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Paper Citation Record · LEDGER

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields

As of 18 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2505.02005.

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

pith.paper-citation-record.v1
2505.02005 v2

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:09:00.702007Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

80 of 80 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af762f0e-c181-4653-b257-e96c0d226716 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 1

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Observation cc18a2d3-036c-48af-9eb7-bdc87901b6df · outbound

This paper cites Mega-nerf: Scal- able construction of large-scale nerfs for virtual fly-throughs,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Mega-nerf: Scal- able construction of large-scale nerfs for virtual fly-throughs,

Reference 2

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Observation 3a3e1a83-ecff-4159-819c-bb0171767480 · outbound

This paper cites Block-nerf: Scalable large scene neural view synthesis,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Block-nerf: Scalable large scene neural view synthesis,

Reference 3

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Observation 49a517bd-d48c-4913-896c-4005573e0a31 · outbound

This paper cites Switch-neRF: Learning scene decomposition with mixture of experts for large-scale neural radiance fields,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Switch-neRF: Learning scene decomposition with mixture of experts for large-scale neural radiance fields,

Reference 4

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Observation db97cfb2-323c-42fa-ae80-977c4c145050 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Instant neural graphics primitives with a multiresolution hash encoding,

Reference 5

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Observation dfcf5c6f-2e35-4715-8ed2-6937b3854cb1 · outbound

This paper cites Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction,

Reference 6

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Observation 0b73674d-2c02-4d1c-8557-7005c4b81611 · outbound

This paper cites Plenoxels: Radiance fields without neural net- works,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Plenoxels: Radiance fields without neural net- works,

Reference 7

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Observation 87b61298-b236-4c9a-ad30-4e3b65058a47 · outbound

This paper cites Tensorf: Tensorial radiance fields,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Tensorf: Tensorial radiance fields,

Reference 8

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Observation dcd2ee94-0070-47a4-a5ea-110cb5edc1bf · outbound

This paper cites Grid-guided neural radiance fields for large urban scenes,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Grid-guided neural radiance fields for large urban scenes,

Reference 9

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Source-reported events for the cited work

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Observation 009f07f9-cfba-4d12-a507-bcf22430d64d · outbound

This paper cites Ur- banbis: a large-scale benchmark for fine-grained urban building instance segmentation,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Ur- banbis: a large-scale benchmark for fine-grained urban building instance segmentation,

Reference 10

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Observation 94d43ff6-2543-415f-a61e-a5374b4c5b30 · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,

Reference 11

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Observation 45f4a072-5dc6-406d-83f6-fbe0eaf9d057 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 12

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Observation ce07b06e-36c9-4d5e-8567-33270e6206aa · outbound

This paper cites Object recognition from local scale-invariant fea- tures,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Object recognition from local scale-invariant fea- tures,

Reference 13

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Observation 3eb57be1-762c-4265-9048-7ab3024a1d5d · outbound

This paper cites Efficient sequential corre- spondence selection by cosegmentation,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Efficient sequential corre- spondence selection by cosegmentation,

Reference 14

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Observation 0ae3d227-7ee3-430b-936d-8d1d7afee1df · outbound

This paper cites A vote-and-verify strategy for fast spatial verification in image retrieval,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields A vote-and-verify strategy for fast spatial verification in image retrieval,

Reference 15

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Observation c210df34-6541-40b4-8193-296442c6f35d · outbound

This paper cites Su- perglue: Learning feature matching with graph neural networks,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Su- perglue: Learning feature matching with graph neural networks,

Reference 16

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Observation 5473dca1-cace-424b-ae30-c6cf45c85408 · outbound

This paper cites Photo tourism: exploring photo collections in 3d,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Photo tourism: exploring photo collections in 3d,

Reference 17

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Source-reported events for the cited work

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Observation 2eb30acf-2faa-40db-9ca4-5690840a4ba2 · outbound

This paper cites Discrete-continuous optimization for large-scale structure from motion,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Discrete-continuous optimization for large-scale structure from motion,

Reference 18

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Observation aaa83118-0863-41a8-9c10-279ff06609cb · outbound

This paper cites Structure-from-motion revis- ited,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Structure-from-motion revis- ited,

Reference 19

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Observation ff794bc1-5a91-445b-8413-087af2e02469 · outbound

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

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Accurate, dense, and robust multiview stereopsis,

Reference 20

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Observation e26c1a52-a240-4be9-bef6-fcee296fcd65 · outbound

This paper cites Pixel- wise view selection for unstructured multi-view stereo,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Pixel- wise view selection for unstructured multi-view stereo,

Reference 21

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Observation fe85d63e-5d84-456a-b5a8-edb5490ce75f · outbound

This paper cites Multi-scale geometric consistency guided multi-view stereo,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Multi-scale geometric consistency guided multi-view stereo,

Reference 22

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Observation 1fa2caff-0e0e-4366-8bcd-052cfebaea84 · outbound

This paper cites Generalized binary search network for highly-efficient multi-view stereo,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Generalized binary search network for highly-efficient multi-view stereo,

Reference 23

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Observation 46f344a8-b770-4d48-b016-d8170c695861 · outbound

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

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Mvsnet: Depth inference for unstructured multi-view stereo,

Reference 24

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Observation 6119d564-9773-4214-95fe-94f3d2f83e30 · outbound

This paper cites Point-based multi-view stereo network,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Point-based multi-view stereo network,

Reference 25

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Source-reported events for the cited work

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Observation 32728bf5-e1d4-491d-b389-6b02ad68b4b2 · outbound

This paper cites Cascade cost vol- ume for high-resolution multi-view stereo and stereo matching,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Cascade cost vol- ume for high-resolution multi-view stereo and stereo matching,

Reference 26

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Source-reported events for the cited work

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Observation 7c2dd344-593b-49a5-8564-750f6f6a1eaa · outbound

This paper cites Learning inverse depth regression for multi- view stereo with correlation cost volume,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Learning inverse depth regression for multi- view stereo with correlation cost volume,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6b7e6b61-4622-4e5b-b309-3d23f41b0abe · outbound

This paper cites NeRF++: Analyzing and Improving Neural Radiance Fields.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields NeRF++: Analyzing and Improving Neural Radiance Fields

Reference 28

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Source-reported events for the cited work

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Observation c1dca997-db0a-40eb-8c83-0d0fd1626971 · outbound

This paper cites Nerf in the wild: Neural radiance fields for unconstrained photo collections,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Nerf in the wild: Neural radiance fields for unconstrained photo collections,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3593db4d-0d38-4143-b97e-30e75a6b7e54 · outbound

This paper cites Mip-nerf: A multiscale represen- tation for anti-aliasing neural radiance fields,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Mip-nerf: A multiscale represen- tation for anti-aliasing neural radiance fields,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation df67e83c-1b60-4153-9257-f55d886a59ff · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a0fd62cb-6a79-4de7-b894-4444c8225fe3 · outbound

This paper cites Depth-supervised NeRF: Fewer views and faster training for free,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Depth-supervised NeRF: Fewer views and faster training for free,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e07b6b35-5ef9-444c-ae34-5f1a9508807f · outbound

This paper cites Sparf: Neural radiance fields from sparse and noisy poses,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Sparf: Neural radiance fields from sparse and noisy poses,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:58.898376Z digest=sha256:e98389d2d2fb8bf5ef19139a6d62ec8df347df6bfa53ca6329343750585ec561

Observation 24920137-60fe-4060-9575-1d79eb288bd0 · outbound

This paper cites Cvt-xrf: Contrastive in-voxel transformer for 3d consistent radiance fields from sparse inputs,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Cvt-xrf: Contrastive in-voxel transformer for 3d consistent radiance fields from sparse inputs,

Reference 34

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raw_fallback, observed 2026-08-16T04:09:03.479188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:58.984111Z digest=sha256:6a112e2511c4d8eb21856308165eaccd2d55e8f5884ef032596c7810afd23769

Observation 018763c5-c518-4c03-b983-8c39788155e1 · outbound

This paper cites Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:58.989955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:58.989955Z digest=sha256:e45d10bb3c178891b555c138990f2e20c46b70f3bf8e45773a72ed15a26288ad

Observation 8daef18d-dc9b-4546-b730-3950e11017b8 · outbound

This paper cites Neuralangelo: High-fidelity neural surface reconstruction,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Neuralangelo: High-fidelity neural surface reconstruction,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:03.374685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.005012Z digest=sha256:14c5d236c8dea39404dc77b7a52d2e9b2a94ca0788a572d857d787928e5617ef

Observation d4a8f9fc-1e43-4b82-9018-84447051fca9 · outbound

This paper cites Structure-from-motion revis- ited,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Structure-from-motion revis- ited,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:03.352030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.011687Z digest=sha256:849af5d1a0080d7ca8c46166249f31c4abe8d60c10e2c33a7d63b33e4e935555

Observation 3840f2db-1b9a-4bd4-9b27-b8c98c9876b3 · outbound

This paper cites NeRF--: Neural Radiance Fields Without Known Camera Parameters.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields NeRF--: Neural Radiance Fields Without Known Camera Parameters

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:59.018298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:59.018298Z digest=sha256:2abce39897c0d6736f966b65304dd6ab85b640c6f845ce3f5492ed77dd1e78fb

Observation 77cd032c-7992-46a3-8793-957025c5e819 · outbound

This paper cites Barf: Bundle- adjusting neural radiance fields,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Barf: Bundle- adjusting neural radiance fields,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:59.155127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:59.155127Z digest=sha256:4892846f22b23e9609c80a99f90d41ba4ca5ffc4de0ba0e200a130332c69ea9e

Observation d33f8dbd-a01c-4ac6-bf50-df8c9161bf5c · outbound

This paper cites PlenOc- trees for real-time rendering of neural radiance fields,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields PlenOc- trees for real-time rendering of neural radiance fields,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:03.178111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.217960Z digest=sha256:68905f86ac610f4bec785eb3e2347e9085592cf696c867d094c0ae7010579fb2

Observation 88ca4ddb-ccb2-4e37-bde8-976d620b7b21 · outbound

This paper cites Fastnerf: High-fidelity neural rendering at 200fps,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Fastnerf: High-fidelity neural rendering at 200fps,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:03.142363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.225043Z digest=sha256:bdaf90dcc859f070c59571ca50fd67be27651914a74be53f3f3a570425dba616

Observation f9bf0208-8c5a-4293-af44-9d95f10aa2df · outbound

This paper cites Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:02.912587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.233397Z digest=sha256:0ee2fe9ee92d9446ac616815893acb07df4444565ec2cdda47f89d5dd52007fa

Observation a1327d34-87c5-4547-af7b-a00107d0815b · outbound

This paper cites Plenoxels: Radiance fields without neural net- works,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Plenoxels: Radiance fields without neural net- works,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:02.859766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.249201Z digest=sha256:63a223d0ec4f6fa3a9c9f27c9051f7f3d5576f5470bacf6a1b768a3dba0e4fe5

Observation fe16394a-ce38-4a8c-8d90-4e14591bdf40 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields 3d gaussian splatting for real-time radiance field rendering,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:02.754244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.321592Z digest=sha256:2b5a0f05b0c4cb166fd20a0e4f5e911c260a470195eabe6c71a5137e4e801547

Observation 1c64eee5-6125-43cc-825b-f448dce85df1 · outbound

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

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields pixelnerf: Neural radiance fields from one or few images,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:02.571328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.419390Z digest=sha256:18bbbfcf5a396625e4d956b41fe17d2e185798739aa4a1577e66d069bac582d4

Observation 90f7ac54-7eb9-4fc8-a3cc-ee5a51cd9490 · outbound

This paper cites Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:02.542311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.424769Z digest=sha256:f452eedb4d6f6bb2def7fda6f4a3e49eb7d2902d110d741a0dcab20c8258025f

Observation 13b70871-38a9-4326-bdb8-6176a3b673d5 · outbound

This paper cites Nerfingmvs: Guided optimization of neural radiance fields for indoor multi- view stereo,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Nerfingmvs: Guided optimization of neural radiance fields for indoor multi- view stereo,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:59.434574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:59.434574Z digest=sha256:0a6ca72c3b15ee724b580f610193f987f7050f67f3aa64d8e5e158ad4e240b07

Observation 10d67616-aac1-4aca-96dd-9784e1c4630a · outbound

This paper cites Ibrnet: Learning multi-view image-based rendering,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Ibrnet: Learning multi-view image-based rendering,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:02.499596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.443316Z digest=sha256:cc39eb2aef60b6eb3db5be762ae27b4b8be6ba050a9b7b87c882f97e309e110e

Observation 8e0abbb6-45f2-4854-9f43-f2ec3ab62c82 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Efficient geometry-aware 3d generative adversarial networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:02.298888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.449436Z digest=sha256:ec170bfaef5412fde9e05eedeb2bc8a0ad03d332f83b271f258d9c8b4c49062a

Observation 688eaf3f-5992-475a-9165-9ac3e8f12a2f · outbound

This paper cites Lrm: Large reconstruction model for single image to 3d,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Lrm: Large reconstruction model for single image to 3d,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:59.527465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:59.527465Z digest=sha256:3bc538043db2cb647b41a58a672300f98501ff76ae36104fac9c428b2af3b2c2

Observation c093b541-c8c6-40d8-a180-dc97d0145d89 · outbound

This paper cites In- teractive3d: Create what you want by interactive 3d generation,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields In- teractive3d: Create what you want by interactive 3d generation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:02.205560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.620730Z digest=sha256:7ecd05edcdb9bbdaa600111d195b5edaeeecaf59272c56007782d19a7f2c3438

Observation e7dcc094-e38a-44eb-9b3e-f7d1b6ff255c · outbound

This paper cites SPIn-NeRF: Multiview segmentation and perceptual inpainting with neural radiance fields,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields SPIn-NeRF: Multiview segmentation and perceptual inpainting with neural radiance fields,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:02.183373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.669193Z digest=sha256:39c4bf8c56c87fe1646c5f080b55e5a0c770bf0a06c1ea62659148fffbf9fa4a

Observation e98c8bff-2bb4-4b21-8579-f892a077d2aa · outbound

This paper cites Gscream: Learning 3d geometry and feature consistent gaussian splatting for object removal,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Gscream: Learning 3d geometry and feature consistent gaussian splatting for object removal,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:02.027261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.679278Z digest=sha256:c97e238c0fa1a7cc48256c10a18310d2d533759610aa0481bda26cb573a580fd

Observation f52fec7c-4358-4f0c-9b65-92bfbdf07d5c · outbound

This paper cites Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:59.686990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:59.686990Z digest=sha256:15f35e3f046948f570573a401602edce209044e6ca66f1c8d3b9d7405e5b0bb6

Observation 87dc3f35-2305-4b93-98bc-2e16a6cf5f33 · outbound

This paper cites 3d gaus- sian splatting for real-time radiance field rendering,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields 3d gaus- sian splatting for real-time radiance field rendering,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.875680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.697923Z digest=sha256:f821fe3085dc634cb8617297058e66d0b531bf8fb66d5dff9aa34c3a7fb6fdea

Observation e2532fce-5cf6-4c1f-adcc-aa28146aad45 · outbound

This paper cites A hierarchical 3d gaussian representation for real- time rendering of very large datasets,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields A hierarchical 3d gaussian representation for real- time rendering of very large datasets,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.851019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.704836Z digest=sha256:402cf670b9897e960a8224d531bfb713eb63c15f80b3e2a35d0cddfb9e8e280e

Observation 53c598aa-cac5-4727-9840-ce8d7f63d8ad · outbound

This paper cites CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:59.716241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:59.716241Z digest=sha256:8c25a42fe82c5922a1926e64afbec7d6113dfa3cc3eea06f6aa430b2b90c29b2

Observation 6d1761cc-48f5-4436-b4f8-c0cd53ead8f9 · outbound

This paper cites DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:59.809908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:59.809908Z digest=sha256:4ad1376bffc5588d0edf7a2e1ec5c0aff0ebefd67c9573e12de8c598b8fc5e50

Observation 7489d2ad-007e-44bb-acd6-7d4818edd63f · outbound

This paper cites Vastgaussian: Vast 3d gaussians for large scene reconstruction,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Vastgaussian: Vast 3d gaussians for large scene reconstruction,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.833130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:08:59.818266Z digest=sha256:ad6a5779d91f5113179396e50651b209ae1d1768a6ab87734306b965c8e9b5bc

Observation 88bbe6bc-82a9-468d-8806-a4913a96ff23 · outbound

This paper cites PyGS: Large-scale Scene Representation with Pyramidal 3D Gaussian Splatting.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields PyGS: Large-scale Scene Representation with Pyramidal 3D Gaussian Splatting

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:59.825860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:59.825860Z digest=sha256:cf8224de29f4e6b55542db432056bd872ab99be2637797909445398deac9bfd9

Observation edf903f4-5d62-4f18-a215-f198cb62f36f · outbound

This paper cites Occlugaussian: Occlusion-aware gaussian splatting for large scene reconstruction and rendering,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Occlugaussian: Occlusion-aware gaussian splatting for large scene reconstruction and rendering,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:59.951519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:59.951519Z digest=sha256:12e8dc202e3d80ee2b810afb21209f1e8eefa7a9db95a1704adff0838c09f142

Observation 93b60416-e745-4e94-89d4-a04021b75714 · outbound

This paper cites Adaptive mixtures of local experts,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Adaptive mixtures of local experts,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.813982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:09:00.073555Z digest=sha256:110ccb065f9ebbbfe54790b5ed56cda7b69f4c0b250a94524fd9562028fecbd4

Observation f1793d8b-1881-47e0-9aed-65b82799eb62 · outbound

This paper cites Hierarchical mixtures of experts and the em algorithm,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Hierarchical mixtures of experts and the em algorithm,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.793599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:09:00.208214Z digest=sha256:eab1f7e4524dac10b441fd7b6bab690847ba11615b045b4635c7a29059ffd006

Observation 7d741737-7765-4563-baa8-02b729bbe97b · outbound

This paper cites Gshard: Scaling giant models with conditional computation and automatic sharding,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Gshard: Scaling giant models with conditional computation and automatic sharding,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.656991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:09:00.214466Z digest=sha256:6c854c712482044fd92170489646f03e4a9ddcee433b0c9c474eabd1c2f95649

Observation 5cfc4a90-994a-46f1-bc5d-c12653137da6 · outbound

This paper cites Scaling vision with sparse mixture of experts,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Scaling vision with sparse mixture of experts,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.599057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:09:00.318880Z digest=sha256:ea8a4bdd7ad863ca8456b2243602034241bc47b01e7a150ef20deea1fab4dd1d

Observation 94f66052-8ee8-4dbc-a485-9b43f34fd235 · outbound

This paper cites Taskexpert: Dynamically assembling multi-task representations with memorial mixture-of-experts,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Taskexpert: Dynamically assembling multi-task representations with memorial mixture-of-experts,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.566385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:09:00.382289Z digest=sha256:816f61a153474d11c834dea9feda2c821842f469aa0b41d727e8889914be74ec

Observation 1c49c657-d4f6-44c0-ba6a-a5062d2f7904 · outbound

This paper cites Einops: Clear and reliable tensor manipulations with einstein-like notation,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Einops: Clear and reliable tensor manipulations with einstein-like notation,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.540785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:09:00.397974Z digest=sha256:bccbbdee507a2275476b51b268208df6727d6fa1d0908102d381e9b35c133902

Observation eb3765d3-4d82-4dc4-b365-3d684791e95e · outbound

This paper cites Hash layers for large sparse models,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Hash layers for large sparse models,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.513371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:09:00.406066Z digest=sha256:a22928ee1cff6b6ed1942dc5953306c899f0b70e6dd77f50589c681d3da1a15c

Observation 02a9aae3-a7dd-47ca-8245-bee0c03ae1ad · outbound

This paper cites Base layers: Simplifying training of large, sparse models,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Base layers: Simplifying training of large, sparse models,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.464368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8b975660-8050-4594-bf97-1f8a05ec4f68 · outbound

This paper cites Mixture-of-experts with expert choice routing,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Mixture-of-experts with expert choice routing,

Reference 70

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation eec61f59-6c65-47dc-a4e4-a0290a30d6ca · outbound

This paper cites Mesh- tensorflow: Deep learning for supercomputers,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Mesh- tensorflow: Deep learning for supercomputers,

Reference 71

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f59fb227-996d-44b6-9b48-d52f3cb122b6 · outbound

This paper cites Deepspeed-moe: Advancing mixture- of-experts inference and training to power next-generation AI scale,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Deepspeed-moe: Advancing mixture- of-experts inference and training to power next-generation AI scale,

Reference 72

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7d798150-35e7-44d9-b3a2-14368f5dfd96 · outbound

This paper cites Tutel: Adaptive Mixture-of-Experts at Scale.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Tutel: Adaptive Mixture-of-Experts at Scale

Reference 73

Resolution
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no resolver link, observed 2026-08-16T04:09:00.574953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5afbf9b4-0256-48c0-a6e0-d8a3aec53739 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 74

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 57be1ffc-7e2d-46fa-bf53-f4edbf5dec6b · outbound

This paper cites DeepSeek-V3 Technical Report.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields DeepSeek-V3 Technical Report

Reference 75

Resolution
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no resolver link, observed 2026-08-16T04:09:00.637165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3e25f363-3a84-4067-b384-7685d53c6b0c · outbound

This paper cites Ma- trixcity: A large-scale city dataset for city-scale neural rendering and beyond,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Ma- trixcity: A large-scale city dataset for city-scale neural rendering and beyond,

Reference 76

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c2a302bc-d8ae-4068-ac66-9082b922c243 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Image quality assessment: from error visibility to structural similarity,

Reference 77

Resolution
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no resolver link, observed 2026-08-16T04:09:00.679646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 086e8aa8-aec6-43ad-af38-2beea04aada1 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields The unreasonable effectiveness of deep features as a perceptual metric,

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-16T04:09:00.688234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 69c0efe5-be37-4ca9-ad02-491839a0f534 · outbound

This paper cites 3d is here: Point cloud library (pcl),.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields 3d is here: Point cloud library (pcl),

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.130049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 50ec26bc-d712-46eb-bc6a-f6f7c1da22a5 · outbound

This paper cites Zip-nerf: Anti-aliased grid-based neural radiance fields,.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Zip-nerf: Anti-aliased grid-based neural radiance fields,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:09:01.086040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.