Paper Citation Record · LEDGER

Open-Vocabulary Universal Image Segmentation with MaskCLIP

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2208.08984.

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

pith.paper-citation-record.v1
2208.08984 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:55:24.395730Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:57:47.583278Z

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 d7da50ee-bdf6-4c84-9594-22840aa4b6c6 · inbound

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V cites this paper.

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T14:01:49.992681Z

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 5c3e7584-fa90-43a4-8185-0a4fe387b6ed · inbound

CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation cites this paper.

CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T15:53:30.129614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56637a50-e57d-4190-a1e4-bfaeeff70d32 · inbound

Effective SAM Combination for Open-Vocabulary Semantic Segmentation cites this paper.

Effective SAM Combination for Open-Vocabulary Semantic Segmentation Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T15:03:32.136347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 168f85c9-a9d2-41e6-a67e-a81b8402096a · inbound

ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives cites this paper.

ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T10:37:59.253127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7725c915-a504-409a-893a-47da59045973 · inbound

LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier cites this paper.

LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:54:40.172639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c478850-7782-4a0c-b1d1-dc5066260f8b · inbound

Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation cites this paper.

Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:34.697077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 308cec2c-7a5b-4776-819d-1211a6cc3d9b · inbound

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation cites this paper.

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T13:35:59.664935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a74307a-4178-49d1-a084-47de8faf3be8 · inbound

DPSeg: Dual-Prompt Cost Volume Learning for Open-Vocabulary Semantic Segmentation cites this paper.

DPSeg: Dual-Prompt Cost Volume Learning for Open-Vocabulary Semantic Segmentation Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:55:24.395730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83d48697-11f7-4868-a57c-3cf4d82be658 · inbound

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning cites this paper.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:56.581313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7e8b84c-9cff-4497-b42e-7aef4163ff7d · inbound

What You Perceive Is What You Conceive: A Cognition-Inspired Framework for Open Vocabulary Image Segmentation cites this paper.

What You Perceive Is What You Conceive: A Cognition-Inspired Framework for Open Vocabulary Image Segmentation Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:31.837565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35a756b1-9635-468d-9d7b-f68ac69fd194 · inbound

SAM 3: Segment Anything with Concepts cites this paper.

SAM 3: Segment Anything with Concepts Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:25:11.372628Z

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 625b6b34-039f-4034-9573-c0f9046dc311 · inbound

Low-Frequency Stochastic Gravitational-Wave Background in Gaia DR3 catalog cites this paper.

Low-Frequency Stochastic Gravitational-Wave Background in Gaia DR3 catalog Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T19:56:11.865786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a880945a-b7e2-4025-bed3-2a8da39c015c · inbound

OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance cites this paper.

OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:40:58.502341Z

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 3a711cb3-eef7-4e1c-b4cd-cc423bf3c295 · inbound

PrAda: Few-Shot Visual Adaptation for Text-Prompted Segmentation cites this paper.

PrAda: Few-Shot Visual Adaptation for Text-Prompted Segmentation Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:48:05.929326Z

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 e37f32d6-6377-4bc8-885d-19ed37c1634d · inbound

An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation cites this paper.

An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:46:14.181598Z

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 c593e622-809a-43fe-91e3-f8c9cd080569 · inbound

LASA: A Weak Supervision Method for Open-Vocabulary Scene Sketch Semantic Segmentation cites this paper.

LASA: A Weak Supervision Method for Open-Vocabulary Scene Sketch Semantic Segmentation Open-Vocabulary Universal Image Segmentation with MaskCLIP

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.584754Z

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.