Paper Citation Record · LEDGER

HyperSeg: Towards Universal Visual Segmentation with Large Language Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2411.17606.

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

pith.paper-citation-record.v1
2411.17606 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:50:23.494720Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:47:30.621522Z

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 494fb9ba-fec2-4b55-8b91-96c449cbf13d · inbound

Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation cites this paper.

Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:23.494720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f349d3b9-ea69-4a87-b033-2ef70e69e65d · inbound

Counterfactual Segmentation Reasoning: Diagnosing and Mitigating Pixel-Grounding Hallucination cites this paper.

Counterfactual Segmentation Reasoning: Diagnosing and Mitigating Pixel-Grounding Hallucination HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:37:08.833321Z

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 84d67edf-e08a-4c8f-b5a0-174a639565b5 · inbound

SAM 3: Segment Anything with Concepts cites this paper.

SAM 3: Segment Anything with Concepts HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:25:11.438169Z

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 ddb0401f-a8ca-4659-a35b-e9af546d41db · inbound

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation cites this paper.

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:21:00.952958Z

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 9294ac09-71ac-4fd1-8bc4-14bbdc606b76 · inbound

LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation cites this paper.

LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 182

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:06.426505Z

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 1a622555-2aa3-45ba-ac4e-ff3369c5844f · inbound

APRVOS: 1st Place Winner of 5th PVUW MeViS-Audio Track cites this paper.

APRVOS: 1st Place Winner of 5th PVUW MeViS-Audio Track HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:29:21.542991Z

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 185ec505-d481-4d26-a2a1-4cf53173b175 · inbound

AgentRVOS for MeViS-Text Track of 5th PVUW Challenge: 3rd Method cites this paper.

AgentRVOS for MeViS-Text Track of 5th PVUW Challenge: 3rd Method HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:33:41.840971Z

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 bba4b529-0457-41d8-84ff-7f7bc8d4facf · inbound

X2SAM: Any Segmentation in Images and Videos cites this paper.

X2SAM: Any Segmentation in Images and Videos HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:01:05.436176Z

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 6b63fb57-4917-483e-8677-666c33f64a8b · inbound

RCoT-Seg: Reinforced Chain-of-Thought for Video Reasoning and Segmentation cites this paper.

RCoT-Seg: Reinforced Chain-of-Thought for Video Reasoning and Segmentation HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:59.869456Z

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 637cc630-ebdb-4ad6-ac84-f1c5a518d2ee · inbound

Vision Harnessing Agent for Open Ad-hoc Segmentation cites this paper.

Vision Harnessing Agent for Open Ad-hoc Segmentation HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.401176Z

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 a52b1daa-0dd5-435f-883c-9321a2f63e79 · inbound

FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation cites this paper.

FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.849992Z

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 c5e77838-4c22-4de6-8cd3-de35fce2da68 · inbound

Reason Twice: Segmentation via Candidate Discovery and Comparative Reasoning cites this paper.

Reason Twice: Segmentation via Candidate Discovery and Comparative Reasoning HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:47:30.623241Z

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 6c784094-4825-4dce-b46e-db3527b4892c · inbound

InstanceControl: Controllable Complex Image Generation without Instance Labeling cites this paper.

InstanceControl: Controllable Complex Image Generation without Instance Labeling HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:15:45.121556Z

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 c3d53bb0-dade-4991-a183-a55ec6aa6070 · inbound

PixelEyes: Decoupling Perception and Reasoning for Pinpoint Visual Evidence Seeking cites this paper.

PixelEyes: Decoupling Perception and Reasoning for Pinpoint Visual Evidence Seeking HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:57:19.159176Z

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.