Paper Citation Record · LEDGER

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2509.08257.

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

pith.paper-citation-record.v1
2509.08257 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:03:10.005335Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

35 of 35 outbound references displayed

verified exact2
verified fuzzy25
unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0907f83e-50e1-48ce-a247-4fee195e39e5 · outbound

This paper cites Mact: Multi-agent col- lision avoidance with continuous transition reinforcement learning via mixup,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Mact: Multi-agent col- lision avoidance with continuous transition reinforcement learning via mixup,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:13.881829Z

Source-reported events for the cited work

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Observation 00750486-9960-455a-9cd1-fb41a2bb6306 · outbound

This paper cites Hierarchical consensus-based multi-agent reinforcement learning for multi-robot cooperation tasks,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Hierarchical consensus-based multi-agent reinforcement learning for multi-robot cooperation tasks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:13.730993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a00c5503-9c72-4f3e-ae8f-8c1331d5c2d6 · outbound

This paper cites Safe multi-agent reinforcement learning for multi-robot control,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Safe multi-agent reinforcement learning for multi-robot control,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:13.565344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3dd2b3d7-714e-4ccc-aa34-543621df2062 · outbound

This paper cites Sigma: Sheaf-informed geometric multi-agent pathfinding,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Sigma: Sheaf-informed geometric multi-agent pathfinding,

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-08-04T21:03:10.466885Z

Source-reported events for the cited work

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Observation 824cc275-7dcf-426b-a2f7-4037f3efc5e4 · outbound

This paper cites Inverse reward design,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Inverse reward design,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:08.601598Z

Source-reported events for the cited work

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Observation 3930d942-e138-4407-8c04-0745baebc372 · outbound

This paper cites Concrete Problems in AI Safety.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Concrete Problems in AI Safety

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:08.678013Z

Source-reported events for the cited work

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Observation 15b67cfd-cd65-4f66-b39b-e5a17b1040bf · outbound

This paper cites Multi-agent inverse reinforcement learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Multi-agent inverse reinforcement learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:08.722381Z

Source-reported events for the cited work

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Observation 941f0004-581a-45d3-a2a7-d734df03bfd3 · outbound

This paper cites Multiagent inverse reinforcement learning for two-person zero-sum games,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Multiagent inverse reinforcement learning for two-person zero-sum games,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:13.392639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6896d7a9-3072-459c-a2df-9753856a803a · outbound

This paper cites Recent advances in robot learning from demonstration,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Recent advances in robot learning from demonstration,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:13.309722Z

Source-reported events for the cited work

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Observation 518cd559-56c2-4705-9c4b-4862fbb15c2f · outbound

This paper cites Efficient training of artificial neural networks for autonomous navigation,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Efficient training of artificial neural networks for autonomous navigation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:08.843145Z

Source-reported events for the cited work

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Observation 95ce65fd-8fa4-436a-82b3-4a80917bf775 · outbound

This paper cites Algorithms for inverse reinforcement learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Algorithms for inverse reinforcement learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:13.213703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dfbe8e0d-8b5a-48aa-bab0-6a2a8b6855df · outbound

This paper cites Efficient reductions for imitation learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Efficient reductions for imitation learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:13.086941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2587a48c-5488-4dd3-86c3-6700bda7c98e · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning A reduction of imitation learning and structured prediction to no-regret online learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:08.954056Z

Source-reported events for the cited work

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Observation a683dc4c-7994-4f60-a207-8e35534995a6 · outbound

This paper cites A survey of imitation learning: Algorithms, recent developments, and challenges,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning A survey of imitation learning: Algorithms, recent developments, and challenges,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:09.000491Z

Source-reported events for the cited work

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Observation 2efa1e87-e73e-4b6c-96a6-2e02bee18952 · outbound

This paper cites Physics-informed machine learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Physics-informed machine learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:09.046333Z

Source-reported events for the cited work

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Observation f7bbb757-1ce6-4444-aa20-145607c589e1 · outbound

This paper cites Multi- agent mdp homomorphic networks,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Multi- agent mdp homomorphic networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:12.897965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0a74e371-e19b-43d9-b7cd-d67be3446a71 · outbound

This paper cites Esp: Exploiting symmetry prior for multi-agent reinforcement learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Esp: Exploiting symmetry prior for multi-agent reinforcement learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:12.728765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68792d7d-0947-49e8-b9a2-bef0f276ed5f · outbound

This paper cites Exploiting hierarchical symmetry in multi-agent reinforcement learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Exploiting hierarchical symmetry in multi-agent reinforcement learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:12.603057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d9bc8525-6e2c-4d82-904e-28d88a0d53dd · outbound

This paper cites Multi-agent generative adver- sarial imitation learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Multi-agent generative adver- sarial imitation learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:12.483355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71ca7897-1f7b-4b0a-b630-3aa005a63d0c · outbound

This paper cites Multi-agent adversarial inverse rein- forcement learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Multi-agent adversarial inverse rein- forcement learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:12.381265Z

Source-reported events for the cited work

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Observation 085b8546-bd2d-4549-95a2-999d68ea59e5 · outbound

This paper cites Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:03:10.331009Z

Source-reported events for the cited work

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Observation 0e0be43a-a02e-4596-9df4-26fc83565865 · outbound

This paper cites Swarm inverse reinforcement learning for biological systems,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Swarm inverse reinforcement learning for biological systems,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:12.282831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 18a7015e-03e8-4205-a9ed-17ddae9ced8b · outbound

This paper cites Dec-airl: Decentralized adversarial irl for human-robot teaming,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Dec-airl: Decentralized adversarial irl for human-robot teaming,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:12.180241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 705c8c4c-4cf4-428a-b83a-c0bcbe9a138d · outbound

This paper cites Leveraging partial symmetry for multi-agent reinforcement learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Leveraging partial symmetry for multi-agent reinforcement learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:12.037289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17ebe379-700c-48a3-a900-c64620695039 · outbound

This paper cites Adaptaug: Adaptive data augmentation framework for multi-agent reinforcement learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Adaptaug: Adaptive data augmentation framework for multi-agent reinforcement learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:11.887783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff5a4d43-d463-4436-a407-0b93e5258065 · outbound

This paper cites Boosting multiagent reinforcement learning via permutation invariant and permutation equivariant networks,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Boosting multiagent reinforcement learning via permutation invariant and permutation equivariant networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:11.789882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbc57cc1-42ce-46ee-98d7-ce4c397a7f34 · outbound

This paper cites Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach

Reference 27

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Source-reported events for the cited work

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Observation 5a7a9de3-0560-48ac-a88e-845651741b55 · outbound

This paper cites Face completion based on symmetry awareness with conditional gan,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Face completion based on symmetry awareness with conditional gan,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:11.664880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6dbff58f-bdf5-4540-ba03-ad5b4e3e84c0 · outbound

This paper cites Markov games as a framework for multi-agent reinforce- ment learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Markov games as a framework for multi-agent reinforce- ment learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:11.537054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 52f0e77a-f07c-442f-98f0-f04d1f8968f1 · outbound

This paper cites Provably efficient learning of transferable rewards,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Provably efficient learning of transferable rewards,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:11.410919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 961288c7-c507-4bb1-a2f4-d36d287cf0e5 · outbound

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

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning The surprising effectiveness of ppo in cooperative multi-agent games,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:11.283186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea61c3c4-4cd0-46b3-b8f6-283d6cbd2b9d · outbound

This paper cites Cooperative pursuit with voronoi partitions,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Cooperative pursuit with voronoi partitions,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:11.161210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e5f702d-3eee-4bbd-b684-041c79f32448 · outbound

This paper cites Novel type of phase transition in a system of self-driven particles,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Novel type of phase transition in a system of self-driven particles,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:11.057783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f5043053-3e38-42d3-b885-b012a8c7e85c · outbound

This paper cites Near-optimal regret bounds for reinforcement learning,.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Near-optimal regret bounds for reinforcement learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:10.958550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c770414-ee88-42b2-8b3b-e8e3bbe0e1d9 · outbound

This paper cites Why is posterior sampling better than optimism for reinforcement learning?.

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning Why is posterior sampling better than optimism for reinforcement learning?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:10.651813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.