Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T23:26:20.608195Z
Paper Citation Record · LEDGER
HD-EPIC: A Highly-Detailed Egocentric Video Dataset
As of 17 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 12 inbound Pith citation observations for arXiv:2502.04144.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:01:16.563055Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T04:09:35.177453Z
Reference resolution
93 of 93 outbound references displayed
- verified exact0
- verified fuzzy62
- unresolved30
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6b58ec32-1724-4f13-99ad-d20874ee7307 · outbound
This paper cites https : / / facebookresearch.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset https : / / facebookresearch
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.239278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34cd0556-806f-4396-b060-ca5ea742b32b · outbound
This paper cites https://www.blender.org/.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset https://www.blender.org/
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.244077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57796c86-1df2-4df5-a202-2a511bb1b722 · outbound
This paper cites https://www.myfitnesspal.com/.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset https://www.myfitnesspal.com/
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.248459Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df99a31b-f832-4eb0-bd61-ab2e7ca88419 · outbound
This paper cites https://www.robots.ox.ac.uk/ vgg/software/lisa/.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset https://www.robots.ox.ac.uk/ vgg/software/lisa/
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.252480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6238a78c-d7f6-4b6c-86ea-cd09023de69c · outbound
This paper cites GPT-4 Technical Report.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset GPT-4 Technical Report
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.256546Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cbe487a-721f-4381-91cc-e06db3e56a54 · outbound
This paper cites Flamingo: a visual language model for few-shot learning.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Flamingo: a visual language model for few-shot learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.260880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddbffbbd-65e7-4f55-b0d1-e29cb100901b · outbound
This paper cites HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.265031Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 333f9254-8eb1-45d4-bb86-ce42e95dab06 · outbound
This paper cites TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.268946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9f5b9f2-f33c-4e88-9ca1-14b85fce6a1a · outbound
This paper cites TIM: A Time Interval Machine for Audio-Visual Action Recognition.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset TIM: A Time Interval Machine for Audio-Visual Action Recognition
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.273390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f11e106c-57d2-465a-9689-6925ee6f98e8 · outbound
This paper cites ReXTime: A benchmark suite for reasoning-across-time in videos.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset ReXTime: A benchmark suite for reasoning-across-time in videos
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.277499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cc1d324-9173-4046-8261-41d82ece59e5 · outbound
This paper cites InternVL: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset InternVL: Scaling up vision foundation models and aligning for generic visual-linguistic tasks
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.282222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a512596-75ad-446e-91bf-d19821db8439 · outbound
This paper cites Putting the object back into video object segmentation.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Putting the object back into video object segmentation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.286474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd9511dc-7227-4a82-a2e0-f230d44ea23a · outbound
This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.290885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2810f8ec-750d-4ed8-aac0-05e31cc64c54 · outbound
This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.295053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f9ee443-d1d2-492a-bd74-25d790104880 · outbound
This paper cites Lost in Time: A New Temporal Benchmark for VideoLLMs.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.299457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13ac7e72-21c4-4e7d-a965-4249943469d7 · outbound
This paper cites ScanNet: Richly-annotated 3D reconstructions of indoor scenes.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset ScanNet: Richly-annotated 3D reconstructions of indoor scenes
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.303496Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aad9994e-4714-41cc-916a-b0a9b606482e · outbound
This paper cites Scaling egocentric vision: The EPIC-KITCHENS dataset.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Scaling egocentric vision: The EPIC-KITCHENS dataset
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.307508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2389f14f-caad-4b4d-aff3-9a65debf586e · outbound
This paper cites Rescaling egocentric vision: Collection, pipeline and challenges for EPIC-KITCHENS-100.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Rescaling egocentric vision: Collection, pipeline and challenges for EPIC-KITCHENS-100
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.311313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b91fb94-d96b-405b-a329-4c03ecbfdfd6 · outbound
This paper cites EPIC-KITCHENS VISOR benchmark: Video segmentations and object relations.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset EPIC-KITCHENS VISOR benchmark: Video segmentations and object relations
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.672898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 205dbc3e-002d-4a48-b7d8-6182f11aae92 · outbound
This paper cites Guide to the Carnegie Mellon University Multimodal activity (CMU-MMAC) database.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Guide to the Carnegie Mellon University Multimodal activity (CMU-MMAC) database
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.660287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ba11a6a8-a321-48de-b162-74c112609490 · outbound
This paper cites The Llama 3 Herd of Models.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset The Llama 3 Herd of Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.323259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52d8b4e9-9d95-496e-a70c-bc03e7e805e0 · outbound
This paper cites The VIA annota- tion software for images, audio and video.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset The VIA annota- tion software for images, audio and video
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.647028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 76dd251e-3578-4521-aaaf-e683b2ed0c55 · outbound
This paper cites MMBench-Video: A long-form multi-shot benchmark for holistic video under- standing.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset MMBench-Video: A long-form multi-shot benchmark for holistic video under- standing
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.634308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5a9a2edb-a8c6-4af6-b604-b11ededa64d4 · outbound
This paper cites SlowFast networks for video recognition.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset SlowFast networks for video recognition
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.621676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a1c31c70-ffb3-484e-8083-1754ae5d28b7 · outbound
This paper cites Video-MME: The First-Ever Com- prehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Video-MME: The First-Ever Com- prehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.607864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 18df731d-b49a-4c57-b595-ea04dd69bdba · outbound
This paper cites Omnivore: A Sin- gle Model for Many Visual Modalities.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Omnivore: A Sin- gle Model for Many Visual Modalities
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.594218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dfce173c-7e13-4c23-8c55-b34750501abb · outbound
This paper cites SSAST: Self-Supervised Audio Spectrogram Transformer.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset SSAST: Self-Supervised Audio Spectrogram Transformer
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.581052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b5cf30ab-846b-4562-a27b-1c1aea935df1 · outbound
This paper cites an unresolved cited work.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T23:26:21.568176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f5a3544a-2fc0-44cc-90d4-81804ef31848 · outbound
This paper cites Jawahar, Richard Newcombe, Hyun Soo Park, James M.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Jawahar, Richard Newcombe, Hyun Soo Park, James M
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.555543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e76151dc-8020-40e1-bab8-f986b2b31117 · outbound
This paper cites spaCy 2: Natural lan- guage understanding with Bloom embeddings, convolutional neural networks and incremental parsing.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset spaCy 2: Natural lan- guage understanding with Bloom embeddings, convolutional neural networks and incremental parsing
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.542221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 72dd8f29-c4e9-43cf-bed9-d36f2d7650f7 · outbound
This paper cites EPIC-SOUNDS: A Large- Scale Dataset of Actions that Sound.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset EPIC-SOUNDS: A Large- Scale Dataset of Actions that Sound
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.529201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 145e6045-089a-4942-b155-55c22f602b7c · outbound
This paper cites Eye–Hand Coordination in Object Manipu- lation.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Eye–Hand Coordination in Object Manipu- lation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.516007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 049a51ed-9c8d-45fc-950f-def6c197d0fc · outbound
This paper cites Toronto annotation suite.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Toronto annotation suite
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.502573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cdbf5bfb-6534-49ba-a1f7-2894ac0501cf · outbound
This paper cites Slow-Fast Auditory Streams For Audio Recognition.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Slow-Fast Auditory Streams For Audio Recognition
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.489710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bcc59d2c-02dc-4ca1-a19c-65aa0bfda331 · outbound
This paper cites ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.476503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 85777be6-3171-4d3a-8ce1-0bc36016e622 · outbound
This paper cites Segment any- thing.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Segment any- thing
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.463809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2e564b7a-bbc7-4c5c-995d-a6c067331498 · outbound
This paper cites Constituency parsing with a self-attentive encoder.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Constituency parsing with a self-attentive encoder
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.451571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 333b30a2-7b90-4e7b-9573-a8399ba61496 · outbound
This paper cites NeMo: a toolkit for building AI applications using Neural Modules.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset NeMo: a toolkit for building AI applications using Neural Modules
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.390501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de13f26c-8fc1-47e8-baea-d8b8b9992ee6 · outbound
This paper cites LEGO: Learning EGOcen- tric Action Frame Generation via Visual Instruction Tuning.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset LEGO: Learning EGOcen- tric Action Frame Generation via Visual Instruction Tuning
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.438690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8bb387df-992d-4c19-b3b7-c66f69ff069a · outbound
This paper cites The roles of vision and eye movements in the control of activities of daily living.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset The roles of vision and eye movements in the control of activities of daily living
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.425949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 81312a54-6a25-4447-9d27-9d19e483d7de · outbound
This paper cites Dis- covering important people and objects for egocentric video summarization.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Dis- covering important people and objects for egocentric video summarization
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.413364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 033716c5-5ed8-4f86-b20e-1fec38415dd8 · outbound
This paper cites SEED-Bench: Benchmarking Multimodal Large Language Models.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset SEED-Bench: Benchmarking Multimodal Large Language Models
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.400554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 17dbfa49-15c2-49f9-ac50-50eaedab664c · outbound
This paper cites MVBench: A Comprehensive Multi-modal Video Under- standing Benchmark.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset MVBench: A Comprehensive Multi-modal Video Under- standing Benchmark
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.388272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 85926b9f-a766-443f-a9fd-4f0cf4fa0d99 · outbound
This paper cites VITATECS: A Diagnos- tic Dataset for Temporal Concept Understanding of Video- Language Models.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset VITATECS: A Diagnos- tic Dataset for Temporal Concept Understanding of Video- Language Models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.375749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c3731357-6ad9-45c0-b5af-5e804a335f21 · outbound
This paper cites In the eye of the beholder: Gaze and actions in first person video.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset In the eye of the beholder: Gaze and actions in first person video
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.363381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation abffdc8d-9218-4c67-b187-fde7bb69b7d9 · outbound
This paper cites HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.350918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ead22a22-2625-4139-9514-dd4a39c11f9a · outbound
This paper cites Aria Everyday Activities Dataset.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Aria Everyday Activities Dataset
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.426007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c4b3308-b6c0-4ec1-8614-6d6355827408 · outbound
This paper cites OpenEQA: Embodied Question Answering in the Era of Foundation Models.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset OpenEQA: Embodied Question Answering in the Era of Foundation Models
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.338306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dd774e1d-80e4-4e2b-b727-197ec28b106b · outbound
This paper cites EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.325615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e79da7db-95b1-4d17-ac69-bc589f59ef78 · outbound
This paper cites Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Percep- tion.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Percep- tion
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.312899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 48ba698e-331f-42b1-8f93-80119f4d62e2 · outbound
This paper cites Asano, Is- han Misra Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, and Jo ˜ao F.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Asano, Is- han Misra Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, and Jo ˜ao F
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.300066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 416c5761-2227-4a3b-b4c8-3c1a91fdb09f · outbound
This paper cites CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.287627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 370ea446-5072-40df-8eeb-be6464d288eb · outbound
This paper cites A benchmark dataset and evaluation methodology for video object segmentation.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset A benchmark dataset and evaluation methodology for video object segmentation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.274927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f1537935-ec6e-428c-9ef2-311aede18cb3 · outbound
This paper cites It’s just another day: Unique video captioning by discriminitave prompting.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset It’s just another day: Unique video captioning by discriminitave prompting
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.262237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d04eaa30-cc79-477a-b00c-bdeff0a72a30 · outbound
This paper cites Detecting activities of daily living in first-person camera views.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Detecting activities of daily living in first-person camera views
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.249602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0b1aa5b7-6336-4d2b-a86c-d72ea5a3cb4b · outbound
This paper cites Spatial Cognition from Egocentric Video: Out of Sight, Not Out of Mind.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Spatial Cognition from Egocentric Video: Out of Sight, Not Out of Mind
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.236851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 00134e01-a07e-4b6c-b28e-6ce0c39b278c · outbound
This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset The 2017 DAVIS Challenge on Video Object Segmentation
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.465518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 830b92e6-9c90-4cfb-bc4c-96879489c5bd · outbound
This paper cites Perception test: A diagnostic benchmark for multimodal video models.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Perception test: A diagnostic benchmark for multimodal video models
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.224189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fad31074-04f5-4dd0-ae3e-8fef698aa4a4 · outbound
This paper cites Learn- ing transferable visual models from natural language super- vision.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Learn- ing transferable visual models from natural language super- vision
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.211916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 710fb2ad-1545-469b-8e77-6a375545d6e5 · outbound
This paper cites Robust speech recognition via large-scale weak supervision.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Robust speech recognition via large-scale weak supervision
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.198914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dc96536d-a0dc-4372-8412-b3380527fb0a · outbound
This paper cites EGO- CH: Dataset and fundamental tasks for visitors behavioral understanding using egocentric vision.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset EGO- CH: Dataset and fundamental tasks for visitors behavioral understanding using egocentric vision
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.186512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bce228f4-3fdf-47ff-a7e2-81cc3fe51f4a · outbound
This paper cites The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.173854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation feaa7ba2-28a7-4a28-bd82-b01be462a69c · outbound
This paper cites Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.161040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 52e5403b-a297-471b-a5e0-f8ad87b8f468 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset SAM 2: Segment Anything in Images and Videos
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.492266Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff09b05f-5e05-4cf5-9ed2-def48e39d4f1 · outbound
This paper cites Structure-from-motion revisited.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Structure-from-motion revisited
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.148656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 40805fc2-12fa-422a-99a9-1c6828160e3f · outbound
This paper cites Pixelwise view selection for un- structured multi-view stereo.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Pixelwise view selection for un- structured multi-view stereo
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.136075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 94765ffb-a2d3-4da9-8485-488a73620f16 · outbound
This paper cites IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.123631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e43c87e6-4d50-4c04-afec-ca70c3a2cfe6 · outbound
This paper cites As- sembly101: A large-scale multi-view video dataset for un- derstanding procedural activities.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset As- sembly101: A large-scale multi-view video dataset for un- derstanding procedural activities
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.111199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 40fc5ee3-465a-4ce8-8295-8c27688d35d3 · outbound
This paper cites Actor and observer: Joint modeling of first and third-person videos.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Actor and observer: Joint modeling of first and third-person videos
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.098608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1c381484-77f0-4ab7-8902-121427587990 · outbound
This paper cites FLA V A: A foundational language and vision alignment model.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset FLA V A: A foundational language and vision alignment model
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.086030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f761f84d-13c9-4478-b742-9a6525e80604 · outbound
This paper cites Krishnacam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Krishnacam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.073225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 05f7b50e-1e30-4414-b6f9-8b06ababf4c7 · outbound
This paper cites Project Aria: A New Tool for Egocentric Multi-Modal AI Research.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Project Aria: A New Tool for Egocentric Multi-Modal AI Research
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.523883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c17ed54f-c132-4368-bb14-3a0be5375339 · outbound
This paper cites Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activi- ties.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activi- ties
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.060615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5def4a60-bc53-4f9e-9c7a-98e50220b20a · outbound
This paper cites EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.532170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4421fd1d-3c99-4217-b79c-3069662c99d1 · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.536527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f2cc7f4-2be9-49e5-819b-bb30040f9cba · outbound
This paper cites VideoMAE: Masked autoencoders are data-efficient learners for self-supervised video pre-training.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset VideoMAE: Masked autoencoders are data-efficient learners for self-supervised video pre-training
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.047878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation db29982c-51d7-4fa7-a6e6-4dc328e7eb01 · outbound
This paper cites EPIC Fields: Marrying 3D Geometry and Video Understanding.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset EPIC Fields: Marrying 3D Geometry and Video Understanding
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.034653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ab3356ad-dc3a-4c49-9097-d9354f031ee4 · outbound
This paper cites SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.021685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0d7ecea7-deff-4361-9c4c-ce3df4a2d39f · outbound
This paper cites InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:21.008203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d2b48275-bd4a-4ee1-9150-2091110cc0ed · outbound
This paper cites HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:20.994826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 68de8828-7b2a-44cd-b6e1-a90613c2a053 · outbound
This paper cites Florence-2: Advancing a unified representation for a variety of vision tasks.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Florence-2: Advancing a unified representation for a variety of vision tasks
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:20.981658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5012ac33-4628-4840-a9db-940960bb8ee5 · outbound
This paper cites Can I trust your answer? Visually grounded video question answering.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Can I trust your answer? Visually grounded video question answering
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:20.968023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 58be70ce-1a26-408b-a7f2-859328d1d6d7 · outbound
This paper cites YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.568915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 447b4751-a4ca-4fa0-b4c9-b0ce0527827e · outbound
This paper cites The 2nd large-scale video object segmentation challenge - video object segmen- tation track, 2019.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset The 2nd large-scale video object segmentation challenge - video object segmen- tation track, 2019
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:20.955251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4a208cbc-f21d-4d8e-adaf-e50d2be26c13 · outbound
This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:20.942500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 36f94223-53f9-4543-a414-c5835cb0ba20 · outbound
This paper cites MM-Ego: Towards Building Egocentric Multimodal LLMs.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset MM-Ego: Towards Building Egocentric Multimodal LLMs
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:20.928595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 90f44fcc-27db-4ab0-b627-4f056604030f · outbound
This paper cites Es- timating body and hand motion in an ego-sensed world.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Es- timating body and hand motion in an ego-sensed world
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:20.914857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 856ad914-69c9-4f4c-a4a1-b59626b61d92 · outbound
This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:20.901873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e79ee3c6-d068-4c32-9b59-2ac9a81cf4ef · outbound
This paper cites Long Context Transfer from Language to Vision.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Long Context Transfer from Language to Vision
Reference 89
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.592106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1d6fdb8-f008-4e9b-bf41-016f8e7b30e9 · outbound
This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset LLaVA-Video: Video Instruction Tuning With Synthetic Data
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:26:20.596294Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8ad5e72-7c0b-4e97-bfe5-102e4f14ee5b · outbound
This paper cites Instance tracking in 3D scenes from egocentric videos.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Instance tracking in 3D scenes from egocentric videos
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:20.888751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bbf72b08-6b42-4df1-b940-7b1bfde916b6 · outbound
This paper cites Needle In A Video Haystack: A Scalable Synthetic Framework for Benchmarking Video MLLMs.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset Needle In A Video Haystack: A Scalable Synthetic Framework for Benchmarking Video MLLMs
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T23:26:20.875976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8e32b923-523c-4190-a07e-316a8b53e8c9 · outbound
This paper cites use something.
HD-EPIC: A Highly-Detailed Egocentric Video Dataset use something
Reference 93
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-08T23:26:20.861665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
Observation 6b2dc4de-d3ef-48d2-b925-a88263011032 · inbound
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset cites this paper.
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:51:40.469649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54f43393-f7a1-4e3a-bc4c-e77a68170581 · inbound
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding cites this paper.
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:33:37.342897Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb94633a-c344-46d0-a195-ee1cbbcc352c · inbound
MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks cites this paper.
MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:53.375278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7ad62cc-2cef-4822-81b9-d232a190337d · inbound
Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research cites this paper.
Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 101
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:55:17.068649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c640ee3-a711-4b62-a391-8a8c515ba6f7 · inbound
Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning cites this paper.
Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:34:33.661243Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3819323b-47f2-4425-a1cd-214106eeb319 · inbound
EgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment cites this paper.
EgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T06:36:00.368395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ff3e135d-9424-4c5b-8825-90d4de8cae97 · inbound
EgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment cites this paper.
EgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:18:16.956499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cba8f6aa-fe85-419c-8228-9993ffeb94a7 · inbound
World Action Models: The Next Frontier in Embodied AI cites this paper.
World Action Models: The Next Frontier in Embodied AI HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 202
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:07:17.880503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 36eee56d-e77c-4465-acc7-50a10a415e1a · inbound
EGOSTREAM: A Diagnostic Benchmark for Streaming Episodic Memory in Egocentric Vision cites this paper.
EGOSTREAM: A Diagnostic Benchmark for Streaming Episodic Memory in Egocentric Vision HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T22:42:46.381178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0142080b-618f-4726-8890-db94be87cfd5 · inbound
World Action Models: A Survey cites this paper.
World Action Models: A Survey HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 134
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T04:09:35.179773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6b8a99be-e822-4964-b95d-2d868d4a68a8 · inbound
Data Pyramid for Embodied Manipulation: A Survey cites this paper.
Data Pyramid for Embodied Manipulation: A Survey HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 299
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T06:18:55.963116Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25a8e8db-9fa3-4db0-8dc0-8cc1165cfd06 · inbound
VLAff: Vision-Language-Affordance Model for Unified Actionable Affordances cites this paper.
VLAff: Vision-Language-Affordance Model for Unified Actionable Affordances HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:01:16.563055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.