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Paper Citation Record · LEDGER

MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation

As of 8 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.

pith.paper-citation-record.v1
2503.13881 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:13.729538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.236424Z

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.

source=pdf_text observed=2026-08-07T14:27:13.729538Z digest=sha256:6ed16ef44aecf414552e9540dcdcb192ef258fe39f2226adcc91d2321ba497e5

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.

source=pdf_text observed=2026-08-07T01:05:19.692369Z digest=sha256:9cce10d91529a632469e77c5252ecefa37efce4a4014b3cd4d9e825f8e70977d

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.

source=pdf_text observed=2026-08-06T16:43:50.099882Z digest=sha256:7add66b613c70d14f01d606ac197cd400e83e96d5e1f72d396f8073299d7b5db

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.

source=pdf_text observed=2026-08-03T22:08:34.423748Z digest=sha256:77cc59eb1fb8286d462720096ea1939e4c7bd81b7fa2cdbf037db80906a6d64b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T02:35:57.843351Z digest=sha256:fc8b206a82099363e8984264573a195a2134096c252a44934c4010c19ed29f3f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T05:52:40.429412Z digest=sha256:6143c5910b0f03d5ae542329d0ae0ded958aa3ffd53ecfdd839208915f99508c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T01:50:54.242508Z digest=sha256:363a2ea4c8df8760e987f1e8f08f54e11bd8824fab196be96896cce8a97c152f