Paper Citation Record · LEDGER

Empowering Segmentation Ability to Multi-modal Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.14141.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2403.14141 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:18:39.735937Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T15:09:55.073743Z

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 280e1d62-fb91-4fa4-89fb-ba6207e02fce · inbound

Multimodal 3D Reasoning Segmentation with Complex Scenes cites this paper.

Multimodal 3D Reasoning Segmentation with Complex Scenes Empowering Segmentation Ability to Multi-modal Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T15:47:37.292450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61a7ef6b-27f3-4b50-8a02-cc88f72dbcf5 · inbound

Reasoning Segmentation for Images and Videos: A Survey cites this paper.

Reasoning Segmentation for Images and Videos: A Survey Empowering Segmentation Ability to Multi-modal Large Language Models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:18.655378Z

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 cites this paper.

PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs Empowering Segmentation Ability to Multi-modal Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:19.407889Z

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 cites this paper.

HRSeg: High-Resolution Visual Perception and Enhancement for Reasoning Segmentation Empowering Segmentation Ability to Multi-modal Large Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:55.434020Z

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 cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:53:16.445858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:55.075286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff3bc4e2-dd50-422c-8516-ee7bd5ef4df9 · inbound

CausalSplat: Towards Comprehensive Hierarchical Reasoning in 3D Gaussian Splatting cites this paper.

CausalSplat: Towards Comprehensive Hierarchical Reasoning in 3D Gaussian Splatting Empowering Segmentation Ability to Multi-modal Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T05:15:36.159559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c591e8c2-5a55-490c-8d6f-6fcebfe8a31f · inbound

CausalSplat: Towards Comprehensive Hierarchical Reasoning in 3D Gaussian Splatting cites this paper.

CausalSplat: Towards Comprehensive Hierarchical Reasoning in 3D Gaussian Splatting Empowering Segmentation Ability to Multi-modal Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T14:18:39.735937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.