Paper Citation Record · LEDGER

Quasi-Newton Optimization Methods For Deep Learning Applications

As of 22 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:1909.01994.

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

pith.paper-citation-record.v1
1909.01994 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:11:03.062848Z

measured 58 of 58 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

58 of 58 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d92b27da-c96f-4c63-9426-a7f996178b2f · outbound

This paper cites Goodfellow, Y.

Quasi-Newton Optimization Methods For Deep Learning Applications Goodfellow, Y

Reference 1

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 2

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Observation 8045ec2a-be1f-41df-b7cb-a7c2c958bd7d · outbound

This paper cites Hastie, R.

Quasi-Newton Optimization Methods For Deep Learning Applications Hastie, R

Reference 3

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Observation 684dde69-7420-4a1b-8c24-0dbe73f69100 · outbound

This paper cites Robbins and S.

Quasi-Newton Optimization Methods For Deep Learning Applications Robbins and S

Reference 4

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 5

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Observation 86a6d3c8-96fa-4ed2-8726-f6968bb1f143 · outbound

This paper cites Duchi, E.

Quasi-Newton Optimization Methods For Deep Learning Applications Duchi, E

Reference 6

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Observation cacb97d8-62f5-4411-a140-4b2dffabeee4 · outbound

This paper cites Recht, C.

Quasi-Newton Optimization Methods For Deep Learning Applications Recht, C

Reference 7

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Observation 9c86b0e0-faf9-457d-83ec-924ff7132ab4 · outbound

This paper cites Adhikari, O.

Quasi-Newton Optimization Methods For Deep Learning Applications Adhikari, O

Reference 8

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Reference 9

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 10

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 11

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 12

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Observation c99aac95-4398-43d9-8d5f-b7a17e91ca4a · outbound

This paper cites Martens and I.

Quasi-Newton Optimization Methods For Deep Learning Applications Martens and I

Reference 13

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This paper cites Martens and I.

Quasi-Newton Optimization Methods For Deep Learning Applications Martens and I

Reference 14

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Observation 84f3ba8a-9d57-4cdb-a4ff-d11ac15aed50 · outbound

This paper cites Bollapragada, R.

Quasi-Newton Optimization Methods For Deep Learning Applications Bollapragada, R

Reference 15

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Observation 5e302f0d-a4da-4365-be40-fd7c9edfb68c · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

Quasi-Newton Optimization Methods For Deep Learning Applications ADADELTA: An Adaptive Learning Rate Method

Reference 16

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Source-reported events for the cited work

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Observation 9b636777-0a3f-437b-90eb-c56c5f20d7e5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Quasi-Newton Optimization Methods For Deep Learning Applications Adam: A Method for Stochastic Optimization

Reference 17

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Observation 381c52ae-e7c4-41fe-b5ea-3be26f5dee70 · outbound

This paper cites Nocedal and S.

Quasi-Newton Optimization Methods For Deep Learning Applications Nocedal and S

Reference 18

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Observation ca8e2811-50bf-4b88-b039-06a2a5142f9b · outbound

This paper cites A Dense Initialization for Limited-Memory Quasi-Newton Methods.

Quasi-Newton Optimization Methods For Deep Learning Applications A Dense Initialization for Limited-Memory Quasi-Newton Methods

Reference 19

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Observation 2ec47884-279e-41e5-aecf-e99cb4439c5a · outbound

This paper cites Brust, J.

Quasi-Newton Optimization Methods For Deep Learning Applications Brust, J

Reference 20

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Observation e6132d73-2a8e-496e-bf93-d35b49c82758 · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 21

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Quasi-Newton Optimization Methods For Deep Learning Applications Fletcher

Reference 22

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Observation 52bbf9b3-4a85-4337-bfc8-371dceace5fa · outbound

This paper cites Goldfarb.

Quasi-Newton Optimization Methods For Deep Learning Applications Goldfarb

Reference 23

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 24

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Observation 94ab84a9-17f8-4e3d-ae42-ecff9a260890 · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 25

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Observation a110a1c4-8b16-450f-ba38-f3f4be05ef2b · outbound

This paper cites Rafati, O.

Quasi-Newton Optimization Methods For Deep Learning Applications Rafati, O

Reference 26

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This paper cites Burdakov, L.

Quasi-Newton Optimization Methods For Deep Learning Applications Burdakov, L

Reference 27

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Observation 75dcfca3-95eb-4777-8731-b1e0cc57de92 · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 28

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Observation a262c5b0-c7f5-4082-88b4-07e01de73df6 · outbound

This paper cites Generalization in reinforcement learning: Successful examples using sparse coarse coding.

Quasi-Newton Optimization Methods For Deep Learning Applications Generalization in reinforcement learning: Successful examples using sparse coarse coding

Reference 29

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Quasi-Newton Optimization Methods For Deep Learning Applications Rafati and D.C

Reference 30

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Quasi-Newton Optimization Methods For Deep Learning Applications Rafati and D.C

Reference 31

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Quasi-Newton Optimization Methods For Deep Learning Applications Rafati Heravi

Reference 32

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Observation 4bc88f45-e231-4428-bc54-6a8c02da8162 · outbound

This paper cites Learning Representations in Model-Free Hierarchical Reinforcement Learning.

Quasi-Newton Optimization Methods For Deep Learning Applications Learning Representations in Model-Free Hierarchical Reinforcement Learning

Reference 33

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 34

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 35

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Observation eb73b045-55ad-42fd-8869-017bbbef6ac4 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Quasi-Newton Optimization Methods For Deep Learning Applications Playing Atari with Deep Reinforcement Learning

Reference 36

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 37

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Observation 46d92a55-b096-4c4c-bfa7-be4ddf044463 · outbound

This paper cites Silver, A.

Quasi-Newton Optimization Methods For Deep Learning Applications Silver, A

Reference 38

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 40

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 41

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 42

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

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Quasi-Newton Optimization Methods For Deep Learning Applications Rafati and R

Reference 44

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 45

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Observation b2b2a07f-abf4-440d-b42f-e0177181a830 · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications Lecun, L

Reference 46

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Observation 1487c9a0-7b76-43a3-b96d-1fd853071183 · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications LeCun and Others

Reference 47

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Observation 3fe9c0cf-8e26-42c3-9afc-fc7fe4fb00aa · outbound

This paper cites The MNIST database of handwritten digits.

Quasi-Newton Optimization Methods For Deep Learning Applications The MNIST database of handwritten digits

Reference 48

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Observation 33f5ca77-bc06-4a55-8e08-a1b1e616c433 · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 49

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Observation 2677408e-0946-43f3-9f41-20c599d57ea9 · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 50

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Observation 989270b6-a87f-4081-be3d-39c71e2c06f1 · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 51

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Observation d99ee6f9-8848-4402-8973-11089ca8b59b · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications Nesterov

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:11:03.260339Z

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Observation befda12b-512e-4b63-b360-8c264cc5415c · outbound

This paper cites Jaakkola, M.

Quasi-Newton Optimization Methods For Deep Learning Applications Jaakkola, M

Reference 53

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Source-reported events for the cited work

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Observation 3653b917-9f6c-4f6e-a6ef-ec636b2a6216 · outbound

This paper cites Brockman, V.

Quasi-Newton Optimization Methods For Deep Learning Applications Brockman, V

Reference 54

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Observation e2940a5a-9b7d-4ce5-841c-f18d7063f6c5 · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 55

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Observation b7a6d3c5-a52d-4446-8229-cd98ebf1e7f4 · outbound

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Quasi-Newton Optimization Methods For Deep Learning Applications Unresolved cited work

Reference 56

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Observation 121236cb-0c18-468f-a48c-2825fabcf41d · outbound

This paper cites Hausknecht, J.

Quasi-Newton Optimization Methods For Deep Learning Applications Hausknecht, J

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:11:03.191235Z

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 a0795f04-b0f9-4fb7-906b-279d05f1387b · outbound

This paper cites Schulman, S.

Quasi-Newton Optimization Methods For Deep Learning Applications Schulman, S

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:11:03.177873Z

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

No inbound Pith citation observations are available.