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Paper Citation Record · LEDGER

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives

As of 12 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2411.19903.

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

pith.paper-citation-record.v1
2411.19903 v4

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:44:28.492566Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:54:00.675153Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:54:05.835390Z

Reference resolution

64 of 64 outbound references displayed

  • verified exact3
  • verified fuzzy40
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e040cf8-9bbb-4d54-840e-fbfc00fec61a · outbound

This paper cites International Journal of Electronics, 62(3): 473–479, 1987.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives International Journal of Electronics, 62(3): 473–479, 1987

Reference 1

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verified exact
doi, observed 2026-08-12T05:44:28.531859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7fb8e853-f9f4-4d81-b333-2834ddfd3d00 · outbound

This paper cites Sine: Semantic-driven image-based nerf edit- ing with prior-guided editing field.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Sine: Semantic-driven image-based nerf edit- ing with prior-guided editing field

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.213527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.279954Z digest=sha256:ca8e3c97f3cf44dca6e39dd2276e0dc7f24d4671c6c918f455841ac82171d199

Observation 759c849a-7756-4c5f-9b23-951765668ba0 · outbound

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

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 3

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no resolver link, observed 2026-08-12T05:44:28.283829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.283829Z digest=sha256:b9f52b9d0890bc72c5ecc8838727f1b982ae0b347397360e0366c268aece28d3

Observation 18bb86f4-afe1-4a97-bc50-c7e4d34fc7d0 · outbound

This paper cites CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:44:28.672056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.287516Z digest=sha256:c71186811bc4bc7a829d033ce8c3deb134da2cef8c83cb86be0d4a4689e1c476

Observation 120ee2be-39c7-4a05-9dcb-4263c8420cc8 · outbound

This paper cites Clnerf: Continual learning meets nerf.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Clnerf: Continual learning meets nerf

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.196592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.291607Z digest=sha256:6fcaa4f49dfddfc7f5453698b8f63e3eaf546b0e9f41f77b5fe43df8231cb7f2

Observation 9e3012e3-0dd8-4db4-bf75-62cace03b9d7 · outbound

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

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.186018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.295449Z digest=sha256:834a357f2cb11275a6dfbfbb1af500926d824cf29446c45a5a55383ed8c7bbbf

Observation b8b3cafb-d5a1-47f9-91ba-2df0ab8ac783 · outbound

This paper cites Tensorf: Tensorial radiance fields.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Tensorf: Tensorial radiance fields

Reference 7

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no resolver link, observed 2026-08-12T05:44:28.299306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.299306Z digest=sha256:3ee35e2a86d8d284983dbc6c8021d966652f7c4471e3ea8b11744a4a778b84c5

Observation 7645d996-aef4-4809-81d6-85deee8a1e09 · outbound

This paper cites Gm-nerf: Learning generalizable model-based neural radiance fields from multi-view images.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Gm-nerf: Learning generalizable model-based neural radiance fields from multi-view images

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.168837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.302791Z digest=sha256:cbb18b9a7dc06aa7ec104db5e95a92fb5b283510b9da91b9c3707abe0d0ac760

Observation 82cc9e51-2d0b-48f2-8d2e-a4447bdff80f · outbound

This paper cites Local-to-global registration for bundle-adjusting neural radiance fields.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Local-to-global registration for bundle-adjusting neural radiance fields

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.158032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.306231Z digest=sha256:8969cf7e8471d3deaed79a5398bb48398423d68794f8e228dbb1e89698fbdc59

Observation 202e11a4-d7f2-4aa4-9d2d-5ac390f332e7 · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 10

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no resolver link, observed 2026-08-12T05:44:28.309671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.309671Z digest=sha256:0ca9358d966a63db814c634951a70a30417b6461c43fbf1585d3d3d8641802e5

Observation 2fde03b8-c7c0-4cfe-b3db-8950bc189d56 · outbound

This paper cites Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures

Reference 11

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raw_fallback, observed 2026-08-12T05:44:29.140504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.313008Z digest=sha256:e29cf8f41e49f4f23c3b5b476fce8af0df7427b20c63c0fecb22d76a49e4f791

Observation 06780bc4-e3b4-4a42-bf87-91420b1b2a21 · outbound

This paper cites Meil- nerf: Memory-efficient incremental learning of neural radiance fields.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Meil- nerf: Memory-efficient incremental learning of neural radiance fields

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:28.317278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.317278Z digest=sha256:033065da651e714502b5d5ef365591b741d15fa75ad7948b20b8d8ab690b4007

Observation 9c54de14-5ca5-4f6f-af21-6ae1be53425c · outbound

This paper cites Plgslam: Progressive neural scene representation with local to global bundle adjustment.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Plgslam: Progressive neural scene representation with local to global bundle adjustment

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.129727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.320896Z digest=sha256:8af59bf8cdd5107202cdbdb597ca28e3ee433eb88d0aa7c48548b8f78f6c1a5d

Observation f7878e92-5732-4e33-bce3-4625c53ac83b · outbound

This paper cites One is all: Bridging the gap between neural radiance fields architectures with progressive volume distillation.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives One is all: Bridging the gap between neural radiance fields architectures with progressive volume distillation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.119800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.324468Z digest=sha256:7b828c5cb3acc6ef9bdd5d7216853751b4d6fed43a3c4dcf450d349d82a25c10

Observation 319e451e-5c7e-4f2c-9c15-d9d8e363bb03 · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Plenoxels: Radiance fields without neural networks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.108935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.328080Z digest=sha256:ed6243096643c61f85fb36fb7d5b09ecec9a5932a47a1a2bbe2a35b7b0d4ee58

Observation 19425f7f-24e5-4b0f-86ed-c202cdd35188 · outbound

This paper cites Style-nerf2nerf: 3d style transfer from style-aligned multi-view images.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Style-nerf2nerf: 3d style transfer from style-aligned multi-view images

Reference 16

Resolution
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raw_fallback, observed 2026-08-12T05:44:29.097238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.331566Z digest=sha256:6d3dfdaeaa08c1871da65f9efd2c049488ca10b2508ebde8747db03cbdd99c33

Observation fad2c801-3886-4966-b254-da22a2fc4972 · outbound

This paper cites On quantiz- ing implicit neural representations.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives On quantiz- ing implicit neural representations

Reference 17

Resolution
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raw_fallback, observed 2026-08-12T05:44:29.086025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.334793Z digest=sha256:47dc060a6ed8df4ce38f7e0086548efdec125e8d87439838b6e5c3f64f28a177

Observation d966185d-9426-4198-8f0a-d0524774e2df · outbound

This paper cites Instruct-nerf2nerf: Editing 3d scenes with instructions.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Instruct-nerf2nerf: Editing 3d scenes with instructions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:28.338193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.338193Z digest=sha256:b1e338976309a08cbf5d2c2518f485c6323c24eaf20c71d80a7be8adb7845812

Observation 71b980be-0a32-411a-a76b-d3f1a5de107e · outbound

This paper cites Cp-nerf: Condi- tionally parameterized neural radiance fields for cross-scene novel view synthesis.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Cp-nerf: Condi- tionally parameterized neural radiance fields for cross-scene novel view synthesis

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.068505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.341611Z digest=sha256:89db3568748df89a2f4f30f9277dffb88790dd5b8e20b62dc31293f8b7f29b09

Observation bddeab42-f488-4082-9e9f-54af47984b36 · outbound

This paper cites Learning to stylize novel views.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Learning to stylize novel views

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.055418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.344918Z digest=sha256:d41700c2411fe90be7182b3c5b3f66c791eef996e61326eaf7265e9da6a855f8

Observation 95bbb511-d723-4699-bc71-a6e518ad134d · outbound

This paper cites 3D Gaussian Splatting for Real-Time Radiance Field Rendering.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives 3D Gaussian Splatting for Real-Time Radiance Field Rendering

Reference 21

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no resolver link, observed 2026-08-12T05:44:28.348250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.348250Z digest=sha256:77bec6afa9b2163d98c4875b50500ac28bfe56de52ba37301231aef933cd0b40

Observation 0a003ba4-4812-4a66-9ffe-78334a6131b5 · outbound

This paper cites Infonerf: Ray entropy minimization for few-shot neural volume rendering.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Infonerf: Ray entropy minimization for few-shot neural volume rendering

Reference 22

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no resolver link, observed 2026-08-12T05:44:28.351534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.351534Z digest=sha256:8eaeedf93e168d60c6e85566c9fb392ffe1b251fb752036f9b6bc8deb8dd5296

Observation 309782ad-bf47-4b47-91cb-a9eeed4e6436 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Overcoming catastrophic forgetting in neural networks

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.036021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.354852Z digest=sha256:3a7d2e68eab83acbc08d29d31ca33c7eea93eed8e0aba42f203f4b44899d6994

Observation 1b5aadf2-d5b5-47ef-905e-47c0b572ed92 · outbound

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

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 24

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no resolver link, observed 2026-08-12T05:44:28.358068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.358068Z digest=sha256:cd0817527027e49ebc11b76d51148657e84c0b85248626ca186bd2d0a2905c10

Observation 7db68914-1a70-4190-97b8-b03be9f850b4 · outbound

This paper cites Point- based neural rendering with per-view optimization.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Point- based neural rendering with per-view optimization

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.017293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.361266Z digest=sha256:339455702ee3d8c68ee38d4597c2423da8c1e05aa7bc49ec7a42f43b473c8f41

Observation eca92ac4-ec4b-4e89-bd49-de14e15b2a5f · outbound

This paper cites Few-shot neural radiance fields under unconstrained illumination.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Few-shot neural radiance fields under unconstrained illumination

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:29.006334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.364971Z digest=sha256:a42029811cef1f1f4634f748b6881b88f9c16a5c4c60fc7e5a32fc9948dc09b9

Observation 22f256f3-88ae-4d46-b734-cd33d2b9b176 · outbound

This paper cites Nerfacc: Efficient sampling accelerates nerfs.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Nerfacc: Efficient sampling accelerates nerfs

Reference 27

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no resolver link, observed 2026-08-12T05:44:28.368305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.368305Z digest=sha256:38ddafefb5467ceebfb9068935f1e95543dbb7cd1dca95c8655d9bc7be42db68

Observation d40bf1b5-ad1d-4b83-bf08-cdc80828749f · outbound

This paper cites Learning without forgetting.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Learning without forgetting

Reference 28

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no resolver link, observed 2026-08-12T05:44:28.371918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.371918Z digest=sha256:07035f1b87cace295d9d3b99294cf7f11d69723447ca43696626bb2f5e17b8a2

Observation ce86f729-ec47-44a3-acaf-d100f8e60c94 · outbound

This paper cites Neural sparse voxel fields.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Neural sparse voxel fields

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.983255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.375126Z digest=sha256:9f1d861c41e7418e3ec720d7319164955bf8ed2c30e1b9136d3fce0fe3c40c08

Observation fa2ebf28-9170-44ff-bc92-f254f0d1b9fe · outbound

This paper cites Packnet: Adding multiple tasks to a single network by iterative pruning.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Packnet: Adding multiple tasks to a single network by iterative pruning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:28.377690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.377690Z digest=sha256:81e6ee52fa68ff6199e390d0adec6d08593d96467f61f23d6f41755bc3ad210c

Observation 29d72d70-deac-4466-a4a6-81dab9f28b7d · outbound

This paper cites Optical models for direct volume rendering.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Optical models for direct volume rendering

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.966418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.380368Z digest=sha256:d4dd71ded61fe85170509bed2eb445eea304cf3a15757ee7c661db76b4763bbc

Observation c3830098-c314-4558-aa0d-75f2a95e2cb6 · outbound

This paper cites Local light field fusion: Practical view synthesis with prescriptive sampling guidelines.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Local light field fusion: Practical view synthesis with prescriptive sampling guidelines

Reference 32

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unresolved
no resolver link, observed 2026-08-12T05:44:28.382960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.382960Z digest=sha256:fea0906ab56d76f944ced739d037adf53809c0d9142f6bcf72c73da7849fd1f4

Observation c97b0cfc-b590-4edb-ae09-fd1b8aa4d30d · outbound

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

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:28.385612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.385612Z digest=sha256:db51438dd146624de9f7faac490edc14d686e1341c3d2b0b39acbdb7da5b2561

Observation 47b0c282-6371-46ab-b2bc-bf1e82ab0505 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.ACM transactions on graphics (TOG), 41(4):1–15, 2022.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Instant neural graphics primitives with a multiresolution hash encoding.ACM transactions on graphics (TOG), 41(4):1–15, 2022

Reference 34

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unresolved
no resolver link, observed 2026-08-12T05:44:28.388639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.388639Z digest=sha256:5ab51f999219bd9a3951a69e9d02a6063b548831373c28a6515fbf90d5bb4ab4

Observation bcbf068a-8591-4ac6-af30-857adc6626ed · outbound

This paper cites SNeRF: Stylized Neural Implicit Representations for 3D Scenes.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives SNeRF: Stylized Neural Implicit Representations for 3D Scenes

Reference 35

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unresolved
no resolver link, observed 2026-08-12T05:44:28.391407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.391407Z digest=sha256:5b07d3fd9236eea8f853fafc7e28e293f3b8c48b9480f17ef81623ca431e158f

Observation f9e80ddd-0fe2-4fd5-b274-cb1e9e3c3037 · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape representation.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Deepsdf: Learning continuous signed distance functions for shape representation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.938230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.394489Z digest=sha256:d0690593d1ebe75cb2924dda670814d48db79131e569e98f8704777fc9e88bac

Observation 3f4ae700-1ac3-4ff3-98f9-cfba2bf48d3d · outbound

This paper cites Instant con- tinual learning of neural radiance fields.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Instant con- tinual learning of neural radiance fields

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.927808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.397393Z digest=sha256:6a29eff5811d0fcadeb58dff565a1e66afc4cfc25ca8404afe424999c4c254b0

Observation 3ab4a1c2-b5b7-4e15-a3e0-48a7fa316ae6 · outbound

This paper cites GitHub - maximeraafat/BlenderNeRF: Easy NeRF synthetic dataset creation within Blender — github.com.https://github.com/maximeraafat/ BlenderNeRF.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives GitHub - maximeraafat/BlenderNeRF: Easy NeRF synthetic dataset creation within Blender — github.com.https://github.com/maximeraafat/ BlenderNeRF

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.916089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.400740Z digest=sha256:67052a5b358b418df79da84a93cb872c07e5c219a7c35c0ef7b8c71d2fe63c46

Observation 862dac01-eb2d-40e3-bd35-14b7f0323e46 · outbound

This paper cites An efficient representation for irradiance environ- ment maps.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives An efficient representation for irradiance environ- ment maps

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.905011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.404186Z digest=sha256:9db97894857ee31c981133d8e561eea5d3ecf4977d91d4f8850da0da8243b789

Observation 77e209ea-9386-4383-9d3a-c935e3553027 · outbound

This paper cites Encoder based lifelong learning.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Encoder based lifelong learning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.893906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.407514Z digest=sha256:98756d7532ba0a3842c19041290b794e961384021ab9a7e15608be981a724b0c

Observation 575f49bc-1414-46ed-bcdc-868d2ecd7529 · outbound

This paper cites Catastrophic forgetting, rehearsal and pseudorehearsal.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Catastrophic forgetting, rehearsal and pseudorehearsal

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.881240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.411017Z digest=sha256:ccb30aef5aaef73f593ba02772af6a112c20e2f75fb7a2e70657b394e95351b8

Observation 724c69ba-d449-4cb1-905e-d9690d180b0c · outbound

This paper cites Continual learning with deep generative replay.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Continual learning with deep generative replay

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:28.414647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.414647Z digest=sha256:d2e8ffb76d9eccff5a4461e1081e841ee72dd226b5f586cadaf6413db8b6dfad

Observation cf244fef-9c3a-417b-b45c-1ec09c8a46cd · outbound

This paper cites Binary radiance fields.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Binary radiance fields

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.864285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.417953Z digest=sha256:ad9e91cc5f1c19210f16987ddae5a63eba7e746765cd69d50bf49079451fffef

Observation e808f728-4c13-43df-8d8e-bcd120e75eba · outbound

This paper cites imap: Implicit mapping and positioning in real-time.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives imap: Implicit mapping and positioning in real-time

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.853724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.421361Z digest=sha256:b5c5bca0d613d20570a4ad0aab7a864d3657205003bb42b4c9d0fdc1b67843f3

Observation fc70f6ee-021b-4d67-8ed3-fa9132785a3d · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Fourier features let networks learn high frequency functions in low dimensional domains

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.842479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.424838Z digest=sha256:f0a2e7f8256b97d3419a95f5dba35f9b61163f5676e18c820c2a73f95a68529f

Observation fabf703d-980a-49ad-aa0b-ac2129618c5b · outbound

This paper cites Compressible- composable nerf via rank-residual decomposition.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Compressible- composable nerf via rank-residual decomposition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.830903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.428262Z digest=sha256:eeb0edd3f7ce137d1545d20e315dacbc02897ac7c6d4ae0984827ab607148f91

Observation 2e46bb97-be48-4c7c-ac3e-ceda649f2280 · outbound

This paper cites Optimized spatial hashing for collision detection of deformable objects.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Optimized spatial hashing for collision detection of deformable objects

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.820203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.431868Z digest=sha256:357695002e1491d49c1da1f88bfa70e88579a4e3a8fb27ffa9c945ec952eeac5

Observation 24717182-4908-4966-8c42-06a13bf43f08 · outbound

This paper cites Visualizing data using t-sne.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Visualizing data using t-sne

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.808310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.435466Z digest=sha256:8c430dbdd4d6bd293e68fbe7a6145f76ef5aeddcd26253a2bd32477b2e771a22

Observation e346df05-4cc2-400e-9af0-e33e3d019e91 · outbound

This paper cites Learning neural duplex radiance fields for real-time view synthesis.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Learning neural duplex radiance fields for real-time view synthesis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.798372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.439004Z digest=sha256:ded184f9a551046f29bb7eb94bb8059a9f42d98ca8620922ee600c74833ceec3

Observation 9428aa5b-b121-4856-a6f8-09285c7977c1 · outbound

This paper cites Sparsenerf: Distill- ing depth ranking for few-shot novel view synthesis.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Sparsenerf: Distill- ing depth ranking for few-shot novel view synthesis

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.788066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.442795Z digest=sha256:e14120ce20c7230f592f7794f681da5061761059c2f5a32432812e1f41a507dc

Observation ad172b8a-785c-43f6-9fc5-85af1761121e · outbound

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

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:28.446171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.446171Z digest=sha256:28d3e9fd8beba1fdfdbdbc85bffea0105be2d9704cd8662954ffd3e714338e40

Observation bd26e02b-63d6-47bd-a5e2-848ee7a5f6ea · outbound

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

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Ibrnet: Learning multi-view image-based rendering

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:28.449757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.449757Z digest=sha256:8e0641c4b05262e51cd111e6ffdc0ea105b1986fa7b239bfaafce5e70ae6276d

Observation 78279dd6-b722-4ec5-bdd0-a078616938ef · outbound

This paper cites Rip-nerf: learning rotation-invariant point-based neural radiance field for fine-grained editing and compositing.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Rip-nerf: learning rotation-invariant point-based neural radiance field for fine-grained editing and compositing

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.771252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.453381Z digest=sha256:ae6d07539a4640ec124a3d06d38c8e4b889ec34fc89f576f4096ad4f3386534f

Observation f8e0e099-8af6-45e2-9eee-24adbdb49625 · outbound

This paper cites SCARF: Scalable Continual Learning Framework for Memory-efficient Multiple Neural Radiance Fields.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives SCARF: Scalable Continual Learning Framework for Memory-efficient Multiple Neural Radiance Fields

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:44:28.558506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.456993Z digest=sha256:920031de46f1a9d0dff142ab53279102acbffcd6e4b164bb951490856c34ff8d

Observation 4075d670-7fa0-43af-a4b3-3c420aa70b8b · outbound

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

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Image quality assessment: from error visibility to structural similarity

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.760177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.460797Z digest=sha256:62214d9378b3816cf03b34f516eaec1f0e5fc677fc7e15a6c58399b3007c24f1

Observation 841bcd8c-ad82-4c0b-96d0-f6398cc066da · outbound

This paper cites Diffusionerf: Regularizing neural radiance fields with denoising diffusion models.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Diffusionerf: Regularizing neural radiance fields with denoising diffusion models

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.749769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.464297Z digest=sha256:ac429cba277e958aa5e11f60557bf57c2a522305657793b317a343128614b735

Observation 348b0008-0112-4427-8599-399ed6f4b475 · outbound

This paper cites Contranerf: Generalizable neural radiance fields for synthetic-to-real novel view synthesis via contrastive learning.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Contranerf: Generalizable neural radiance fields for synthetic-to-real novel view synthesis via contrastive learning

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.739051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.467745Z digest=sha256:b137efc752a257a13f35cb196e21da544d88b7ec421fcdcf8816b88084f59a04

Observation e565f978-8da2-475f-a15a-50f98e29a6a7 · outbound

This paper cites Freenerf: Improving few-shot neural ren- dering with free frequency regularization.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Freenerf: Improving few-shot neural ren- dering with free frequency regularization

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.727817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.471384Z digest=sha256:5b22cbe0ebf15951d2d500ed952f70fe71d946d6d291c789274b11ddc7f40d04

Observation c755f6af-7ac9-4045-a378-9841dac55a2d · outbound

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

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives pixelnerf: Neural radiance fields from one or few images

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:28.474921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.474921Z digest=sha256:7dc02cab5ac324742b6d862e548daeff3d082d32834ffe2b66bbe041931c689e

Observation 77f48598-1901-40f0-bb13-51f0d770e839 · outbound

This paper cites IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:28.478523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.478523Z digest=sha256:a1b8fe483e7a9c08d8ead0f2c92d4630ebe2a3bf52859873974142487abe8a95

Observation 292a31f3-ead8-4167-b830-88fc8508ebef · outbound

This paper cites Adding conditional control to text-to- image diffusion models.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Adding conditional control to text-to- image diffusion models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.710746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.482185Z digest=sha256:2f0820422dee48b249ba64b2403cbd734a84fdf72ccbb4a5323141c4aa2a304d

Observation 790e0c59-84a6-47bf-bd9a-072a2b4d4f35 · outbound

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

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives The unreasonable effectiveness of deep features as a perceptual metric

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:28.485681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:28.485681Z digest=sha256:c9661f2b838a937ca9e39f654fc6d5a6754e90e9dcd5b2c6e41ad96ef6a6a5d3

Observation ef66c30a-e663-4488-a817-66a153e19654 · outbound

This paper cites Nerfusion: Fusing radiance fields for large-scale scene reconstruction.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives Nerfusion: Fusing radiance fields for large-scale scene reconstruction

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.693724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.488900Z digest=sha256:b5275e70d92972a2970e24e059c48ec6edb4626e891478c7c5ffb11469db0b7d

Observation 6e5b4948-9998-4221-831d-af3eb17d54e8 · outbound

This paper cites The experimental setup for the forgetting experiment is that we first fine-tune a scene on MVSNeRF and IBRNet.

Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives The experimental setup for the forgetting experiment is that we first fine-tune a scene on MVSNeRF and IBRNet

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:44:28.683052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-12T05:44:28.492566Z digest=sha256:3b0d4cbb2e9e6163a6f9badf53b4d3a85fc58b6cf4b8db14dc74dc5a0ed3730c

Pith citing papers

Observation b9dc9379-074c-426b-9e70-c2a4d97fee78 · inbound

Tile and Slide : A New Framework for Scaling NeRF from Local to Global 3D Earth Observation cites this paper.

Tile and Slide : A New Framework for Scaling NeRF from Local to Global 3D Earth Observation Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:54:06.000348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T20:54:00.675153Z digest=sha256:de2636737087151527f63e85d54f8058c965e2ac7ee514228b9489c91f9f0b49