Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.13881.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:13.729538Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:09:55.236424Z
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 d3d0aa40-7f13-4279-b0aa-637e14b53d26 · inbound
Reasoning Segmentation for Images and Videos: A Survey cites this paper.
Reasoning Segmentation for Images and Videos: A Survey MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:13.729538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 388063e6-861c-47b8-b380-3469c4290231 · inbound
Affogato: Open-Vocabulary Affordance Grounding with Automated Data Generation at Scale cites this paper.
Affogato: Open-Vocabulary Affordance Grounding with Automated Data Generation at Scale MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:05:19.692369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63fa77bf-0abc-490d-96ab-1cf1ac32b99b · inbound
HRSeg: High-Resolution Visual Perception and Enhancement for Reasoning Segmentation cites this paper.
HRSeg: High-Resolution Visual Perception and Enhancement for Reasoning Segmentation MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:43:50.099882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 451c6385-72f3-4e0b-86b0-fdc3ab35a67e · inbound
MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images cites this paper.
MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:08:34.423748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ec6e06c-2daf-4778-b32f-34103b466965 · inbound
Qwen3-VL-Seg: Unlocking Open-World Referring Segmentation with Vision-Language Grounding cites this paper.
Qwen3-VL-Seg: Unlocking Open-World Referring Segmentation with Vision-Language Grounding MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:10:54.043620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cd3fd53f-9b5d-4722-986a-af642c055b7b · inbound
Vision Harnessing Agent for Open Ad-hoc Segmentation cites this paper.
Vision Harnessing Agent for Open Ad-hoc Segmentation MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T05:53:04.533186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b73f5a8e-05a0-436f-9818-b999128f4e9b · 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 MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:09:55.238999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.