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Paper Citation Record · LEDGER

Quadruplet Selection Methods for Deep Embedding Learning

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:1907.09245.

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

pith.paper-citation-record.v1
1907.09245 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T18:20:07.294242Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T18:20:07.294242Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T18:24:48.574959Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact4
  • verified fuzzy28
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0c2227b-f3fb-499d-bb48-0ced484ffc28 · outbound

This paper cites an unresolved cited work.

Quadruplet Selection Methods for Deep Embedding Learning Unresolved cited work

Reference 1

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Observation e38605c1-e12d-4e37-859a-cf0159e0000d · outbound

This paper cites Quadruplet Selection Methods for Deep Embedding Learning.

Quadruplet Selection Methods for Deep Embedding Learning Quadruplet Selection Methods for Deep Embedding Learning

Reference 2

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Observation fc13d70e-fdef-4996-a94b-9fcd7ab06f6a · outbound

This paper cites an unresolved cited work.

Quadruplet Selection Methods for Deep Embedding Learning Unresolved cited work

Reference 3

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Observation 07e7f6ca-c6be-4039-bcca-83c0bc9367ac · outbound

This paper cites In that study, two identical neural networks extract the features of two arbitrary images.

Quadruplet Selection Methods for Deep Embedding Learning In that study, two identical neural networks extract the features of two arbitrary images

Reference 4

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Observation 67105038-4de3-47d2-849d-e4adec12e83f · outbound

This paper cites an unresolved cited work.

Quadruplet Selection Methods for Deep Embedding Learning Unresolved cited work

Reference 5

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Observation 942cc390-1f5d-4c3c-ab1f-67c0ff0e15a4 · outbound

This paper cites If x∈ cj 1, then by using hard decision, p(ci.

Quadruplet Selection Methods for Deep Embedding Learning If x∈ cj 1, then by using hard decision, p(ci

Reference 6

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Observation d793ef6f-aa53-41a1-a9f5-d4d233b32602 · outbound

This paper cites Sim- ilarly,p(ci.

Quadruplet Selection Methods for Deep Embedding Learning Sim- ilarly,p(ci

Reference 7

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Observation 8670f45a-6d2f-4453-9f27-6107ec95f278 · outbound

This paper cites hx θ (ci.

Quadruplet Selection Methods for Deep Embedding Learning hx θ (ci

Reference 8

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Source-reported events for the cited work

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Observation 7f2b0f21-f9ca-4c99-9525-d4943aa81acc · outbound

This paper cites Likewise, gx θ is the one for the fine classes (C2).

Quadruplet Selection Methods for Deep Embedding Learning Likewise, gx θ is the one for the fine classes (C2)

Reference 9

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Observation b54ca534-0270-46dd-be4c-8488a3f28175 · outbound

This paper cites In addition, the randomly selected quadruplets are utilized as in [9].

Quadruplet Selection Methods for Deep Embedding Learning In addition, the randomly selected quadruplets are utilized as in [9]

Reference 10

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Source-reported events for the cited work

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Observation 8cdd7e46-ca30-40bf-aac2-c48e88d442eb · outbound

This paper cites Unlike previous studies that consider only the distances between XR-XP +/− and XR-XN , the proposed methods consider also the distances between XN - XP +/− in the feature space.

Quadruplet Selection Methods for Deep Embedding Learning Unlike previous studies that consider only the distances between XR-XP +/− and XR-XN , the proposed methods consider also the distances between XN - XP +/− in the feature space

Reference 11

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Observation 7a4a844e-c1d5-48cb-9ac2-a3187fcfd3f6 · outbound

This paper cites Smart Mining for Deep Metric Learning.

Quadruplet Selection Methods for Deep Embedding Learning Smart Mining for Deep Metric Learning

Reference 12

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Source-reported events for the cited work

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Observation 3eea11e5-f5d2-4abe-8fa5-26279472cd18 · outbound

This paper cites No Fuss Distance Metric Learning using Proxies.

Quadruplet Selection Methods for Deep Embedding Learning No Fuss Distance Metric Learning using Proxies

Reference 13

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Source-reported events for the cited work

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Observation 32bc53b7-ad77-4067-9bca-fef098ec799e · outbound

This paper cites Deep metric learning via facility location.

Quadruplet Selection Methods for Deep Embedding Learning Deep metric learning via facility location

Reference 14

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Observation 18e5f6fd-838e-4189-837e-0f532c41e860 · outbound

This paper cites Improved deep metric learning with multi- class n-pair loss objective.

Quadruplet Selection Methods for Deep Embedding Learning Improved deep metric learning with multi- class n-pair loss objective

Reference 15

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Observation 772f9055-03c8-4c60-b3b6-8644b8fe814d · outbound

This paper cites Im- proving the robustness of deep neural networks via sta- bility training.

Quadruplet Selection Methods for Deep Embedding Learning Im- proving the robustness of deep neural networks via sta- bility training

Reference 16

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Observation ce851a24-bd29-4cf7-92fa-b9d9770430f0 · outbound

This paper cites Embedding label structures for fine-grained feature representation.

Quadruplet Selection Methods for Deep Embedding Learning Embedding label structures for fine-grained feature representation

Reference 17

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Source-reported events for the cited work

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Observation c3c79ff3-989f-45fa-ba96-460c193c4406 · outbound

This paper cites Collecting a large-scale dataset of fine-grained cars.

Quadruplet Selection Methods for Deep Embedding Learning Collecting a large-scale dataset of fine-grained cars

Reference 18

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Observation 9788150e-92f9-4c46-9f77-520c953c6450 · outbound

This paper cites Marvel: A large-scale image dataset for maritime vessels.

Quadruplet Selection Methods for Deep Embedding Learning Marvel: A large-scale image dataset for maritime vessels

Reference 19

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Observation c09840ec-0dd1-462b-8444-b7d32f1c191d · outbound

This paper cites Deep distance metric learning for maritime vessel identification.

Quadruplet Selection Methods for Deep Embedding Learning Deep distance metric learning for maritime vessel identification

Reference 20

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Observation f2d398ec-19eb-4a28-b7fb-583818841239 · outbound

This paper cites Generic and attribute-specific deep representations for maritime vessels.

Quadruplet Selection Methods for Deep Embedding Learning Generic and attribute-specific deep representations for maritime vessels

Reference 21

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Source-reported events for the cited work

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Observation 8bc2b963-203c-4e94-97c4-89e0375947a6 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Quadruplet Selection Methods for Deep Embedding Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 22

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Source-reported events for the cited work

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Observation 749e2c9f-fd9b-4b1d-ab0a-08affb1a70c3 · outbound

This paper cites Going deeper with convolutions.

Quadruplet Selection Methods for Deep Embedding Learning Going deeper with convolutions

Reference 23

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Observation 15d521d3-58e2-4a37-9e7a-1f2dd94e4669 · outbound

This paper cites Signature verification using a.

Quadruplet Selection Methods for Deep Embedding Learning Signature verification using a

Reference 24

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Observation bb21f641-2235-4d23-b88e-85d0089078e3 · outbound

This paper cites Discriminative learning of deep convolutional feature point descriptors.

Quadruplet Selection Methods for Deep Embedding Learning Discriminative learning of deep convolutional feature point descriptors

Reference 25

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Observation 83398b3d-222b-42d8-bf88-39e1ef1d5573 · outbound

This paper cites Unsupervised Learning of Visual Representations using Videos.

Quadruplet Selection Methods for Deep Embedding Learning Unsupervised Learning of Visual Representations using Videos

Reference 26

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This paper cites Dimensionality reduction by learning an invariant mapping.

Quadruplet Selection Methods for Deep Embedding Learning Dimensionality reduction by learning an invariant mapping

Reference 27

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Observation a482b89d-f3a7-4592-ba94-26029242c919 · outbound

This paper cites Distance metric learning for large margin nearest neighbor classifica- tion.

Quadruplet Selection Methods for Deep Embedding Learning Distance metric learning for large margin nearest neighbor classifica- tion

Reference 28

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Source-reported events for the cited work

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Observation cd6e6b5c-5815-4aa1-affd-d196b3c2f846 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

Quadruplet Selection Methods for Deep Embedding Learning Facenet: A unified embedding for face recognition and clustering

Reference 29

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Source-reported events for the cited work

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Observation b6e68ff7-0f9e-4cd8-9c49-dc25975930b6 · outbound

This paper cites Learning descriptors for object recognition and 3d pose estimation.

Quadruplet Selection Methods for Deep Embedding Learning Learning descriptors for object recognition and 3d pose estimation

Reference 30

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Source-reported events for the cited work

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Observation c73f5687-feef-493b-93f6-c906f793738b · outbound

This paper cites Learning local image descriptors with deep siamese and triplet convo- lutional networks by minimising global loss functions.

Quadruplet Selection Methods for Deep Embedding Learning Learning local image descriptors with deep siamese and triplet convo- lutional networks by minimising global loss functions

Reference 31

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Observation ae1338a1-8dce-41e0-9d61-cb4281ff2189 · outbound

This paper cites Deep metric learning via lifted structured feature em- bedding.

Quadruplet Selection Methods for Deep Embedding Learning Deep metric learning via lifted structured feature em- bedding

Reference 32

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Source-reported events for the cited work

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Observation 031f67e6-7813-4b5a-a390-916f836f9689 · outbound

This paper cites Deep metric learning via facility location.

Quadruplet Selection Methods for Deep Embedding Learning Deep metric learning via facility location

Reference 33

Resolution
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Source-reported events for the cited work

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Observation d9f88c72-666a-4521-85e3-e01188316ceb · outbound

This paper cites Deep residual learning for image recognition.

Quadruplet Selection Methods for Deep Embedding Learning Deep residual learning for image recognition

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d3af1486-1d02-4659-8f66-6c6230aa215c · outbound

This paper cites Imagenet large scale visual recognition chal- lenge.

Quadruplet Selection Methods for Deep Embedding Learning Imagenet large scale visual recognition chal- lenge

Reference 35

Resolution
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raw_fallback, observed 2026-05-24T18:36:20.486596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8f7991ef-4298-4603-82d2-34a2324c1721 · outbound

This paper cites Py- torch.

Quadruplet Selection Methods for Deep Embedding Learning Py- torch

Reference 36

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raw_fallback, observed 2026-05-24T18:36:20.473614Z

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Pith citing papers

Observation e38605c1-e12d-4e37-859a-cf0159e0000d · inbound

Quadruplet Selection Methods for Deep Embedding Learning cites this paper.

Quadruplet Selection Methods for Deep Embedding Learning Quadruplet Selection Methods for Deep Embedding Learning

Reference 2

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local_arxiv, observed 2026-05-24T18:24:48.577613Z

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