Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Multimodal Large Language Models Using Continual Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.19925.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T23:37:28.727210Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T14:35:46.680671Z
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 c7e6b685-9dc2-4a6e-abc3-d5ab741ae19e · inbound
Efficient Few-Shot Continual Learning in Vision-Language Models cites this paper.
Efficient Few-Shot Continual Learning in Vision-Language Models Improving Multimodal Large Language Models Using Continual Learning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:37:28.727210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 996bb8ad-b7c6-4031-973c-738e7204d428 · inbound
CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging cites this paper.
CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging Improving Multimodal Large Language Models Using Continual Learning
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:09.811067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 87b82e1a-ae47-4dba-8aa7-07b659d06b43 · inbound
Octopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language Models cites this paper.
Octopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language Models Improving Multimodal Large Language Models Using Continual Learning
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T14:35:46.682171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.