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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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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=sha256:9cf6ed0b1b8b2a6334245b9aabf1f9921ef33f362a139e326fb6730d5ef232eb

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:28.560492Z digest=sha256:d2062cc4117b957d205aa1cc873b3887018d49bb6098337109a7afc5312e127f

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

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:28.802797Z digest=sha256:073c36a4576ccbd98b699d7c0349c64988d39cbcee48458dc4f3ca89c6bd34d9

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:28.995915Z digest=sha256:1643fcbfca995853d02ed52d629703044905a82167708b4ff2a7047c92d4a608

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=sha256:1c8150d1fa205cc90b3ba27def67b4943581f086b938f6831e9c603d896b89e1

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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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.

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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=sha256:963597981331c2e0b0f501216a54c1437d2dc063cc22b11a77f99751e9e3448c

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:ad89ef789b0794129c085b3b2fbd803e20516427f49c44d436bc1fa48b5b16f5

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.

source=pdf_text observed=2026-08-06T21:21:29.776719Z digest=sha256:3c7faa74d2dd74fff815d0efcf8de94df4c1e9bd7633c8a210356e1e3c3fe5bf

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=sha256:8f9cc5e4c93ef92d11893465e6bf9b9ec53b45b494e93c5f22589fb84d2ad565

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

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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.

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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=sha256:5a6edf1d2c0d848722bf8b5142e6f10ca7a69b53092b6a230b40dc4fd3cc4d57

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:a3502d6882e50b0720e3fc2a34df367bdea8f12193a9f8fff41de0e2f7a357ec

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:30.628786Z digest=sha256:ecd40cbea5ee6903b7d9e7af8f594d37791920f16dc94b1438f0310d24708583

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=sha256:1a58032135dbe4d04fd8975b7a7d0f3d96d119286ac359adb3f4d3398bb8254d

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=pdf_text observed=2026-08-06T21:21:30.948831Z digest=sha256:d0b69720a9a41d629d8852b4b27a1abb8f583d5f0d202d0e8c87da57ed87e139

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:31.063186Z digest=sha256:a824b0dcae52f99091bb9607a1da81ec71988b3987808f492f6c1637f8cbfb99

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:c3262280de1b03c495a739caab2d782a78a0a01bc7345bb4c5f1426a8d02b994

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=sha256:17ba266be0e1865c1fb8d077206fc7ea114baf7033844939be76477e5f6a0500

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=sha256:1071149594a4e94e273f8391999613833f876dd234bdddde38c29615cce75a98

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=sha256:3654d53aa3a8a738849929048219a7fd25a461a8a38c758bc891c60cc1796303

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=sha256:882250177b760d00aa9899adb55183e4fdc853fdd2a1f68fb293d8ba3cb80fdb

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:bd095a3e78cad27198361ba10a1e1e5d7e797d2edf42c4bef700d180d97ab837

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

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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:d5e5c782ca623b7e57d9f8098db8dfa39d8dd5fd09cb8688a73583212ebad564

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=sha256:1805ff2acdf8771163d41ba9b497c477b5e7583d6360002f72a87d34f219b5ad

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=sha256:21d3b4af5d0b040dbf51f9bc64d4899bf604b188966fc58acb0d3df554a24584

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=sha256:5d073f075e1280b6166e561d3856cd21db9fb190ed9ea0ff479d299d66da038f

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=sha256:17a69a085e620cf6842d8161668ad18c854f4ac342e5da6a32d7f05e88f9ff76

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=sha256:83acd3ede6e9ebe141e02879d420f7060dd5fe5fb279116a6f7bc2aec769f6d5

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:f08788c374a933a661abb6a60dc1e3026895c6e03cc17a0858bd612215f3f670

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:fd8dcbaf3620349f0092126301709f2a4b1034987e73dea7797ef183a3b161eb

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=sha256:9914ae07861217b4faf68c3c396d24beafcfbf9cf0e275019fc1b534a72affda

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:f5c43322ffbc006ebde42b891c2e9324cfe3647d11dda89eda1cbef626fc9cd3

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:d5476645b198416f9fcad5efeb2ba322c21da9ddc655d40fd16d27b2fe054600

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=sha256:49db4d9e9a0ac3a0fb933e2bbc4ec1dca1676bd407cf8f0ad61f2c86572e249f

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:eeb2752f3b76023f1e906c69cafd4f9ef4ff0e2328e7adf137b286b09863e90d

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=sha256:0ace534d06cb89c23d6c68bda051caf4066909403e17785430073d7f019ae9dc

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=sha256:826518cc965fdcbe633d019d31ec30e296fae3d26b05fc46a8ed97a815d048e7

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:b22232b0dccaff39cd17bbea02f9c374ee24612eb7239b4fee906fd087ff536b

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:ebfcfda20c18d5984f1daf31007fbcfbb276527c71bd839b3405aa188aa1a034

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=sha256:503c56c73af2eb22c8836c414637ff59cc69a25e4e9a78fa6f6edeadbc220f68

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=sha256:79e9b3087b6bc3311b0d605181d531fa3134167726e7d4453fcd00e42107d6c9

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:c65b4da0a4fa0ce5796cd5ccbc7a1d1337dc9e9be02245cb5200173a40604ace

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:dd82a65b7936e598a2f2b49b53c52dda8b6316bcb98b367d9294be44410f4771

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=sha256:92b258e3680c5150525191e8f4f86b8f47508a317c584f67d7cb236adf258058

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=sha256:20813737ec83a4fc8539d3aa8711e184feddc04278ce7c188b076643dcf36f08

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=sha256:29cccb4c5f20ad90c2ddb8d9c9ab90b853266a0dfe872c15be6ce9d819fd8523

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=sha256:0d9f46655e5bc53ca96308256161bafc1e3c85bdeef8eb61f122cecade6fcd96

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=sha256:84f16938d74e42cc100bf39d114bc736eca67d00c97ec8d3cb36a10f00d3f894

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=sha256:3396badc8dbbaad525f57f78284e5e1650f31988cceb07a2bfe8e277960c9dd9

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:e996ff5ea0b0706f709f4b61a29f304f86262863dda7c8e80e1447c642bbac06

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:a85f3b2a6ad3008844eb44ed54af3f883cdc5c51aadeaf3a4c4629384bfddee1

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:b85e881046dd3d4a93ae488736bf74700cca2800b2ae8c4c963d5824834a1009

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=sha256:1ca400a3101236ca245841422747382120248bc671e98ecfccbf063911e3148a

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:add8198e66a52461529a195b53da0d18146309fcab9aabd0272c53a814ed2947

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:ecf7a6c4d5858a6173e44dc8b006ed7fe1ee90fc53c2399c5094318de39ba1f6

Pith citing papers

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