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Paper Citation Record · LEDGER

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2501.07556.

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

pith.paper-citation-record.v1
2501.07556 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:41:59.643776Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:17:21.139655Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a0dc376e-9598-436d-9b13-adae4bdab0a9 · inbound

Deep Learning Reforms Image Matching: A Survey and Outlook cites this paper.

Deep Learning Reforms Image Matching: A Survey and Outlook MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 165

Resolution
unresolved
no resolver link, observed 2026-08-07T10:41:59.643776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:41:59.643776Z digest=sha256:cfc0200deb5203bfa1a798b2b937b5252073a542cbc1310ec97053d047062c52

Observation 0af99571-99c4-48ef-ba1b-88d628effb0a · inbound

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching cites this paper.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:12.818463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:12.818463Z digest=sha256:fb5fe93da81b182d668785f717338dc0e0a9400980be88279e0db8c503b00248

Observation 8d956fe0-0779-45b0-a5fc-97ce2918c6dd · inbound

Precise Action-to-Video Generation Through Visual Action Prompts cites this paper.

Precise Action-to-Video Generation Through Visual Action Prompts MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T19:15:31.712338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:15:31.712338Z digest=sha256:e917216ada1dcad438e02667076ae8434e04d8b8110fd03b0de42e880f33c721

Observation b95ba266-06ec-4e0c-b13a-98ddde4a9d14 · inbound

OpenNavMap: Multi-Session Appearance-Based Topometric Mapping for Scalable Visual Navigation cites this paper.

OpenNavMap: Multi-Session Appearance-Based Topometric Mapping for Scalable Visual Navigation MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T09:56:48.968900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:56:48.968900Z digest=sha256:47151d41767dd8a4ce06a725c33d575656d006762335a6fd2d828b5fec0e08b5

Observation 037a8f09-ebde-4195-b522-79d3c61bd404 · inbound

Are Pretrained Image Matchers Good Enough for SAR-Optical Satellite Registration? cites this paper.

Are Pretrained Image Matchers Good Enough for SAR-Optical Satellite Registration? MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:55:59.487030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:54:47.440053Z digest=sha256:c9fb1d0ae7aa3d54758d71cea01aa5417ce042b813e63cd4a42b74d27a8a3292

Observation ee34e4da-9f82-4160-91e9-bf1cf7c0a33d · inbound

Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras cites this paper.

Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:56:29.726946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T04:27:01.782937Z digest=sha256:e981c15dad6be2cdde8f09d02e947d24dbbdc2f8f6299200b67526fbc9540b02

Observation ed412d76-b006-4d38-a53e-e63035f97c9e · inbound

RBE-Flow: Recurrent Bayesian Estimation on Feature Manifolds for Cross-Modal Registration cites this paper.

RBE-Flow: Recurrent Bayesian Estimation on Feature Manifolds for Cross-Modal Registration MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:44:19.109434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:39:34.564301Z digest=sha256:1d9147c5007207026c7c97fbf34289d141af088bb5d2a533193723eb1e894f89

Observation 4bc71519-5f70-44b3-9c0c-dc9cf6b18bd6 · inbound

AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images cites this paper.

AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:25:41.376648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T06:36:25.904345Z digest=sha256:5a459d12d44ed81005dbd999b558bcf5701cac575cd9d60cb46c59415ff43ae6

Observation b40fbd99-ffb4-4eb8-b357-19999d9a1d1b · inbound

AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images cites this paper.

AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:21.141084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T20:12:25.636045Z digest=sha256:c2cc0ae415c578c01fd97f69e29dbe08f52fb3eb9da932882913973f512eb059

Observation 16e5e4e5-b82c-4088-9f5b-7f166f5bd30e · inbound

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects cites this paper.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T21:39:37.670346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:39:37.670346Z digest=sha256:b3cc6ca8a7608b4632af7c9814c4df1b7a935f8eeae6dd3702ea143e64246094

Observation cabad9b0-cb53-4a6c-b188-7fddab3dbc62 · inbound

RIM: A Retrieval-In-Matching Framework for Cross-Domain Global Visual Localization of UAVs cites this paper.

RIM: A Retrieval-In-Matching Framework for Cross-Domain Global Visual Localization of UAVs MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T10:51:22.418831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:51:22.418831Z digest=sha256:7365679912f00dddf2dfae5aadc9d2ce402f132d64ffeccf539d6cac343b436a

Observation 85a0b957-6bd0-4fb9-b697-e9cabad2e44e · inbound

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models cites this paper.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T04:59:31.679552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:59:31.679552Z digest=sha256:f9fb5c3682c7976c485c956d6cb548cea1113a5283188821bab72b4f263420e2