Paper Citation Record · LEDGER

Text4Seg: Reimagining Image Segmentation as Text Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.09855.

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

pith.paper-citation-record.v1
2410.09855 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:25:02.692538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.165869Z

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 9912157e-0ba8-4078-98f6-3d9d0e1c2f97 · inbound

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance cites this paper.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Text4Seg: Reimagining Image Segmentation as Text Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:02.692538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6b3da4b-95c8-415f-9e8d-ece028be570c · inbound

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

LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation Text4Seg: Reimagining Image Segmentation as Text Generation

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:04.808345Z

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 e91a8f0e-182a-4ca8-96db-8142efc35a96 · 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 Text4Seg: Reimagining Image Segmentation as Text Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:10:54.030597Z

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 a0dfc702-ecdb-4080-a167-265c5f2bd69c · inbound

IQA-Spider: Unifying Multi-Granularity Image Quality Assessment with Reasoning, Grounding and Referring cites this paper.

IQA-Spider: Unifying Multi-Granularity Image Quality Assessment with Reasoning, Grounding and Referring Text4Seg: Reimagining Image Segmentation as Text Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:34:40.555718Z

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 0fa3c422-dfea-4233-a90f-14f66c94484a · inbound

Self-Improving Small Object Grounding in LVLMs cites this paper.

Self-Improving Small Object Grounding in LVLMs Text4Seg: Reimagining Image Segmentation as Text Generation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.280934Z

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 aa35b551-a8e4-4c88-9a6b-4f2e302f5169 · 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 Text4Seg: Reimagining Image Segmentation as Text Generation

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:55.168191Z

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.