Paper Citation Record · LEDGER

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching

As of 13 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2507.10318.

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

pith.paper-citation-record.v1
2507.10318 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:39:29.580035Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:24:49.968980Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

63 of 63 outbound references displayed

verified exact2
verified fuzzy48
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bc141d3-7675-4a91-93f2-d87a7f3465e5 · outbound

This paper cites Burst: A benchmark for unifying object recognition, segmentation and tracking in video.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Burst: A benchmark for unifying object recognition, segmentation and tracking in video

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:37.856565Z

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Observation 756c8d63-ff4b-467d-9dd6-15e914fccb81 · outbound

This paper cites Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:37.846283Z

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Observation 24de8596-906f-4ce2-bd45-d38b533b1ad8 · outbound

This paper cites an unresolved cited work.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:39:37.778915Z

Source-reported events for the cited work

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Observation a2ca3393-b810-4c80-97cd-4e163f48e6bc · outbound

This paper cites Surf: Speeded up robust features.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Surf: Speeded up robust features

Reference 4

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Source-reported events for the cited work

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Observation 904d3fe5-893a-4e2d-bcfd-ce89a4d86e40 · outbound

This paper cites Speeded-up robust features (surf).

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Speeded-up robust features (surf)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:37.567856Z

Source-reported events for the cited work

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Observation 84983732-8d76-4fd7-a9e9-a9d50bf1c739 · outbound

This paper cites VOLoc: Visual Place Recognition by Querying Compressed Lidar Map.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching VOLoc: Visual Place Recognition by Querying Compressed Lidar Map

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:39:29.984495Z

Source-reported events for the cited work

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Observation dc0dafdf-0a80-4042-9b63-3a67dac07e34 · outbound

This paper cites Prism: Pro- gressive dependency maximization for scale-invariant image matching.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Prism: Pro- gressive dependency maximization for scale-invariant image matching

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:37.392675Z

Source-reported events for the cited work

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Observation d33e7e9d-8a53-48c3-ab78-6d6a09fea765 · outbound

This paper cites Improving transformer-based image matching by cascaded capturing spatially informative keypoints.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Improving transformer-based image matching by cascaded capturing spatially informative keypoints

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:37.154073Z

Source-reported events for the cited work

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Observation 35df9448-77ba-495d-8ec8-2a9c4003d9dc · outbound

This paper cites Aspanformer: Detector-free image matching with adaptive span transformer.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Aspanformer: Detector-free image matching with adaptive span transformer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:36.959512Z

Source-reported events for the cited work

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Observation e43532a9-5957-4d6b-b6bf-ca6b5f0704d0 · outbound

This paper cites Ecomatcher: Efficient clustering oriented matcher for detector-free image matching.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Ecomatcher: Efficient clustering oriented matcher for detector-free image matching

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:36.754168Z

Source-reported events for the cited work

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Observation a9318b76-92f6-4235-9996-27774f6251cc · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:36.560632Z

Source-reported events for the cited work

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Observation 070a27cd-51d9-4b48-b33c-3588af7b8a5c · outbound

This paper cites Superpoint: Self-supervised interest point detection and description.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Superpoint: Self-supervised interest point detection and description

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:36.378666Z

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Observation 1c8f08ac-794d-40a3-8521-6addefadc609 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Diffusion models beat gans on image synthesis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:36.200418Z

Source-reported events for the cited work

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Observation da261533-5483-4852-8b58-cb367799727c · outbound

This paper cites Dkm: Dense kernelized feature matching for geometry estimation.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Dkm: Dense kernelized feature matching for geometry estimation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:36.103809Z

Source-reported events for the cited work

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Observation a12f004c-20c9-4518-b327-c2b995336d2b · outbound

This paper cites Roma: Robust dense fea- ture matching.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Roma: Robust dense fea- ture matching

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:35.972971Z

Source-reported events for the cited work

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Observation bbe42dae-55cc-4b36-9f7c-861494824c09 · outbound

This paper cites Top- icfm: Robust and interpretable topic-assisted feature match- ing.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Top- icfm: Robust and interpretable topic-assisted feature match- ing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:35.824253Z

Source-reported events for the cited work

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Observation 4548f61f-6638-4d1e-b0b5-b6cc1fe6d4f7 · outbound

This paper cites Deep residual learning for image recognition.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Deep residual learning for image recognition

Reference 17

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Source-reported events for the cited work

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Observation d3577e46-a4a3-4ed2-9e62-011b3aa12c3c · outbound

This paper cites Masked autoencoders are scalable vision learners.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Masked autoencoders are scalable vision learners

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:35.675513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e8c594b2-c443-471c-a17e-5569b80f6f26 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Denoising dif- fusion probabilistic models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:35.517902Z

Source-reported events for the cited work

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Observation 4c876dab-15d7-424d-a0be-6d4397234437 · outbound

This paper cites Dynamicid: Zero-shot multi-id image personalization with flexible facial editabil- ity.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Dynamicid: Zero-shot multi-id image personalization with flexible facial editabil- ity

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:35.300228Z

Source-reported events for the cited work

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Observation c7ec0d92-1951-4c36-a0cf-b39b8651e222 · outbound

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

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Omniglue: Generalizable feature match- ing with foundation model guidance

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:35.162338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55c6ccaf-9893-4b15-a619-1b6ce19ca8e3 · outbound

This paper cites Segment any- thing.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Segment any- thing

Reference 22

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Source-reported events for the cited work

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Observation a95c3a97-891d-4892-8be2-85a0a65f7c1a · outbound

This paper cites Sd4match: Learning to prompt stable diffu- sion model for semantic matching.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Sd4match: Learning to prompt stable diffu- sion model for semantic matching

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:35.017486Z

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Observation 03a73a54-fa32-40d8-9682-852623082ad7 · outbound

This paper cites Megadepth: Learning single- view depth prediction from internet photos.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Megadepth: Learning single- view depth prediction from internet photos

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:34.858580Z

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Observation b140ce15-c14e-40e1-8239-8b8992a360dc · outbound

This paper cites Recrecnet: Rectangling rectified wide-angle images by thin-plate spline model and dof-based curriculum learn- ing.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Recrecnet: Rectangling rectified wide-angle images by thin-plate spline model and dof-based curriculum learn- ing

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:34.697273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cbb360a1-5166-40d3-a3a8-e95e79844a2e · outbound

This paper cites Feature pyra- mid networks for object detection.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Feature pyra- mid networks for object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:34.562423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0e3b00dc-2f28-4bae-a4df-b1f79a9861ef · outbound

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

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Lightglue: Local feature matching at light speed

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:34.421039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a27d2dc7-f8b6-49cf-8f23-14d8b8dfff31 · outbound

This paper cites Semantic- aware representation learning for homography estimation.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Semantic- aware representation learning for homography estimation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:34.293249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 67a59f89-9e45-488f-9897-935d63b327c4 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Swin transformer: Hierarchical vision transformer using shifted windows

Reference 29

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Source-reported events for the cited work

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Observation 94568ca6-1309-498e-97d4-f7b6be224f49 · outbound

This paper cites Distinctive image features from scale- invariant keypoints.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Distinctive image features from scale- invariant keypoints

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:34.172494Z

Source-reported events for the cited work

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Observation ff7ace8f-0a0d-4e7d-925c-e4841cde794e · outbound

This paper cites Raising the ceiling: Conflict- free local feature matching with dynamic view switching.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Raising the ceiling: Conflict- free local feature matching with dynamic view switching

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:34.031882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0a3cc0d3-66f8-4460-b93e-cca54871611e · outbound

This paper cites Diffusion Model for Dense Matching.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Diffusion Model for Dense Matching

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:27.364440Z

Source-reported events for the cited work

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Observation 366924d7-07d4-4d99-b556-10c53e212838 · outbound

This paper cites Unsupervised deep image stitching: Reconstructing stitched features to images.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Unsupervised deep image stitching: Reconstructing stitched features to images

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:33.884826Z

Source-reported events for the cited work

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Observation 6e3d36ea-47ca-45b8-ab3f-75e0e8c32329 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching DINOv2: Learning Robust Visual Features without Supervision

Reference 34

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Source-reported events for the cited work

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Observation fd2881af-efa5-4df9-9ad6-c19daaa7db92 · outbound

This paper cites Enhancing deformable local features by jointly learning to detect and describe keypoints.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Enhancing deformable local features by jointly learning to detect and describe keypoints

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:33.747990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5a3f4967-3b91-4f78-9039-865fce183440 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Learning transferable visual models from natural language supervi- sion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:33.625802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70bc9d2e-73e1-4040-8a00-03d86913dc32 · outbound

This paper cites R2d2: Reliable and repeatable detec- tor and descriptor.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching R2d2: Reliable and repeatable detec- tor and descriptor

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:33.457903Z

Source-reported events for the cited work

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Observation b21463f9-122c-4b08-bc1a-cb102224dff0 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching High-resolution image synthesis with latent diffusion models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:33.226013Z

Source-reported events for the cited work

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Observation 2348e819-b850-451f-aec9-b22fe4533446 · outbound

This paper cites Orb: An efficient alternative to sift or surf.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Orb: An efficient alternative to sift or surf

Reference 39

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Source-reported events for the cited work

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Observation 4a3840b2-ea6d-49a1-a160-26f54d845d5e · outbound

This paper cites Where’s waldo: Diffusion features for person- alized segmentation and retrieval.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Where’s waldo: Diffusion features for person- alized segmentation and retrieval

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:32.994498Z

Source-reported events for the cited work

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Observation d522f11c-1717-4367-bed7-b0e5294addd8 · outbound

This paper cites From coarse to fine: Robust hierarchical localization at large scale.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching From coarse to fine: Robust hierarchical localization at large scale

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:32.663381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 00c9f4eb-a961-45e8-ae7f-d6025a30d812 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Superglue: Learning feature matching with graph neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:32.425716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cba10385-a76f-4133-b112-10efd16b501d · outbound

This paper cites Back to the feature: Learning robust camera localization from pixels to pose.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Back to the feature: Learning robust camera localization from pixels to pose

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:32.291176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2d36e1a3-6cb1-4a23-96c6-3b81badb7119 · outbound

This paper cites Benchmarking 6dof outdoor visual localization in changing conditions.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Benchmarking 6dof outdoor visual localization in changing conditions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:32.147368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fdf1efb3-359f-48af-8a60-1ab49c542121 · outbound

This paper cites Structure- from-motion revisited.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Structure- from-motion revisited

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:32.002162Z

Source-reported events for the cited work

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Observation df2232f0-de18-4a57-9fc8-bda30024a113 · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Pixelwise view selection for unstructured multi-view stereo

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:28.275287Z

Source-reported events for the cited work

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Observation 427d96aa-3386-4763-91d0-d57e5adc142b · outbound

This paper cites Laion-5b: An open large-scale dataset for training 10 next generation image-text models.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Laion-5b: An open large-scale dataset for training 10 next generation image-text models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:31.869337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 74b1138f-c65a-4a4d-bf43-563ca1732b1a · outbound

This paper cites Denoising Diffusion Implicit Models.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Denoising Diffusion Implicit Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:28.447431Z

Source-reported events for the cited work

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Observation 0767a589-9a9d-4861-8944-d19cbe56baec · outbound

This paper cites Loftr: Detector-free local feature matching with transformers.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Loftr: Detector-free local feature matching with transformers

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:31.711218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc90f8ae-589d-4c75-8125-0eea407c6c5b · outbound

This paper cites Inloc: Indoor visual localization with dense matching and view synthesis.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Inloc: Indoor visual localization with dense matching and view synthesis

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:31.577976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f85b2797-b92d-41d2-a5ad-ddb97e4c6582 · outbound

This paper cites Emergent correspondence from image diffusion.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Emergent correspondence from image diffusion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:31.429567Z

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Observation 0d1b7fd6-57a2-4cb9-b2ef-591173c50acf · outbound

This paper cites QuadTree Attention for Vision Transformers.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching QuadTree Attention for Vision Transformers

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:28.721662Z

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Observation 61b4e027-6585-49a9-9d8a-0b944f0982ea · outbound

This paper cites HomoMatcher: Dense Feature Matching Results with Semi-Dense Efficiency by Homography Estimation.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching HomoMatcher: Dense Feature Matching Results with Semi-Dense Efficiency by Homography Estimation

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:39:29.795682Z

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Observation 462b7df8-e90a-4399-b2c3-2587db946e2c · outbound

This paper cites Efficient loftr: Semi-dense local feature matching with sparse-like speed.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Efficient loftr: Semi-dense local feature matching with sparse-like speed

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:31.294865Z

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Observation f616e622-d0f0-4e29-bd54-aa0f2a3de402 · outbound

This paper cites Croco: Self-supervised pre-training for 3d vision tasks by cross-view completion.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Croco: Self-supervised pre-training for 3d vision tasks by cross-view completion

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:31.149646Z

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Observation 09b711a5-6c11-4a40-80b8-44f20bb91b39 · outbound

This paper cites Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:28.904750Z

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Observation bf421cb8-49cc-49ee-a1c1-76e69ab1ef8b · outbound

This paper cites Open-vocabulary panop- tic segmentation with text-to-image diffusion models.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Open-vocabulary panop- tic segmentation with text-to-image diffusion models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:30.981161Z

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Observation 26a49359-f5fb-41d4-9b9e-09785c3cabae · outbound

This paper cites Telling left from right: Identifying geometry-aware semantic corre- spondence.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Telling left from right: Identifying geometry-aware semantic corre- spondence

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:30.843729Z

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Observation 4e6a71ee-c64b-4a4b-b7ff-298e4763f738 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:30.731910Z

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Observation e38d7acc-1889-43f7-8ca8-e58f981098e6 · outbound

This paper cites Diffglue: Diffusion-aided image feature matching.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Diffglue: Diffusion-aided image feature matching

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:30.584616Z

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Observation 0105457e-345d-44ef-abc4-6841eb6c8711 · outbound

This paper cites Mesa: Matching everything by segmenting anything.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Mesa: Matching everything by segmenting anything

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:30.407579Z

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Observation 9e353c44-b44c-4873-b468-0e978bdc14db · outbound

This paper cites Unleashing text-to-image diffu- sion models for visual perception.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Unleashing text-to-image diffu- sion models for visual perception

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:29.514537Z

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Observation 99ebaf2a-ed60-458b-8219-a47bfbe0fe54 · outbound

This paper cites Pmatch: Paired masked image modeling for dense geometric matching.

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching Pmatch: Paired masked image modeling for dense geometric matching

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:30.196322Z

Source-reported events for the cited work

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Pith citing papers

Observation 5470f779-d45d-474b-a5cd-7888123a85c0 · inbound

Probing and Leveraging Video Diffusion Transformer Features for Robust Point Tracking cites this paper.

Probing and Leveraging Video Diffusion Transformer Features for Robust Point Tracking Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T14:24:49.968980Z

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