Paper Citation Record · LEDGER

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery

As of 23 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2606.17564.

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

pith.paper-citation-record.v1
2606.17564 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T01:27:06.322901Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

22 of 22 outbound references displayed

verified exact4
verified fuzzy0
unresolved17
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malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed7bb45f-9c45-4df4-ac7d-0de3ed1f4337 · outbound

This paper cites A general deep learning based framework for 3d reconstruction from multi-view stereo satel- lite images,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery A general deep learning based framework for 3d reconstruction from multi-view stereo satel- lite images,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 790a21c1-4123-41e9-8aa0-45f35ce3b659 · outbound

This paper cites Mvsr3d: An end-to-end framework for semantic 3-d reconstruction using multiview satellite imagery,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Mvsr3d: An end-to-end framework for semantic 3-d reconstruction using multiview satellite imagery,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d63c271-a062-4f76-937d-fa32e2ac9ae5 · outbound

This paper cites DINOv2: Learning robust visual features without supervision,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery DINOv2: Learning robust visual features without supervision,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

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Unavailable: canonical work link unavailable.

Observation 2ae28bbd-0d04-456f-a0fd-e474b6e52ca8 · outbound

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

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Learning transferable visual models from natural language supervision,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2b208c5-b2fb-4860-82c7-8b5aea9999a0 · outbound

This paper cites Segment anything,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Segment anything,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b35acf-2397-49f3-9fd2-9337afe02379 · outbound

This paper cites Segre, O.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Segre, O

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:18:56.980712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bcaf702c-a1fe-41cb-99cd-5275bc9ec4dc · outbound

This paper cites Improving 2D Feature Representations by 3D-Aware Fine- Tuning,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Improving 2D Feature Representations by 3D-Aware Fine- Tuning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7d4c6f9-10a4-4382-9338-3a371a26a213 · outbound

This paper cites Nerf: representing scenes as neural radiance fields for view synthesis,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Nerf: representing scenes as neural radiance fields for view synthesis,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce6c797d-09ad-455e-bad6-bd7271ccf68a · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery 3d gaussian splatting for real-time radiance field rendering,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99bf1e7d-5f4b-43cf-bc1d-b4d5dc6b8de4 · outbound

This paper cites Plenoxels: Radiance Fields without Neural Networks,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Plenoxels: Radiance Fields without Neural Networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dbea383-a112-4511-a196-456f1ee93bfe · outbound

This paper cites DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lift- ing,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lift- ing,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb2b9e87-939c-4e29-9abf-f974e10ded76 · outbound

This paper cites Lift3d: Zero-shot lifting of any 2d vision model to 3d,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Lift3d: Zero-shot lifting of any 2d vision model to 3d,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4faaca4-98de-4f34-9b01-a54d7481410f · outbound

This paper cites An evaluation of dust3r/mast3r/vggt 3d reconstruction on photogrammetric aerial blocks,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery An evaluation of dust3r/mast3r/vggt 3d reconstruction on photogrammetric aerial blocks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e669ea3-67be-4168-a668-cdefb3d3f5a7 · outbound

This paper cites Towards efficient benchmarking of foundation models in remote sens- ing: A capabilities encoding approach,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Towards efficient benchmarking of foundation models in remote sens- ing: A capabilities encoding approach,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d296967-f0ab-4c27-9a35-7debca988316 · outbound

This paper cites Choice: Benchmarking the remote sensing capabilities of large vision-language models.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Choice: Benchmarking the remote sensing capabilities of large vision-language models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:56.997052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d67be5c8-9833-4577-9c00-68be75692a61 · outbound

This paper cites Comparative analysis of advanced feature matching algorithms in challeng- ing high spatial resolution optical satellite stereo scenarios,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Comparative analysis of advanced feature matching algorithms in challeng- ing high spatial resolution optical satellite stereo scenarios,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e15bbb-346f-4ef9-b0cb-b62c52e9357b · outbound

This paper cites Hsross: A benchmark for feature matching algorithms of high-resolution optical satel- lites in challenging scenarios,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Hsross: A benchmark for feature matching algorithms of high-resolution optical satel- lites in challenging scenarios,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bb4562b-2fe3-48c9-8888-344bf387ad8b · outbound

This paper cites Deep learning in remote sensing image fusion: Methods, protocols, data, and future perspectives,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Deep learning in remote sensing image fusion: Methods, protocols, data, and future perspectives,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5af3ea7c-9f74-4a55-9544-5a9a8f6a9db1 · outbound

This paper cites Deep learning based domain adaptation methods in remote sensing: A comprehensive survey,.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Deep learning based domain adaptation methods in remote sensing: A comprehensive survey,

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:56.974451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f5f6de7-e3a6-4851-af2e-dab7b65e16b0 · outbound

This paper cites Geocrossbench: Cross-band generalization for remote sensing.arXiv preprint arXiv:2511.02831, 2025.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Geocrossbench: Cross-band generalization for remote sensing.arXiv preprint arXiv:2511.02831, 2025

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:56.991377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b11c4fe8-32f4-4c75-8753-48ed5159c8ba · outbound

This paper cites Data fusion contest 2019 (dfc2019),.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery Data fusion contest 2019 (dfc2019),

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T01:27:06.322901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99202991-ca28-46ad-bffc-615b6c37fc5d · outbound

This paper cites DINOv3.

Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery DINOv3

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-03T20:18:56.985382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.