Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.05300.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:51:15.926451Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T07:32:59.926536Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4e539e94-1694-4adf-a8e6-c98bc9fc2bd6 · inbound
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities cites this paper.
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:51:15.926451Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b49aef4-963f-401d-b17e-026c6848793c · inbound
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis cites this paper.
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T07:32:59.927944Z
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.
Observation e37cc064-0617-4076-85ac-97891e56cc37 · inbound
SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing cites this paper.
SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:21:14.193468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a0dc93f-475a-4c2e-852c-f7b70ace5477 · inbound
Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types cites this paper.
Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:09:48.105976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06981515-a9e6-4744-9109-6970e14da905 · inbound
Large scale cross-regional remote sensing flood monitoring framework for operative mapping and impact analysis cites this paper.
Large scale cross-regional remote sensing flood monitoring framework for operative mapping and impact analysis Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T08:32:21.877744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.