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Paper Citation Record · LEDGER

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes

As of 10 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.05952.

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

pith.paper-citation-record.v1
2507.05952 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:19:11.727291Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved15
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af1e4fcd-6f86-4915-8310-9aeef2c87e6d · outbound

This paper cites Large-scale data for multiple-view stereopsis.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Large-scale data for multiple-view stereopsis

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation eb65da3f-14f3-41df-9624-303121fd2f2e · outbound

This paper cites MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo

Reference 2

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 625b5bcc-bb9f-4c2a-aadb-f4a732674db1 · outbound

This paper cites Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cff4c7cd-29cd-44f2-b6fd-380d5628de74 · outbound

This paper cites A volumetric method for building complex models from range images.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes A volumetric method for building complex models from range images

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 2026-08-09T06:31:02.800959+00:00.

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Observation af8fa1b6-4c57-437f-be37-589727c63fc2 · outbound

This paper cites Transmvsnet: Global context-aware multi-view stereo network with trans- formers.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Transmvsnet: Global context-aware multi-view stereo network with trans- formers

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 2026-08-09T06:31:02.800959+00:00.

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Observation 9a4c9a84-23d3-440c-9a35-3c00d676f51a · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 6

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 29d0609d-bd6b-434e-b1b3-c0aec3f44f04 · outbound

This paper cites Accurate, dense, and robust multiview stereopsis.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Accurate, dense, and robust multiview stereopsis

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 2026-08-09T06:31:02.800959+00:00.

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Observation 2714dc6b-30fc-459c-a51c-fd0eae1ed24e · outbound

This paper cites Cascade cost volume for high-resolution multi-view stereo and stereo matching.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Cascade cost volume for high-resolution multi-view stereo and stereo matching

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 2026-08-09T06:31:02.800959+00:00.

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Observation 59486459-a103-4184-9b54-54a8da3ebdca · outbound

This paper cites Hartley and A.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Hartley and A

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1f73a1d1-f0dc-4f24-a2bb-6541a3d34706 · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 20990229-bab9-4216-ad5b-ac76b5cc909d · outbound

This paper cites Surfacenet: An end-to-end 3d neural network for mul- tiview stereopsis.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Surfacenet: An end-to-end 3d neural network for mul- tiview stereopsis

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 2026-08-09T06:31:02.800959+00:00.

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Observation e73cb4b4-2640-4b45-adb9-bfe2d929654c · outbound

This paper cites Sur- facenet+: An end-to-end 3d neural network for very sparse multi-view stereopsis.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Sur- facenet+: An end-to-end 3d neural network for very sparse multi-view stereopsis

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0aaf128d-2cf3-4618-abf8-6a1d6a1b3f91 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:19:12.214291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5b725980-f6f2-4c91-9ad7-88a7a789ebf7 · outbound

This paper cites Kerbl, G.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Kerbl, G

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 2026-08-09T06:31:02.800959+00:00.

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Observation 80bac1c7-6505-40e4-91bc-9a472eca3085 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 15

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5cdf20e2-5eee-455f-b484-3f488a1a610f · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Tanks and temples: Benchmarking large-scale scene reconstruction

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 2026-08-09T06:31:02.800959+00:00.

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Observation 8d92e725-cdc7-4fe5-8741-49d3d335c381 · outbound

This paper cites Kostrikov and J.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Kostrikov and J

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 50c8e586-ab11-4358-8e47-579db7a68992 · outbound

This paper cites Kutulakos and S.M.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Kutulakos and S.M

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 2026-08-09T06:31:02.800959+00:00.

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Observation 3139ccc8-2332-4154-ac08-0f565261e125 · outbound

This paper cites A quasi-dense approach to surface reconstruction from uncalibrated images.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes A quasi-dense approach to surface reconstruction from uncalibrated images

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 2026-08-09T06:31:02.800959+00:00.

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Observation e89267cd-bec7-4619-8c75-42a5c61a8feb · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation eb35417a-f945-4bea-b579-6c3dcdee7f23 · outbound

This paper cites Retr: Modeling rendering via transformer for generalizable neural surface re- construction.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Retr: Modeling rendering via transformer for generalizable neural surface re- construction

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a1b8d9fc-2ba8-4993-894e-6e34fdda8806 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 22

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e33c6f49-08a3-4c98-8164-c4ffe96f7218 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:19:12.092924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3e910f51-2364-4103-a6a5-96bd67ba628e · outbound

This paper cites Neural sparse voxel fields.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Neural sparse voxel fields

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:11.625503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:19:11.625503Z digest=sha256:42af24d0703597d338a4bacf114a1fc75be59242a929a3ddde6385e34b25b5f3

Observation 8db026d5-c3a9-48e6-9b18-a0314a9550d4 · outbound

This paper cites Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:12.075196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7fcb14b5-48ac-41cb-8a2d-72bba33159dd · outbound

This paper cites Lorensen and H.E.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Lorensen and H.E

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0dfa137a-d9cb-4123-bc7e-ebc50e41aa84 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:19:12.048680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 742e8dbb-3b3a-4cdd-a5be-c2c9aeeaab85 · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:12.037399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4cbe8b97-70d6-46e9-a04f-c0e712b866f5 · outbound

This paper cites Uforecon: Generalizable sparse-view surface reconstruction from arbitrary and unfavorable sets.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Uforecon: Generalizable sparse-view surface reconstruction from arbitrary and unfavorable sets

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:12.025657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d60a73d8-174b-48f4-b61e-e28d9a17feb4 · outbound

This paper cites V olrecon: V olume rendering of signed ray distance functions for generalizable multi-view recon- struction.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes V olrecon: V olume rendering of signed ray distance functions for generalizable multi-view recon- struction

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:12.013834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5ab542db-8ffa-4af7-a88b-554408051d05 · outbound

This paper cites Ronneberger, P.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Ronneberger, P

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:12.001398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2f3353ed-3ecc-4adc-92ec-9081442b7ef8 · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Pixelwise view selection for unstructured multi-view stereo

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:11.655327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:19:11.655327Z digest=sha256:1a44b77ac7d58608e31f04e6114b4932d5a1323ef0796f21026b35f6127a6ca5

Observation ff5e78f9-d558-4dd5-b2ed-a7f316303736 · outbound

This paper cites Seitz, B.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Seitz, B

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.981398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.659385Z digest=sha256:5600d5dcfde03196b50d8dddf0610298b4b85c5dc18e096cfc4f0e74c656bcff

Observation e1e30c2f-1f2b-4d1e-92c0-f06bf16f5aa0 · outbound

This paper cites Shum and S.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Shum and S

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.968883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.662929Z digest=sha256:6204188cb8730512a8ad484eac7e9c7fd671072ef46f3b239246d19128682670

Observation 0683beaf-a485-4a68-91a3-d2d89585f7a0 · outbound

This paper cites Torchsparse++: Efficient training and inference framework for sparse convolution on gpus.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Torchsparse++: Efficient training and inference framework for sparse convolution on gpus

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.955579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.666522Z digest=sha256:bf42568bc391b4263863f2452de4d5684110fab338b6d0f2148d04155ebd8a6c

Observation ae9163cb-706b-4b22-82bb-91895f2e2a84 · outbound

This paper cites Itermvs: Iterative probability estimation for efficient multi-view stereo.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Itermvs: Iterative probability estimation for efficient multi-view stereo

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.942739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.670275Z digest=sha256:60174b8e786eded453004631665c5919672b26fdf84fc1212af591b9690d43c1

Observation 6e570236-d14d-43dd-b59a-f54d0b1bf8f0 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:19:11.930139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.674217Z digest=sha256:9e4612df3628b7f238782ea4cdba329eaea8ff290e0781f6dba052aa34008a20

Observation 974679af-ab0d-4e31-a911-68c2cdf2a5fd · outbound

This paper cites Ibr- net: Learning multi-view image-based rendering.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Ibr- net: Learning multi-view image-based rendering

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.919121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.678481Z digest=sha256:fcc58669fdca1f90edd5ca0beba20cce240c957a31e5a242159f62d75867d709

Observation 1617c223-6cb4-42c9-b2dd-8120b73df0c1 · outbound

This paper cites C2f2neus: Cascade cost frustum fusion for high fidelity and generalizable neu- ral surface reconstruction.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes C2f2neus: Cascade cost frustum fusion for high fidelity and generalizable neu- ral surface reconstruction

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.907604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.682347Z digest=sha256:bdb8465df0702dbb1546b380d57afa874ce7f363712c74557c66dbe553996253

Observation a785d3cc-bc57-43cc-8559-607265d036e1 · outbound

This paper cites Mvsnet: Depth inference for unstructured multi-view stereo.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Mvsnet: Depth inference for unstructured multi-view stereo

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:11.686330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:19:11.686330Z digest=sha256:c608f0aaa790a01841080919a5e463b67d9d40164d7d0ce7a1eb24bfbb025aa3

Observation d959a559-c3d2-434b-ae43-1d58a7d93969 · outbound

This paper cites Recurrent mvsnet for high-resolution multi-view stereo depth inference.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Recurrent mvsnet for high-resolution multi-view stereo depth inference

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:11.690437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:19:11.690437Z digest=sha256:0c37f9c7c081f1b2a3f53a58c0c5fc0ace2da53477585ea0efe5f300aa14f53f

Observation 31f50051-4124-48bd-b53e-1b0e4bee689a · outbound

This paper cites Blendedmvs: A large- scale dataset for generalized multi-view stereo networks.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Blendedmvs: A large- scale dataset for generalized multi-view stereo networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.882112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.694216Z digest=sha256:39c52f0c046bd24bcb16720a0b268e773d3232ce99fd603b50f8c31a90b47aeb

Observation 964a093c-96d7-4d3c-93aa-737539f2433e · outbound

This paper cites Yariv, Y.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Yariv, Y

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.869230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.698621Z digest=sha256:78cf5660bbbb93ea165ed48766f6c1322f9a0c2977f2ed4d17b1f862758d3774

Observation e527de19-01db-4916-8c94-ca48167ca3ed · outbound

This paper cites V olume rendering of neural implicit surfaces.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes V olume rendering of neural implicit surfaces

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:11.702402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:19:11.702402Z digest=sha256:0fc186e656860be072089480f22f8abc49fdabbce56dcdfcfd6b0b7616115cdb

Observation 6398ba3a-5789-4970-bc11-b74292ced116 · outbound

This paper cites Spar- secraft: Few-shot neural reconstruction through stereopsis guided geometric linearization.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Spar- secraft: Few-shot neural reconstruction through stereopsis guided geometric linearization

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.848370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.706513Z digest=sha256:12bf59bbdc7826d7276985f2dcddd4ae42b890c70e576df7146957e313db840b

Observation d6e0208d-5d5c-46fb-94af-047b6097b361 · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes pixelnerf: Neural radiance fields from one or few images

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.834384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.710059Z digest=sha256:689428054e4123b51b60b70c9bd553cf49360adeef128ccc54d3d345124ed411

Observation 8e0d404d-2b49-43cf-a1d7-4e7f5f0f90fb · outbound

This paper cites Gaussian opacity fields: Efficient adaptive surface reconstruction in unbounded scenes.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Gaussian opacity fields: Efficient adaptive surface reconstruction in unbounded scenes

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.819723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.714688Z digest=sha256:9fa2a6a6c75a98dfa2858d05e2690a21a7fd05ad55adbd1da9ec804a78f86e3d

Observation 424ffead-42fc-448e-b0ba-b3c5a82c2104 · outbound

This paper cites Transplat: Generalizable 3d gaussian splatting from sparse multi-view images with transformers.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Transplat: Generalizable 3d gaussian splatting from sparse multi-view images with transformers

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.805766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.718925Z digest=sha256:8e1baeff777b2e674edfccc84f02e6f73b9d801b6e3c27b6fd6171c9e474ee9a

Observation bf57a7bb-dd9c-4b58-b8d7-e8a084ebceec · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:19:11.790625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.722934Z digest=sha256:12cd997846559daaaa4179d366056fa0afb5256d445a9387433ddf773398ee5a

Observation 733e48d7-441e-419f-baa5-8ab01796bc99 · outbound

This paper cites Network Architectures.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Network Architectures

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:19:11.776975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:19:11.727291Z digest=sha256:13ef7010026a4eeb6ca44d6af65b84e456c010f9e94bb93564df104c45883bb6

Pith citing papers

No inbound Pith citation observations are available.