Paper Citation Record · LEDGER

EmBARDiment: an Embodied AI Agent for Productivity in XR

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.08158.

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

pith.paper-citation-record.v1
2408.08158 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:50:19.254659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:20:55.635412Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 806e1b8b-e352-4b46-a137-bf02425266f7 · inbound

Everyday AR through AI-in-the-Loop cites this paper.

Everyday AR through AI-in-the-Loop EmBARDiment: an Embodied AI Agent for Productivity in XR

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:52:19.687775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78cbb6b0-ba8e-4ccd-aaa0-c683be1a460a · inbound

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches cites this paper.

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches EmBARDiment: an Embodied AI Agent for Productivity in XR

Reference 241

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:12.969744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff27174b-121d-4fc0-b2fb-65b4a11f9b88 · inbound

Reality Proxy: Fluid Interactions with Real-World Objects in MR via Abstract Representations cites this paper.

Reality Proxy: Fluid Interactions with Real-World Objects in MR via Abstract Representations EmBARDiment: an Embodied AI Agent for Productivity in XR

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T14:56:22.020268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5110db4c-74ca-402a-b092-230e55b4e2d1 · inbound

From Gaze to Guidance: Interpreting and Adapting to Users' Cognitive Needs with Multimodal Gaze-Aware AI Assistants cites this paper.

From Gaze to Guidance: Interpreting and Adapting to Users' Cognitive Needs with Multimodal Gaze-Aware AI Assistants EmBARDiment: an Embodied AI Agent for Productivity in XR

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:20:55.638829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54592885-ffbf-410c-9493-1fea13cc1cd7 · inbound

How Much Does It Cost to Answer My Question? Benchmarking Cloud VLM-based VQA Systems cites this paper.

How Much Does It Cost to Answer My Question? Benchmarking Cloud VLM-based VQA Systems EmBARDiment: an Embodied AI Agent for Productivity in XR

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T00:50:19.254659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.