Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.04543.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:11.802498Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:29:56.646975Z
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 9a5d20cf-ee17-4674-bb4e-74987ebac73d · inbound
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Reference 59
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2d40b92-bdc9-48d3-8b46-44b7b4dd22c1 · inbound
Backdoor Cleaning without External Guidance in MLLM Fine-tuning Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa391586-71f5-42cc-81f2-7686f595f365 · inbound
AI Flow: Perspectives, Scenarios, and Approaches Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Reference 101
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 926282d5-a1f7-4f77-8489-13eab0551947 · inbound
Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Reference 93
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09b70d92-c221-4c5d-bb18-351c279dd5fc · inbound
EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfb15644-0bdb-4469-867a-493c877c12e9 · inbound
OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4131de5b-485d-4e7b-8dc1-3e9533187204 · inbound
Adaptive Forensic Feature Refinement via Intrinsic Importance Perception Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1ad5d7c0-a289-4d49-896e-3daf0031abdf · inbound
Curvature-Guided Mixing for MLLM Adaptation Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.