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Paper Citation Record · LEDGER

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2608.06117.

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

pith.paper-citation-record.v1
2608.06117 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:14.151891Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved17
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c128c87-cff7-4cc8-8e55-1c116531057f · outbound

This paper cites arXiv preprint arXiv:2512.11508 (2025).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction arXiv preprint arXiv:2512.11508 (2025)

Reference 1

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b85ebe26-0ed0-4c52-a28f-6ac7ea54d921 · outbound

This paper cites IEEE Transactions on Visualization and Computer Graphics (2024).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction IEEE Transactions on Visualization and Computer Graphics (2024)

Reference 2

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 59d023f2-93f9-475e-9bf9-358b96262ff4 · outbound

This paper cites A Survey on 3D Gaussian Splatting.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction A Survey on 3D Gaussian Splatting

Reference 3

Resolution
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Source-reported events for the cited work

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Observation 0e81a531-07c9-42c4-8449-d627668ba2e7 · outbound

This paper cites In: European Conference on Computer Vision (ECCV).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: European Conference on Computer Vision (ECCV)

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b5a5eaea-b603-4a76-92bc-97e4db446382 · outbound

This paper cites In: International Confer- ence on Learning Representations.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: International Confer- ence on Learning Representations

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 218a1873-561e-4fc5-87d1-a95c881e2eed · outbound

This paper cites In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7825c103-f870-4610-8282-00aecb34d365 · outbound

This paper cites ACM Transactions on Graphics (TOG)44(6), 1–15 (2025).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction ACM Transactions on Graphics (TOG)44(6), 1–15 (2025)

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1ee18eaa-d6a8-4db5-93ee-3dbf9563cba7 · outbound

This paper cites Computer Vision and Pattern Recognition (CVPR) (2024).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Computer Vision and Pattern Recognition (CVPR) (2024)

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c0b53ffb-cc96-461a-96e9-aaaa7357f773 · outbound

This paper cites In: SIGGRAPH 2024 Conference Papers.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: SIGGRAPH 2024 Conference Papers

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 97bdb98f-d839-4659-b7a3-4f12952fc673 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5057e9cb-469a-4884-9653-456701bd4e61 · outbound

This paper cites ACM Transactions on Graphics42(4) (2023).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction ACM Transactions on Graphics42(4) (2023)

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9dc57f76-8ebe-4fec-b656-d91e3bb352e4 · outbound

This paper cites ACM Transactions on Graphics (ToG)36(4), 1–13 (2017).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction ACM Transactions on Graphics (ToG)36(4), 1–13 (2017)

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0922cb43-088b-4891-8ebd-aefb66b3f591 · outbound

This paper cites In: European Conference on Computer Vision.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: European Conference on Computer Vision

Reference 13

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 211f5581-e350-4a5f-a079-32bc982e13af · outbound

This paper cites ACM Multimedia (2025).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction ACM Multimedia (2025)

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dacad6b6-91cb-4a2a-b2aa-c1927a3a1f84 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:18.518339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6e1e3c4b-2abd-4f51-8ec7-614d4fb2d12c · outbound

This paper cites Information Fusion p.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Information Fusion p

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bc0d3697-8db1-47cb-bf37-fc367be790ad · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Depth Anything 3: Recovering the Visual Space from Any Views

Reference 17

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 36a159e5-9656-4096-807a-98cc0e15e548 · outbound

This paper cites ACM Transac- tions on Graphics (TOG)43(6), 1–12 (2024).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction ACM Transac- tions on Graphics (TOG)43(6), 1–12 (2024)

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fae3a033-9f88-4b0d-b7ff-7140a647c199 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence44(3) (2022).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction IEEE Transactions on Pattern Analysis and Machine Intelligence44(3) (2022)

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6dd46712-c8d4-4f8a-977f-5dbf70ac7565 · outbound

This paper cites In: Computer Vision and Pattern Recognition (CVPR) (2024).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: Computer Vision and Pattern Recognition (CVPR) (2024)

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 730e908c-4037-4c08-8d2a-b232e86665f1 · outbound

This paper cites Reflections Unlock: Geometry-Aware Reflection Disentanglement in 3D Gaussian Splatting for Photorealistic Scenes Rendering.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Reflections Unlock: Geometry-Aware Reflection Disentanglement in 3D Gaussian Splatting for Photorealistic Scenes Rendering

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 263be871-cacf-4355-a817-c85df1f301e8 · outbound

This paper cites CVPR (2022).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction CVPR (2022)

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5ba778be-1524-45da-8f60-9294c2f1d03f · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence47(11), 9426–9437 (2024).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction IEEE Transactions on Pattern Analysis and Machine Intelligence47(11), 9426–9437 (2024)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:17.528807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 812f08b1-7124-4474-b3fe-0aad7034c02f · outbound

This paper cites In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR) (2025).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR) (2025)

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72cf83a8-9e4c-47ef-920a-a54175fa9966 · outbound

This paper cites GausSurf: Geometry-Guided 3D Gaussian Splatting for Surface Reconstruction.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction GausSurf: Geometry-Guided 3D Gaussian Splatting for Surface Reconstruction

Reference 25

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1a629f0b-a608-430c-a377-324ecbe41ad6 · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 26

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4415b15e-da78-415c-976f-6690a0945164 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d2726214-6d13-4db4-bfcd-963ef8b6c5fd · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 28

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c35b6f70-f0e4-4790-9f42-501e02dda5f0 · outbound

This paper cites an unresolved cited work.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:36:17.071772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bd4b56d4-ac4d-4b7c-8883-83991370b833 · outbound

This paper cites In: European Conference on Computer Vision.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: European Conference on Computer Vision

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:16.825806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d6935c05-dee8-4359-b6d0-0a0642fc8fec · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:16.631422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 290d9299-e6e8-478b-9dcf-486916545eb1 · outbound

This paper cites In: ECCV (2024) Leveraging Multi-view Geometric Priors for GS-based Reconstruction 15.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: ECCV (2024) Leveraging Multi-view Geometric Priors for GS-based Reconstruction 15

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:16.374444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7fd077b0-24df-4ef0-8dd1-a4a89a00e139 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:16.179799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d8fd9d46-a329-41d8-8f97-0776096c1301 · outbound

This paper cites Advances in Neural Information Processing Systems37, 21875–21911 (2024).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Advances in Neural Information Processing Systems37, 21875–21911 (2024)

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:13.429466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:36:13.429466Z digest=sha256:e68096c7163c1aaab9f93c8f410b5fe81f01ba5de8db4eaa7f1cb2fa538c1676

Observation 5f464e1a-dac0-40b9-ba88-f38e0464efbf · outbound

This paper cites In: International Conference on Learning Representations.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: International Conference on Learning Representations

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:15.981444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:36:13.513298Z digest=sha256:370d2e26651f7225904007227a89245a8e38c4532d103f62a0e4c856a9c003de

Observation 2369fbaf-3896-4bd9-8a4b-683959052c79 · outbound

This paper cites Advances in neural information processing systems34, 4805–4815 (2021).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Advances in neural information processing systems34, 4805–4815 (2021)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:15.683922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:36:13.575130Z digest=sha256:7cd5b7d216dedf416669740817774c5373b94040a1b5068856dc6b7718f7a842

Observation ec638eb2-f9f5-4e55-907a-58357466932d · outbound

This paper cites ACM Trans- actions on Graphics (TOG)43(6), 1–18 (2024).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction ACM Trans- actions on Graphics (TOG)43(6), 1–18 (2024)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:15.477866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:36:13.630365Z digest=sha256:0e2b5d238ad0d309be6bf10e2ac900d12aaa08daee10ec3436274529320fd129

Observation 66f5ddfb-609b-44af-a7da-7ca911ac6d51 · outbound

This paper cites In: ACM SIGGRAPH 2024 Conference Papers.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction In: ACM SIGGRAPH 2024 Conference Papers

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:15.239815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:36:13.689367Z digest=sha256:60eb73acdf1fdbddbb521fe83c88b46b5b694a8ba616c187b1c3ddbccf4dd1bd

Observation 3e989e85-c94a-42bd-a848-3fe14460bcf8 · outbound

This paper cites GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:13.738548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:36:13.738548Z digest=sha256:f65d4890bf9aa9c9ec4cd0d5bba5de49650fa64bc837ff1312aa55cb4b8ab0b0

Observation 14559227-9c6e-46df-9c81-d2f17e0ccb2b · outbound

This paper cites Advances in neural information processing systems35, 25018–25032 (2022).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Advances in neural information processing systems35, 25018–25032 (2022)

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:13.866262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:36:13.866262Z digest=sha256:ba1cda6dde2a22df888cd5851f15dcc3f3cf09e41da46e97d667e1fab14c1ebb

Observation 8d389a06-9a18-484f-817d-e7d5717d3426 · outbound

This paper cites ACM Transactions on Graphics (2024).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction ACM Transactions on Graphics (2024)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:15.023121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:36:13.940041Z digest=sha256:d86125a48bbc4689cfbd5da610f5f61b505deeaab06a069e9a1d8d10120a2fc9

Observation 7c9d8c33-75d1-49e9-b3aa-650216cf9710 · outbound

This paper cites 2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction 2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:14.010771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:36:14.010771Z digest=sha256:9c40eba7bd2e53d37436988f11b4beb63a00215c2a4f3a9d624e5fd11ac786a0

Observation 7c391483-f22a-4f06-a70d-a50fd9b86c7b · outbound

This paper cites Advances in Neural Information Processing Systems38, 89896–89917 (2026).

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Advances in Neural Information Processing Systems38, 89896–89917 (2026)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:14.868266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:36:14.075022Z digest=sha256:99ee0b26af402747b7d289eb7f6238e1a723f887f4a40450d936ffaad08a8e9e

Observation d7bc3fad-7099-48e2-bce5-16236a94fe4c · outbound

This paper cites Interna- tional Conference on 3D Vision (3DV) (2026) 16 H.

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction Interna- tional Conference on 3D Vision (3DV) (2026) 16 H

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:36:14.674352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:36:14.151891Z digest=sha256:ece1615f7c0a3709167fe47c39cc7e125ceed0898013ba26a5f72b651278c138

Pith citing papers

No inbound Pith citation observations are available.