Paper Citation Record · LEDGER

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation

As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.16318.

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

pith.paper-citation-record.v1
2506.16318 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:24.478916Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy15
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be92c522-ed8f-4f49-b3ae-ed91b6a2c8ba · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (June 2020).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (June 2020)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:27.090987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 44333dca-bd67-4e91-aeca-2850a234a7cd · outbound

This paper cites In: 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation In: 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:26.935668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1d4b1f67-0ff1-4fdf-a123-ef4150d2e109 · outbound

This paper cites an unresolved cited work.

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:48:26.768622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9707c48-a1fc-4f3d-aa34-3715b5aed0cc · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing162, 94–114 (2020).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation ISPRS Journal of Photogrammetry and Remote Sensing162, 94–114 (2020)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:22.934099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90169088-6ccb-482e-8713-711370156a8b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.040882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c7e7371-008d-45af-b5f7-c5d36a029118 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 40(5), 1054–1064 (2002).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation IEEE Transactions on Geoscience and Remote Sensing 40(5), 1054–1064 (2002)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:26.604640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2bf3a1fb-5687-4c36-953a-7c97b5bf97a2 · outbound

This paper cites International journal of remote sensing38(7), 1809–1819 (2017).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation International journal of remote sensing38(7), 1809–1819 (2017)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:26.419107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 39f27c86-b979-4783-a9e6-8668c63cd080 · outbound

This paper cites IEEE access7, 158223–158236 (2019) 12 C.

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation IEEE access7, 158223–158236 (2019) 12 C

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:26.239117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb5ce26c-852b-4863-9dcc-4129ab6478b7 · outbound

This paper cites In: IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium.

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation In: IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:26.068900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71600a69-e8c5-4fab-92df-019ea4dee56d · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation In: Proceedings of the IEEE international conference on computer vision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.531578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d24ea3c7-85f2-410c-a459-734521c746bd · outbound

This paper cites IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing12(7), 2217– 2226 (2019).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing12(7), 2217– 2226 (2019)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.625050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b1b3027-a915-4df8-85ea-fcc8a5ce50d8 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.714168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6558a65-27bb-44cf-9edc-270d561b3c66 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.790777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8347c8a-ac18-4191-a88b-c6a22a18707c · outbound

This paper cites Pattern recognition37(8), 1619–1628 (2004).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation Pattern recognition37(8), 1619–1628 (2004)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.900450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c47e5c4a-f309-40f9-b3a3-386ef7bf4254 · outbound

This paper cites International Journal of Applied Earth Observation and Geoinformation 124, 103540 (2023).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation International Journal of Applied Earth Observation and Geoinformation 124, 103540 (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.744599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cd02c245-894e-4efc-9d4c-ad4d365c6ae3 · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters (2023).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation IEEE Geoscience and Remote Sensing Letters (2023)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.593174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3333fd74-e4c2-44b1-aa93-69418e70a5dc · outbound

This paper cites Scientific Data10(1), 612 (2023).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation Scientific Data10(1), 612 (2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.431202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b19586c6-d6ec-4b8b-8de7-dba78c95b68b · outbound

This paper cites Remote Sensing 16(9), 1505 (2024).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation Remote Sensing 16(9), 1505 (2024)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.258615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8b46a9dd-50c2-475b-8296-bd586ad93c19 · outbound

This paper cites Remote sensing of environment 245, 111741 (2020).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation Remote sensing of environment 245, 111741 (2020)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.124899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 07a41591-06bc-4d4f-b390-174a9741dae4 · outbound

This paper cites Remote sensing13(11), 2197 (2021).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation Remote sensing13(11), 2197 (2021)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.951086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a167f19-0bab-433d-b19d-00e95d7cf44a · outbound

This paper cites Advances in Neural Information Processing Systems36 (2024).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation Advances in Neural Information Processing Systems36 (2024)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.839503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e08f683-eb1a-4e79-89ba-7915a4b7d6a7 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:24.401174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c34aea-db0a-47cc-8db7-0357a09811d8 · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters (2024).

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation IEEE Geoscience and Remote Sensing Letters (2024)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.676731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.