Paper Citation Record · LEDGER

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models

As of 9 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2510.11014.

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

pith.paper-citation-record.v1
2510.11014 v2

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:16:23.534734Z

measured 71 of 71 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T00:01:39.841609Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

70 of 70 outbound references displayed

verified exact0
verified fuzzy0
unresolved69
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ab7d98b-c876-493f-b11b-805845131d92 · outbound

This paper cites LQG-MP: Op- timized path planning for robots with motion uncertainty and imperfect state information,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models LQG-MP: Op- timized path planning for robots with motion uncertainty and imperfect state information,

Reference 1

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Observation e0404164-11b7-43f0-83df-f7fccd31e14c · outbound

This paper cites Using occupancy grids for mobile robot perception and navigation,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Using occupancy grids for mobile robot perception and navigation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:16.360703Z

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Observation 3ef79425-17d0-4470-88f8-89c36455fcd7 · outbound

This paper cites Monte-carlo planning in large POMDPs,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Monte-carlo planning in large POMDPs,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:16.498975Z

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Observation 1acdfa5c-2327-4e53-8ebf-11f4f47697e0 · outbound

This paper cites DimSam: Diffusion models as samplers for task and motion planning under partial observability,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models DimSam: Diffusion models as samplers for task and motion planning under partial observability,

Reference 4

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Observation 493ade91-ce1c-4243-8326-9a3a93e2156e · outbound

This paper cites Semantic linking maps for active visual object search,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Semantic linking maps for active visual object search,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:16.757752Z

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Observation 755e40ff-7bdc-4803-a3f0-1c6f78041496 · outbound

This paper cites Uncertainty-aware occupancy map prediction using generative networks for robot navigation,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Uncertainty-aware occupancy map prediction using generative networks for robot navigation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:16.868120Z

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Observation be8be1c5-8a55-4cdd-8e78-17e9870b9d30 · outbound

This paper cites Sampling-based motion planning for optimal probability of collision under environment uncertainty,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Sampling-based motion planning for optimal probability of collision under environment uncertainty,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:17.035323Z

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Observation 9ac6ff38-07cf-4202-8750-d7cea7f4aa14 · outbound

This paper cites Provably safe robot navigation with obstacle uncertainty,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Provably safe robot navigation with obstacle uncertainty,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:17.193222Z

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Observation 0ad21f1b-1441-4218-9470-9b7a833ce59c · outbound

This paper cites Classifier-free diffusion guidance,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Classifier-free diffusion guidance,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:17.322479Z

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Observation d6faf721-725d-4717-a64b-1ad086259ea1 · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models SDXL: Improving latent diffusion models for high-resolution image synthesis,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:17.479691Z

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Observation 9b3aca14-fccd-40ae-b326-3a1547eb9758 · outbound

This paper cites Believing is Seeing: Unobserved object detection using generative models,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Believing is Seeing: Unobserved object detection using generative models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:17.587982Z

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Observation 70b10b72-67c2-4a91-8d73-0f1410d0aff1 · outbound

This paper cites Flux.1 Kontext: Flow matching for in-context image generation and editing in latent space,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Flux.1 Kontext: Flow matching for in-context image generation and editing in latent space,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:17.691727Z

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Observation 932ac292-0f62-4c88-8fcf-6c8bca8a0975 · outbound

This paper cites Depth pro: Sharp monocular metric depth in less than a second,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Depth pro: Sharp monocular metric depth in less than a second,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:17.805474Z

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Observation ee9cf5bf-72ed-476a-97a5-039ccd2f70ed · outbound

This paper cites SegFormer: Simple and efficient design for semantic segmentation with transformers,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models SegFormer: Simple and efficient design for semantic segmentation with transformers,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:17.912237Z

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Observation 33ac4cf1-7962-4432-8931-438ef693e0c2 · outbound

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

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models NeRF: Representing scenes as neural radiance fields for view synthesis,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:18.019474Z

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Observation 30097393-d25e-45cf-8b50-72f4caf065cb · outbound

This paper cites 3D gaus- sian splatting for real-time radiance field rendering,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models 3D gaus- sian splatting for real-time radiance field rendering,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:18.135976Z

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Observation ba310b4c-db38-412c-8e26-f91178f7047d · outbound

This paper cites N-view computational methods,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models N-view computational methods,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:18.304029Z

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Observation b8ae8b19-2a81-47d2-ba65-428ae8b01560 · outbound

This paper cites Semantic scene completion from a single depth image,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Semantic scene completion from a single depth image,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:18.446438Z

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Observation 91dad28b-7213-4553-a173-9d22e41dde66 · outbound

This paper cites Matterport3D: Learn- ing from RGB-D data in indoor environments,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Matterport3D: Learn- ing from RGB-D data in indoor environments,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:18.614256Z

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Observation 3b78a84f-8b14-4f69-8fb6-d6df7a06c8e1 · outbound

This paper cites Partially observable markov decision processes and robotics,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Partially observable markov decision processes and robotics,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:18.748471Z

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Unavailable: canonical work link unavailable.

Observation a53fb5ba-a18f-430f-b034-1c7ab8acc1cc · outbound

This paper cites Seeing is Believing: Belief-space planning with foundation models as uncertainty estimators,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Seeing is Believing: Belief-space planning with foundation models as uncertainty estimators,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:18.857580Z

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Observation 577cf515-ac56-4dc8-963c-b2ebe5d65be0 · outbound

This paper cites Prior-assisted propagation of spatial information for object search,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Prior-assisted propagation of spatial information for object search,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:18.937717Z

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Observation 4142a393-64c1-4fd4-840f-c2f53be03a20 · outbound

This paper cites Motion planning diffusion: Learning and planning of robot motions with diffusion models,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Motion planning diffusion: Learning and planning of robot motions with diffusion models,

Reference 23

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Observation 4a75e1da-373e-41e7-b83a-710f708b85e8 · outbound

This paper cites Dream to control: Learning behaviors by latent imagination,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Dream to control: Learning behaviors by latent imagination,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:19.091797Z

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Observation 51aa4905-5de8-4fcb-a431-94cc239ecbdc · outbound

This paper cites Deep varia- tional reinforcement learning for POMDPs,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Deep varia- tional reinforcement learning for POMDPs,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:19.182380Z

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Observation 72ad3774-cb14-4e23-9a13-dd9652b5cb31 · outbound

This paper cites Diffuscene: Denoising diffusion models for generative indoor scene synthesis,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Diffuscene: Denoising diffusion models for generative indoor scene synthesis,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:19.320124Z

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Observation e0d84877-1236-4619-b945-b7a6ea456465 · outbound

This paper cites Octomap: An efficient probabilistic 3D mapping framework based on octrees,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Octomap: An efficient probabilistic 3D mapping framework based on octrees,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:19.398423Z

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Observation 01e68198-830d-4402-8361-170104a102b5 · outbound

This paper cites Visual semantic navigation using scene priors,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Visual semantic navigation using scene priors,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:19.472032Z

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Observation f98892f5-7b89-42ef-906c-bff01d618b24 · outbound

This paper cites V ariational diffu- sion models,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models V ariational diffu- sion models,

Reference 29

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Observation 98d6580a-4371-4cf8-8dd4-8694b2442935 · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Generative adversar- ial nets,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:19.617779Z

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Observation c6dea127-723e-484e-9f73-c5fe7a8cbed2 · outbound

This paper cites V ariational inference with nor- malizing flows,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models V ariational inference with nor- malizing flows,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:19.706722Z

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Observation 0c596df1-9c53-4711-976c-9d7269a43aab · outbound

This paper cites Density estimation using real NVP,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Density estimation using real NVP,

Reference 32

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Observation 23a630d4-0c5b-45b7-8882-6d1f5dbdc423 · outbound

This paper cites Denoising diffusion probabilistic models,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Denoising diffusion probabilistic models,

Reference 33

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Observation a2bbf6a0-8a66-4994-ad1f-6215526c2220 · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Score-based generative modeling through stochastic differential equations,

Reference 34

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Observation 09f242c4-06e4-43a8-b833-6be2225c61e6 · outbound

This paper cites CamCtrl3D: Single-image scene exploration with precise 3D camera control,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models CamCtrl3D: Single-image scene exploration with precise 3D camera control,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:20.277411Z

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Observation ca6d1425-f2ec-43f9-94f6-fb0c074f0c78 · outbound

This paper cites GEN3C: 3D-informed world-consistent video generation with precise camera control,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models GEN3C: 3D-informed world-consistent video generation with precise camera control,

Reference 36

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Observation 142aa739-bde1-47a5-9404-1f456949dbe0 · outbound

This paper cites Diffusion with forward models: Solving stochastic inverse problems without direct supervision,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Diffusion with forward models: Solving stochastic inverse problems without direct supervision,

Reference 37

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Observation 9f2b5314-f301-40f4-a655-b1c93800dd9e · outbound

This paper cites Depth Anything V2,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Depth Anything V2,

Reference 38

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Observation 51b60f42-2707-426e-a6b3-e8a1765ca15e · outbound

This paper cites Scaling rectified flow transformers for high-resolution image syn- thesis,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Scaling rectified flow transformers for high-resolution image syn- thesis,

Reference 39

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Observation 1e69491d-4b4b-4c62-9d30-9031b3419e0d · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Flow matching for generative modeling,

Reference 40

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Observation 6a037853-d53a-42a2-8bc3-18bd3a4a1555 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Learning transferable visual models from natural language supervision,

Reference 41

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Observation 91b4f02d-626a-47c7-81ac-28f0b4fc8f93 · outbound

This paper cites A survey on object instance segmentation,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models A survey on object instance segmentation,

Reference 42

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Amodal instance segmentation,

Reference 43

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This paper cites Segan: Segmenting and generating the invisible,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Segan: Segmenting and generating the invisible,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:21.185066Z

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Observation fdd6699c-9510-4f91-b3ac-b48349aa12ce · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Probabilistic algorithms in robotics,

Reference 45

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Observation 97ebc883-02f3-40b1-b6c0-a51e762ac0ae · outbound

This paper cites Habitat-Matterport 3D Dataset (HM3D): 1000 large-scale 3D environments for embodied AI,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Habitat-Matterport 3D Dataset (HM3D): 1000 large-scale 3D environments for embodied AI,

Reference 46

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This paper cites Habitat-Matterport 3D Seman- tics Dataset,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Habitat-Matterport 3D Seman- tics Dataset,

Reference 47

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Observation 003c12ce-fcc1-4d8f-aac6-5e3ebf34c4e8 · outbound

This paper cites The Design of Stretch: A compact, lightweight mobile manipulator for indoor human environments,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models The Design of Stretch: A compact, lightweight mobile manipulator for indoor human environments,

Reference 48

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Observation 375dd49f-6b59-498c-97d1-01177651abb6 · outbound

This paper cites Akenine-M¨oller, E.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Akenine-M¨oller, E

Reference 49

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Observation 7e4eee50-1835-480f-aa5d-77f27cc297aa · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Open3D: A modern library for 3d data processing,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:21.790336Z

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Observation 35f4ece6-d613-49fe-b9a9-5a1d6d78936e · outbound

This paper cites Gemini: A family of highly capable multi- modal models,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Gemini: A family of highly capable multi- modal models,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:21.866238Z

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Observation aa7218de-553d-4a4b-a99b-d3eea15f7059 · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Scene parsing through ADE20K dataset,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:21.944141Z

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Observation 76a7f6b2-621c-4f13-bf6c-07261bf52545 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 53

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Observation cafe861e-eb12-46c8-a5a7-4908cc591b1a · outbound

This paper cites SVDQuant: Absorbing outliers by low-rank components for 4-bit diffusion models,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models SVDQuant: Absorbing outliers by low-rank components for 4-bit diffusion models,

Reference 54

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Observation 72223c73-aa46-478d-b85d-b877824a5fc1 · outbound

This paper cites Diffusers: State-of-the-art diffusion models,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Diffusers: State-of-the-art diffusion models,

Reference 55

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Observation e801e663-bef5-47b8-bd2f-070eb7421cf1 · outbound

This paper cites A threshold selection method from gray-level his- tograms,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models A threshold selection method from gray-level his- tograms,

Reference 56

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Observation dc08e0e8-0256-4a57-8526-0d891eed7a4f · outbound

This paper cites Open vocabulary scene parsing,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Open vocabulary scene parsing,

Reference 57

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Observation e619beb7-947b-4a9f-ba4a-669afe81351b · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,

Reference 58

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Observation 04542847-ccf8-45c9-8b52-51bf2ec1b31e · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Generalized-ICP,

Reference 59

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Observation cb88df8d-6956-4262-8bdd-d29d9797d1c8 · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Sampling-based algorithms for opti- mal motion planning,

Reference 60

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Observation 6f0d35d4-d069-4c26-a2b9-457781bedbd9 · outbound

This paper cites The open motion plan- ning library,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models The open motion plan- ning library,

Reference 61

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Observation a4985911-82b8-45bf-903b-6f4f4dca26c2 · outbound

This paper cites Robot operating system 2: Design, architecture, and uses in the wild,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Robot operating system 2: Design, architecture, and uses in the wild,

Reference 62

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Observation 4dfbe433-18f5-404e-aae6-7c2883fe9acd · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Reducing the barrier to entry of complex robotic software: A MoveIt! case study,

Reference 63

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Observation e201948d-acc8-46bf-9ffc-540fd52c4036 · outbound

This paper cites FCL: A general purpose library for collision and proximity queries,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models FCL: A general purpose library for collision and proximity queries,

Reference 64

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Observation d7dfa1c2-bf52-461f-9fcd-f29fea222a32 · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Unresolved cited work

Reference 65

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Observation bd2e7296-80ae-4886-a580-99bf9697f552 · outbound

This paper cites Peyr´e and M.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Peyr´e and M

Reference 66

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Observation 336945e9-d1f2-4298-97cf-1cb47b6015e9 · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Active visual object search in unknown environments using uncertain semantics,

Reference 67

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Observation 0cba6ebc-0c21-43c0-8304-8723dd6c0965 · outbound

This paper cites A survey on active simultaneous localization and mapping: State of the art and new frontiers,.

MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models A survey on active simultaneous localization and mapping: State of the art and new frontiers,

Reference 68

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Observation 07dab6ac-a181-4f89-b739-331cae5c9ac1 · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Ob- ject goal navigation using goal-oriented semantic exploration,

Reference 69

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Observation 5d3c602f-4979-46e9-a26d-65baba7f3e30 · outbound

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MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models Semantic robot programming for goal-directed manipulation in cluttered scenes,

Reference 70

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Pith citing papers

Observation 2a01334e-3d6e-471d-a860-a62e8a203673 · inbound

FlatLands: Generative Floormap Completion From a Single Egocentric View cites this paper.

FlatLands: Generative Floormap Completion From a Single Egocentric View MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models

Reference 12

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