Pith. sign in

Paper Citation Record · LEDGER

Image Segmentation Using Text and Image Prompts

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:08.044482Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T12:56:05.671655Z digest=sha256:52fb71d79c5865f06ef12de0f60dba322139549776afd193bbd6e2bfc6d63d04

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:fe43a3cdc5e871b9dd6e0a73cc999b5176f6c14556b353f4249d965f457dca30

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=sha256:55afc466e5c66396780a84497ca2133ed6547b33d9127317ebf435b15fe4946b

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=sha256:6900d64ac6160e12d5082039c78ba5aa482e1b13441a6a83ce5a38731743c705

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=sha256:9762a3bd81f3b6983b771b5a2b1bf65b182a39a74a5fbf134129e42183c1523d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T19:01:14.023587Z digest=sha256:6927f2af33b69302b836a98722299f2b91626102d9f8f5a4a9457043ce59def4