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Paper Citation Record · LEDGER

Gradient Methods for Solving Stackelberg Games

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.06901.

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

pith.paper-citation-record.v1
1908.06901 v3

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:38:53.998300Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

28 of 28 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0277a5e-5e25-4bd5-8a32-24aad14849fb · outbound

This paper cites J ournal of optimization theory and applications 68(2), 371–378 (1991).

Gradient Methods for Solving Stackelberg Games J ournal of optimization theory and applications 68(2), 371–378 (1991)

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 393bdc76-cccc-47eb-9d61-10faeefc9595 · outbound

This paper cites Pattern Recognition 84, 317–331 (2018).

Gradient Methods for Solving Stackelberg Games Pattern Recognition 84, 317–331 (2018)

Reference 2

Resolution
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Source-reported events for the cited work

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Observation fd7ac622-ec52-480c-afc4-50ee417faba8 · outbound

This paper cites On-line learning in neural networks 17(9), 142 (1998).

Gradient Methods for Solving Stackelberg Games On-line learning in neural networks 17(9), 142 (1998)

Reference 3

Resolution
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Observation 45dff422-1d66-45c2-b078-23aaff7d6fc0 · outbound

This paper cites Interfaces 36(6), 530–544 (2006).

Gradient Methods for Solving Stackelberg Games Interfaces 36(6), 530–544 (2006)

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 777b9570-2a45-4ad5-aadf-05a6ca006c1f · outbound

This paper cites In: Proceedings of the 17th ACM SIGKDD international c onfer- ence on Knowledge discovery and data mining.

Gradient Methods for Solving Stackelberg Games In: Proceedings of the 17th ACM SIGKDD international c onfer- ence on Knowledge discovery and data mining

Reference 5

Resolution
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Source-reported events for the cited work

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Observation 1b1bb7e4-989c-4329-bbbd-a94952bc501b · outbound

This paper cites an unresolved cited work.

Gradient Methods for Solving Stackelberg Games Unresolved cited work

Reference 6

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Observation da4d0f46-6736-4ffa-a3d6-a83d86b3580d · outbound

This paper cites In: Proceedings o f the 34th 14 R.

Gradient Methods for Solving Stackelberg Games In: Proceedings o f the 34th 14 R

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d89fd498-b978-4f80-95f5-0cdf8bfbcdc7 · outbound

This paper cites Wiley (2000).

Gradient Methods for Solving Stackelberg Games Wiley (2000)

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3761f839-108a-4f7f-9353-8ca18120e8d2 · outbound

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Gradient Methods for Solving Stackelberg Games Unresolved cited work

Reference 9

Resolution
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Source-reported events for the cited work

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Observation 655604cc-5d73-40be-8f97-c16d24796592 · outbound

This paper cites Harvester Wheatsheaf (1 992).

Gradient Methods for Solving Stackelberg Games Harvester Wheatsheaf (1 992)

Reference 10

Resolution
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Source-reported events for the cited work

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Observation 49ce2ed0-d6d3-4654-a6aa-fe31c587d1ca · outbound

This paper cites European Jour nal of Operational Research 273(3), 1085–1096 (2019).

Gradient Methods for Solving Stackelberg Games European Jour nal of Operational Research 273(3), 1085–1096 (2019)

Reference 11

Resolution
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Observation 951d2e6b-a948-4243-ae87-7495dc7304eb · outbound

This paper cites 105 (2008).

Gradient Methods for Solving Stackelberg Games 105 (2008)

Reference 12

Resolution
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Observation 662adce4-d361-42fc-a31a-0005882ed7e0 · outbound

This paper cites In: International Conferenc e on Machine Learning.

Gradient Methods for Solving Stackelberg Games In: International Conferenc e on Machine Learning

Reference 13

Resolution
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Observation 4f152ccd-f523-436f-9f6c-6970015024e8 · outbound

This paper cites Routledge (2004).

Gradient Methods for Solving Stackelberg Games Routledge (2004)

Reference 14

Resolution
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Source-reported events for the cited work

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Observation d09b1c13-f9fd-4efc-a5f7-b0477e26beac · outbound

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Gradient Methods for Solving Stackelberg Games Unresolved cited work

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 15c798c2-731a-48cc-b3e0-4133d349af2c · outbound

This paper cites Mathematical programming 32(2), 146–164 (1985).

Gradient Methods for Solving Stackelberg Games Mathematical programming 32(2), 146–164 (1985)

Reference 16

Resolution
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Source-reported events for the cited work

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Observation cce60a86-45a2-4dc8-bf59-f185c88587d3 · outbound

This paper cites Computational statistics & da ta analysis 53(11), 3735–3745 (2009).

Gradient Methods for Solving Stackelberg Games Computational statistics & da ta analysis 53(11), 3735–3745 (2009)

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation cd6bd6e5-d458-4f46-bc04-d65c2340c501 · outbound

This paper cites Journal of opt imization theory and applications 65(3), 485–499 (1990).

Gradient Methods for Solving Stackelberg Games Journal of opt imization theory and applications 65(3), 485–499 (1990)

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ee9cd160-019d-4db1-9b5a-415b71dd4309 · outbound

This paper cites In: International Confe rence on Machine Learning.

Gradient Methods for Solving Stackelberg Games In: International Confe rence on Machine Learning

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bb9f9afb-521c-49b3-9633-89bd098eeed0 · outbound

This paper cites IEEE Security & Privacy 14(3), 68–72 (2016).

Gradient Methods for Solving Stackelberg Games IEEE Security & Privacy 14(3), 68–72 (2016)

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 79a2468b-db54-4640-bc63-31e6b0e1fffd · outbound

This paper cites A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach.

Gradient Methods for Solving Stackelberg Games A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ca7bed9d-2598-41c6-a4d4-94fb1bee44d6 · outbound

This paper cites International Journ al of Ap- proximate Reasoning 113, 133–148 (2019).

Gradient Methods for Solving Stackelberg Games International Journ al of Ap- proximate Reasoning 113, 133–148 (2019)

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 77087eb6-3cc8-4204-8de2-02f897883c3a · outbound

This paper cites an unresolved cited work.

Gradient Methods for Solving Stackelberg Games Unresolved cited work

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ba9ceacd-6370-4d61-9230-51427180e744 · outbound

This paper cites Routledge (2018).

Gradient Methods for Solving Stackelberg Games Routledge (2018)

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 470cb113-518f-44a0-bb95-c7e7bc4e3c0b · outbound

This paper cites Jou rnal of the American Statistical Association 104(486), 841–854 (2009).

Gradient Methods for Solving Stackelberg Games Jou rnal of the American Statistical Association 104(486), 841–854 (2009)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:38:54.095681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 36dbbf47-0461-4101-abc7-14a5cc47b920 · outbound

This paper cites IEEE Transact ions on Evolutionary Computation 22(2), 276–295 (2018) Gradient Methods for Solving Stackelberg Games 15.

Gradient Methods for Solving Stackelberg Games IEEE Transact ions on Evolutionary Computation 22(2), 276–295 (2018) Gradient Methods for Solving Stackelberg Games 15

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:38:54.080960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 71de1369-5b48-4109-a758-84c1938ed23d · outbound

This paper cites Cambridge University Press (2011).

Gradient Methods for Solving Stackelberg Games Cambridge University Press (2011)

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d20569b5-8fa1-4691-a40e-f1045ab5dfc5 · outbound

This paper cites Syn- thesis Lectures on Artificial Intelligence and Machine Learning 12(3), 1–169 (2018).

Gradient Methods for Solving Stackelberg Games Syn- thesis Lectures on Artificial Intelligence and Machine Learning 12(3), 1–169 (2018)

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.