Paper Citation Record · LEDGER

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market

As of 13 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.16519.

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

pith.paper-citation-record.v1
2411.16519 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:05:22.085038Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

20 of 20 outbound references displayed

verified exact3
verified fuzzy7
unresolved6
parse uncertain0
malformed identifier2
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3591f75-7fc6-4dd1-bf57-49c7d0cd1ced · outbound

This paper cites Multiagent Rein- forcement Learning: A Review of Challenges and Applications.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Multiagent Rein- forcement Learning: A Review of Challenges and Applications

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:21.950300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbc9bd79-0806-4bb9-ad43-a0a6de8c2f09 · outbound

This paper cites com/globalassets/download-center/single-day-ahead-coupling/ euphemia-public-description.pdf (2020) 23.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market com/globalassets/download-center/single-day-ahead-coupling/ euphemia-public-description.pdf (2020) 23

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:05:22.848176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dfa775a1-bdf3-4f20-8247-7af2329efb29 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Unresolved cited work

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T13:05:22.693158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e89fa7b-3fb3-40e4-a91a-c9dc18e88b15 · outbound

This paper cites Multiagent deep reinforcement learning: a sur- vey.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Multiagent deep reinforcement learning: a sur- vey

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-12T13:05:21.974376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d724c5fb-c284-41de-a912-dc325cfebca1 · outbound

This paper cites Reinforcement learning and stochastic optimization.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Reinforcement learning and stochastic optimization

Reference 5

Resolution: malformed identifier; doi_truncated, observed 2026-08-12T13:05:22.200057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 060ccab2-8cf9-4c07-a6a8-0998500061d3 · outbound

This paper cites R., & Tsitsiklis, J.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market R., & Tsitsiklis, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:05:22.829577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6314c2c7-96e9-4996-93fb-5e285553843d · outbound

This paper cites Optimization for Reinforcement Learning: From a single agent to cooperative agents,.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Optimization for Reinforcement Learning: From a single agent to cooperative agents,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:21.995849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daab6ded-313e-4555-a3aa-2530dc76df1e · outbound

This paper cites Multi-agent Reinforcement Learning in Sequential Social Dilemmas.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Multi-agent Reinforcement Learning in Sequential Social Dilemmas

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:22.003225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8fd7e02-74b4-41b8-b799-3349b8e798c7 · outbound

This paper cites Continuous control with deep reinforcement learning,.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Continuous control with deep reinforcement learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:05:22.811306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f8cf5a81-8726-4615-8d69-2d5693ba8b8d · outbound

This paper cites Forecasting electricity prices, Oxford research encyclopedia of economics and finance.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Forecasting electricity prices, Oxford research encyclopedia of economics and finance

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:05:22.793101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 641937c1-3337-4b2b-8de9-46a6a75f5194 · outbound

This paper cites A., Veness, J., Bellemare, M.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market A., Veness, J., Bellemare, M

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:05:22.773931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3eff41fb-412f-4e72-82fa-1bfc0f385d63 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:05:22.754261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8ff18138-d001-45be-bad3-62962c380624 · outbound

This paper cites , Knapp, A.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market , Knapp, A

Reference 13

Resolution: verified exact; doi, observed 2026-08-12T13:05:22.179517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33ffbb80-45d6-4d99-8188-c8ae010d113f · outbound

This paper cites and Kebriaei, H.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market and Kebriaei, H

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-12T13:05:22.464269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aeee47ac-6da9-43a0-913c-5e8848c93b8b · outbound

This paper cites Reinforcement Learning: An Introduction; MIT Press: Cambridge, MA, USA, 2018.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Reinforcement Learning: An Introduction; MIT Press: Cambridge, MA, USA, 2018

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:05:22.733933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ead2dc6-9e2a-4190-9170-e1387146ce20 · outbound

This paper cites (2017) Multiagent cooperation and competition with deep reinforcement learning.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market (2017) Multiagent cooperation and competition with deep reinforcement learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:22.061546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71cb7b88-f4b5-452e-8156-ad151d3c4cfb · outbound

This paper cites J., & Dayan, P.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market J., & Dayan, P

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:05:22.714785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2c08aab-48c7-41ff-8414-4a544ba18204 · outbound

This paper cites Selecting and ranking individualized treatment rules with unmeasured confounding.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Selecting and ranking individualized treatment rules with unmeasured confounding

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T13:05:22.340975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bb3d20af-a2e3-4da7-bc9e-61e69244ee5b · outbound

This paper cites Deep Reinforcement Learning for Strategic Bidding in Electricity Markets,.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market Deep Reinforcement Learning for Strategic Bidding in Electricity Markets,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:22.078864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fab0acf1-f115-46fb-b168-ce4f39eeeb13 · outbound

This paper cites PLoS ONE 9(7): e102840.

Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market PLoS ONE 9(7): e102840

Reference 20

Resolution: verified exact; doi, observed 2026-08-12T13:05:22.137387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.