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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.793477Z digest=sha256:78137370adf026ee6a1771fdf3c5d0aec213f693a5b18cffdac730e58b6c8f7a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.799055Z digest=sha256:291d0ce3699dbde328d422e8f71ce62a0acc20f423eb7a3fb0b9e1288ba84634

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.803915Z digest=sha256:973b457ee26cd5520bf62a6a4b3f18fc268e8144ea61e13fbdf0a42cb44522e7

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.808894Z digest=sha256:cdfdcfac88c85520eeca7a00a1b6d62d3f6c7fdec5bcd78996c8c11b9f45a66a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.814825Z digest=sha256:0808911487e78215c98ed5348c3e40554e189bce8371b79f002f776abbdeaae9

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.819860Z digest=sha256:45bc3e621318cb4e1051b3b235a75f988d9f8f0f01c164cf559a124e7536c124

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.825315Z digest=sha256:4c0c28976e80f9c2aacd743381d9fce1a1321d0a8b5a726eae4b9fef2cb09598

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.830846Z digest=sha256:2bd3d55924ad6def50d93e08c0815543f01b99c73ad312b8c1d7e9517fa010b5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.840260Z digest=sha256:d045c28dbfdff35a09c165f755f75f2ac1f5bef48625f5aff880c10726967d22

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.845182Z digest=sha256:e1ad9b47f8f9912679e8e1e4c745ccfde3a04a9d8cbf089f939c10bd97297f1d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.850122Z digest=sha256:18838d349dee270eeba2e07f57f4ca3e7e71b766a7d7d6e528dbb49067c31ea2

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.854804Z digest=sha256:35ad3f098d335fb83b4c4ceb277db8b05781280888999f4998829a982823900e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.859125Z digest=sha256:d5fcba6e6b48a041bf48291f93005deb8cec6ae1d1fa4f66ebeefce0a9cdb51a

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.

source=pdf_text observed=2026-08-10T20:11:41.864013Z digest=sha256:7e8bb8412f9d5ec2db979e8646d106cf0b349cbf675c479dab3b5512781c05c2

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.

source=pdf_text observed=2026-08-10T20:11:41.868991Z digest=sha256:2fb10511b766a1cd428cfd73ed044444f966f0ca5c9ce7abdf59a7f6491b4caa

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.873455Z digest=sha256:c4898ad093bbb4915ee916154c6e34f1239dfbc397d60f8f455b8c580ea65049

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.

source=pdf_text observed=2026-08-10T20:11:41.878094Z digest=sha256:068ebb83087499fb07c6848869b0522b72c59a5658937eb6142895dde2c808be

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.

source=pdf_text observed=2026-08-10T20:11:41.882927Z digest=sha256:062543ab5bdc828abca6318cb2d38d61e7fd829fecfd928447f5475b0f8f573f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.888494Z digest=sha256:6d2b52ca3204d77c390c0eb42c98456db841471c32820a9cbbee61e711c60ff7

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.893664Z digest=sha256:47882ebdda923160aeb15294efbf933c872839659d96c738084b76fae17f6c05

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.

source=pdf_text observed=2026-08-10T20:11:41.897674Z digest=sha256:33a6c6e778ab33f253c81336501af1788522d2bc904eb773709ce0b517f10ec1

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.

source=pdf_text observed=2026-08-10T20:11:41.901755Z digest=sha256:36ed7d7d6f06522dc9735c777090b81b7c782857ea56f9de3115ab97df4d23cd

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.905841Z digest=sha256:2bb18e0d44678cd297fba1c30927bca27022a0c85708bb439c055aff379d30b2

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.909801Z digest=sha256:075dba7dcabce200ac0fac673ed6ab275f217f42b0aa466b84769d82fe0c39cb

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.914793Z digest=sha256:0c8398b946d3af852a300120e4f781b52fbcdcc4e52a8fe4e1b0e5c806a94314

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.919319Z digest=sha256:afc907d3eb1d4dbeb1249b73acea5bcc5d8f2049d868922a2dcd8d564179cc6d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.923812Z digest=sha256:864f043da902af1741d4a0263c8dac141ab8a14245d61373f557b2ca6533e281

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.928394Z digest=sha256:9243221abe90d5259133a39e8b777d39af83213672af1ae85cbf551e409603e1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.933228Z digest=sha256:f36f98bbd7665bf881a82ee010cb640b7374cca018559a53051f0ff02c3fc8d1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.937856Z digest=sha256:78ec0768e1a5d1cf8e912d49e9515cffa2655654aa63123ec0ca8358a9b6531e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.942631Z digest=sha256:03ba9df0c1f959ffb542d42f3c15548aba7caa7e9361eeb2b7a0edb0ed2aac54

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:11:41.947172Z digest=sha256:9bba846b13536d961e5e40444e7496270e91e089d4e7f6d3677fb6be1eea61b1

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

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