Paper Citation Record · LEDGER

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation

As of 5 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2602.08206.

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

pith.paper-citation-record.v1
2602.08206 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T13:52:30.318149Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact2
verified fuzzy11
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ffbed42-73ea-4f91-a83e-63ba11c70430 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation Learning transferable visual models from natural language supervision

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.973322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 08debb58-8e05-4aca-a3c8-eb0840b20f24 · outbound

This paper cites Cat- seg: Cost aggregation for open-vocabulary semantic segmentation.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation Cat- seg: Cost aggregation for open-vocabulary semantic segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.967213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ddf0d825-ae2b-486d-9552-d48eb78a4a98 · outbound

This paper cites Open-vocabulary high-resolution remote sensing image semantic segmentation.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation Open-vocabulary high-resolution remote sensing image semantic segmentation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.969362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f92af714-9616-40b7-8946-5b13bbac3b91 · outbound

This paper cites Towards open-vocabulary remote sensing image semantic segmentation.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation Towards open-vocabulary remote sensing image semantic segmentation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.971449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b937538a-38f1-43ce-ad70-91d563fd3d70 · outbound

This paper cites Exploring efficient open-vocabulary segmentation in the remote sensing.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation Exploring efficient open-vocabulary segmentation in the remote sensing

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:54:11.489429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2e49b632-ec13-4d7d-8bb5-5e486602f924 · outbound

This paper cites SegEarth-OV: Towards training-free open-vocabulary segmentation for remote sensing images.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation SegEarth-OV: Towards training-free open-vocabulary segmentation for remote sensing images

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.981436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e7248ce-cdae-4261-97d5-4c73de59f783 · outbound

This paper cites TPOV-Seg: Textually En- hanced Prompt Tuning of Vision-Language Models for Open-V ocabulary Remote Sensing Semantic Segmentation.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation TPOV-Seg: Textually En- hanced Prompt Tuning of Vision-Language Models for Open-V ocabulary Remote Sensing Semantic Segmentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.984139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 845fd102-c3fb-4cb0-ad1f-5f82d2975f4f · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation Chain-of-thought prompting elicits reasoning in large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.986713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aedf1dc3-da4c-4d86-827d-41dad0ace7e9 · outbound

This paper cites Large language models are zero-shot reasoners.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation Large language models are zero-shot reasoners

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.988571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a6a9cc51-8dbb-4ada-8089-31da12616b3e · outbound

This paper cites Multimodal chain-of-thought reasoning in language models.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation Multimodal chain-of-thought reasoning in language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.978887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dcdf63fa-1021-4160-af07-8b84c1401cd9 · outbound

This paper cites Dynamics and Resonance Fluorescence from a Superconducting Artificial Atom Doubly Driven by Quantized and Classical Fields.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation Dynamics and Resonance Fluorescence from a Superconducting Artificial Atom Doubly Driven by Quantized and Classical Fields

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:54:11.493262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 489338c5-43c9-43ff-a11a-65a2aca94447 · outbound

This paper cites Land-cover classification with high-resolution remote sensing images using transferable deep models.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation Land-cover classification with high-resolution remote sensing images using transferable deep models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.976380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cefe357b-162f-48db-ba41-200f9ef895b4 · outbound

This paper cites LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation.

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:11.973832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.