Paper Citation Record · LEDGER

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks

As of 12 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2501.09355.

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

pith.paper-citation-record.v1
2501.09355 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:11:41.947172Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy19
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e681961-342b-4112-9361-aac2abe24dde · outbound

This paper cites Do, Karan Ahuja, Eric J.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Do, Karan Ahuja, Eric J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.698506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42e43ad7-f328-47a1-8e7f-ec6f2ae6d8bb · outbound

This paper cites Tal- lyqa: Answering complex counting questions.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Tal- lyqa: Answering complex counting questions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.683844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9f4aa584-69f0-428b-bf62-a68a7ce61d62 · outbound

This paper cites Paligemma: A versatile 3b vlm for trans- fer, 2024.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Paligemma: A versatile 3b vlm for trans- fer, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.666170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67931a41-b041-4267-b1c5-ea81c438d95b · outbound

This paper cites ProMISe: A proactive multi-turn dialogue dataset for information-seeking intent resolution.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks ProMISe: A proactive multi-turn dialogue dataset for information-seeking intent resolution

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.648143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 454af8d8-bb06-4b09-8fb9-6cf643e9e5f9 · outbound

This paper cites Baki Ko- caballi.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Baki Ko- caballi

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.629970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a4bd676-42d2-4acb-baa6-7e140b34bca8 · outbound

This paper cites Smart help: Strategic opponent modeling for proactive and adaptive robot assistance in households.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Smart help: Strategic opponent modeling for proactive and adaptive robot assistance in households

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.612425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 87fc992e-9c0d-4837-8978-39e447b94bef · outbound

This paper cites Scaling egocentric vision: The epic-kitchens dataset.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Scaling egocentric vision: The epic-kitchens dataset

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.596453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c55bc85a-d333-4c96-b4e5-807f32af8d79 · outbound

This paper cites Towards human-centered proactive con- versational agents.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Towards human-centered proactive con- versational agents

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.470235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b5af7406-ceec-4685-bc5a-da8679066694 · outbound

This paper cites Prego: online mistake detection in procedural ego- centric videos.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Prego: online mistake detection in procedural ego- centric videos

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.443839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c510b510-9d7e-42f6-9a3d-40e01b8c4e88 · outbound

This paper cites an unresolved cited work.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:11:42.427272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7d1010cf-1457-4732-9afc-a382178bd33d · outbound

This paper cites an unresolved cited work.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:11:42.410710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05bab867-27a0-4afa-8263-799573d845bf · outbound

This paper cites Proactive con- versational agents in the post-chatgpt world.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Proactive con- versational agents in the post-chatgpt world

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.392700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 87fa43ee-cf64-4437-ae87-7debe7498e56 · outbound

This paper cites Proactive agent: Shift- ing llm agents from reactive responses to active assistance,.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Proactive agent: Shift- ing llm agents from reactive responses to active assistance,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.377525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d34a8be8-b277-4ad6-83f8-89586a616c93 · outbound

This paper cites Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:11:41.864013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5184cee-5108-4b6c-bb59-940b800fac0c · outbound

This paper cites Ti-prego: Chain of thought and in- context learning for online mistake detection in procedural egocentric videos.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Ti-prego: Chain of thought and in- context learning for online mistake detection in procedural egocentric videos

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:11:41.868991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7409bc47-403d-41d3-b86a-72bcef2482b4 · outbound

This paper cites Quasi-online detection of take and re- lease actions from egocentric videos.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Quasi-online detection of take and re- lease actions from egocentric videos

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.363310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d577182a-242e-4fe5-a911-6ea6fec8b72b · outbound

This paper cites Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:11:41.878094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ed5520a-0b57-4ca6-b2dd-8b20a6864717 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Gemini: A Family of Highly Capable Multimodal Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:11:41.882927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e50659c-6709-45c1-94d8-38efefff046b · outbound

This paper cites Meta smart glasses—large language models and the future for assistive glasses for individuals with vision impairments.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Meta smart glasses—large language models and the future for assistive glasses for individuals with vision impairments

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.348174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2ca7540c-34f2-4b51-ae96-4894c001bf7a · outbound

This paper cites Oadtr: Online action detection with transformers.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Oadtr: Online action detection with transformers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.332666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50632b59-8a3c-499c-93fc-7f2348665d48 · outbound

This paper cites Holoassist: an egocen- tric human interaction dataset for interactive ai assistants in the real world.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Holoassist: an egocen- tric human interaction dataset for interactive ai assistants in the real world

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:11:41.897674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 617025da-65d8-4e3d-a9b1-b3be632ae553 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Image quality assessment: from error visibility to structural similarity

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:11:41.901755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3ab8d16-3fa0-4290-91dd-cd2972ccce0a · outbound

This paper cites Proagent: Building proac- tive cooperative agents with large language models.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Proagent: Building proac- tive cooperative agents with large language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.296898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a267506-fc3f-4687-b463-425b909f50ce · outbound

This paper cites an unresolved cited work.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:11:42.279730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e6fd86a6-e103-453f-9b30-1151832a5688 · outbound

This paper cites an unresolved cited work.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:11:42.263337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e58cdaf7-ba8b-4afb-83c3-13ca4ccab48b · outbound

This paper cites an unresolved cited work.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Unresolved cited work

Reference 27

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T20:11:42.246301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1882db0d-7822-4003-83df-432185893c40 · outbound

This paper cites This work concentrates on identifying ”take” and ”release” ac- tions—instances where the user’s hands interact with ob- jects—rather than on mistake or intervention detection.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks This work concentrates on identifying ”take” and ”release” ac- tions—instances where the user’s hands interact with ob- jects—rather than on mistake or intervention detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.229751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a7b5fa9-44cc-4561-a273-a9a90a8dd50f · outbound

This paper cites Agent Conversation Interval The Agent Conversation Interval is a parameter for how long we suppose it will take a user to respond to an inter- vention by the AI Agent.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Agent Conversation Interval The Agent Conversation Interval is a parameter for how long we suppose it will take a user to respond to an inter- vention by the AI Agent

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.212392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc84db2f-e69d-4afa-baa9-f0e691440510 · outbound

This paper cites an unresolved cited work.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:11:42.196805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aba9e32b-bfc5-42b1-99f0-680d1f13d209 · outbound

This paper cites an unresolved cited work.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:11:42.181108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9f5c09bf-f4a4-4015-ab2f-69dd9264b739 · outbound

This paper cites If the user inter- acts with a live wire while the power is on they could be seriously injured.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks If the user inter- acts with a live wire while the power is on they could be seriously injured

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.165641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cab1358e-7bba-4cb6-bdf8-d04586ccf167 · outbound

This paper cites This would be especially useful for fixing a motorcycle, which is often done by expert mechanics.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks This would be especially useful for fixing a motorcycle, which is often done by expert mechanics

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:11:42.149602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e7bdce6-772b-47df-9539-1eccdf2b5fbb · outbound

This paper cites an unresolved cited work.

YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T20:11:41.835656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.