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Paper Citation Record · LEDGER

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

As of 5 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:1906.10546.

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

pith.paper-citation-record.v1
1906.10546 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T17:17:45.029352Z

measured 25 of 25 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

25 of 25 outbound references displayed

  • verified exact4
  • verified fuzzy21
  • unresolved0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7cdf089-3d25-4d07-912a-568470a0c9e2 · outbound

This paper cites A theory of learning from different domains.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning A theory of learning from different domains

Reference 1

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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 3e151a70-6e72-421f-880a-133eaf249057 · outbound

This paper cites ArcFace: Additive Angular Margin Loss for Deep Face Recognition.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Reference 2

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verified exact
arxiv_id, observed 2026-05-25T17:21:05.135386Z

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 c0c9bfa7-e8ef-4732-80fa-ac1b46f2abed · outbound

This paper cites Dietterich.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Dietterich

Reference 3

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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 b1a85f35-4ba6-4f0f-8bbf-b39720488e72 · outbound

This paper cites [Gong et al., 2016] Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, and Bernhard Sch¨olkopf.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning [Gong et al., 2016] Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, and Bernhard Sch¨olkopf

Reference 4

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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 78edf9b9-8ed7-4676-ad0c-fb8c4297c77e · outbound

This paper cites A kernel two-sample test.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning A kernel two-sample test

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 6baf0311-ea46-43fe-a690-ed1d7b678b4b · outbound

This paper cites Neural network ensembles.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Neural network ensembles

Reference 6

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Source-reported events for the cited work

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Observation 5cfd01df-90e3-410e-bf3f-7fc1d404d8e0 · outbound

This paper cites Deep residual learning for image recog- nition.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Deep residual learning for image recog- nition

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 680a3d09-8ac5-4d1b-9fe9-8d92b8f3c454 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Distilling the Knowledge in a Neural Network

Reference 8

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verified exact
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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 b57e3e8f-f5f4-4024-89f8-2181405bcfe7 · outbound

This paper cites Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller

Reference 9

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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 adec52f9-a280-40ea-a846-2fc596c33f11 · outbound

This paper cites Weinberger.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Weinberger

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 3888203b-6f7d-40f7-b870-9f5d74f62f96 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Adam: A Method for Stochastic Optimization

Reference 11

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verified exact
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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 47a8c4c1-8a27-407d-bc9a-ba9b8118fee6 · outbound

This paper cites Agedb: The first manually collected, in-the-wild age database.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Agedb: The first manually collected, in-the-wild age database

Reference 12

Resolution
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 18961ab6-e38c-4170-91de-c2a58666a8d4 · outbound

This paper cites Fitnets: Hints for thin deep nets.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Fitnets: Hints for thin deep nets

Reference 13

Resolution
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 90aed3de-36cc-44f9-8dd3-8c8745b4eb7c · outbound

This paper cites Chen, Carlos Castillo, Vishal M.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Chen, Carlos Castillo, Vishal M

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 095b140c-b35d-4526-8ebd-d18c733f2f9b · outbound

This paper cites Amalgamating knowledge towards comprehensive classification.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Amalgamating knowledge towards comprehensive classification

Reference 15

Resolution
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 9650bc6a-d970-4f6c-8496-1bc9fc2bf2bf · outbound

This paper cites Swapout: Learning an ensemble of deep archi- tectures.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Swapout: Learning an ensemble of deep archi- tectures

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 8d56a703-c56b-4818-ac8f-1cc32d13d537 · outbound

This paper cites Hin- ton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Hin- ton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov

Reference 17

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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 e7022467-b0c4-4f14-8148-6e1ccdd7951c · outbound

This paper cites Going deeper with convolutions.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Going deeper with convolutions

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 52d76d28-ad46-41c5-8584-ff0f94cb897f · outbound

This paper cites Regularization of neu- ral networks using dropconnect.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Regularization of neu- ral networks using dropconnect

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 8f3385cb-4ef2-481e-9771-501b5f4e20a9 · outbound

This paper cites Subspaces indexing model on Grassmann manifold for image search.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Subspaces indexing model on Grassmann manifold for image search

Reference 20

Resolution
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 2e5e4243-062a-47a1-9ef8-48091b04339b · outbound

This paper cites Progressive blockwise knowledge distillation for neural network acceleration.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Progressive blockwise knowledge distillation for neural network acceleration

Reference 21

Resolution
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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 95c1d94f-45b8-4662-8e66-51972e5b5389 · outbound

This paper cites Student becoming the master: Knowledge amalgamation for joint scene parsing, depth estimation, and more.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Student becoming the master: Knowledge amalgamation for joint scene parsing, depth estimation, and more

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 4a3f24c1-db25-4dba-bf2d-68c00f926ee2 · outbound

This paper cites Learning Face Representation from Scratch.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Learning Face Representation from Scratch

Reference 23

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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 79891019-9293-44d1-a637-49a5975f3ecd · outbound

This paper cites On compressing deep models by low rank and sparse decomposition.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning On compressing deep models by low rank and sparse decomposition

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 0d66c189-6f5f-43ae-8d8a-7ea086db978c · outbound

This paper cites Taskonomy: Disentangling task transfer learn- ing.

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Taskonomy: Disentangling task transfer learn- ing

Reference 25

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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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Pith citing papers

No inbound Pith citation observations are available.