Pith. sign in

Paper Citation Record · LEDGER

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders

As of 8 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 2026-08-08T06:32:00.761636+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
  • metadata mismatch0

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:37.769693Z digest=sha256:ec0ef1d40ce347b7aa1164ff00d1a57ff4f82013ed2cb5f44f5d7d8ed59e0e7e

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

Resolution
unresolved
no resolver link, observed 2026-08-05T18:43:37.882884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:37.882884Z digest=sha256:b05f670cf3e646ff242b0630f60fa595988d61fb064ee5be6d2a1762a390130d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:43:49.604836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:37.962716Z digest=sha256:7292e9c8f4d411699c21c34c4835b2d02ed2fdbda8987e8fbe2f6f53f667afbe

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:38.037985Z digest=sha256:85db8e45d1d57a1f07a6f18be5f97fcac452a5e8d7859694cf06827e01b4223a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:38.141776Z digest=sha256:2fc7f4eaabfa42b31dbfdf78268761074d5b4c421aec611bc0c51e7f865faf47

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

Resolution
unresolved
no resolver link, observed 2026-08-05T18:43:38.271901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:38.271901Z digest=sha256:f74eb27de85fbb9b98c81abbe4fd4e961f521870818b225fd960dae484d0c1ca

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:38.415335Z digest=sha256:2b0bca78e050249fe688c1ff49b0008bbc0840d7516c2597f878df37fa34a145

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:38.550076Z digest=sha256:f27e90e93216a1d708014e299672620a88674e3335b8400da7574ebf2ca69b22

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:38.670783Z digest=sha256:27913cafbec0a85b6ba4e7075d9787d27eeeff4cdb4c6c945d45d1d6d2161015

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:38.822871Z digest=sha256:1416f6c6cafdbe7887a9e9e87c3603a97606538f6353fb7b33514db6c4c9cc2e

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:39.024177Z digest=sha256:68dc9e6a92373ac96c289c4d569cf6f68f77878fde7118fdc350170c742276de

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

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:43:48.557988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:39.213484Z digest=sha256:a034bebce04a03f259974589ffbff8726365096391abbac377cef8407960ede8

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:39.377836Z digest=sha256:ca1194498abc168d02a38df62cd4fc421c84ee043334ef15d5fb7d79f78f1391

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:39.499827Z digest=sha256:d4d329fbef187f1bc744fcfc11d2d4586f46557e969b97a0fb2f48f3a8bcf328

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:39.676479Z digest=sha256:0cf72db07b3741824fc066444f5b87e8cf2ce1dc897904c266141657c6f7df6e

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:39.808450Z digest=sha256:eba78d2f3db25c4555c3ea718e577c502e34301d3e59197802b75cd0f4c26bf5

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:39.918917Z digest=sha256:af2fb4891625c8c8ab048b987cb8ae9b0ea93fa32da1a6982c6d1dd3ed827298

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:40.045082Z digest=sha256:ebf5a70da4fd6aa13c2c457b5236a3c3a1da74ec217e0315a0a32b733558e86b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:40.163038Z digest=sha256:8cadb27f54fa7063fdefadf819a997b8b5e4fb92706eabe756272c97ba3f3065

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:40.314515Z digest=sha256:d673b04263634d58aacb8567a4794cc22e9bb0c7d6f4ce8720b252f748d71cce

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

Resolution
unresolved
no resolver link, observed 2026-08-05T18:43:40.419899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:40.419899Z digest=sha256:f24118297058b112e4090694c72013612ba519f7edb6cf2a9fd123745540444c

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

Resolution
unresolved
no resolver link, observed 2026-08-05T18:43:40.549435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:40.549435Z digest=sha256:e1c4131d6978684fdc5c078df062d66d45a7fede487e2b136ad0e0c290faf001

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:40.707816Z digest=sha256:3ab70e0e76818c0e8a0b9734bd8c4bbdd69f6737e76875c51200fbcf1604a8c1

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:40.837894Z digest=sha256:c299236913ed6bfa39bea8986fb6ed5d819d16cf9d4dda1b36525e89658612a8

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

Resolution
unresolved
no resolver link, observed 2026-08-05T18:43:40.998880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:40.998880Z digest=sha256:da276b8ff4a808d0afc705c368417dbc2206b6725ef2eb248ccdb75b72d000ea

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:41.144670Z digest=sha256:d47394d54f55e6097294397639f787dfbe790cfd0f2ff6092041aaaaec1ad073

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:41.270019Z digest=sha256:8452012bb22e192585850b7177a93a644b8b76dd3b1a9fbdfd0e5f132af4bb46

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

Resolution
unresolved
no resolver link, observed 2026-08-05T18:43:41.373944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:41.373944Z digest=sha256:c97e2f6a8630f9eedfe13bde04abab36b013143b89ed701f8b2cea6ba5cac237

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:41.476871Z digest=sha256:75b641effbe969475d796adf3e5148688b0a3f442d9fb52260c7c5d948d1e38c

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

Resolution
unresolved
no resolver link, observed 2026-08-05T18:43:41.561142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:41.561142Z digest=sha256:e281986959bcc13ed8709d751035931f7d00b9809a2a6404a283653de2fe3b85

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

This paper cites Langsplat: 3d language gaussian splatting.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:41.646254Z digest=sha256:465aada07c6d809ada300e94fc2021f09e08af2abe1ae0f4f6c6eef3b50b6eca

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:41.763125Z digest=sha256:fdc508013be66afe272f3ef20ec7c7bfce858005e12868081646d6b1a30fc407

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:41.895486Z digest=sha256:f6b7a01804cb4c2eb93b34d8c7b506ca228fe2e6933324816c18d9ed29e6ef46

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:42.053637Z digest=sha256:c206b11412522ee21155cb2b53e406bee75be31a40087043b8caf1d4bfe0d89f

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

Resolution
unresolved
no resolver link, observed 2026-08-05T18:43:42.170838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:42.170838Z digest=sha256:bc38a6a65a3065048654c4d040535261bbee906bd791062ef64a539e13a916a4

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:42.223792Z digest=sha256:faa66049539f686de7d55baaee76643ddff3bf8b93102e016054cd6b7fd92089

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:42.328935Z digest=sha256:0cb096a94ff66e4074f9e7e4b11cbd115f0d8a2a39c9cac8e09afaedbe132b82

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

Resolution
unresolved
no resolver link, observed 2026-08-05T18:43:42.438660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:43:42.438660Z digest=sha256:7d727d3aa4e4e075b3222c8ee20a0bcab34f2e2ecd98c1d3a74df647dcc51f1e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:42.572039Z digest=sha256:ddd752210668b116ae13381406c391b5e0b1a40ab421d4af1d127b0be55585f4

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:42.681319Z digest=sha256:2e58cd415043a933d91e52500da8da7096c607b01857fab79dd20c0a4e1a0a03

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:42.791669Z digest=sha256:f66521652b8cae0d33b10cb92aa4bfaaba1495530f7c1be240b646ade40ead82

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:42.871491Z digest=sha256:3f61b0aa14dac184e9cf106b920d912401be27958e883d6b099067e80a68464c

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:43.162004Z digest=sha256:b217f04d45e540fc5bf934e66363a24172051624a0701e5cb002e741a2fbaa73

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:43.241451Z digest=sha256:4e8ab024dad905647142560deb96728bff05018732636804b90789dc00aa3ab9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:43.353026Z digest=sha256:5610791c28106817806449ed3b1515ea67d7c0364c96ec76d4f9b124ac728693

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:43.411256Z digest=sha256:8d5acd9fddc5efa299e2808080d8f6b307e36a648abc01d22d8003cf9dccbef4

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:43.497155Z digest=sha256:398c292e18bb2cca891e5830a1fdbc4b99899a3090ae2b5043c1abe3c6da8a49

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:43:43.005626Z digest=sha256:8dbaab0d139a3286fa6768a0cd374efaaad003f054e7802b4c44a39c576d92b7

Pith citing papers

No inbound Pith citation observations are available.