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Paper Citation Record · LEDGER

Image Segmentation Using Text and Image Prompts

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2112.10003.

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

pith.paper-citation-record.v1
2112.10003 v2

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 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:35:16.901921Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:17:26.328612Z

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 0a309c25-bdec-4be5-9bbc-ab37e964011a · inbound

Motion by Queries: Identity-Motion Trade-offs in Text-to-Video Generation cites this paper.

Motion by Queries: Identity-Motion Trade-offs in Text-to-Video Generation Image Segmentation Using Text and Image Prompts

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:16.901921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:16.901921Z digest=sha256:47d1a838629449326d4dacc321d5b47f2a00924b305c2b70a942514be5bf2bed

Observation 49555916-e648-4d1a-a7b3-2550ab5d9f4c · inbound

RoofNet: A Global Multimodal Dataset for Roof Material Identification from Earth Observation cites this paper.

RoofNet: A Global Multimodal Dataset for Roof Material Identification from Earth Observation Image Segmentation Using Text and Image Prompts

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:57:17.759833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T12:56:05.671655Z digest=sha256:eef7965a84f5010d26e6b4e2b6c166110d4afc55b09e1c106df6d04320358d05

Observation 32222646-e840-4537-9193-b121a17f2ddc · inbound

RoofNet: A Global Multimodal Dataset for Roof Material Identification from Earth Observation cites this paper.

RoofNet: A Global Multimodal Dataset for Roof Material Identification from Earth Observation Image Segmentation Using Text and Image Prompts

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:08.044482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:08.044482Z digest=sha256:872d374cf606d3570c03bf062c97b3936b029ff0930e80d0055052e542916dfd

Observation 9392f639-09cf-4a10-bd04-f01252889e86 · inbound

Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data cites this paper.

Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data Image Segmentation Using Text and Image Prompts

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:01.323199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:01.323199Z digest=sha256:630fbacf7374d2c91322f639df49ca5c7cdc224ed2ae4c906a85e9dac96c9191

Observation 5b0608f6-872e-43f4-9b2f-1bc96e56f919 · inbound

LEARN: A Story-Driven Layout-to-Image Generation Framework for STEM Instruction cites this paper.

LEARN: A Story-Driven Layout-to-Image Generation Framework for STEM Instruction Image Segmentation Using Text and Image Prompts

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T20:10:57.955343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:10:57.955343Z digest=sha256:578c497e1b1be4a0789f7c20348fd59ffb4ca768c20a4ead4c42c11e8707dab4

Observation 2fdcdac2-46b1-46fc-9d6a-d3cee4b3c35f · inbound

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning cites this paper.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Image Segmentation Using Text and Image Prompts

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T22:44:40.316861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:44:40.316861Z digest=sha256:d3c3e70fd49fe0ab8478c5530dd45a832c3f3179df0c4e06f281e83549e9c22e

Observation 3dd10817-f4f3-48ef-95ce-298dce9cba81 · inbound

CheXanatomy: Anatomy-Aware Vision-Language Modeling for Chest Radiographs cites this paper.

CheXanatomy: Anatomy-Aware Vision-Language Modeling for Chest Radiographs Image Segmentation Using Text and Image Prompts

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:17:26.330305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T19:01:14.023587Z digest=sha256:924fb20263634172ac755b68f3a78847bdc22f1c594515e4d450f216478dbc31