Paper Citation Record · LEDGER

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.11386.

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

pith.paper-citation-record.v1
2505.11386 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:58.649359Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

40 of 40 outbound references displayed

verified exact1
verified fuzzy23
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff10a0bd-4a14-4afa-abd1-2d22d28d65bd · outbound

This paper cites Emerging properties in self-supervised vision transformers.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Emerging properties in self-supervised vision transformers

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.518532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f93604-6b3d-4c07-9691-c82492c07acf · outbound

This paper cites NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.522111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bc72644-3bb6-48a8-94a2-0463b9f8aa5a · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Plenoxels: Radiance fields without neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.995015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 910c9a67-85f3-457f-9648-c3c1dab384fc · outbound

This paper cites Scalable active learning by approximated error reduction.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Scalable active learning by approximated error reduction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.985512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11bfac9b-391e-4b76-b3ec-1cb91b98a685 · outbound

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

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Baking neural radiance fields for real-time view synthesis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.976304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f48d7bbf-fb74-46c5-9433-bd0ea066840b · outbound

This paper cites Data-efficient image recognition with contrastive predictive coding.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Data-efficient image recognition with contrastive predictive coding

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.966721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91ea607b-4591-492a-8f73-864f56223502 · outbound

This paper cites Putting nerf on a diet: Semantically consistent few-shot view synthesis.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Putting nerf on a diet: Semantically consistent few-shot view synthesis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.956179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d099010-f68f-487c-aa14-1c5e6ebcaa1e · outbound

This paper cites Large scale multi-view stereopsis evaluation.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Large scale multi-view stereopsis evaluation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.946869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50d7f03a-0369-4eeb-baea-74995ecd8fae · outbound

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

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Infonerf: Ray entropy minimization for few-shot neural volume rendering

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.938119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d6277a78-a30a-4b20-a3e0-e8ccf18387e1 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.549519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c109c7d5-967a-4b48-b89b-31d732d12da2 · outbound

This paper cites Contrastive multimodal fusion with tupleinfonce.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Contrastive multimodal fusion with tupleinfonce

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.924075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3c35f5d-e743-4809-bca6-62cac9c44d83 · outbound

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

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Nerf in the wild: Neural radiance fields for unconstrained photo collections

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.914324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41b69931-866a-4386-a713-b3fc410a8b2f · outbound

This paper cites Gnerf: Gan-based neural radiance field without posed camera.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Gnerf: Gan-based neural radiance field without posed camera

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.904868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e256d5de-54e4-4d65-bb09-fc09a59b7f9b · outbound

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

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Local light field fusion: Practical view synthesis with prescriptive sampling guidelines

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.896115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7321a4f2-397d-4942-aa67-8c5d34ec701d · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Srinivasan, Matthew Tancik, Jonathan T

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.886435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf89b5bd-2197-450f-8880-7d9a4a09a4a2 · outbound

This paper cites Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.877871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ddf5bff1-6a23-40b2-b79b-a724fff79ee7 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Representation Learning with Contrastive Predictive Coding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.572526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3455c66-52e2-4cdb-887b-fb0de1ce0290 · outbound

This paper cites Activenerf: Learning where to see with uncertainty estimation.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Activenerf: Learning where to see with uncertainty estimation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.867585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 918ccca8-a31d-4da4-a1ea-d16898668d38 · outbound

This paper cites Nerfies: Deformable neural radiance fields.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Nerfies: Deformable neural radiance fields

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.858747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03ba81b9-3a68-4441-a746-b98e8f4b4516 · outbound

This paper cites D-nerf: Neural radiance fields for dynamic scenes.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory D-nerf: Neural radiance fields for dynamic scenes

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.849989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 28219254-83ad-4c50-ae2a-b022a155001e · outbound

This paper cites Learning transferable visual models from natural language supervision.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Learning transferable visual models from natural language supervision

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.587397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32b50269-1a01-4317-9c29-50f80c2fb983 · outbound

This paper cites Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.835682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ab43387a-8c8f-428b-9899-845f6140a582 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.592870Z

Source-reported events for the cited work

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Observation 376c9063-92af-4ac2-9f39-4c92c5309aed · outbound

This paper cites Active learning literature survey.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Active learning literature survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.596180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cf5bf0c-5a34-45f1-a6fd-e578db09ba49 · outbound

This paper cites Neural geometric level of detail: Real-time rendering with implicit 3d shapes.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Neural geometric level of detail: Real-time rendering with implicit 3d shapes

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.821686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e5ec2c4-cbca-42a3-9a41-16c6ebade452 · outbound

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

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Block-nerf: Scalable large scene neural view synthesis

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.812228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d85c4a2-4ea2-4efc-bbbc-4fac48c39339 · outbound

This paper cites Contrastive multiview coding.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Contrastive multiview coding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.605489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88579821-80cb-481f-9efc-519db7e8d812 · outbound

This paper cites On Mutual Information Maximization for Representation Learning.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory On Mutual Information Maximization for Representation Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.608365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce99cbeb-8830-40d5-b335-88fddd120d79 · outbound

This paper cites SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.611415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99bc2962-d377-41df-9e66-917b77631dd6 · outbound

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

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory NeRF--: Neural Radiance Fields Without Known Camera Parameters

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.614808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f07854d5-aeac-4ff8-b0b8-23890caa5086 · outbound

This paper cites Nonnegative Decomposition of Multivariate Information.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Nonnegative Decomposition of Multivariate Information

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.618490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33ee72bd-8291-412a-8923-5398bd7fb236 · outbound

This paper cites ReconFusion: 3D Reconstruction with Diffusion Priors.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory ReconFusion: 3D Reconstruction with Diffusion Priors

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.622129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec6a496e-f194-4e49-b18e-d4da21babd68 · outbound

This paper cites BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.625150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation affbb08a-294a-42c4-9dc4-ffc9a03bd21f · outbound

This paper cites FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:58.692880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de26911e-03ab-4811-8b28-90710713730c · outbound

This paper cites A scalable active framework for region annotation in 3d shape collections.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory A scalable active framework for region annotation in 3d shape collections

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.798074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ff54e72-8c43-4f31-a196-68e14393225a · outbound

This paper cites Plenoctrees for real-time rendering of neural radiance fields.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Plenoctrees for real-time rendering of neural radiance fields

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.788691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91d6066e-8745-4e5e-a8f8-03a066943016 · outbound

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

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory pixelnerf: Neural radiance fields from one or few images

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.778835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0e18fd3d-df2e-4c90-9f2f-d31865db2012 · outbound

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

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory NeRF++: Analyzing and Improving Neural Radiance Fields

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.641907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64b79c0d-81d8-4e30-8fa4-a101096a1351 · outbound

This paper cites SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:58.645830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92641944-e491-4ce4-a7e1-e82f1c3f2609 · outbound

This paper cites Temporal coherence for active learning in videos.

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory Temporal coherence for active learning in videos

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:58.769469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.