Paper Citation Record · LEDGER

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo

As of 8 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2511.05949.

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

pith.paper-citation-record.v1
2511.05949 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:28:25.997194Z

measured 10 of 10 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 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

10 of 10 outbound references displayed

verified exact0
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20376be0-6bc1-44db-bc25-a02935701331 · outbound

This paper cites OmniGlue: Generalizable feature match- ing with foundation model guidance.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo OmniGlue: Generalizable feature match- ing with foundation model guidance

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.414208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c28c0695-06a9-4ee8-9972-3b5685c92edf · outbound

This paper cites Berg, Wan-Y en Lo, Piotr Dollár, and Ross Girshick.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo Berg, Wan-Y en Lo, Piotr Dollár, and Ross Girshick

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.485034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab6b929-cf60-4da6-a354-9d77e868161e · outbound

This paper cites Matching anything by segmenting anything.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo Matching anything by segmenting anything

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.544313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d059ce86-98c2-40b4-8d61-6df90414a658 · outbound

This paper cites LightGlue: Local feature matching at light speed.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo LightGlue: Local feature matching at light speed

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.589020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8194230c-0d99-4778-8764-60a209f8bd8f · outbound

This paper cites Isprs test project on urban classiﬁca- tion and 3D building reconstruction: Evaluation of building reconstruction results.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo Isprs test project on urban classiﬁca- tion and 3D building reconstruction: Evaluation of building reconstruction results

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.647858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba4802f5-ab42-4c47-b62a-d7ca68b32d48 · outbound

This paper cites GIM: Learning generalizable image matcher from internet videos,.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo GIM: Learning generalizable image matcher from internet videos,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.697201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdfb76bd-e27b-4994-89ac-b32e7849ed99 · outbound

This paper cites LoFTR: Detector-free local feature match- ing with transformers.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo LoFTR: Detector-free local feature match- ing with transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.757902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ea5bad5-b353-4a73-967f-3c010aaaeb95 · outbound

This paper cites EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.846478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99bb388a-d5d5-4bae-80cd-f3f38a1e58aa · outbound

This paper cites DMESA: Densely matching everything by segmenting anything, 2024.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo DMESA: Densely matching everything by segmenting anything, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.936023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259a5a63-419f-45ac-b444-34ffaf43d4c9 · outbound

This paper cites MESA: Matching everything by segmenting anything.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo MESA: Matching everything by segmenting anything

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.997194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.