Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.14141.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:18.655378Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:09:55.073743Z
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 61a7ef6b-27f3-4b50-8a02-cc88f72dbcf5 · inbound
Reasoning Segmentation for Images and Videos: A Survey Empowering Segmentation Ability to Multi-modal Large Language Models
Reference 98
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 517d6065-62a0-40aa-91b7-816888cdbd26 · inbound
PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs Empowering Segmentation Ability to Multi-modal Large Language Models
Reference 59
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbe9196e-3292-48cd-8283-79d7e716a3a3 · inbound
HRSeg: High-Resolution Visual Perception and Enhancement for Reasoning Segmentation Empowering Segmentation Ability to Multi-modal Large Language Models
Reference 67
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51c78503-c829-4065-ac28-bdf4c5767f0a · inbound
Train the Agent, Not the Expert: Learning to Harness Heterogeneous Experts for Multi-Turn Visual Reasoning Empowering Segmentation Ability to Multi-modal Large Language Models
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 974ace4c-7dff-451a-b5ce-44a79973b224 · inbound
From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models Empowering Segmentation Ability to Multi-modal Large Language Models
Reference 73
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.