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Paper Citation Record · LEDGER

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency

As of 5 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2604.06713.

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

pith.paper-citation-record.v1
2604.06713 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:49:12.890411Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

60 of 60 outbound references displayed

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  • verified fuzzy58
  • unresolved0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6acc1d3-e799-4230-a060-154171e526fb · outbound

This paper cites Building rome in a day.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Building rome in a day

Reference 1

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Observation f181ac69-19b0-466b-9d9a-2c976408bb54 · outbound

This paper cites Structure-from-motion revisited.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Structure-from-motion revisited

Reference 2

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Source-reported events for the cited work

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Observation 663f5dd0-a44d-4d4f-8011-94a0c550ad6d · outbound

This paper cites Pixel- perfect structure-from-motion with featuremetric refinement.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Pixel- perfect structure-from-motion with featuremetric refinement

Reference 3

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Source-reported events for the cited work

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Observation 763381be-a51e-4dff-9607-92cc991075ae · outbound

This paper cites Detector-free structure from motion.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Detector-free structure from motion

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 37bd5e36-809b-4ebc-b896-098aac4894e4 · outbound

This paper cites Sparf: Neural radiance fields from sparse and noisy poses.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Sparf: Neural radiance fields from sparse and noisy poses

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c7b52458-edc6-403a-a711-e0e63f9f9b31 · outbound

This paper cites CorresNeRF: Image correspondence priors for neural radiance fields.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency CorresNeRF: Image correspondence priors for neural radiance fields

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation ee6243e0-9f38-43d7-af4e-df8405f15b3c · outbound

This paper cites Mariner: Enhanc- ing novel views by matching rendered images with nearby references.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Mariner: Enhanc- ing novel views by matching rendered images with nearby references

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 722aecff-6c30-4f1d-b8ff-7ce51b8b802c · outbound

This paper cites Joint stroke tracing and correspondence for 2d animation.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Joint stroke tracing and correspondence for 2d animation

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 514eb984-75ad-4054-b211-689c7b2ef1fc · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Loftr: Detector-free local feature matching with transformers

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation ef1da369-3124-4e75-a5ce-ac413b59bf58 · outbound

This paper cites Match- former: Interleaving attention in transformers for feature matching.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Match- former: Interleaving attention in transformers for feature matching

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a28ad989-6d86-4b68-ae00-23f53734533c · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Aspanformer: Detector-free image matching with adaptive span transformer

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b595ecd3-ad6e-425c-8b9b-4cffa6cbbca0 · outbound

This paper cites Quadtree attention for vision transformers.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Quadtree attention for vision transformers

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4278d395-e3b1-4a8b-902c-e1906f00b91b · outbound

This paper cites Adaptive spot-guided transformer for consistent local feature matching.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Adaptive spot-guided transformer for consistent local feature matching

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f3b84c91-8d6d-4a79-942f-1efc14730025 · outbound

This paper cites Topicfm: Robust and interpretable topic-assisted feature matching.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Topicfm: Robust and interpretable topic-assisted feature matching

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 78104edc-edf7-4164-a60f-42b408bc8eb3 · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Efficient loftr: Semi- dense local feature matching with sparse-like speed

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 2e002464-e795-41d0-a73d-ad929cf05b56 · outbound

This paper cites Aslfeat: Learning local features of accurate shape and localization.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Aslfeat: Learning local features of accurate shape and localization

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation eb08516d-1e5e-46b9-a14b-a77a2338acd5 · outbound

This paper cites D2d: Keypoint extraction with describe to detect approach.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency D2d: Keypoint extraction with describe to detect approach

Reference 17

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Observation 606e7756-3fa1-482a-b578-28d4b2259796 · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency SuperGlue: Learning feature matching with graph neural networks

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 228f39e3-4852-443a-b4d4-4e64316436ea · outbound

This paper cites LightGlue: Local Feature Matching at Light Speed.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency LightGlue: Local Feature Matching at Light Speed

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 85fe1362-4803-4aed-bff0-706dc7d6e275 · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Dkm: Dense kernelized feature matching for geometry estimation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:ab91357f66d2cc3df17e49385144747bc0acfe70bae21dd683938ff51b4ec068

Observation 978690fd-b2fc-4e33-abe6-8706c2a1fe39 · outbound

This paper cites RoMa: Robust Dense Feature Matching.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency RoMa: Robust Dense Feature Matching

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0a7f9b73-eeb7-4ce8-9827-15e1f9a855ad · outbound

This paper cites Pats: Patch area transportation with subdivision for local feature matching.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Pats: Patch area transportation with subdivision for local feature matching

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c322c95c-c269-4a33-818d-300a66f77fc0 · outbound

This paper cites Adaptive assignment for geometry aware local feature matching.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Adaptive assignment for geometry aware local feature matching

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 222c8c52-ed0e-429e-894b-aba26b4a9af4 · outbound

This paper cites Distinctive image features from scale-invariant key- points.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Distinctive image features from scale-invariant key- points

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 2bb5078c-3070-4904-8fc4-7e742d8727bb · outbound

This paper cites Machine learning for high-speed corner detection.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Machine learning for high-speed corner detection

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 88a021d7-a92e-424f-af9e-810f1f3fd5ea · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Speeded-up robust features (surf)

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.488554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0fc2d162-ab72-4e4f-b4f8-bbc1b1778218 · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Orb: An efficient alternative to sift or surf

Reference 27

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raw_fallback, observed 2026-05-17T08:51:41.462980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1692580e-c22a-42fb-82a1-3d85dba09fc5 · outbound

This paper cites Quad- networks: unsupervised learning to rank for interest point detection.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Quad- networks: unsupervised learning to rank for interest point detection

Reference 28

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raw_fallback, observed 2026-05-17T08:51:41.477503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 08f3c45b-ecdc-470a-bef6-4490b9facbf5 · outbound

This paper cites Key.net: Keypoint detection by handcrafted and learned cnn filters.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Key.net: Keypoint detection by handcrafted and learned cnn filters

Reference 29

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verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.483043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:a6a7d74395591db0f3893a858b57bda8d7d84e90580e22bdf6ea3409178806ae

Observation da37f1e6-564a-43cb-9568-d84255c86838 · outbound

This paper cites L2-net: Deep learning of discriminative patch descriptor in euclidean space.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency L2-net: Deep learning of discriminative patch descriptor in euclidean space

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.514916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:eeaa328f029ea8b9824ac84386eadc2bff735fac06cff6eed2593a90acc0d95b

Observation ef46cfe3-8b3b-48b8-9c4e-d4f9307759cb · outbound

This paper cites Working hard to know your neighbor’s margins: Local descriptor learning loss.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Working hard to know your neighbor’s margins: Local descriptor learning loss

Reference 31

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verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.491158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:e74ff15af733f7df0e4623bab8532b193ababfedd19cbea1bdd412c4d3fa3049

Observation 125523c2-9b65-41ae-ae0a-d5f9b74b2b65 · outbound

This paper cites Sosnet: Second order similarity regularization for local descriptor learning.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Sosnet: Second order similarity regularization for local descriptor learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.498654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:0c18a6ac87be490986bab85df412323b57c154250bdbf450480876ecb9481ac3

Observation a9353a00-eca4-465a-b871-c88d75534c3c · outbound

This paper cites Beyond cartesian representations for local descriptors.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Beyond cartesian representations for local descriptors

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.453547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:d131a362727e9a55e5c410b8d507707fce659d2e559593aa4b0b1033328c2b21

Observation e62bbaf7-c299-4006-b1fa-e30fbeb8ab01 · outbound

This paper cites D2-net: A trainable cnn for joint description and detection of local features.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency D2-net: A trainable cnn for joint description and detection of local features

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.444477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:7abcd38ddc9c1791c005f80226c9333dd57086325adc8a69f2b43f4951175b6a

Observation 07d1a438-24ae-4f39-b7b0-140687387a35 · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Superpoint: Self- supervised interest point detection and description

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.469627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:36d8f9dc6b867202db05d95fd598523c2f024992a1646ca13255383e449cfb08

Observation 7db5f45b-4336-4265-8d7f-1c7843f2703e · outbound

This paper cites R2d2: Reliable and repeatable detector and descriptor.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency R2d2: Reliable and repeatable detector and descriptor

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.472950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:a33fa238b02a6264b8219579849cd96fed3dfaee7d07549c49711413b1e86d1a

Observation 90a0aaca-a116-47cf-b690-b48abaf08661 · outbound

This paper cites Rwbd: Learning robust weighted binary descriptor for image matching.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Rwbd: Learning robust weighted binary descriptor for image matching

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.441095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:344dc9ec9cc23a5bc768b90292610eef80db3d0dfd23ab3fa36f18659ce839f1

Observation e100cc65-2bc1-404a-bf30-9da61100f779 · outbound

This paper cites Learning general descriptors for image matching with regression feedback.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Learning general descriptors for image matching with regression feedback

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.466361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:57b8c2f7a17824fd6b5792517fb9131b6d7aa8b7f50d2d0cd3762a6eb25c2932

Observation 61f70cd3-00a5-4d3d-bfab-428160046d17 · outbound

This paper cites Tcdesc: Learning topology consistent descriptors for image matching.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Tcdesc: Learning topology consistent descriptors for image matching

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.480296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:5d0f3f67f1fbc0fd9d149675ec1ee1b3d7bddc3e2f2159ac95603d3c5862f6e7

Observation ffd3a4f7-7a1d-4757-b23b-7fff190bef85 · outbound

This paper cites Learning to reduce scale differences for large-scale invariant image matching.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Learning to reduce scale differences for large-scale invariant image matching

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.477909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:9b1867988dc467dc30f931b8ca875a829656adfc117341b89654c82dc2f678b3

Observation 0d1136eb-80df-462d-8bca-dcbbff2a6ecb · outbound

This paper cites Msga-net: Progressive feature matching via multi-layer sparse graph attention.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Msga-net: Progressive feature matching via multi-layer sparse graph attention

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.522085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:5ca8fa330fa11738995921d9384cbec11d12102d69329271f53d7689065a3538

Observation bce94589-146f-4750-ab72-f76f101ce4e8 · outbound

This paper cites Contextmatcher: Detector-free feature matching with cross-modality context.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Contextmatcher: Detector-free feature matching with cross-modality context

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.501688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:31dbb4ae716c42b14ed6fc2f7ceb875cd3477014057b5f30b246b9be9c24aca8

Observation 48ea4c64-a7e0-4903-bf99-2403c01fd3cc · outbound

This paper cites Dgc-net: Dense geometric correspondence network.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Dgc-net: Dense geometric correspondence network

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.507928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:08100f88bccda6eeab090a115d0d833a3e5d73cb7cc714046aef655e8bf3a7be

Observation 162ac5cc-2215-41c2-8cf5-6b805b89b5fe · outbound

This paper cites Learning accurate dense correspondences and when to trust them.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Learning accurate dense correspondences and when to trust them

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.492556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:889b38a4dfe490cfe5f5fc490d066f69aa5125e87de364d3e5f9f3c6e6f4e6e3

Observation 5c8404ef-7893-4b5d-aad7-f2e1650e4424 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Dinov2: Learning robust visual features without supervision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.518276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:b8a2aec1272ae29a6ca416383a6f0ba110d953c3f854709abebdf931504f6a84

Observation d0bb1d52-76f5-4924-af43-b6807088c32f · outbound

This paper cites Neighbourhood consensus networks.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Neighbourhood consensus networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.480796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:f39452e56ebf9b833d9cbdfdf618f05f782612492f5b8a5f23df6b1442de301a

Observation c5cad568-b566-453b-9579-d3e862e4ed65 · outbound

This paper cites Disk: Learning local features with policy gradient.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Disk: Learning local features with policy gradient

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.458404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:eb8c160d065c2dcc08ac6e5d44ce84b1d02fd7c231849ae4662dc7322d801e10

Observation fe2f7957-0e30-409d-adfb-2fc60ca62d84 · outbound

This paper cites Grounding image matching in 3d with mast3r.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Grounding image matching in 3d with mast3r

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.471847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:bf9e1c37e10cbe8299c9ddb88f51f4259bb0f7069d6ffcf9cbba22efdf3a6ea3

Observation d7f8523a-135d-4dbd-8ed6-7ae066641cb2 · outbound

This paper cites Dual-resolution correspondence networks.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Dual-resolution correspondence networks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.509537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:3294a2ed1a64577ce778b6b3ee0fa49f160675de943fc5c00fa5ce90cbb781b1

Observation 5f1c1fe1-be7a-4adc-9638-8034da73b26d · outbound

This paper cites Jamma: Ultra-lightweight local feature matching with joint mamba.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Jamma: Ultra-lightweight local feature matching with joint mamba

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.391650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:bdb65a363478015b69d1e1db4072acdf7282739e20ccacac9127c3e60a347302

Observation 757b6194-5192-45f3-b908-81936efdf6f4 · outbound

This paper cites Comatch: Dynamic covisibility-aware transformer for bilateral subpixel-level semi-dense image matching.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Comatch: Dynamic covisibility-aware transformer for bilateral subpixel-level semi-dense image matching

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.396165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:e9ff7fd2285154fe430fe08178ddb1ac4625f2f1cf27a0f2bea52bb23e2635a1

Observation d034dd07-b115-46d2-bde8-f2bf1134fd05 · outbound

This paper cites Repvgg: Making vgg-style convnets great again.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Repvgg: Making vgg-style convnets great again

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.395474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:0a2f70fc3bdbbe35a825e91d1a67934cd191ad04b16d934b450cf81830f8cc31

Observation d4989c16-4536-4c6c-8ff7-b773ff504801 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-11T06:05:56.904181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:0c376f43b35ccf32f906ab6bc7c7c020cb5ef7c904e7c77e38562277a37e0d1a

Observation a6e993fb-3207-4b45-8c3c-8373f07647a9 · outbound

This paper cites Densely connected convolutional networks.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Densely connected convolutional networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.410701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:7a6c8a3c107b5c7cddff1456cf8e541bb951a246948b1ea3c45f42ad46fde995

Observation c51fcc75-2c28-4b97-931d-f2fb98301479 · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Megadepth: Learning single-view depth predic- tion from internet photos

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.440124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:e00cddfc83ea6defbadb7297ea73654fac2e05553bad916d5db8773252cc8300

Observation 4e97f0ca-60b3-4825-8882-f1ac8a67931f · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.506524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:6b5bf9ba05b5d555bd260d3b5768b5f353de0889dddbf92180cf19459aa91b24

Observation d29f1d34-e3e0-4f3f-8fbc-08f7827db31a · outbound

This paper cites Efficient neighbourhood consensus networks via submanifold sparse convolutions.

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Efficient neighbourhood consensus networks via submanifold sparse convolutions

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.489560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:247d57a65413e7d0f439e702af7fa5242214c9a45ebdae399dba29815a0ae137

Observation 5e925a63-fc1f-484c-a9cb-cc4d95cbfdab · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.495595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:5d4afefd8613fb00afcb3b473d91abee3fded640687dfa8dd9b8a33eacfa7c38

Observation 864f872c-b241-4387-aca7-275259e11b2f · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Inloc: Indoor visual localization with dense matching and view synthesis

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.504887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:82710cf43c641f32d27eeb8bc15d312fe83ce5f0fd6473fbccf2ef37add8d0f8

Observation 470649d7-6d75-4380-b0fd-5ff18b885563 · outbound

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

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency Benchmarking 6dof outdoor visual localization in changing conditions

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T08:51:41.511183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:12.890411Z digest=sha256:b5eaec3a0e8bb36f0cc70d660cfff480178d074401f3ff7176b0af378ce4a293

Pith citing papers

No inbound Pith citation observations are available.