Paper Citation Record · LEDGER

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.19117.

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

pith.paper-citation-record.v1
2607.19117 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:26:36.752567Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

18 of 18 outbound references displayed

verified exact1
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba3ef24f-2f12-433b-9d63-8da2d168593c · outbound

This paper cites Inverted files for text search engines,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Inverted files for text search engines,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:35.242154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fd1768d-494d-4787-9a8f-3c17145e1b40 · outbound

This paper cites Optimizing query evaluations using reinforcement learning for web search,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Optimizing query evaluations using reinforcement learning for web search,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:35.289319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 739e0249-b598-411d-bb9a-997e9a52b007 · outbound

This paper cites Match plan generation in web search with parameterized action reinforcement learning,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Match plan generation in web search with parameterized action reinforcement learning,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:35.407271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d15371c1-e53e-4cfb-befb-10854a0edc11 · outbound

This paper cites Exploration in deep rein- forcement learning: A survey,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Exploration in deep rein- forcement learning: A survey,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:35.552587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5dbbf36-a97c-47c7-b704-0a0a76cae701 · outbound

This paper cites Actor-critic reinforcement learning in the songbird,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Actor-critic reinforcement learning in the songbird,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:35.649642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 815a6aa9-9c61-417d-9ae7-99cd464739e5 · outbound

This paper cites Asynchronous methods for deep reinforcement learning,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Asynchronous methods for deep reinforcement learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:35.726901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6db0b653-7d36-4fb7-a3bf-dedc97b3bd3c · outbound

This paper cites Averaged soft actor-critic for deep reinforcement learning,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Averaged soft actor-critic for deep reinforcement learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:35.785470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9db87256-d5e8-4940-8048-7a70a96fd17d · outbound

This paper cites Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:35.867303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ec7c875-e4a0-452c-af01-b9f2fd0ce9a8 · outbound

This paper cites Drl trading with cpt actor and truncated quantile critics,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Drl trading with cpt actor and truncated quantile critics,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:35.956907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2958a923-026f-4edc-93d2-938f129fdaae · outbound

This paper cites Multi-pass q-networks for deep reinforcement learning with parameterised action spaces,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Multi-pass q-networks for deep reinforcement learning with parameterised action spaces,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:36.037993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba0cf248-bca5-4da1-a4d4-03ebbb91f226 · outbound

This paper cites Comparative analysis of parameterized action actor-critic reinforcement learning algorithms for web search match plan generation,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Comparative analysis of parameterized action actor-critic reinforcement learning algorithms for web search match plan generation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:36.226059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca4758fa-4407-4740-af0d-992513decf9a · outbound

This paper cites Research on load frequency control of multi-microgrids in an isolated system based on the multi-agent soft actor-critic algorithm,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Research on load frequency control of multi-microgrids in an isolated system based on the multi-agent soft actor-critic algorithm,

Reference 12

Resolution: verified exact; doi, observed 2026-08-01T13:29:33.824953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a50993d-7dca-4deb-854d-204b4c9e76de · outbound

This paper cites Multi- agent actor-critic for mixed cooperative-competitive environments,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Multi- agent actor-critic for mixed cooperative-competitive environments,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:36.432228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92227f2f-1b88-4ebb-83ce-3f04e8c606c8 · outbound

This paper cites Monotonic value function factorisation for deep multi-agent reinforcement learning,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Monotonic value function factorisation for deep multi-agent reinforcement learning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:36.507535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a3357aa-ee94-4cd2-9806-335793ab36b8 · outbound

This paper cites The surprising effectiveness of PPO in cooperative multi-agent games,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning The surprising effectiveness of PPO in cooperative multi-agent games,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:36.589390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdf268cf-3561-4a62-ab96-65cd8243703c · outbound

This paper cites Parametrized deep q-networks learning: Reinforcement learning with discrete-continuous hybrid action space,.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Parametrized deep q-networks learning: Reinforcement learning with discrete-continuous hybrid action space,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:36.665513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55e60834-feb9-4ab3-8ad5-c9ef8fa278cb · outbound

This paper cites Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:36.752567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b15e76-67d1-4ee6-aefe-1e393f3a7f9b · outbound

This paper cites Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces.

Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-01T13:26:36.138168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.