Paper Citation Record · LEDGER

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field

As of 21 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.17351.

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

pith.paper-citation-record.v1
2507.17351 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:53:49.020367Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

37 of 37 outbound references displayed

verified exact1
verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef8ec2c7-2e49-4d57-9697-e7b1262ddc85 · outbound

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

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:56.963961Z

Source-reported events for the cited work

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Observation c8748a04-6221-4bd1-aaae-2f166d7531ca · outbound

This paper cites NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting).

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:44.279525Z

Source-reported events for the cited work

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Observation 2d658042-851d-448c-affb-a513d9c05cda · outbound

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

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field NeRF++: Analyzing and Improving Neural Radiance Fields

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:44.371776Z

Source-reported events for the cited work

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Observation 05891d97-637f-4c52-807f-29c964e73339 · outbound

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

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field pixelnerf: Neural radiance fields from one or few images,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:56.826639Z

Source-reported events for the cited work

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Observation 392e6b85-a984-4611-9da4-5abd5fa565d5 · outbound

This paper cites In-place scene labelling and understanding with implicit scene representation,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field In-place scene labelling and understanding with implicit scene representation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:56.614099Z

Source-reported events for the cited work

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Observation 7e70e616-a85a-4ec3-9782-1fe363897e4b · outbound

This paper cites A survey of deep active learning,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field A survey of deep active learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:56.431747Z

Source-reported events for the cited work

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Observation 8e3b140e-0f25-481a-b4fe-3b313a0b4b39 · outbound

This paper cites Viewal: Active learning with viewpoint entropy for semantic segmentation,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Viewal: Active learning with viewpoint entropy for semantic segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:56.231306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 561b2e5f-6547-4074-9fd2-6509820d77ee · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Encoder-decoder with atrous separable convolution for semantic image segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:56.009311Z

Source-reported events for the cited work

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Observation 55aa9356-e4a9-447c-b25f-5c1368630348 · outbound

This paper cites Unsupervised continual semantic adaptation through neural rendering,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Unsupervised continual semantic adaptation through neural rendering,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:55.762038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1a899f7-8504-4795-9013-114f2dd51109 · outbound

This paper cites Panoptic nerf: 3d- to-2d label transfer for panoptic urban scene segmentation,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Panoptic nerf: 3d- to-2d label transfer for panoptic urban scene segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:55.554669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3314b02b-78da-41da-ba0a-49b084f12d24 · outbound

This paper cites Weakly supervised 3d open-vocabulary segmentation,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Weakly supervised 3d open-vocabulary segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:55.375627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f8e6271-b51b-4b65-a19a-7f77f34f5a03 · outbound

This paper cites ILabel: Interactive Neural Scene Labelling.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field ILabel: Interactive Neural Scene Labelling

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:53:49.542436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1620dc4c-b424-41cb-ad8d-9980587fa631 · outbound

This paper cites Scene-generalizable interactive segmentation of radiance fields,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Scene-generalizable interactive segmentation of radiance fields,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:55.177030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5bf5a8c-472f-41bf-8a23-951e9f1c7b7e · outbound

This paper cites The power of ensembles for active learning in image classifi- cation,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field The power of ensembles for active learning in image classifi- cation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:54.940386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87b6e2a4-b01d-4fe5-b02a-12fa179695fa · outbound

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

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 15

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Source-reported events for the cited work

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Observation 89899fc5-89cb-4219-ab3b-3f5a8155c5bf · outbound

This paper cites Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:46.299169Z

Source-reported events for the cited work

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Observation 1f985db0-6085-4de9-885e-54af250d12d0 · outbound

This paper cites Hybrid active learning with uncertainty-weighted embeddings,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Hybrid active learning with uncertainty-weighted embeddings,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:54.683924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4384f87d-56aa-4bd3-bddd-eccc53ed1cc4 · outbound

This paper cites Active self-semi- supervised learning for few labeled samples,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Active self-semi- supervised learning for few labeled samples,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:54.438600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5790fedb-1d2f-493b-84d6-e829b198ecec · outbound

This paper cites Reinforced active learning for image segmentation.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Reinforced active learning for image segmentation

Reference 19

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Source-reported events for the cited work

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Observation 08c58e0c-989c-403e-b536-e8addf442757 · outbound

This paper cites Revisiting superpixels for active learning in semantic segmentation with realistic annotation costs,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Revisiting superpixels for active learning in semantic segmentation with realistic annotation costs,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:54.131265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3cc626a-421b-4b50-8a88-f6a673d072df · outbound

This paper cites Exploring spatial diversity for region-based active learning,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Exploring spatial diversity for region-based active learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:53.815283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0e553357-5ba6-4606-9931-8a11be97a7c8 · outbound

This paper cites Entropy-based active learning for object detection with progressive diversity constraint,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Entropy-based active learning for object detection with progressive diversity constraint,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:53.479507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9df10b7e-dd89-42fd-b3e7-c792d0a0ad01 · outbound

This paper cites Box-level active detection,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Box-level active detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:53.148319Z

Source-reported events for the cited work

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Observation 0197c764-9fdd-4d00-b554-214c2c0951b8 · outbound

This paper cites Box-level class-balanced sampling for active object detection,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Box-level class-balanced sampling for active object detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:52.898848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca989db3-bbe2-49c5-b8b1-ded63b960db5 · outbound

This paper cites Employing feature mixture for active learning of object detection,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Employing feature mixture for active learning of object detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:52.611552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 685f01ce-a2e0-4693-afd8-1ee2ce7e0784 · outbound

This paper cites Learning loss for active learning,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Learning loss for active learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:52.349197Z

Source-reported events for the cited work

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Observation 4fe9dd15-ce8a-462d-b443-5690a70edd74 · outbound

This paper cites Influence selection for active learning,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Influence selection for active learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:52.054527Z

Source-reported events for the cited work

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Observation bc678f99-d952-46c5-9cac-4bfcfb1495c3 · outbound

This paper cites Hal: Hybrid active learning for efficient labeling in medical domain,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Hal: Hybrid active learning for efficient labeling in medical domain,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:51.800256Z

Source-reported events for the cited work

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Observation fa9bbe53-90c0-4a96-aa4d-d12f581099cb · outbound

This paper cites A mathematical theory of communication,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field A mathematical theory of communication,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:51.563438Z

Source-reported events for the cited work

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Observation c00aa8e7-b708-4ae1-9570-8157970f0d7e · outbound

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

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Activenerf: Learning where to see with uncertainty estimation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:51.290895Z

Source-reported events for the cited work

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Observation 940049a1-d43e-4359-9690-b391afa58d54 · outbound

This paper cites An axiomatic approach for result diversification,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field An axiomatic approach for result diversification,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:51.003482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 763c090b-84dc-41ac-b7a8-e1f1825ed400 · outbound

This paper cites Randomness is the root of all evil: more reliable evaluation of deep active learning,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Randomness is the root of all evil: more reliable evaluation of deep active learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:50.709827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3263ca0e-cced-4eb7-8718-e9d45e9f61ed · outbound

This paper cites Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review

Reference 33

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Source-reported events for the cited work

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Observation 8f42ffd8-9bcf-4eff-8298-39c08cc1b9ee · outbound

This paper cites The replica dataset: A digital replica of indoor spaces,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field The replica dataset: A digital replica of indoor spaces,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:50.462855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 25f4ccbe-af25-49c9-9c25-99ce426503e5 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Scannet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:50.163081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ee2119d-69c3-4549-ac75-bbfc004a5418 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Adam: A Method for Stochastic Optimization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:48.867863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c14ed572-f962-403b-83fc-c120b129c464 · outbound

This paper cites Seeds: Superpixels extracted via energy-driven sampling,.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Seeds: Superpixels extracted via energy-driven sampling,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:49.843769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.