Paper Citation Record · LEDGER

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:1908.02735.

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

pith.paper-citation-record.v1
1908.02735 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:45:35.832209Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

38 of 38 outbound references displayed

verified exact0
verified fuzzy36
unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99ec6f5b-c0cf-4edd-86f3-3f4458b7bd60 · outbound

This paper cites Cross- modal retrieval in the cooking context: Learning se- mantic text-image embeddings.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Cross- modal retrieval in the cooking context: Learning se- mantic text-image embeddings

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.774767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2d280d23-96f6-4c27-aa11-794387cc3ef5 · outbound

This paper cites Beyond triplet loss: A deep quadru- plet network for person re-identiﬁcation.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Beyond triplet loss: A deep quadru- plet network for person re-identiﬁcation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.755899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f3c30787-63b7-4ca9-93c8-6547103c7d72 · outbound

This paper cites Learn- ing a similarity metric discriminatively, with appli- cation to face veriﬁcation.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Learn- ing a similarity metric discriminatively, with appli- cation to face veriﬁcation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.741021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation db52661c-c97a-4a83-8a9e-6e5f50e3df07 · outbound

This paper cites Deep adversarial metric learning.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deep adversarial metric learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.719716Z

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Observation 386df04f-bb4f-4c6c-abb5-f8e3a7c3a39a · outbound

This paper cites Deep metric learning with hierarchical triplet loss.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deep metric learning with hierarchical triplet loss

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.692705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c145fe3d-7684-448d-a2b1-39cd08bca87b · outbound

This paper cites A kernel method for the two-sample-problem.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings A kernel method for the two-sample-problem

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.524106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 468d1157-c65b-4b82-8cb0-33f7424802dd · outbound

This paper cites Smart mining for deep metric learning.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Smart mining for deep metric learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.480041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0dd8a655-cd66-4fcb-b985-7c2ee7889ee7 · outbound

This paper cites Batch normaliza- tion: Accelerating deep network training by reducing internal covariate shift.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Batch normaliza- tion: Accelerating deep network training by reducing internal covariate shift

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.458337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dc182e32-e935-4620-9ebd-126639d04630 · outbound

This paper cites Negative evidences and co-occurrences in image retrieval: the beneﬁt of PCA and whitening.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Negative evidences and co-occurrences in image retrieval: the beneﬁt of PCA and whitening

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.434170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8d2bf59-cf8e-4a25-9d07-94ae9d54cc18 · outbound

This paper cites Random fea- ture maps for dot product kernels.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Random fea- ture maps for dot product kernels

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.416727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f18f8303-ca55-4ba6-b1e2-d11520af0cd6 · outbound

This paper cites Attention-based ensemble for deep metric learning.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Attention-based ensemble for deep metric learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.396168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation da444515-4dd7-44ca-8d89-efd93dbe4e8c · outbound

This paper cites 3d object representations for ﬁne-grained cate- gorization.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings 3d object representations for ﬁne-grained cate- gorization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.376819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 559af0a2-296c-40ca-94f9-2327976c3581 · outbound

This paper cites Deep variational metric learning.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deep variational metric learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.359163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c57d9d4d-5563-4180-ba60-dd54e0f2db4d · outbound

This paper cites Deep relative distance learning: Tell the difference between similar vehicles.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deep relative distance learning: Tell the difference between similar vehicles

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.340820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 33fc7846-ac46-4126-a17c-fa0e0ce23a6a · outbound

This paper cites Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deepfashion: Powering robust clothes recognition and retrieval with rich annotations

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.317697Z

Source-reported events for the cited work

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Observation b2aee4ff-680a-496f-b5c7-932393b4d297 · outbound

This paper cites Leung, Sergey Ioffe, and Saurabh Singh.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Leung, Sergey Ioffe, and Saurabh Singh

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.298646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88e48cd7-80f8-4321-a53e-9c42fe83a134 · outbound

This paper cites Deep metric learning via facility lo- cation.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deep metric learning via facility lo- cation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.281544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a2dcbbba-2144-47a4-95ac-ab0dc42975af · outbound

This paper cites Deep metric learning via lifted struc- tured feature embedding.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deep metric learning via lifted struc- tured feature embedding

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.262841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d2d5578-03b2-4762-8c5f-be5603e2e9f5 · outbound

This paper cites Bier - boosting independent embed- dings robustly.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Bier - boosting independent embed- dings robustly

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.246310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e51f8bc8-0471-43ff-a635-6b03661694b6 · outbound

This paper cites Deep metric learning with BIER: boosting independent embeddings robustly.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deep metric learning with BIER: boosting independent embeddings robustly

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.230455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 29b83cb0-ccb0-4432-b069-fc72be654226 · outbound

This paper cites Metric learning with adaptive density discrimination.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Metric learning with adaptive density discrimination

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.213676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e9b55e54-d08c-4a9c-9625-c3672804afda · outbound

This paper cites Facenet: A uniﬁed embedding for face recog- nition and clustering.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Facenet: A uniﬁed embedding for face recog- nition and clustering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.196585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e069c096-e375-42d1-aaea-7d63c9ebcbbe · outbound

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

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Improved deep metric learning with multi-class n-pair loss objective

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.176822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3def2b1c-5898-4364-8f37-8bdad767b1b6 · outbound

This paper cites Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Sch¨olkopf, and Gert R.G.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Sch¨olkopf, and Gert R.G

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.158276Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e5acf5b-1711-4411-bc09-44e8247e0222 · outbound

This paper cites Going deeper with convolutions.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Going deeper with convolutions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.139647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cbdd0f82-1706-4fe3-9724-57eedb88f580 · outbound

This paper cites Learning deep embeddings with histogram loss.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Learning deep embeddings with histogram loss

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.122904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 464fcaa2-8604-4c9e-975b-7ce7881b6a59 · outbound

This paper cites The Caltech-UCSD Birds-200-2011 Dataset.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings The Caltech-UCSD Birds-200-2011 Dataset

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.106372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 45538f3e-5522-4d8c-bbf7-1bdc83500946 · outbound

This paper cites Cosface: Large margin cosine loss for deep face recognition.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Cosface: Large margin cosine loss for deep face recognition

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.089087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95438979-3211-4f17-89b7-9ed7ca15db09 · outbound

This paper cites Deep metric learning with angular loss.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deep metric learning with angular loss

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.071693Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation df5e4335-7fec-44b0-8900-d76708af35fc · outbound

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Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:45:36.052305Z

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Observation 21f023b0-22c2-4ef4-a355-f7d9e5731ab5 · outbound

This paper cites an unresolved cited work.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:45:36.032478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 53d0bb51-8eca-4cfa-9c74-f2699c256bb6 · outbound

This paper cites Deep asymmetric metric learning via rich re- lationship mining.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deep asymmetric metric learning via rich re- lationship mining

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:36.012339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f0dffeaf-2686-4579-b823-8863a6bc9a65 · outbound

This paper cites Deep randomized ensembles for metric learning.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Deep randomized ensembles for metric learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:35.987376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b4ee0ae0-b0ec-4ba4-972b-8ff82500ff8a · outbound

This paper cites Correcting the triplet selection bias for triplet loss.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Correcting the triplet selection bias for triplet loss

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:35.962087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4a9c72a5-df99-484e-a083-2f095753a465 · outbound

This paper cites Hard- aware deeply cascaded embedding.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Hard- aware deeply cascaded embedding

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:35.938643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c0cd36fb-d53c-4033-b08a-757059c6bfa2 · outbound

This paper cites Hardness-aware deep metric learning.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Hardness-aware deep metric learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:35.921244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ba119a4-1825-4083-b5b4-984fe5fc97c7 · outbound

This paper cites Learning deep features for discriminative localization.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Learning deep features for discriminative localization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:35.898880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation faa2d696-d400-4929-a6d8-533e79f1cf84 · outbound

This paper cites Efﬁ- cient online local metric adaptation via negative sam- ples for person re-identiﬁcation.

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Efﬁ- cient online local metric adaptation via negative sam- ples for person re-identiﬁcation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:35.880271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

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