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Paper Citation Record · LEDGER

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2501.08982.

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

pith.paper-citation-record.v1
2501.08982 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:16:33.517034Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:02:09.805290Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T11:16:10.727860Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved27
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f10ed4e-8564-4d68-bdab-656695e0afcb · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 3

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Observation f3cd72d8-3b5c-4dfa-b850-c7a770d6e0c1 · outbound

This paper cites Video Diffusion Models.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Video Diffusion Models

Reference 5

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Observation b3884f55-1d00-4b8c-b12f-3a49f40de958 · outbound

This paper cites Training Compute-Optimal Large Language Models.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Training Compute-Optimal Large Language Models

Reference 6

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Observation 84dd559d-153f-4a57-a6b5-00a115b64aae · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 9

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source=pdf_text observed=2026-08-10T20:16:33.435623Z digest=sha256:e9c4037f69affa675e7447e41e51f563e1fcd6878a771789f3314efb94799c41

Observation dd5fa7b8-53b6-44e7-aab3-31d7e9dd46cb · outbound

This paper cites Diffusion-LM Improves Controllable Text Generation.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Diffusion-LM Improves Controllable Text Generation

Reference 10

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source=pdf_text observed=2026-08-10T20:16:33.438807Z digest=sha256:36062e637341e5e913f77062de7d44d5216caa345eddb70142ce8af0c48a2b24

Observation 5185af5a-df5c-40c4-9e85-39081a8202c8 · outbound

This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 11

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source=pdf_text observed=2026-08-10T20:16:33.442729Z digest=sha256:f023463413b3bd4dff7ae92b3a8c9d02e6510b8522a2077c4662af15f19b7d55

Observation 0f061913-bce5-4c27-b813-55ead73fe6ae · outbound

This paper cites Visual Instruction Tuning.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Visual Instruction Tuning

Reference 12

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Observation c8b84f47-5041-4918-8cb2-d4cadc978bc0 · outbound

This paper cites A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

Reference 13

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source=pdf_text observed=2026-08-10T20:16:33.451097Z digest=sha256:8e0bb93ec54c32683c3e4950381d561c285068d4e4ae598548ad6ac8415fa07a

Observation 5d7d2848-b481-4976-b6a9-08c9a1c91498 · outbound

This paper cites URL https: //doi.org/10.1145/3528223.3530127.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation URL https: //doi.org/10.1145/3528223.3530127

Reference 14

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source=pdf_text observed=2026-08-10T20:16:33.455018Z digest=sha256:f298040eba801bcf86c415a2497eff8ea675e091bef9ce278e6a264f01777ab5

Observation ff343bd6-7914-4b52-a7c4-65efbfe9dea9 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Learning Transferable Visual Models From Natural Language Supervision

Reference 15

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Observation df07b8d1-83e3-4e44-b311-ef02de45d24d · outbound

This paper cites Zero-Shot Text-to-Image Generation.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Zero-Shot Text-to-Image Generation

Reference 16

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Observation 08c60393-fdc2-420b-bf0e-0f80fdad4f3f · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:16:33.466799Z digest=sha256:4f59384639988b5382d2399b477dc10399d2eedf199d69891cb69299a9890e25

Observation a198f219-8f6a-42d4-b882-ca69f72b5e47 · outbound

This paper cites iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:16:33.477253Z digest=sha256:42a103fdd227d76b3f3306b0e60a00a7b30eb11b7d2de83176fd02b76bce40bf

Observation cb5367d4-7b0b-47d1-9e0b-3f7a23714875 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation LLaMA: Open and Efficient Foundation Language Models

Reference 20

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source=pdf_text observed=2026-08-10T20:16:33.482149Z digest=sha256:ee3132a50e1212f8348db57d322eb4f8d7bed5c87764561d36dd29809df7a170

Observation a0f22d12-23a6-4fc8-9beb-2c981c3e1ba7 · outbound

This paper cites Spectrally Pruned Gaussian Fields with Neural Compensation.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 21

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source=pdf_text observed=2026-08-10T20:16:33.486595Z digest=sha256:0f8b9d7ee37cb1a4654bc55ece79f7e320064330b2c5c1c3a4ec97a2ae74a51c

Observation 376a3296-06c7-4991-a7e5-e58240abdf23 · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 22

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source=pdf_text observed=2026-08-10T20:16:33.490388Z digest=sha256:cdcb74bca1338f8a410854d13d17fa1f33cdf9af8d438e9afc9b37de499e140b

Observation 97158ab2-8b8d-4312-a4a7-7d60be11266b · outbound

This paper cites A Survey on Multimodal Large Language Models.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation A Survey on Multimodal Large Language Models

Reference 24

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source=pdf_text observed=2026-08-10T20:16:33.498033Z digest=sha256:796e9121b80be6e33585ce1442a71d39bb7c1ab4dc0b95bd99c5814b75ac2b6b

Observation f6c832f3-0148-4508-9cd8-2acb00edb7b9 · outbound

This paper cites Ferret: Refer and Ground Anything Anywhere at Any Granularity.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Ferret: Refer and Ground Anything Anywhere at Any Granularity

Reference 25

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Observation 3470eee5-4f32-451f-96d3-38bd064a9e36 · outbound

This paper cites NExT-Chat: An LMM for Chat, Detection and Segmentation.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation NExT-Chat: An LMM for Chat, Detection and Segmentation

Reference 26

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Observation 25756e36-1633-46f7-b6a2-43d506ea5f0d · outbound

This paper cites Denois- ing diffusion probabilistic models for action-conditioned 3d motion generation.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Denois- ing diffusion probabilistic models for action-conditioned 3d motion generation

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:16:33.509589Z digest=sha256:ef6d76fb046265906b297b786d88c1836fa1316f128052753999e44d0b53b2cf

Observation bc9f89c8-ea6b-4992-84bf-329ad21cfc2d · outbound

This paper cites GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping

Reference 28

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source=pdf_text observed=2026-08-10T20:16:33.513420Z digest=sha256:3dacfb20f62108b24d0d31d857895c5f800d5d8f921d8bd6e44f14bd406fe13a

Observation 0c13b326-5a80-46c1-9117-41666341011d · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 29

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Observation 4360e26d-7dde-40fb-a98f-9dbf5669683c · outbound

This paper cites Denoising Diffusion Implicit Models.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Denoising Diffusion Implicit Models

Reference 2015

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Observation 25117963-00c0-49e1-84c7-0ebba65f032f · outbound

This paper cites Modelling Uncertainty in Deep Learning for Camera Relocalization.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Modelling Uncertainty in Deep Learning for Camera Relocalization

Reference 2016

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Observation a87a513f-d453-4157-a3b7-70040ee15fba · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 2020

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source=pdf_text observed=2026-08-10T20:16:33.414800Z digest=sha256:6fca63ebf483716cdd20f89790cd8a1d2ef1c48bba8a9de82a0d686d13bc40ca

Observation df772cc5-87ea-4661-8830-4188054c8779 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2021

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Observation 22299a99-6eeb-40d8-a75f-cb8be1779926 · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2022

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Observation 9199591f-6a8b-4840-afaa-643c369501d8 · outbound

This paper cites T., Rodriguez, A., Isola, P., and Lin, T.-Y.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation T., Rodriguez, A., Isola, P., and Lin, T.-Y

Reference 2023

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verified fuzzy
raw_fallback, observed 2026-08-10T20:16:33.925589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:16:33.494160Z digest=sha256:ab1bdedd90eb01a385952218d0f1ef608883ec05f63e15c4b48c640fe8d64f8b

Observation 8c567c8e-004a-4a76-8eaa-87e7db3adb4e · outbound

This paper cites A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets

Reference 2024

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Pith citing papers

Observation 323f6002-05bd-4913-9564-f5e7df1c8ac9 · inbound

UNIGEOCLIP: Unified Geospatial Contrastive Learning cites this paper.

UNIGEOCLIP: Unified Geospatial Contrastive Learning CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation

Reference 21

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arxiv_id, observed 2026-07-21T02:21:16.180868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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