Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Vision Foundation Models via Multimodal Continual Pre-Training
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.18931.
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 2026-06-30T22:56:43.298141Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:28:55.869127Z
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 a0ac5561-0de9-4a55-ac6a-1b6be85ae714 · inbound
jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers cites this paper.
jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers Enhancing Vision Foundation Models via Multimodal Continual Pre-Training
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-21T02:21:17.004501Z
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 1fc270fa-540c-48c6-a29a-12d73b3027ef · inbound
jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers cites this paper.
jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers Enhancing Vision Foundation Models via Multimodal Continual Pre-Training
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-21T02:21:17.004501Z
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 295ae530-6c9f-40d0-a41c-db0940039fb0 · inbound
jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers cites this paper.
jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers Enhancing Vision Foundation Models via Multimodal Continual Pre-Training
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-21T02:21:17.004501Z
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 4d778a25-db20-48c7-afae-87c9e024a33f · inbound
IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder cites this paper.
IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder Enhancing Vision Foundation Models via Multimodal Continual Pre-Training
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-21T02:21:17.004501Z
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 4a844d73-232e-462e-b260-d028b2f3a9fc · inbound
Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification cites this paper.
Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification Enhancing Vision Foundation Models via Multimodal Continual Pre-Training
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-21T02:21:17.004501Z
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.