Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.10928.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:28:55.962111Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:26:35.777715Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 50aef3b6-ccc3-44ca-8ad4-2df5516d0ba3 · inbound
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
Reference 69
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e27cb4aa-2d05-4bd2-9e3f-da99a794f8e3 · inbound
Backdoor Cleaning without External Guidance in MLLM Fine-tuning Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f5cc45e-8a91-4853-8278-83229e352999 · inbound
Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
Reference 94
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dd389d7-4e46-4f77-95f2-713ec43ba291 · inbound
LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.