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Paper Citation Record · LEDGER

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering

As of 7 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2608.04589.

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

pith.paper-citation-record.v1
2608.04589 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:21:34.411225Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

65 of 65 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07355454-e859-474e-9ab8-809d438b0eba · outbound

This paper cites An outlook into the future of egocentric vision: C.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering An outlook into the future of egocentric vision: C

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2bc39d49-6f1f-40d4-8558-1192c0d5b31d · outbound

This paper cites Analysis of the hands in egocentric vision: A survey.IEEE transactions on pattern analysis and machine intelligence, 45(6):6846–6866, 2020.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Analysis of the hands in egocentric vision: A survey.IEEE transactions on pattern analysis and machine intelligence, 45(6):6846–6866, 2020

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8dbf7b82-9ec9-4231-b403-b060cc47f840 · outbound

This paper cites Challenges and trends in egocentric vision: A survey.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Challenges and trends in egocentric vision: A survey

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d09b21a1-9d79-4389-9ae1-bb6caa803565 · outbound

This paper cites ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:28.417882Z digest=sha256:c72194c83bb5ccb75b143ac2be674cf06d1effe6363783caa8a487ddc4f98ac9

Observation ab97f191-d1fb-40bc-8964-fa5f4910d11e · outbound

This paper cites V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence

Reference 5

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no resolver link, observed 2026-08-06T21:21:28.560492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:28.560492Z digest=sha256:8abfa8d6908a64e587330dd100f9a98fdcf7a9522d8855889564817de7f560fd

Observation 7f4326e0-1e7a-4443-84a3-f5e215953d7b · outbound

This paper cites Streameqa: Towards streaming video understanding for embodied sce- narios.arXiv preprint arXiv:2512.04451, 2025.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Streameqa: Towards streaming video understanding for embodied sce- narios.arXiv preprint arXiv:2512.04451, 2025

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bb1d29c0-3d99-4b52-b456-0da3717412c1 · outbound

This paper cites Exo2egosyn: Unlocking foundation video generation models for exocentric-to-egocentric video synthesis.arXiv preprint arXiv:2511.20186, 2025.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Exo2egosyn: Unlocking foundation video generation models for exocentric-to-egocentric video synthesis.arXiv preprint arXiv:2511.20186, 2025

Reference 7

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no resolver link, observed 2026-08-06T21:21:28.802797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:28.802797Z digest=sha256:9c9f366d934d09e41c966fa78775724e39013b5b76bdfbff2ba2384ab6cd54ed

Observation 22ab7d21-1921-4d8c-96a6-ee12ad4fd2e3 · outbound

This paper cites EgoSound: Benchmarking Sound Understanding in Egocentric Videos.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering EgoSound: Benchmarking Sound Understanding in Egocentric Videos

Reference 8

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no resolver link, observed 2026-08-06T21:21:28.995915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:28.995915Z digest=sha256:79e629cfdc41772697173ba93c34c464535f52027833986b07a2dcec419226cd

Observation ad09ba71-83a4-4a85-a264-e75676497c4c · outbound

This paper cites Affin-space: Learning affine-invariant representations for 3d spatial understanding with MLLMs.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Affin-space: Learning affine-invariant representations for 3d spatial understanding with MLLMs

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:36.089650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:29.098615Z digest=sha256:9ab086f6dedda9f39306fed1c72cae9a61c6192bdf41bbe94e54ccda624c2fdd

Observation 7be8f1fb-feb3-4086-8d79-33639332da08 · outbound

This paper cites Accessible robot control in mixed reality.arXiv e- prints, pages arXiv–2306, 2023.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Accessible robot control in mixed reality.arXiv e- prints, pages arXiv–2306, 2023

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ef6956ec-2ea2-42a3-bff3-c6a384e603b6 · outbound

This paper cites Tom: A development plat- form for wearable intelligent assistants.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Tom: A development plat- form for wearable intelligent assistants

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9a1eaf0b-6a04-441d-8505-56d51bbe3c46 · outbound

This paper cites Snap, segment, deploy: A visual data and detection pipeline for wearable industrial assistants.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Snap, segment, deploy: A visual data and detection pipeline for wearable industrial assistants

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:36.058176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:29.456410Z digest=sha256:747338531e00a4c28d362756d9f10b5c4a5c48232ba8f0f28d28a83ffe58ab35

Observation 01688706-f08e-4d06-acbf-675b6974d96c · outbound

This paper cites Embodied large language mod- els enable robots to complete complex tasks in unpredictable environments.Nature Machine Intelligence, 7(4):592–601,.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Embodied large language mod- els enable robots to complete complex tasks in unpredictable environments.Nature Machine Intelligence, 7(4):592–601,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:36.047366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:29.534618Z digest=sha256:9d33b9993bb484ca9dc6e2ebc1dd898016a7dcf7ba92017545f5a2bae84e3d2a

Observation 33be3117-6c4b-4aa8-8ca6-80ea22e49776 · outbound

This paper cites Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence

Reference 14

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verified exact
local_arxiv, observed 2026-08-06T21:21:35.580531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:29.651604Z digest=sha256:595e3d0cb7c0268344d2488b8b03b44bdcd81b5422d3febf16f32376c7d85d6f

Observation e5bd53a0-5e08-49a5-8aaa-a277d9c73123 · outbound

This paper cites CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Reasoning.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Reasoning

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a99170f0-6f87-4be9-99b9-dde07966dc8a · outbound

This paper cites Bridging the 2D-3D Gap: A Hierarchical Semantic-Geometric Map for Vision Language Navigation.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Bridging the 2D-3D Gap: A Hierarchical Semantic-Geometric Map for Vision Language Navigation

Reference 16

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verified exact
local_arxiv, observed 2026-08-06T21:21:35.558828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ef1612c7-5b60-4c45-8687-4cb38b09f723 · outbound

This paper cites Afford-VLA: Action-Aligned Visual Planning via Internalized Affordance.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Afford-VLA: Action-Aligned Visual Planning via Internalized Affordance

Reference 17

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source=pdf_text observed=2026-08-06T21:21:30.096742Z digest=sha256:3b007121bb2c102b2dab70a6c5d27855da5c7fae633d95c6fe5bd5025a1723d7

Observation ff34862a-d113-4b0f-86cc-c6e66fb1a88e · outbound

This paper cites LA4VLA: Learning to Act without Seeing via Language-Action Pretraining.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering LA4VLA: Learning to Act without Seeing via Language-Action Pretraining

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:21:35.536839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:30.233395Z digest=sha256:3a5f36bb26ebeea8945f34d921295f253821d40180b465121a8ecf9f37b86e5e

Observation c079f0af-06a8-431d-bdbe-5b7172fbb3a3 · outbound

This paper cites Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model

Reference 19

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source=pdf_text observed=2026-08-06T21:21:30.348855Z digest=sha256:7bd823603674fedf574973d29f627245e78118241f32f290893df4849a3e7e18

Observation 9563c648-d993-4996-97f3-14c10467c927 · outbound

This paper cites Focusable Monocular Depth Estimation.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Focusable Monocular Depth Estimation

Reference 20

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Observation fa4d3548-559b-4da5-a253-1744ab1350de · outbound

This paper cites Learning precise affordances from egocentric videos for robotic manipulation.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Learning precise affordances from egocentric videos for robotic manipulation

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:36.036671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:30.551524Z digest=sha256:aa4305cf1d562dc0e85dc2154ca6f5018a6378369d79653e53eb4f28c9d69d16

Observation 2affcc6d-c153-4c1f-aa4d-3fc720fe770e · outbound

This paper cites OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation

Reference 22

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source=pdf_text observed=2026-08-06T21:21:30.628786Z digest=sha256:0acce00f227e95cb6c5d33d9d1700d807229e54c4bfac5f0b4481b0711d7c552

Observation fea6fcd1-820c-4f91-b91b-7bdc1f4fbadd · outbound

This paper cites Ocra: Object-centric learning with 3d and tactile priors for human-to-robot action transfer.arXiv preprint arXiv:2603.14401, 2026.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Ocra: Object-centric learning with 3d and tactile priors for human-to-robot action transfer.arXiv preprint arXiv:2603.14401, 2026

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:30.735665Z digest=sha256:e4f11058bfb5f7f4ce1e981b55b168581524d56319e38126f24718d5187a7628

Observation e6332695-b9fa-4ba1-87e6-b82844b8666f · outbound

This paper cites Evo-0: Vision-language- action model with implicit spatial understanding.arXiv preprint arXiv:2507.00416, 2025.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Evo-0: Vision-language- action model with implicit spatial understanding.arXiv preprint arXiv:2507.00416, 2025

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:30.948831Z digest=sha256:a549ed357ce1b5ce0a9a4197facfbb4f19e746ad7fe0a031848957ac5bded218

Observation 0567087f-dda9-407d-a034-a4f6836ba168 · outbound

This paper cites Evo-1: Lightweight vision-language-action model with preserved semantic alignment.arXiv preprint arXiv:2511.04555, 2025.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Evo-1: Lightweight vision-language-action model with preserved semantic alignment.arXiv preprint arXiv:2511.04555, 2025

Reference 25

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no resolver link, observed 2026-08-06T21:21:31.063186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:31.063186Z digest=sha256:967a46015716ea09ed5c77d97c7c136cc1b6fe9c8b7e3f83399ca4f11beaa241

Observation 5a6a927b-57f2-429b-bb78-02019ccc7de2 · outbound

This paper cites Mask2iv: Interaction-centric video generation via mask tra- jectories.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Mask2iv: Interaction-centric video generation via mask tra- jectories

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:36.026367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:31.157351Z digest=sha256:8d6785285983204e7e463a1467baf0d0143ba41ad45a1a2f1f2891094100370f

Observation cbf84044-1be3-484f-b012-7268632e3268 · outbound

This paper cites An overview of augmented reality.Computers, 11 (2):28, 2022.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering An overview of augmented reality.Computers, 11 (2):28, 2022

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:36.016009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:31.197296Z digest=sha256:4db324927581f9591370b00e7d7b765014be17bd241f961184ee4fdc24a951c7

Observation a7c0da63-2bbb-439a-9efa-58961cd3ae79 · outbound

This paper cites Revealing the true potential and prospects of augmented reality in education.Smart Learning Environments, 11(1):2, 2024.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Revealing the true potential and prospects of augmented reality in education.Smart Learning Environments, 11(1):2, 2024

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:36.005555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:31.282890Z digest=sha256:b1c8fd503b7fcd1d8f56cbb3b71bc01793f8fa24698264733389ef096bb28b05

Observation 9248be1e-45bc-49c5-9646-170c73312225 · outbound

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

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Scaling egocentric vision: The epic-kitchens dataset

Reference 29

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no resolver link, observed 2026-08-06T21:21:31.356687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:31.356687Z digest=sha256:c9909f770b38eb3368e6c0c9c3707688ab95de7220057e06576031a4d859a630

Observation 37c65af7-8c46-4efe-975f-40092bd79778 · outbound

This paper cites Egovqa-an egocentric video question answer- ing benchmark dataset.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Egovqa-an egocentric video question answer- ing benchmark dataset

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.990529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:31.437218Z digest=sha256:8ef1f4b58d31cc3cae194200e2867194c89072159f91cc2d31ce5a453247225a

Observation 94d4b1f1-f70d-413d-83fc-e69f0531a652 · outbound

This paper cites Egotaskqa: Understanding human tasks in egocentric videos.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Egotaskqa: Understanding human tasks in egocentric videos

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.982319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:31.502621Z digest=sha256:7a4247934a679f291f7073f2690d0b32acc278b885017ee2c4588c03b0628f66

Observation 56291364-ceab-4773-999f-1f361e0dd5f9 · outbound

This paper cites Egoschema: A diagnostic benchmark for very long- form video language understanding.Advances in Neural In- formation Processing Systems, 2023.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Egoschema: A diagnostic benchmark for very long- form video language understanding.Advances in Neural In- formation Processing Systems, 2023

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.973590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:31.567631Z digest=sha256:76ba13ee773b47ce498f66b6753bf5f34f7b4eca9cc56a7f6044dcc685183a0f

Observation ae8e2750-5e9e-4436-a4e6-9be53dd45c04 · outbound

This paper cites Egothink: Evalu- ating first-person perspective thinking capability of vision- language models.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Egothink: Evalu- ating first-person perspective thinking capability of vision- language models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.965035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:31.663388Z digest=sha256:748a4af9ba6da550e17a4ef8b4727ab6bf61f94f5460e099a2fa9fe4858b5f99

Observation 295764d2-d778-4609-9bf2-0c79942e559c · outbound

This paper cites Omnia de egotempo: Benchmarking temporal understanding of multi-modal llms in egocentric videos.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Omnia de egotempo: Benchmarking temporal understanding of multi-modal llms in egocentric videos

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.956810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:31.723842Z digest=sha256:95341c74a6e8a421f5a6ecbf4fd49fed3079a7ccc99e0d9e7a949da342b61c31

Observation a9e304b3-9729-4481-b452-c52dc5dc3e64 · outbound

This paper cites ToG-Bench: Task-Oriented Spatio-Temporal Grounding in Egocentric Videos.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering ToG-Bench: Task-Oriented Spatio-Temporal Grounding in Egocentric Videos

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T21:21:31.798441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:31.798441Z digest=sha256:7c5163f34b5e53c4ac0f12cdbcefc0bf16c0e59e5f83bcfc2f42c4b24c5d92d7

Observation 5d67858f-469e-4a39-a18a-f676dd6bc24b · outbound

This paper cites Egonight: Towards egocen- tric vision understanding at night with a challenging bench- mark.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Egonight: Towards egocen- tric vision understanding at night with a challenging bench- mark

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.947749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:31.878478Z digest=sha256:48373c6c8cd26d47ad94909c15dabb2d6df74a39f02d088bf6ba68264a5eeccc

Observation ffe9b2a9-cb7e-45f5-b479-b39063843d70 · outbound

This paper cites Egocross: Benchmarking multimodal large language mod- els for cross-domain egocentric video question answering.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Egocross: Benchmarking multimodal large language mod- els for cross-domain egocentric video question answering

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.938804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:31.952801Z digest=sha256:38b6e66b3ba7b40576eea680a07063de35cd442603be52a5d1aa163b5388569c

Observation a1dbb36b-6fa6-4f28-8b32-716c4c910619 · outbound

This paper cites an unresolved cited work.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:21:35.930334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.049129Z digest=sha256:71c83357a4c26cb1ceefdf60dd3a9e179c3ad727addf679ed400755a1745e8f8

Observation 234540ea-4e26-4010-af31-b97ad4edae28 · outbound

This paper cites an unresolved cited work.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:21:35.922193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.152544Z digest=sha256:74ccd94cd0197a32611c2a7fe12faabc1bb551f32381822efc345ad12fe81293

Observation 58f65e05-ff09-4825-b9ee-a75e229ddc27 · outbound

This paper cites Styleadv: Meta style adversarial training for cross-domain few-shot learning.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Styleadv: Meta style adversarial training for cross-domain few-shot learning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.913534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.231172Z digest=sha256:dce5b6943e64665bb54ae93fb3c809badf98e7f4608c60ea56bafdd486702188

Observation 8fc79cd1-b03a-47bc-a1a6-92c77404a148 · outbound

This paper cites Meta-fdmixup: Cross-domain few-shot learning guided by labeled target data.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Meta-fdmixup: Cross-domain few-shot learning guided by labeled target data

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.904491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.323807Z digest=sha256:941f8b7b002f95566b1d10af11121e9d37ce09267bbb5951b20a37fc99cddbb3

Observation 5227f50e-aa5f-40e7-8905-8f7fbe0200d0 · outbound

This paper cites A closer look at conditional prompt tuning for vision-language models.International Journal of Computer Vision, 2025.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering A closer look at conditional prompt tuning for vision-language models.International Journal of Computer Vision, 2025

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.895551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.393293Z digest=sha256:785232e4b9e0ccad31e7ae502053173e9a358fb9ac0718f4575ee9b6a43037d9

Observation bbc9a83f-d902-4bc9-9eca-27272df2d955 · outbound

This paper cites Learning attention-guided pyramidal features for few-shot fine-grained recognition.Pattern Recognit., 130:108792, 2022.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Learning attention-guided pyramidal features for few-shot fine-grained recognition.Pattern Recognit., 130:108792, 2022

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.887495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.477027Z digest=sha256:bbc75c385aed86e12edbc319adb813d265e130bf88aba684c4ca84c0b7bed826

Observation 8e24685d-27c9-4dea-a1ca-70a889332559 · outbound

This paper cites Reliable few-shot learning under dual noises.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Reliable few-shot learning under dual noises.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.879140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.566879Z digest=sha256:6f46fcfcafba2d533af10ae0bd0d131ceabcb1c14193132341bfea19bf8b64a1

Observation 3eb7c0f8-e670-44a5-adec-3fd4df5e075c · outbound

This paper cites less is more.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering less is more

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.869669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.661141Z digest=sha256:137a8f1ee216454ff9b4914a861dc8cce3c0aecb0fbc2ff0c1bded641138bfd8

Observation 0bd197e9-b039-4303-a2ee-82c58233190d · outbound

This paper cites Flatten long-range loss landscapes for cross-domain few-shot learning.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Flatten long-range loss landscapes for cross-domain few-shot learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.861271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.779275Z digest=sha256:372988be3400d48b5e9d5309e455c30d9b5d8b5f0350a1b2365fdc0335df899e

Observation 58f9857e-dda3-4a19-95de-c76d68bb3247 · outbound

This paper cites Atten- tion temperature matters in vit-based cross-domain few-shot learning.Advances in Neural Information Processing Sys- tems, 37:116332–116354, 2024.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Atten- tion temperature matters in vit-based cross-domain few-shot learning.Advances in Neural Information Processing Sys- tems, 37:116332–116354, 2024

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.852755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.844776Z digest=sha256:d6f3e278a5aaac147dea1bd4a754174b4104434104b32366cac70ded7b791763

Observation 5e3fe6c7-d7ac-40f8-b505-1762803149cd · outbound

This paper cites Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:21:35.279175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.938559Z digest=sha256:6a738cc8e45af6172f51cf46de34c74a566ec40bd915a67529851d59c746519b

Observation 16a75935-5b4d-40a7-ad7b-11527a85109f · outbound

This paper cites Domain-rag: Retrieval-guided compo- sitional image generation for cross-domain few-shot object detection.Advances in Neural Information Processing Sys- tems, 38:147594–147614, 2026.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Domain-rag: Retrieval-guided compo- sitional image generation for cross-domain few-shot object detection.Advances in Neural Information Processing Sys- tems, 38:147594–147614, 2026

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.843739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:32.998735Z digest=sha256:4c524312a2b3e51f1c1e9bd48b6ddd4781c8077ffb96b51e79186cc0b116055c

Observation a30b55fe-e1e0-4c2d-a6f2-0a52ab81b846 · outbound

This paper cites Divide-and-conquer: Confluent triple-flow net- work for RGB-T salient object detection.IEEE Trans.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Divide-and-conquer: Confluent triple-flow net- work for RGB-T salient object detection.IEEE Trans

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.834898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:33.069627Z digest=sha256:6238b95291b4b6b045c470aa7580875cd70ac42601347eed1d73387e1ff15cc1

Observation 9a9fc1e9-7ab0-4584-9be6-92593922f906 · outbound

This paper cites Cross-domain few-shot object detection via enhanced open-set object detector.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Cross-domain few-shot object detection via enhanced open-set object detector

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.826437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:33.126245Z digest=sha256:ac9e576514c661a72bb7997031b06043d0e96188d08e974f6f6d496711b4781a

Observation 44c0a21a-3c19-451c-8d95-60b35b217d8e · outbound

This paper cites From global to local: Multi-scale out-of-distribution detection.IEEE Transactions on Image Processing, 32:6115–6128, 2023.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering From global to local: Multi-scale out-of-distribution detection.IEEE Transactions on Image Processing, 32:6115–6128, 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.817969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:33.167692Z digest=sha256:565be87ffd4af11ed219f128c4e13259b2096c0c39f0f98d432e2dadaf65777d

Observation fc0628b1-87db-4b26-9b17-4de1c05f6f7d · outbound

This paper cites Remedying target-domain astigmatism for cross-domain few-shot object detection.arXiv preprint arXiv:2603.18541,.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Remedying target-domain astigmatism for cross-domain few-shot object detection.arXiv preprint arXiv:2603.18541,

Reference 53

Resolution
verified exact
raw_fallback, observed 2026-08-06T21:21:35.199033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:33.250678Z digest=sha256:c20fb070ef7493104d283198f7b964f54696a0e92573bd9c37792fc552f9a782

Observation b6786feb-2c3d-4318-9c8c-81ecb53dd46e · outbound

This paper cites Classes matter: A fine-grained adversarial ap- proach to cross-domain semantic segmentation.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Classes matter: A fine-grained adversarial ap- proach to cross-domain semantic segmentation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.808577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:33.329585Z digest=sha256:7e68a4947b545312a3bdc72dcb2e7cac046eaf3823abc5f4bd691a3774fa6ebd

Observation dd70968c-6825-4b21-8830-b6124bf6c412 · outbound

This paper cites Toward fair and accurate cross-domain medical image segmentation: A vlm-driven active domain adaptation paradigm.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Toward fair and accurate cross-domain medical image segmentation: A vlm-driven active domain adaptation paradigm

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.798852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:33.405758Z digest=sha256:40f4b3cf16ccb7a4b51b5e77b008108e9ec26edee0aca9300f55c9e6311db0ab

Observation c22ed384-2041-45a1-954e-ced7ee6375ac · outbound

This paper cites Adaptive adversarial cross-domain segmen- tation network for high-resolution remote sensing images.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Adaptive adversarial cross-domain segmen- tation network for high-resolution remote sensing images

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.789298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:33.462304Z digest=sha256:d7ee94fd223b7cfa050e5f5d5bd37593f1c78c89c67d3b872e5e4d21ab721521

Observation ab73ee9e-89ca-4b7b-b0c2-0b29baebbd8e · outbound

This paper cites Lightweight frequency masker for cross-domain few-shot se- mantic segmentation.Advances in neural information pro- cessing systems, 37:96728–96749, 2024.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Lightweight frequency masker for cross-domain few-shot se- mantic segmentation.Advances in neural information pro- cessing systems, 37:96728–96749, 2024

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.780172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:33.557543Z digest=sha256:4482130eaa1dd6a647af79bd057060b44b2b9d29ba7f750f04ca4317feaa3320

Observation 97b58167-4437-474b-91e8-b569f4833f1c · outbound

This paper cites The devil is in low-level features for cross-domain few-shot seg- mentation.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering The devil is in low-level features for cross-domain few-shot seg- mentation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.770866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:33.626716Z digest=sha256:067b053793dded1135867d71d49f14c94157b7a0863ef34ede0ab3a01d3fbb55

Observation c805a8b5-3871-4a37-9f79-faaf4d7ac764 · outbound

This paper cites Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T21:21:33.687395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:33.687395Z digest=sha256:a01afce2a21d1790e59ecb0d3068f2bed9681bea51311e36de1e8b6b9d8944d2

Observation 3361363f-764c-4b79-8a98-962079603077 · outbound

This paper cites Qwen3-VL Technical Report.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Qwen3-VL Technical Report

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T21:21:33.794703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:33.794703Z digest=sha256:aa22db9117bebaf9abb474ee169f7d3c65d5c12efdaf237da3cf8689ca6f4eba

Observation 0e946ab6-5646-40e9-93ec-2e615ddf16fa · outbound

This paper cites Llamafactory: Unified efficient fine-tuning of 100+ language models.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Llamafactory: Unified efficient fine-tuning of 100+ language models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:21:35.761547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:33.970253Z digest=sha256:8e80b35bf41296399c7fed89b6d7e8a2f7e989233b0bc699c11048357f86e57f

Observation 1cf5fbe8-4975-4cb0-bbcd-18fc325832e6 · outbound

This paper cites OmniEgo-R$^2$: A Routed Reasoning Framework for the 1st Cross-Domain EgoCross Challenge at CVPR 2026.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering OmniEgo-R$^2$: A Routed Reasoning Framework for the 1st Cross-Domain EgoCross Challenge at CVPR 2026

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T21:21:34.085234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:34.085234Z digest=sha256:e2839998c191af605fdc26b324ac2682cade59db488783e9532071ccaf9c9942

Observation abe075dd-1400-4d6a-bfbe-a22f04073a79 · outbound

This paper cites The Right Inference Strategy Is All You Need: Nearly Training-Free Domain-Wise Inference for EgoCross Challenge.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering The Right Inference Strategy Is All You Need: Nearly Training-Free Domain-Wise Inference for EgoCross Challenge

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:21:34.862380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:21:34.184886Z digest=sha256:053b09cb1b9392ed9f09977556b0e71acdc8e179f3761185b4b1f74c2690c864

Observation 014078aa-ee28-4032-9624-07714ea75f5e · outbound

This paper cites Reflective Dialogue between Teacher and Solver Agents for Video Question Answering.

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Reflective Dialogue between Teacher and Solver Agents for Video Question Answering

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:21:34.629711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Gemini: A Family of Highly Capable Multimodal Models

Reference 65

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source=pdf_text observed=2026-08-06T21:21:34.411225Z digest=sha256:e6bbccef2d87c1216f06969f85bd854e30a43b2e17fe0b518a90e19948ff7c1c

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