Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:59.503626Z
Paper Citation Record · LEDGER
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025
As of 14 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 4 inbound Pith citation observations for arXiv:2506.05856.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T20:34:35.048469Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T04:08:59.885995Z
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy14
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2f443e88-6f5d-4d08-ad89-862e47251202 · outbound
This paper cites Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:56.249004Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 725b2662-33f0-4a09-a40b-44a60a7ca21b · outbound
This paper cites Cafuser: Condition-aware multimodal fusion for robust semantic perception of driving scenes.IEEE Robotics and Automation Letters, 2025.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Cafuser: Condition-aware multimodal fusion for robust semantic perception of driving scenes.IEEE Robotics and Automation Letters, 2025
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:04.443359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 005689ea-7fa6-4dd9-a440-cf2077ddbf35 · outbound
This paper cites Masked-attention mask transformer for universal image segmentation.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Masked-attention mask transformer for universal image segmentation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:56.608701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a9bd9f0-db89-474f-9dbb-3059afafdf53 · outbound
This paper cites ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:56.887838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9ede233-0518-4a9b-adb7-71326dc6b4df · outbound
This paper cites Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:04.082575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dcc6bcdd-1821-4e1d-bdbc-b6f208832efe · outbound
This paper cites X-prompt: Multi-modal visual prompt for video object segmentation.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 X-prompt: Multi-modal visual prompt for video object segmentation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:03.750415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2248e8af-93c6-461e-8043-9a5845b92469 · outbound
This paper cites Mask r-cnn.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Mask r-cnn
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:57.352999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c715af6-5be4-49c1-9adf-03527e671253 · outbound
This paper cites Segment any- thing.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Segment any- thing
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:03.388111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1eec0d54-d72c-48c0-9cef-dd27f930a10e · outbound
This paper cites Lisa: Reasoning segmentation via large language model.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Lisa: Reasoning segmentation via large language model
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:57.715692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dffa37fb-3d66-4632-aa6e-62a3288a89c9 · outbound
This paper cites Onevos: unifying video object segmentation with all-in-one transformer framework.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Onevos: unifying video object segmentation with all-in-one transformer framework
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:03.076345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation bb2f6463-df76-41e6-a09a-21e7517ed54e · outbound
This paper cites Omg-seg: Is one model good enough for all segmentation? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 27948–27959, 2024.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Omg-seg: Is one model good enough for all segmentation? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 27948–27959, 2024
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:02.653871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b17b2a62-90ab-4414-8a7e-aeedd7231407 · outbound
This paper cites Visual instruction tuning, 2023.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Visual instruction tuning, 2023
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:02.276457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8f8f8368-3aaf-454a-9730-17e3c90ee25b · outbound
This paper cites Glamm: Pixel grounding large multimodal model.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Glamm: Pixel grounding large multimodal model
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:01.929591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c39d921c-cc6a-44fd-9681-6a09baecdfa2 · outbound
This paper cites Pixellm: Pixel reasoning with large multimodal model.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Pixellm: Pixel reasoning with large multimodal model
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:58.523241Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd7159c9-5b50-43aa-8975-22f8c1e711db · outbound
This paper cites Object segmentation by mining cross-modal se- mantics.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Object segmentation by mining cross-modal se- mantics
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:01.625200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c747ee1b-86f7-4769-86c8-34b97e4cbe48 · outbound
This paper cites Universal instance percep- tion as object discovery and retrieval.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Universal instance percep- tion as object discovery and retrieval
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:01.197110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 759a649d-20e8-4891-9aef-ac73f5c4a62c · outbound
This paper cites Psalm: Pixelwise segmentation with large multi-modal model.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Psalm: Pixelwise segmentation with large multi-modal model
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:00.878470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 19814800-e546-41d5-9444-5c9be91d9830 · outbound
This paper cites Learning modality-agnostic representation for semantic segmentation from any modalities.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Learning modality-agnostic representation for semantic segmentation from any modalities
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:00.648495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4410f5b4-1a5e-42e0-a987-d38127f4db51 · outbound
This paper cites Distilling efficient vision transformers from cnns for seman- tic segmentation.Pattern Recognition, 158:111029, 2025.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Distilling efficient vision transformers from cnns for seman- tic segmentation.Pattern Recognition, 158:111029, 2025
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:00.321486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 78db28db-7858-4696-b071-c70b71236434 · outbound
This paper cites Camsam2: Segment any- thing accurately in camouflaged videos.arXiv preprint arXiv:2503.19730, 2025.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Camsam2: Segment any- thing accurately in camouflaged videos.arXiv preprint arXiv:2503.19730, 2025
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:59.275393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c941f7fe-cc7c-4db7-95a0-8ab2d87d253f · outbound
This paper cites Segment everything everywhere all at once.Advances in Neural Information Processing Systems, 36, 2024.
Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025 Segment everything everywhere all at once.Advances in Neural Information Processing Systems, 36, 2024
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:19:00.032209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
Observation 45f5f125-8168-42f0-a724-759311ab1d31 · inbound
V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence cites this paper.
V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:08:59.888437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 378ac56e-6c33-4603-adf4-bd3f9b767014 · inbound
EgoSound: Benchmarking Sound Understanding in Egocentric Videos cites this paper.
EgoSound: Benchmarking Sound Understanding in Egocentric Videos Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:46:42.453337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e1f06317-7c39-4021-8e94-02a06f54a6ca · inbound
From Synchrony to Sequence: Exo-to-Ego Generation via Interpolation cites this paper.
From Synchrony to Sequence: Exo-to-Ego Generation via Interpolation Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:25:26.135752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation bead3897-5736-46bc-bd36-2ff7e272972b · inbound
From Synchrony to Sequence: Exo-to-Ego Generation via Interpolation cites this paper.
From Synchrony to Sequence: Exo-to-Ego Generation via Interpolation Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T20:34:35.048469Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.