citation-record.v1
2601.19128 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:48:21.967074Z

measured 52 of 52 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 2026-07-13T16:14:28.988636Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier8
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52dffc0d-bfdf-4bbf-968e-fcb51c640e5f · outbound

This paper cites Mirzaei, M.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Mirzaei, M

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:18.748887Z digest=sha256:e65bb0c4ccde658c5d06d575b0c1eef5d7f7c5a9de76a4efe12a21c124a62c0f

Observation a2112b13-8fb4-40da-95c0-49ab7bbc3550 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-03T07:48:18.813959Z

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source=pdf_text observed=2026-08-03T07:48:18.813959Z digest=sha256:7f4003a077a79dae0017142b3c82455eb7038db64f44563b356f37ba875aa6cb

Observation 0ac104d6-510f-4d02-9865-afdca186d6a9 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 3

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doi, observed 2026-08-03T07:53:28.801456Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T07:48:18.912643Z digest=sha256:818ad705a1da190e45254622f7e3597b6feacafe22494c199a00a91a6281915a

Observation aea872bf-f199-453a-a5eb-a86f1feed467 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:18.984753Z digest=sha256:3784226b28f8b19dfdd524895c4c9bf3d5534a946f0c0f3c223f0f284a59d4f0

Observation 62488a03-a9a8-419f-bf93-f0db8422dec2 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:19.045662Z digest=sha256:0bb2f3158fb88dcb9718f887d96904db26f5e22df94a91b4fc9f6cbba3ca5321

Observation a8d1b04f-5805-400f-a55d-2ff70cde67cc · outbound

This paper cites Agapaki, I.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Agapaki, I

Reference 6

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source=pdf_text observed=2026-08-03T07:48:19.069865Z digest=sha256:50e17c05297a155ac6ba14d309ae81dac64c6f3dceafd6ba23bec9779c0f43b1

Observation 8f46b05f-7d2b-47a4-8eaa-7a80ccc143f2 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-03T07:48:19.167502Z digest=sha256:ff4d5c1674bb5e149b10e147ea5487053afefba1095dcb48f07e28aa30494e8e

Observation 6e796d70-6607-40fd-bbbf-8ec77baf1d02 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-03T07:48:19.199372Z digest=sha256:177c4c776cb30cf7b663c9ee4f8645d641cba8e8938a3e9046ba43726a28ce20

Observation 6520c4b9-8b9b-44c1-ad4d-235a80a3b336 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-03T07:48:19.251303Z digest=sha256:3d883fbabec450a2033377438e45b771b3d8800a86285971f941ba3a7547a583

Observation 4efc061c-0f9d-4bb7-b647-1e29719cab16 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-03T07:48:19.282211Z digest=sha256:3d6c8441772f38f2c060c86980ad948c4fb884cb68ed5b1d14b7f79cfd9c7813

Observation f58418b8-e304-4ae3-a956-3b04f365e846 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-03T07:48:19.340332Z digest=sha256:33b3a356b62fb9c551f14ebdbcb16543ba79708b6a3e4c6eb46619503d91f6fd

Observation 4de9be0b-6b88-4f68-b83c-d143aefc6e1a · outbound

This paper cites Armeni, O.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Armeni, O

Reference 13

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source=pdf_text observed=2026-08-03T07:48:19.387957Z digest=sha256:37bdd35a2d2a3a25225e29452288242280ab3fe88e25c46bad607c01940884d8

Observation b95b1c4b-8a4d-47a6-ae87-7788b02073ff · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:19.413889Z digest=sha256:cc7aaa75893a93ea7c8707889f5724948dcc2d155d8979c0c09c5c34b55a5967

Observation 9129cc4e-c906-4c9f-b1c6-cf5ec530b2a3 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:19.449536Z digest=sha256:c8979f2dd9c0ca753dc2b90079aa09e6c7ee461a050e10727affa68d4fb63d60

Observation 156c291e-e61f-4342-8a15-c122b3b6cd1a · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 16

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source=pdf_text observed=2026-08-03T07:48:19.515996Z digest=sha256:9bf10646d1565365cd8947f4f10d9b45ab0469a59ca58579432ac70a8b0a531c

Observation 2cbc70ef-5fff-43bf-a5ec-4b0848b081f5 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-03T07:48:19.586698Z digest=sha256:ae162a719cba541a6b5b66e948a9376aa021daae59e082c95603a7b31f948f30

Observation 414d7cb6-93bd-421d-a1bd-7049982cb39c · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-03T07:48:19.641580Z digest=sha256:22530a3d5c5529a5b492f7b2d3dd045935552fe830e0f3bb46f6460e6ede96bd

Observation ad4a1867-4c07-4a5a-a92c-128061975138 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-03T07:48:19.679596Z digest=sha256:995f53200f4e1e64ca6b2dbd6859c9b71c7b6dfb688e111e5838006a60b93fee

Observation af1ad692-3829-4088-8bec-0d9c7c378578 · outbound

This paper cites Thomas, C.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Thomas, C

Reference 20

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source=pdf_text observed=2026-08-03T07:48:19.805100Z digest=sha256:625ba8eb85b6348ef1d2ad95057c2e4f6118abd0755172bc14b9c55cf9927455

Observation ceaf47de-dc34-4a16-aca5-e60a6052b790 · outbound

This paper cites Submanifold Sparse Convolutional Networks.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Submanifold Sparse Convolutional Networks

Reference 21

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no resolver link, observed 2026-08-03T07:48:19.868454Z

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source=pdf_text observed=2026-08-03T07:48:19.868454Z digest=sha256:6f76e6b90819a08c36e91ac314fa7714efa2a82d178ad78b5507c809511261e0

Observation 670e2ffb-be03-4dd1-9cf1-94a67a98a4c1 · outbound

This paper cites Kolodiazhnyi, A.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Kolodiazhnyi, A

Reference 22

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source=pdf_text observed=2026-08-03T07:48:20.004470Z digest=sha256:38dbeae23baf7cdaec3e5d576ce7a485a7a0f30ec4d41aef50372cd6ba05bcd8

Observation 31346dee-a3dc-4775-a379-3fb52449f70f · outbound

This paper cites A Closer Look at Local Aggregation Operators in Point Cloud Analysis.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints A Closer Look at Local Aggregation Operators in Point Cloud Analysis

Reference 24

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local_arxiv, observed 2026-08-03T07:53:28.675277Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T07:48:20.095221Z digest=sha256:a1fdb92329b382eae439bdf1d673cf39fc1acbf1ed2fca2d686176df51919cb3

Observation 315a54dc-1f5d-4855-b32d-03472953b91f · outbound

This paper cites 4398– 4407.doi:10.1109/cvpr52734.2025.00415.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints 4398– 4407.doi:10.1109/cvpr52734.2025.00415

Reference 25

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source=pdf_text observed=2026-08-03T07:48:20.133244Z digest=sha256:f04836732fd576072c9dc5f587f6ca48e474930c11ebc32b9cb590ee027d656e

Observation fbef4081-11c7-482b-a93a-af241761d7b7 · outbound

This paper cites Zhang, B.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Zhang, B

Reference 26

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source=pdf_text observed=2026-08-03T07:48:20.182650Z digest=sha256:22b3f6b41a607430bda0bf3cc596a15c817739347286597f256b834691819eb5

Observation f073b76c-3089-4a36-b039-7b25fb3167b6 · outbound

This paper cites Survey of resampling techniques for improving classification performance in unbalanced datasets.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Survey of resampling techniques for improving classification performance in unbalanced datasets

Reference 27

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local_arxiv, observed 2026-08-03T07:53:28.540512Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T07:48:20.320573Z digest=sha256:3a8802e611c16b32133fc608983edfa5fc8788a07fd102619a7d1b84ab18b48a

Observation b76c3424-5c38-446c-8ec4-705fc250fe08 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints mixup: Beyond Empirical Risk Minimization

Reference 28

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source=pdf_text observed=2026-08-03T07:48:20.347144Z digest=sha256:6c9257c1e78b711da15d4a8ad692be945be4c5f95f59a804a797ea3a9439caf7

Observation bce6e2e9-8632-433f-a43e-d833e3d25036 · outbound

This paper cites Verma, A.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Verma, A

Reference 29

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source=pdf_text observed=2026-08-03T07:48:20.469071Z digest=sha256:ea5df16b6372c35667dae39c1f09dd2fa5ff572a0b6ba7c073dbdad2c2cecc40

Observation 65e16d95-aa20-4a65-b8ee-8bf938e719ba · outbound

This paper cites LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices

Reference 30

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source=pdf_text observed=2026-08-03T07:48:20.531618Z digest=sha256:dd4c4e3f0ddbdfbb110bfaa48aa2637d6860c4479be0943f4d84a2f20bdd7588

Observation 9471a12b-3696-4b45-a1d8-66056697b4f4 · outbound

This paper cites SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

Reference 31

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source=pdf_text observed=2026-08-03T07:48:20.599613Z digest=sha256:819f5679514fb4440eacb3c428413e3f116634ebd80dda05b0a2573d4140e8ca

Observation 294a4a8a-c06f-4f86-9a7e-9d5406a8f246 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 32

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verified exact
doi, observed 2026-08-03T07:53:28.427038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T07:48:20.671881Z digest=sha256:ac48a5398fd94ed14585592638e7e4c22ad57e3d7a5967fb75fb099fd17a078c

Observation 3700e75f-ac77-416f-8858-2af3f25b543c · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-03T07:48:20.778268Z digest=sha256:9d1e23f80bf8ea4afdaffc36cf24a4e4d693e67d806d2300bb88b493008f3c70

Observation afdaa64f-1d32-41a9-8de2-fb071432267c · outbound

This paper cites Zhang, R.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Zhang, R

Reference 34

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no resolver link, observed 2026-08-03T07:48:20.856068Z

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source=pdf_text observed=2026-08-03T07:48:20.856068Z digest=sha256:7efab3fbbd095fa04d1448ee5f45fc56af701136a33070fea93b304a7623575d

Observation ef737325-a057-4afe-a123-0b98d879c30c · outbound

This paper cites Zhang, D.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Zhang, D

Reference 35

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verified exact
doi, observed 2026-08-03T07:53:28.282948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T07:48:20.886505Z digest=sha256:13f8f11fd9997f3f9a08f4a77695820ef2a8a1e61b2b0938e3ca9a8de041a5b9

Observation 28b59217-2856-4b98-a756-0f876f3811b4 · outbound

This paper cites Lahoud, F.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Lahoud, F

Reference 36

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source=pdf_text observed=2026-08-03T07:48:20.932193Z digest=sha256:4b12fc8fafcada1031e7b2484f999b4157419762bdf0e2c0c16f1f8917590037

Observation a53e3be9-8346-425d-8fb2-38539cd795ea · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-03T07:48:20.978678Z digest=sha256:7ff6286938ff0886f4455002867070400f66a72d1c28f4ddd0105c60285c6fa0

Observation 8af72df1-ce1e-4310-8782-fe918d256fe4 · outbound

This paper cites Zhang, D.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Zhang, D

Reference 38

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malformed identifier
no resolver link, observed 2026-08-03T07:48:21.025158Z

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source=pdf_text observed=2026-08-03T07:48:21.025158Z digest=sha256:0adcefd27af5d35029a3ffb5a39028d6a5667edd0c0f049f327a121772b286e3

Observation 10e86368-bb14-42b3-978d-b6f0f3eeca2e · outbound

This paper cites Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 39

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no resolver link, observed 2026-08-03T07:48:21.124577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:21.124577Z digest=sha256:fdce200f29d4cbc9aaf624b4aee7629e4d20687e0beb0513c3593bb8ce2b59f2

Observation 4efe3ec8-9d8f-499d-b6cc-bdd0064f65ac · outbound

This paper cites Cheng, X.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Cheng, X

Reference 40

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no resolver link, observed 2026-08-03T07:48:21.182459Z

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source=pdf_text observed=2026-08-03T07:48:21.182459Z digest=sha256:ffdfc80ac6b7eb4e8a00f3e322562b9e38dba19f77d7b971527428215b159c7f

Observation 9086f2e8-1f15-41a6-8883-3fba21b67fd3 · outbound

This paper cites Huang, Y.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Huang, Y

Reference 41

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verified exact
doi, observed 2026-08-03T07:53:28.187481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T07:48:21.241236Z digest=sha256:e2daf06deaa871814ac6e22430306d46b40dc2e851a226f754677aac0c5137c5

Observation 431efe2e-28eb-492d-8643-6858787ca217 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 42

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verified exact
doi, observed 2026-08-03T07:53:28.075435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T07:48:21.315197Z digest=sha256:163823a0d240e6c4f0438862d9c330f80e8c4b4f938ed73385422e7f9448da84

Observation 54bde54f-74ec-4cf3-a574-90fe7deef59a · outbound

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

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark

Reference 43

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no resolver link, observed 2026-08-03T07:48:21.394500Z

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source=pdf_text observed=2026-08-03T07:48:21.394500Z digest=sha256:aae8af690b291c2f08e6868e71a6636375934b99544cf4282743aab79d9b545f

Observation e5237e85-86ae-4c73-ae67-a5d831f90135 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 44

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no resolver link, observed 2026-08-03T07:48:21.450675Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T07:48:21.450675Z digest=sha256:2cdf560bd1cd1e257c2ec5fbbb2ec1e4df55f4e310d11a607245c949f58a50d4

Observation 26776a06-1e1e-4640-a1ed-4bde5d05372f · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 45

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no resolver link, observed 2026-08-03T07:48:21.513759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:21.513759Z digest=sha256:e943f976d8245addcb04f442e2ba1b09bbf8aa71f8c75540b337ef1f20d23fd8

Observation a89bc503-8cb8-46b4-a863-1b254538542f · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 46

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no resolver link, observed 2026-08-03T07:48:21.538938Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T07:48:21.538938Z digest=sha256:9fed5b40c01f66f45f5e6a80c0a1d56ac9d3f97aa6973a9d0516dd7ff1fd29d0

Observation d5560fbf-5e69-4ddb-a879-89321db65243 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 47

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no resolver link, observed 2026-08-03T07:48:21.618153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:21.618153Z digest=sha256:fa949611c05c94423ca29616d8a5f3bd8a830c8ffaacf53b5c036595f7995c67

Observation e91bb607-554b-4b37-94bb-f343dbb54b39 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 48

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no resolver link, observed 2026-08-03T07:48:21.663925Z

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source=pdf_text observed=2026-08-03T07:48:21.663925Z digest=sha256:4a9af3d57d72b93205fd277b3cac8d60f04b6ff3389c54f3da30d646026bc8cc

Observation 5e93f95c-59b3-4d08-bd94-579183cbe0e0 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 49

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unresolved
no resolver link, observed 2026-08-03T07:48:21.747104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:21.747104Z digest=sha256:b791d5ada03684afc0b1173a3715954254a013c469b433d705697f685620a1ac

Observation 24680875-733f-4ad2-87d8-d10244650550 · outbound

This paper cites an unresolved cited work.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Unresolved cited work

Reference 50

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no resolver link, observed 2026-08-03T07:48:21.792678Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T07:48:21.792678Z digest=sha256:bc6ee29f97d6848b7cff98f6822d1b1b72947d0f622c564a5e4fcee9be91835b

Observation 7627980f-d928-4277-b190-eb4aeb6b7e74 · outbound

This paper cites Rozenberszki, O.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Rozenberszki, O

Reference 51

Resolution
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no resolver link, observed 2026-08-03T07:48:21.842480Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T07:48:21.842480Z digest=sha256:87b8edc46384ff5a9b5e4b04f8ae4f414422e147965cea44b2271e45d5a93863

Observation 0fd5df6a-0a13-4683-b66c-75e4282f93fa · outbound

This paper cites Pierdicca, M.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Pierdicca, M

Reference 52

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no resolver link, observed 2026-08-03T07:48:21.891377Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T07:48:21.891377Z digest=sha256:fdb46191fd37b3907055294c965e893153a050801123e22ca7a0ba266b89eb31

Observation 8c5a68c8-08c5-408d-bc76-caf8ce67aafc · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints Adam: A Method for Stochastic Optimization

Reference 53

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unresolved
no resolver link, observed 2026-08-03T07:48:21.967074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:21.967074Z digest=sha256:99bacfaf2b47622b58cb25a5b71d93a6f8717668410b99fa4f893fde3b0495ba

Pith citing papers

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:14:28.988636Z digest=sha256:13d6002c5ca2b94ed54a87470c1984a3e2b97cdb7018c1ae6ab5dc8a794ab703