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Paper Citation Record · LEDGER

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning

As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2605.28087.

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

pith.paper-citation-record.v1
2605.28087 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T12:14:16.285786Z

measured 30 of 30 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

30 of 30 outbound references displayed

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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 61691570-2657-4156-9f7e-99a852311aaa · outbound

This paper cites That’s Mine! Learning Ownership Relations and Norms for Robots.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning That’s Mine! Learning Ownership Relations and Norms for Robots

Reference 1

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:1a66ee0e02541cc293dcb231e824a090b84867f7398dedfe37761636184988d3

Observation a07db14a-4dbd-4533-9c9d-c5e3d727941f · outbound

This paper cites Toward Ownership Understanding of Ob- jects: Active Question Generation with Large Language Model and Probabilistic Gener- ative Model.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Toward Ownership Understanding of Ob- jects: Active Question Generation with Large Language Model and Probabilistic Gener- ative Model

Reference 2

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:09ddee37ce63c1c20b0df994ed40223d910d874cae19384fc9d1c349037d0f54

Observation 5497088c-35e9-4bf1-be38-f973799dc8c0 · outbound

This paper cites Item Ownership Relationship Semantic Learning Strat- egy for Personalized Service Robot.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Item Ownership Relationship Semantic Learning Strat- egy for Personalized Service Robot

Reference 3

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:4fa0a93870ce3ea8b4fc46af7d95423d5401d02112482ef57dc61d82aa59ad00

Observation 52675cd6-f9a5-4ed2-946d-c102d48714a1 · outbound

This paper cites An Interactive Learning Framework for Item Ownership Re- lationship in Service Robots.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning An Interactive Learning Framework for Item Ownership Re- lationship in Service Robots

Reference 4

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:ec6779bced14308d8e6a009836a27e2d631626e78d5d168ff00d94d24af8716f

Observation fb5d3c42-5412-42aa-bdd3-49d249a81381 · outbound

This paper cites Open-vocabulary Queryable Scene Representations for Real World Planning.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Open-vocabulary Queryable Scene Representations for Real World Planning

Reference 5

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:4c7f810c1d26700dca1a7c1ccc29e18a31ed1baf7e4ea41bcbc80b981670cabe

Observation fb3304b8-8733-4ff1-bd68-176e16280174 · outbound

This paper cites Algorithmic Learning in a Random World.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Algorithmic Learning in a Random World

Reference 6

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:43e33e889de6e877743d6b2c3147a29dab55d6f99bc87ecd6c6f5136379787bc

Observation e2fa690d-5a1b-44d2-9476-be95a12d3094 · outbound

This paper cites Evolution of Consumption: A Psycho- logical Ownership Framework.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Evolution of Consumption: A Psycho- logical Ownership Framework

Reference 7

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:1101508d5315d26053c9bb06cdae09ffc65ab7883febd1c7f852c85ca0e068e8

Observation 237adc3b-75c6-4186-9de8-3d106ddb99dd · outbound

This paper cites Development of a Japanese Version of the Psychological Ownership Scale.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Development of a Japanese Version of the Psychological Ownership Scale

Reference 8

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:25d39fb4616ac7c9af8752e083c78d4b05365e7b81a5054356ca942702705c14

Observation 10c82235-fcf9-47db-b771-f70b1d585372 · outbound

This paper cites The Effect of Mere Touch on Perceived Ownership.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning The Effect of Mere Touch on Perceived Ownership

Reference 9

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:71a3b0378b9bf56deb46381db4aaeeab21a1abf840ee84c0520a7a7b70df2afa

Observation 90f28a7a-9f4a-49c3-bf10-5b6d4bad49e5 · outbound

This paper cites Learning-to-rank Approach for Identifying Everyday Objects using a Physical-world Search Engine.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Learning-to-rank Approach for Identifying Everyday Objects using a Physical-world Search Engine

Reference 10

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:dcbe63da2df01df3b4d2ad6680a0d93a3618b9bf37a31a9486b3e8aef0b4e0cd

Observation c1ee44e6-1477-4243-8def-c7e473f87dbb · outbound

This paper cites LBAP: Improved Uncertainty Alignment of LLM Planners using Bayesian Inference.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning LBAP: Improved Uncertainty Alignment of LLM Planners using Bayesian Inference

Reference 11

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:e3f97040c73419425023e49093e3d2a6ff7b6d3402be8fb2c996425f15640d5c

Observation 65de7a92-a4a7-456d-b2d7-33be50cd9a39 · outbound

This paper cites Introspective Planning: Aligning Robots’ Uncertainty with Inherent Task Ambiguity.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Introspective Planning: Aligning Robots’ Uncertainty with Inherent Task Ambiguity

Reference 12

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:8c4fee95b9bbf5adfe65fe05d34e759fca0ca44efd67f58b1192d55022df2e12

Observation d5d1a1a7-c056-4363-9ee5-bda0c5ac4c69 · outbound

This paper cites Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 13

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:409632a1e0f6d27353e4f5f57fb640764899492974a124e355925c42b3ca9224

Observation e78b90cc-fa63-4eb8-a0d5-332ae20212df · outbound

This paper cites Think, Act, and Ask: Open-world Interactive Personalized Robot Navigation.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Think, Act, and Ask: Open-world Interactive Personalized Robot Navigation

Reference 14

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:3c0aaf118da31e74dc7a63be85e8147d85e373961cacea296ab96648086566b6

Observation eb722404-db2f-4684-b4e1-2439ef55591c · outbound

This paper cites Take That for Me: Multimodal Exophora Res- olution with Interactive Questioning for Ambiguous Out-of-View Instructions.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Take That for Me: Multimodal Exophora Res- olution with Interactive Questioning for Ambiguous Out-of-View Instructions

Reference 15

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:5f47b4d2ec3917d0c89fc8b2622abbf77e8e8e2a7e558173dd941e5d91096b3a

Observation 1cbf564b-ff92-413f-8a10-f68bed3aa22e · outbound

This paper cites Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning

Reference 16

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:2c136ab0b75eeea516d8b254f8270c1afa2e60747a2730e5caf5de8f2cbe5495

Observation 5e0309aa-fe50-40b2-b9b0-9543dbb68a22 · outbound

This paper cites APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs

Reference 17

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:b781b76d0c06a1a0ba011a6a40972e05ef26cfd2fb2f47e54832a1c815a75dbc

Observation 2caee1f5-f5a9-44b5-b1dc-2fbd4ac17dfe · outbound

This paper cites Uncertainty of Thoughts: Uncertainty-aware Planning En- hances Information Seeking in Large Language Models.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Uncertainty of Thoughts: Uncertainty-aware Planning En- hances Information Seeking in Large Language Models

Reference 18

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Observation b760ce9a-4ac4-498e-ad3a-2cab81424cd1 · outbound

This paper cites NaVid: Video-based VLM Plans the Next Step for Vision- and-Language Navigation.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning NaVid: Video-based VLM Plans the Next Step for Vision- and-Language Navigation

Reference 19

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Observation f52db319-9088-4054-8e21-3593577e3ca3 · outbound

This paper cites OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models

Reference 20

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:b26701e0c1838adbd5f9a56956b9689e6b21aaddf617a97bf64dfc86ba82e5ee

Observation 3444570f-663c-4a61-a5bd-68c5df77c6fa · outbound

This paper cites SPINE: Online Semantic Planning for Mis- sions with Incomplete Natural Language Specifications in Unstructured Environments.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning SPINE: Online Semantic Planning for Mis- sions with Incomplete Natural Language Specifications in Unstructured Environments

Reference 21

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:96c25b17181b40013e9a627d6fac7c6944c08844550649b28b6fe83f40491b82

Observation 9283990f-0e0e-4432-be71-c51d8abb3092 · outbound

This paper cites Open-Vocabulary Detection via Vision and Language Knowledge Distillation.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Open-Vocabulary Detection via Vision and Language Knowledge Distillation

Reference 22

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:15e8d4f23ce4719df62dd8d2bc78d753857d59a90333cd2c56a991ce78c97df7

Observation 8578dcfb-7dde-4615-a81a-ff751f6f1a72 · outbound

This paper cites Detecting Twenty-thousand Classes using Image-level Supervision.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Detecting Twenty-thousand Classes using Image-level Supervision

Reference 23

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Observation 424b482f-cccd-4f8d-aaf1-e20080cf6eb3 · outbound

This paper cites FastMCP: A Python Framework for Building Model Context Protocol Servers [https://github.com/modelcontextprotocol/python-sdk]; 2024.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning FastMCP: A Python Framework for Building Model Context Protocol Servers [https://github.com/modelcontextprotocol/python-sdk]; 2024

Reference 24

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Observation 703743d6-aede-4729-8035-4129b4c6ec8f · outbound

This paper cites Proactive Robot Assistance via Spatio-Temporal Object Modeling.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Proactive Robot Assistance via Spatio-Temporal Object Modeling

Reference 25

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:94ea363daa9a5bcfa75b18ec8fa8264d069e38cd076da0ca1989827569e3eed6

Observation 43c834b7-3d35-4d82-98e4-4c257168864d · outbound

This paper cites Software Development Environment for Collaborative Research Workflow in Robotic System Integration.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Software Development Environment for Collaborative Research Workflow in Robotic System Integration

Reference 26

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:984031469142dd6baafd45b296fe7c128d403e11ae4a64bca6c4c87306666f8f

Observation 20d2a5c9-1bdb-4f65-953f-83133046e6fd · outbound

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

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Learning Transferable Visual Models from Natural Language Supervision

Reference 27

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Observation 290e7fd6-d25a-464a-8656-5f565ea00ed3 · outbound

This paper cites Conformal Prediction: A Gentle Introduction.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Conformal Prediction: A Gentle Introduction

Reference 28

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:acd2eadb37d97c59bd325e1baa386383ae42fda6fe74c79b1ba2fc7655791990

Observation fa2aac04-db0a-470e-8f48-79ab1485c29c · outbound

This paper cites Introducing the Model Context Protocol [ https://www.anthropic.com/ news/introducing-the-model-context-protocol ]; 2023.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Introducing the Model Context Protocol [ https://www.anthropic.com/ news/introducing-the-model-context-protocol ]; 2023

Reference 29

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Observation 5efb3670-81aa-439c-b9c8-7c5537ebe02a · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 30

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source=pdf_text observed=2026-06-29T12:14:16.285786Z digest=sha256:42807348b78636025ec3d1ebd6c0ecbd1af613074bc94e4187befbb5c1823171

Pith citing papers

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