Paper Citation Record · LEDGER

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2508.14275.

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

pith.paper-citation-record.v1
2508.14275 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:43:43.497155Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

48 of 48 outbound references displayed

verified exact0
verified fuzzy34
unresolved12
parse uncertain1
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1525be2-e54a-40e0-8016-8ecbdcd0845e · outbound

This paper cites Vision-and-language navigation: In- terpreting visually-grounded navigation instructions in real environments.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Vision-and-language navigation: In- terpreting visually-grounded navigation instructions in real environments

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:49.746766Z

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Observation 61f19ae3-e86f-416b-963c-3ddfe424e68d · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 2

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Observation 16b2b910-53b2-4106-84ef-efcb707c794e · outbound

This paper cites Lang, et al.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Lang, et al

Reference 3

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Observation 07368b61-df19-47d2-aedc-346bd1810360 · outbound

This paper cites Seg- ment anything in 3d with nerfs.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Seg- ment anything in 3d with nerfs

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:49.477369Z

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Observation 2cc0b6aa-4aa5-4f50-a2d1-d93773acf16e · outbound

This paper cites Scenear: Learning to recon- struct 3d indoor scenes for augmented reality.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Scenear: Learning to recon- struct 3d indoor scenes for augmented reality

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:49.268434Z

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Observation c4c5ac50-f105-4fb1-b81e-47ac078c240f · outbound

This paper cites Occam's LGS: An Efficient Approach for Language Gaussian Splatting.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Occam's LGS: An Efficient Approach for Language Gaussian Splatting

Reference 6

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Observation 7e9a166c-f611-4b06-ac07-eb1aba8e45b5 · outbound

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

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:49.118753Z

Source-reported events for the cited work

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Observation 619d4dc2-176b-4183-bf2f-85a508bdad1b · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:48.989344Z

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Observation b992b158-19af-4d6a-ad45-17726edb8e23 · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:48.835051Z

Source-reported events for the cited work

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Observation d9ae621c-a6e5-41c9-ae2a-1eeded406bcd · outbound

This paper cites Visual Language Maps for Robot Navigation.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Visual Language Maps for Robot Navigation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T18:43:38.822871Z

Source-reported events for the cited work

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Observation 3bbec191-ebbb-492a-93ad-e3edb7b090e1 · outbound

This paper cites Foundations of spatial perception for robotics: Hierarchical representations and real-time systems.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Foundations of spatial perception for robotics: Hierarchical representations and real-time systems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:48.694793Z

Source-reported events for the cited work

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Observation 375470ff-c896-4e8d-b06a-96585a7ee541 · outbound

This paper cites an unresolved cited work.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation dff55b2b-977b-4cb4-a5db-b9f65da38142 · outbound

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

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders 3d gaussian splatting for real-time radiance field rendering

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T18:43:39.377836Z

Source-reported events for the cited work

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Observation e03efffe-82f5-489b-9a6d-047f67abf6df · outbound

This paper cites Lerf: Language embedded radiance fields.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Lerf: Language embedded radiance fields

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:48.429908Z

Source-reported events for the cited work

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Observation f816bcba-561a-4425-a6dc-f885b9b53546 · outbound

This paper cites Garfield: Group anything with radiance fields.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Garfield: Group anything with radiance fields

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:48.300634Z

Source-reported events for the cited work

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Observation 245fde11-2048-4170-a24b-3aefb45e4179 · outbound

This paper cites Segment any- thing.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Segment any- thing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:48.160129Z

Source-reported events for the cited work

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Observation cb66b238-ff61-42d9-adc3-83222e07554f · outbound

This paper cites Gaussnav: Gaussian splatting for visual navigation.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Gaussnav: Gaussian splatting for visual navigation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:48.012337Z

Source-reported events for the cited work

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Observation e1da3861-1c67-4e72-bd49-347df31f570a · outbound

This paper cites Instancegaussian: Appearance-semantic joint gaussian representation for 3d instance-level perception.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Instancegaussian: Appearance-semantic joint gaussian representation for 3d instance-level perception

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:47.879800Z

Source-reported events for the cited work

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Observation f0f19aaa-7a40-4da6-92f1-b5d2d7e48a43 · outbound

This paper cites Dns-slam: Dense neural semantic-informed slam.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Dns-slam: Dense neural semantic-informed slam

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:47.683022Z

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Observation 8f853b95-c522-45c7-83a6-8afd89b141b5 · outbound

This paper cites Geogaussian: Geometry-aware gaussian splatting for scene rendering.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Geogaussian: Geometry-aware gaussian splatting for scene rendering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:47.531044Z

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Observation 485283ac-fbfc-40b6-bdc2-ad29e84f47f5 · outbound

This paper cites Su- pergseg: Open-vocabulary 3d segmentation with structured super-gaussians.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Su- pergseg: Open-vocabulary 3d segmentation with structured super-gaussians

Reference 21

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Source-reported events for the cited work

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Observation 3a35eb93-67e0-47c9-9cd2-d3d8eae08306 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 22

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Source-reported events for the cited work

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Observation 5ad93df2-3746-4024-aa03-c3fee959222d · outbound

This paper cites Scaffold-gs: Structured 3d gaussians for view-adaptive rendering.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Scaffold-gs: Structured 3d gaussians for view-adaptive rendering

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:47.384745Z

Source-reported events for the cited work

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Observation 88532c72-56ad-49d8-b935-a6f01be0d0f2 · outbound

This paper cites Clio: Real-time task- driven open-set 3d scene graphs.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Clio: Real-time task- driven open-set 3d scene graphs

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:47.248245Z

Source-reported events for the cited work

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Observation fcb380ed-739c-41a5-a8ef-00ab56e98ac2 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 25

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Source-reported events for the cited work

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Observation 0891bb3f-c1f4-43ad-a079-1848ae30d480 · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:47.122835Z

Source-reported events for the cited work

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Observation d26405d5-2c0c-458a-902e-013895b5c4bd · outbound

This paper cites Radsplat: Radiance field-informed gaussian splat- ting for robust real-time rendering with 900+ fps.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Radsplat: Radiance field-informed gaussian splat- ting for robust real-time rendering with 900+ fps

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:46.999036Z

Source-reported events for the cited work

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Observation ca735e4a-b639-4f64-b1c7-c42b23e7b96d · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Dinov2: Learning robust visual features without supervision

Reference 28

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Source-reported events for the cited work

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Observation 2df19f9a-7608-4e18-a77f-ac2e8271cd80 · outbound

This paper cites Openscene: 3d scene understanding with open vocabularies.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Openscene: 3d scene understanding with open vocabularies

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:46.846996Z

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Observation 8a9fa68f-6d20-4151-aa6b-0fbe9da2dcd0 · outbound

This paper cites GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting

Reference 30

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Observation 4df89ae0-4f7d-403f-bdd9-190d452d8df5 · outbound

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Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Langsplat: 3d language gaussian splatting

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:46.723698Z

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Observation 55130b5e-71ac-49dd-8b12-2a8f502955ba · outbound

This paper cites Goi: Find 3d gaussians of interest with an optimizable open-vocabulary semantic-space hyperplane.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Goi: Find 3d gaussians of interest with an optimizable open-vocabulary semantic-space hyperplane

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:46.583911Z

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Observation 7e8c2dce-7657-46a2-b2d4-b721e9e4d835 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Learning transferable visual models from natural language supervi- sion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:46.435241Z

Source-reported events for the cited work

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Observation e13adb24-c20b-4fe8-b363-65d292585a0e · outbound

This paper cites What is xr? towards a framework for augmented and virtual reality.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders What is xr? towards a framework for augmented and virtual reality

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:46.340246Z

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Observation 2908855e-792a-4d7f-9cf2-a48dbc6eb456 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 35

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Source-reported events for the cited work

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Observation 842e7827-e294-44a5-9003-6da26f7e0f02 · outbound

This paper cites Aligning and prompting everything all at once for univer- sal visual perception.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Aligning and prompting everything all at once for univer- sal visual perception

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:46.230440Z

Source-reported events for the cited work

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Observation fc6ca2e3-240b-40b6-a8df-1af513bb6a35 · outbound

This paper cites Language embedded 3d gaussians for open- vocabulary scene understanding.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Language embedded 3d gaussians for open- vocabulary scene understanding

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:46.017707Z

Source-reported events for the cited work

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Observation a3c9b7d3-aafb-48bd-b629-09e1e457fb5c · outbound

This paper cites CCL-LGS: Contrastive Codebook Learning for 3D Language Gaussian Splatting.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders CCL-LGS: Contrastive Codebook Learning for 3D Language Gaussian Splatting

Reference 38

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Source-reported events for the cited work

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Observation 6062298a-0e33-48bb-96d5-4dce23e09ac8 · outbound

This paper cites Attention is all you need.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Attention is all you need

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:45.805475Z

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Observation 06789bac-d124-48b9-b3e5-c631d2133dcd · outbound

This paper cites Drivedreamer: Towards real-world- drive world models for autonomous driving.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Drivedreamer: Towards real-world- drive world models for autonomous driving

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:45.630420Z

Source-reported events for the cited work

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Observation d67475bd-6e65-4912-9291-05de4b704c74 · outbound

This paper cites Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:45.365031Z

Source-reported events for the cited work

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Observation de134d15-35bc-4267-86a0-095f206c12f1 · outbound

This paper cites Opengaussian: Towards point-level 3d gaussian-based open vocabulary understanding.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Opengaussian: Towards point-level 3d gaussian-based open vocabulary understanding

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:45.176004Z

Source-reported events for the cited work

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Observation 1c07b446-b008-43e6-9073-71ec86ee50a1 · outbound

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

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Point- nerf: Point-based neural radiance fields

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:44.712598Z

Source-reported events for the cited work

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Observation dc6ba29b-677f-4032-8f16-f3f8ccfaa22c · outbound

This paper cites Gaussian grouping: Segment and edit anything in 3d scenes.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Gaussian grouping: Segment and edit anything in 3d scenes

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:44.523740Z

Source-reported events for the cited work

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Observation 10ffbf0e-f1f6-4d5d-9830-44d68886c299 · outbound

This paper cites Omniseg3d: Omniversal 3d segmentation via hierarchical contrastive learning.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Omniseg3d: Omniversal 3d segmentation via hierarchical contrastive learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:44.305525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9a27801-8723-4273-addb-5670b2270392 · outbound

This paper cites Mip-splatting: Alias-free 3d gaussian splat- ting.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Mip-splatting: Alias-free 3d gaussian splat- ting

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:43:44.062237Z

Source-reported events for the cited work

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Observation 6bf1c289-19a8-4497-b6d9-45134f83f177 · outbound

This paper cites Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T18:43:43.877147Z

Source-reported events for the cited work

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Observation 1e611c5d-b55b-4f28-917c-5aca5b7cdcde · outbound

This paper cites an unresolved cited work.

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders Unresolved cited work

Reference 2024

Resolution: parse uncertain; raw_fallback, observed 2026-08-05T18:43:44.954227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.