Pith. sign in

Paper Citation Record · LEDGER

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:37.769693Z digest=sha256:84dacbb228adcc4c33144532bb3db0811f2b6ab37209ec6abfe3f820a71aabd6

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=sha256:6a8265601f6a83b934bce8c8d542e460dc1ef63a99ed200bd8214a312417a113

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:37.962716Z digest=sha256:57505c7e3fb82b6f689b74cc859c61923d9ec5d3eade4d0f8149da1c72f0228b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:38.037985Z digest=sha256:9ffd60a672ad989ad340c389c02e1dd5d86c349f1eae8a09b19fb893d72495b6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:38.141776Z digest=sha256:e254174cb884c7f72cb2d1ed2ccac6f726e6cc33b88292c5f66b8033fd67e5d6

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=sha256:3515e2883babffd1f27cfd3cc31324dabd732a80d5ae21110ab91e561d0943d7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:38.415335Z digest=sha256:022e4425101e9ac0ea470b276dbd88c263cb2c506422877d0032aa9bdd0ae7e5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:38.550076Z digest=sha256:4bf3e92c80cd295b279dbedb2f65e6b8984c4510e2772b43984dd7a83ff7c623

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:38.670783Z digest=sha256:db76d84dcfb23c65f7781d12636083697debea3bdcfc180bf8b14d370e7940f7

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:c96e9229088b2043d65cfdd35577a745b81953f10b279492f5e099729ed59c48

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:39.024177Z digest=sha256:d8e92393d3035249caad62ed0e99990a56023e92916ff254c5eef2c46b0bdfba

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:39.213484Z digest=sha256:c3b9f615028e946cc45f5ca3e361e860de996422d768f20bfd1be5b6a9ee6598

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=sha256:61c2fbbc850f10c4c72ea752e24d18515659138b7b80c3b5518644c155a2d1ba

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:39.499827Z digest=sha256:47410bece2b0f8c95400fa64eeb932b2e6717ea4e70d74df926f91ea15769a66

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:39.676479Z digest=sha256:f17af894e256b970b8b04cb26ed126e8b4b5e2cd83c5869e9790846c068cca8a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:39.808450Z digest=sha256:52cd12b52d9e2212fa596179d00d38458ff177f4c1d84bd197e3b9c0830f2ecb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:39.918917Z digest=sha256:a7d9d780c09bc6dbbd7afcb0852fd7c50bbe525590729ebca50eec25e5aa05fd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:40.045082Z digest=sha256:c53eb5b17f22fae98661b60e4fac514beb679abd65df62fe58fa1ba03bfc8778

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:40.163038Z digest=sha256:adcf2744f620e907c8277ed42ffa0608395f2c59dfaaab09df608f02766d13f3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:40.314515Z digest=sha256:b260b58e9a9d65dbfdd2c7264c252a49f7774360ed59bc7da60c63d745afbf60

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:ea0eed747b157082616c4b0ce8441aac5def1019b1ee8eb0a80ebd27c169f12a

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:e8b6e4d797d9835e1de1bcb69d0e2d882bf67157844136c4311a22e3c514ba62

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:40.707816Z digest=sha256:4da2f851b0ac2b5aacfedf412782feeb997ead63294fa3e9a268c4c84b83adbf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:40.837894Z digest=sha256:2173b6ac6201ffa835aaeea3a057f45a418e3f595517fa49a9062f9637782e00

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=sha256:9b456ddd3752a7424763e0f27c7a2433a43a6c60acf39bfe482d25151bd79b99

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:41.144670Z digest=sha256:0421634d9615186be733044e0b483af7613e958cf3fdc7bf5c232e538968d6a4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:41.270019Z digest=sha256:46934c5ea8e27785868f144e16eb8e30312385844cbe02b2bff6257149e5c527

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:a424216f06e76c8165a10b6ed75f4ba3b842710e0ce8ca7ff0d03c027384e7bb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:41.476871Z digest=sha256:07fe86893915615b50970d418cc84c16021124db2209beb1459706dcd1108cb6

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:e9f5349f6a992c3903517520c2854bdf1eaaca2d3bd5bbfe04eae936597d3f7f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:41.646254Z digest=sha256:a195c50733537a218c6290e5f964da5e1a519c9c4a7b5e592e938b0aa239c5a9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:41.763125Z digest=sha256:023dfe60b874f43a951cd9606f4462e094e51d149e8d95287e3808317f143a31

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:41.895486Z digest=sha256:545fef54568ec1738b08d50ad4b36e33d4e4320785e26536514449248eb8c2d9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:42.053637Z digest=sha256:23627b6697aa8f7f39f602fe6b2107d61222beb903166069c3424706a959fff2

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:df4dae71902f92658015c42b72db82713afb86e0e26864c4ad87804b36bb8224

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:42.223792Z digest=sha256:aa8544299026afecf61a010cc6922a4d06376e9d4bb8bf8e65a27ffb3cfdf7f9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:42.328935Z digest=sha256:b7351b12d055c70713f27e410c625372ec365b04443d1227e75489e46db437fc

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=sha256:497ab49269692968c3e913f97ecc9b93fd0e312b07b8bd37188f3aacab456268

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:42.572039Z digest=sha256:e6cd411d7690c530726865de45acfe57eb473c16cff0725bd62fd8ca2454cc67

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:42.681319Z digest=sha256:dbe5d89a237429068928ef83cf90000fe3093cfc0cdd8206b2c388211a68106e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:42.791669Z digest=sha256:17bacb262f7a41ad64aaee9e56bd8dcfc6a4b421675ee11786e847805b23e67c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:42.871491Z digest=sha256:ef7ef00f74baa7abc710b7380a75754470fccecec95f36e4b25d065430422ce9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:43.162004Z digest=sha256:613efed7cae897459ca17a79cc84dd3d2eb98e26fc89d3f2332890fcae89dd0b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:43.241451Z digest=sha256:17e1f68b9f41c6cbe88aed57add888acb767cf16ba002b66882d13977343e689

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:43.353026Z digest=sha256:df96752e735f471f83ea5166affd1a31730b5b3e9e3f722de3ee807adff1590c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:43.411256Z digest=sha256:71c7a967d912db9dd9c2f9e4b8accf9068ee5f5b8b17999e7f00fe8178b2f3b9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:43.497155Z digest=sha256:c05dd16b172df01fbbb936c6bfff58c045932ab5c96f531b757257f5a5069784

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T18:43:43.005626Z digest=sha256:b1d55f091317b0e22b84e42246990fe03cd2df2588e8b12b970df907e3ff3fdf

Pith citing papers

No inbound Pith citation observations are available.