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Paper Citation Record · LEDGER

Learning with Opponent-Learning Awareness

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1709.04326.

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

pith.paper-citation-record.v1
1709.04326 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:24:14.619683Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7eb79500-a344-4e33-b335-a7b6fbca3df5 · inbound

Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics cites this paper.

Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics Learning with Opponent-Learning Awareness

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-10T23:24:14.619683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:24:14.619683Z digest=sha256:6a86989f0d61981a9e676f62bae33813ff879e937f7f4652d2d41216bb7be88a

Observation 1d218df6-f17b-4151-b312-7a51599cfd3e · inbound

The challenge of hidden gifts in multi-agent reinforcement learning cites this paper.

The challenge of hidden gifts in multi-agent reinforcement learning Learning with Opponent-Learning Awareness

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:39.358832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:39.358832Z digest=sha256:fca71e6db909024a2ce79c6ade92fd59350a475b05797fe01671b70186715caf

Observation 1f983252-eb2c-41f9-aa30-8982c065f9ec · inbound

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments cites this paper.

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments Learning with Opponent-Learning Awareness

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-19T11:57:16.263774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T11:57:08.314088Z digest=sha256:0451430162bf70e9da10f3fa252050c488838cd270a9e0a6420f33495dae6d4a

Observation a0296929-eb95-4f4a-a644-f1c206dab12d · inbound

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning cites this paper.

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning Learning with Opponent-Learning Awareness

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:42.264738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:42.264738Z digest=sha256:2cbb7f46978e020f0ec975d0208b8f9f91c53af0cebd25c2e9a6bb38b0a08d20

Observation 7a123442-5a63-44ac-9744-68331814acfd · inbound

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning cites this paper.

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Learning with Opponent-Learning Awareness

Reference 125

Resolution
verified exact
local_arxiv, observed 2026-06-30T22:15:05.882560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-30T22:11:35.277901Z digest=sha256:18c70aea98bfd8c6aa7275af179d6c20c1b09cd3027af8e029f5c9160f7e844d

Observation 3393aa44-4f0f-415a-96b0-8c3068bd786c · inbound

Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade Execution cites this paper.

Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade Execution Learning with Opponent-Learning Awareness

Reference 32

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T07:09:46.474984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-21T07:05:07.816803Z digest=sha256:1289d3157156f2130a1a19d68b25e8c0d3057155f283b3488fbc60d883b323f7

Observation 8a8376b1-c190-4030-969f-293bda598d69 · inbound

Learning to cooperate with emergent reputation via multi-agent reinforcement learning cites this paper.

Learning to cooperate with emergent reputation via multi-agent reinforcement learning Learning with Opponent-Learning Awareness

Reference 65

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T11:16:53.408728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T04:23:39.844854Z digest=sha256:f1c4eb8f6f42f61d8e7df0f531ff2fe51954757c2ff4cac2149ea01676f00e2d

Observation bf5e7661-810d-4023-a78b-be1ee30f7f41 · inbound

Regret Minimization with Adaptive Opponents in Repeated Games cites this paper.

Regret Minimization with Adaptive Opponents in Repeated Games Learning with Opponent-Learning Awareness

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-02T12:36:56.452029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T02:02:27.201726Z digest=sha256:3a7b2be77847967c3380180816816377fdc8539ae37c97e865d9ddb25bcbeea3

Observation 479acccb-ec12-47a4-8455-bb95bf6b01ad · inbound

Parametric Open Source Games cites this paper.

Parametric Open Source Games Learning with Opponent-Learning Awareness

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-06-26T02:08:54.893123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-26T01:59:35.625359Z digest=sha256:fe9681ff5d926dcab31de2c9eed9f33d4186e573147e417add615d3357362af5

Observation 71c0b7c2-12c0-4e17-8ec0-33074dfdb5cf · inbound

One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective cites this paper.

One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective Learning with Opponent-Learning Awareness

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T16:38:39.668340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-03T16:36:22.888448Z digest=sha256:d027a86c81aa583750cb32e907345323658bf82f1202b12a4515cf41c3cdbe8e