Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-efficient Large Vision Models through Sequential Autoregression
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.04841.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T13:31:55.497762Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:57:38.406925Z
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 70f50eae-745f-4107-bb13-416c2d31ca6e · inbound
Probing Intrinsic Medical Task Relationships: A Contrastive Learning Perspective cites this paper.
Probing Intrinsic Medical Task Relationships: A Contrastive Learning Perspective Data-efficient Large Vision Models through Sequential Autoregression
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:25:50.103898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8f85c82a-1627-4218-b997-3508cf5b8f9b · inbound
From Static to Interactive: Adapting Visual in-Context Learners for User-Driven Tasks cites this paper.
From Static to Interactive: Adapting Visual in-Context Learners for User-Driven Tasks Data-efficient Large Vision Models through Sequential Autoregression
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:50:56.324977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 95662100-cdc7-4167-a714-c6f5d98b59b1 · inbound
Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model cites this paper.
Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model Data-efficient Large Vision Models through Sequential Autoregression
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T04:57:38.408241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.