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Paper Citation Record · LEDGER

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2411.11374.

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

pith.paper-citation-record.v1
2411.11374 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:44:10.852274Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

32 of 32 outbound references displayed

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  • unresolved18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a24bd64-eda5-46b9-a129-b1d699a3779c · outbound

This paper cites write newline.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T18:44:10.756470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:44:10.756470Z digest=sha256:ffd60d89470e1cb382b978e9d4ca9f59609c33a97abe035a9947fd4690516849

Observation 57a930cc-6472-4fa3-9862-1897b6f23384 · outbound

This paper cites Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P

Reference 2

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unresolved
no resolver link, observed 2026-08-12T18:44:10.760675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:44:10.760675Z digest=sha256:a999102018122d743d43c79727cee0703e6d1c06091eea3c908ae8e0ef6acafb

Observation b5e54f68-0f88-4644-8593-2047f4261410 · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 3

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unresolved
no resolver link, observed 2026-08-12T18:44:10.763891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b42d6497-adf5-4342-ab6d-e3755dc97f45 · outbound

This paper cites Chan, Connor Z.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Chan, Connor Z

Reference 4

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:44:10.767053Z digest=sha256:597bb4aac99ccd83866e4a88e86a237cb5f6606d6532358cf7794bde754df46f

Observation a99cc3f8-638f-406e-8a96-a6782bc625d2 · outbound

This paper cites Tensorf: Tensorial radiance fields.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Tensorf: Tensorial radiance fields

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T18:44:10.770336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:44:10.770336Z digest=sha256:c28d740bee5b0b97970a585214fa6b7f82594011becec9523077545736d9cc73

Observation f4c6a5c0-71c2-4b88-9cdf-ccb988483271 · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Plenoxels: Radiance fields without neural networks

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 2026-08-19T06:32:44.657259+00:00.

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Observation 56afd514-5570-4015-8dfa-37337c394916 · outbound

This paper cites Efficientnerf efficient neural radiance fields.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Efficientnerf efficient neural radiance fields

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 2026-08-19T06:32:44.657259+00:00.

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Observation ac7a557f-ee56-415d-a270-e0643430c4e5 · outbound

This paper cites Motion-oriented compositional neural radiance fields for monocular dynamic human modeling.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Motion-oriented compositional neural radiance fields for monocular dynamic human modeling

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 2026-08-19T06:32:44.657259+00:00.

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Observation cd6c38a0-7f69-45c3-a72f-c71ebb37bf8b · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes 3d gaussian splatting for real-time radiance field rendering

Reference 9

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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 aa5ee230-2fdb-424d-a76a-3290e2f921cc · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Gshard: Scaling giant models with conditional computation and automatic sharding

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1830a535-e697-4856-a2bb-e7b0d44aa6dc · outbound

This paper cites NerfAcc: A General NeRF Acceleration Toolbox.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes NerfAcc: A General NeRF Acceleration Toolbox

Reference 11

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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 2f5fd984-df78-4b10-9963-0447479c2f74 · outbound

This paper cites Neural sparse voxel fields.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Neural sparse voxel fields

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fd49b825-735c-4c3f-8b3f-c5e302f49e5d · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Nerf in the wild: Neural radiance fields for unconstrained photo collections

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4e38d5fb-17fe-401b-8227-69c79d7f5bea · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Switch-ne RF : Learning scene decomposition with mixture of experts for large-scale neural radiance fields

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 2026-08-19T06:32:44.657259+00:00.

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Observation 672c21a0-d3e6-4ed7-9c01-7b6bd4cdf7c8 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Srinivasan, Matthew Tancik, Jonathan T

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08d46d5c-606c-48d4-a025-7cbe6739c306 · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Instant neural graphics primitives with a multiresolution hash encoding

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 2026-08-19T06:32:44.657259+00:00.

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Observation dc0965fb-f6d7-4ddc-a5a4-d923c53d4d03 · outbound

This paper cites Implicit event-rgbd neural slam.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Implicit event-rgbd neural slam

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 97ad54c8-959b-4063-818e-5043f601da7c · outbound

This paper cites Srinivasan, Jonathan T.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Srinivasan, Jonathan T

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 2026-08-19T06:32:44.657259+00:00.

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Observation fca98693-0dd5-4460-a3a9-3c4563918ca1 · outbound

This paper cites Sign-agnostic conet: Learning implicit surface reconstructions by sign-agnostic optimization of convolutional occupancy networks.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Sign-agnostic conet: Learning implicit surface reconstructions by sign-agnostic optimization of convolutional occupancy networks

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 2026-08-19T06:32:44.657259+00:00.

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Observation 6e59201e-0b4e-4b8d-8612-8806ae722732 · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs

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 2026-08-19T06:32:44.657259+00:00.

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Observation 6cc367ff-16e9-40b9-8d66-56ec7feefa33 · outbound

This paper cites Learning unified decompositional and compositional nerf for editable novel view synthesis.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Learning unified decompositional and compositional nerf for editable novel view synthesis

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 561b884e-98aa-4e96-aefc-c9d5c4fa1a89 · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Image quality assessment: from error visibility to structural similarity

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c94bf3c5-66f1-45e3-8cf8-ac5a3b837072 · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes PyGS: Large-scale Scene Representation with Pyramidal 3D Gaussian Splatting

Reference 23

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 328c7cc9-62e6-4df8-a134-932e956f2193 · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Grid-guided neural radiance fields for large urban scenes

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 61762f8c-2fe4-4b82-b0aa-5b02f3ad7346 · outbound

This paper cites Point-nerf: Point-based neural radiance fields.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Point-nerf: Point-based neural radiance fields

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 5d7e43e5-8f49-41b5-91c8-8e58879ce170 · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes The unreasonable effectiveness of deep features as a perceptual metric

Reference 26

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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 0b6c77f6-17d5-4ece-97f6-3e76b59ba01e · outbound

This paper cites Nerflets: Local radiance fields for efficient structure-aware 3d scene representation from 2d supervision.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Nerflets: Local radiance fields for efficient structure-aware 3d scene representation from 2d supervision

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 2026-08-19T06:32:44.657259+00:00.

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Observation 48287e75-2535-4a6f-95f1-1438bc87dc87 · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Reference 28

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d6cfcca5-31f6-4a1d-ab98-eb5154f358d3 · outbound

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

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Cvt-xrf: Contrastive in-voxel transformer for 3d consistent radiance fields from sparse inputs

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bd014617-a900-4127-b363-eb59d25c1e4f · outbound

This paper cites @esa (Ref.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes @esa (Ref

Reference 30

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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 626fe37e-9637-4ebb-b2d8-3a96bcb593ad · outbound

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LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Unresolved cited work

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b7a821b7-31a3-4502-8901-ecf245dbfec1 · outbound

This paper cites an unresolved cited work.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Unresolved cited work

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.