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Paper Citation Record · LEDGER

Text4Seg: Reimagining Image Segmentation as Text Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:50.127833Z

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 5430b6d1-ba48-4a40-8fdb-096520526187 · inbound

LlamaSeg: Image Segmentation via Autoregressive Mask Generation cites this paper.

LlamaSeg: Image Segmentation via Autoregressive Mask Generation Text4Seg: Reimagining Image Segmentation as Text Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:50.127833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:50.127833Z digest=sha256:bfe6c894cd08a3036fa8eb0a6784e9a6109325cd5ec51ebda20cf0a150eb34de

Observation b8f8536e-960c-4ad1-9a70-bf0e8411cab4 · inbound

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning cites this paper.

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning Text4Seg: Reimagining Image Segmentation as Text Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:00.710431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:21:00.710431Z digest=sha256:a4b4db87e0981b23c990b5727ad0e9937cf4afe2eb23a7c2a694b9488bff2573

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.

source=pdf_text observed=2026-08-06T19:25:02.692538Z digest=sha256:b93ed0279ddfed26b2266c5eeff048fb1ec0130a4392b1a41322fb9b4f3acf99

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:35:37.095627Z digest=sha256:adffb1f330f340bf5d5322c806947af10d9a149bf96f79ceec4f61c4c38c9dc7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T02:35:57.843351Z digest=sha256:edf3b285bcc6d4b7cd5332c1de8b8bb6609b0c7e2a27a82fa2a54435485fa7a6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T13:28:01.889147Z digest=sha256:3460f6db29033caf4ca2c54278027b9281ec14a8836c63c9866b546c97588f6b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T15:48:01.833952Z digest=sha256:424f890c6e391ecfc57c3f4cf88d5281a049183e0d06cd4438725a551ce41f93

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T01:50:54.242508Z digest=sha256:0bc7f0ea2e42eb518ca7da1a5d069402f0186fdcf9c25a8463370d2fb18c865d