Paper Citation Record · LEDGER

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.01636.

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

pith.paper-citation-record.v1
2608.01636 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:13:15.236381Z

measured 34 of 34 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

34 of 34 outbound references displayed

verified exact0
verified fuzzy29
unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e19e4514-8862-4142-a096-92acefb8ae8e · outbound

This paper cites Predictability awareness for efficient and robust multi-agent coordination,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Predictability awareness for efficient and robust multi-agent coordination,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.737405Z

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.

Observation a50f5fe1-59d8-412d-bbdb-a8e16f2792d7 · outbound

This paper cites Learning to play trajectory games against opponents with unknown objectives,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Learning to play trajectory games against opponents with unknown objectives,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.725181Z

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.

Observation be6fb83f-e40c-41c6-ad4f-12365ced217e · outbound

This paper cites Cost inference for feedback dynamic games from noisy partial state observations and incomplete trajectories,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Cost inference for feedback dynamic games from noisy partial state observations and incomplete trajectories,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.713221Z

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.

Observation 0d9d9faa-3032-4dec-9706-ee8140f26706 · outbound

This paper cites Blending data-driven priors in dynamic games,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Blending data-driven priors in dynamic games,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.701227Z

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.

Observation 9eb1ae02-52e6-4d7f-900b-439fadb8298b · outbound

This paper cites Open-loop and feedback nash trajectories for competitive racing with ilqgames,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Open-loop and feedback nash trajectories for competitive racing with ilqgames,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.688532Z

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.

Observation 28037a9c-4b72-4552-992f-421721bdfb7a · outbound

This paper cites A game of social forces: Integrating non-cooperative game theory with social force model for a socially-acceptable mobile robot navigation,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning A game of social forces: Integrating non-cooperative game theory with social force model for a socially-acceptable mobile robot navigation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.674736Z

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.

Observation f0338946-5d26-4725-8576-d87d63b2ee2f · outbound

This paper cites Online and offline learning of player objectives from partial observations in dynamic games,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Online and offline learning of player objectives from partial observations in dynamic games,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.663291Z

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.

Observation 728cabcc-73f1-4665-875e-1c819e5e8d16 · outbound

This paper cites Neural-network-based dis- tributed generalized nash equilibrium seeking for uncertain nonlinear multiagent systems,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Neural-network-based dis- tributed generalized nash equilibrium seeking for uncertain nonlinear multiagent systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.647106Z

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.

Observation 17285802-83d9-4dea-a374-47f1cdeaab9a · outbound

This paper cites Continuous-time distributed generalized nash equilibrium seeking in nonsmooth fuzzy aggregative games,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Continuous-time distributed generalized nash equilibrium seeking in nonsmooth fuzzy aggregative games,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.631815Z

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.

Observation 4bea9194-63a9-4680-826c-c83fe368c406 · outbound

This paper cites Fully distributed primal-dual generalized nash equilibrium seeking algorithm under partial-decision information,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Fully distributed primal-dual generalized nash equilibrium seeking algorithm under partial-decision information,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.613241Z

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.

Observation b0c7645b-8623-4bf5-be68-34d2060caa75 · outbound

This paper cites Distributed nash equilibrium seeking for games in uncertain nonlinear systems via adaptive backstepping approach,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Distributed nash equilibrium seeking for games in uncertain nonlinear systems via adaptive backstepping approach,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.598061Z

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.

Observation 220ed174-da34-4020-a9e2-5ab9c485f1b8 · outbound

This paper cites C ¸ inlar,Probability and Stochastics.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning C ¸ inlar,Probability and Stochastics

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.583355Z

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.

Observation a0fdda10-4818-4a55-bb3a-b7bd20ebc8bf · outbound

This paper cites Lucidgames: Online unscented inverse dynamic games for adaptive trajectory prediction and planning,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Lucidgames: Online unscented inverse dynamic games for adaptive trajectory prediction and planning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.569802Z

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.

Observation 63b8a38d-2986-4e09-95f1-75c8313654e6 · outbound

This paper cites Maximum-entropy multi-agent dynamic games: Forward and inverse solutions,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Maximum-entropy multi-agent dynamic games: Forward and inverse solutions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.554136Z

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.

Observation 7c22729f-b22d-45b5-92f3-4e24c42a061d · outbound

This paper cites Multiagent graphical games with inverse reinforcement learning,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Multiagent graphical games with inverse reinforcement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.537845Z

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.

Observation 2c9c33c2-30f3-41a8-b2a6-b0d598865799 · outbound

This paper cites Nonlinear programming,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Nonlinear programming,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.521156Z

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.

Observation 89108fae-7c97-48c2-b85b-a9bbb90bbccd · outbound

This paper cites Hierarchical game-theoretic planning for autonomous vehicles,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Hierarchical game-theoretic planning for autonomous vehicles,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.505732Z

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.

Observation 13c259b3-4ed2-4cde-9b8b-5b1c844c4e1d · outbound

This paper cites Mpogames: Efficient multimodal partially observable dy- namic games,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Mpogames: Efficient multimodal partially observable dy- namic games,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.491178Z

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.

Observation 6006ec15-f574-48b4-bf31-def4cbe34816 · outbound

This paper cites Human-like robot action policy through game-theoretic intent inference for human–robot collaboration,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Human-like robot action policy through game-theoretic intent inference for human–robot collaboration,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.476354Z

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.

Observation e52f9f95-edd4-450d-8416-6553cf23775a · outbound

This paper cites Bas ¸ar and G.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Bas ¸ar and G

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T15:13:15.176377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abb5cb49-18d7-429a-8884-ec0f145dcec2 · outbound

This paper cites The computa- tion of approximate generalized feedback nash equilibria,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning The computa- tion of approximate generalized feedback nash equilibria,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.451387Z

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.

Observation 437c5b1e-cd82-4adf-949d-41fe5206610d · outbound

This paper cites Factorised active inference for strategic multi-agent interactions,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Factorised active inference for strategic multi-agent interactions,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.436717Z

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.

Observation c08b1d7e-29b3-43fc-ba9a-9289119e9362 · outbound

This paper cites Inverse differential games with mixed inequality constraints,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Inverse differential games with mixed inequality constraints,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.422202Z

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.

Observation 99461532-5065-4708-9ffc-e75765e55711 · outbound

This paper cites Guided cost learning: deep in- verse optimal control via policy optimization,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Guided cost learning: deep in- verse optimal control via policy optimization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.409051Z

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.

Observation e11758cc-a1f7-457b-914b-1d676e487331 · outbound

This paper cites Multi-agent adversarial inverse reinforce- ment learning,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Multi-agent adversarial inverse reinforce- ment learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.394162Z

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.

Observation 334fa9a3-cc2a-4015-8edb-b04d888bf95c · outbound

This paper cites Efficient iterative linear-quadratic approximations for nonlinear multi- player general-sum differential games,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Efficient iterative linear-quadratic approximations for nonlinear multi- player general-sum differential games,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.380518Z

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.

Observation 3782a22d-ca27-4c8f-97af-e5b43223d042 · outbound

This paper cites Finite-time analysis of minimax q-learning,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Finite-time analysis of minimax q-learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.366367Z

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.

Observation 96294713-c3ab-418d-b8da-d845c07c2083 · outbound

This paper cites an unresolved cited work.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T15:13:15.209374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27467039-42e7-4caa-ade1-00109a23c92c · outbound

This paper cites Maximum Entropy Deep Inverse Reinforcement Learning.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Maximum Entropy Deep Inverse Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T15:13:15.213916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afca8b99-fcef-49ef-a65d-5bdcdd1f49cb · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.342317Z

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.

Observation 8eabc8ae-42cd-429b-88f3-0f6c8b8e939c · outbound

This paper cites Maximum entropy inverse reinforcement learning.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Maximum entropy inverse reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.326437Z

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.

Observation b482b848-1b1a-4f12-b81d-2e0ee8e84274 · outbound

This paper cites Combining reinforcement learning with model predictive control for on-ramp merging,.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Combining reinforcement learning with model predictive control for on-ramp merging,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:13:15.312291Z

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.

Observation 1e1a90bf-4b0e-48d9-b873-a05b28b54b90 · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T15:13:15.231784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f5b187-3dc7-4477-806e-2c65d27feddb · outbound

This paper cites Rudin,Principles of Mathematical Analysis, 3rd ed.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning Rudin,Principles of Mathematical Analysis, 3rd ed

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T15:13:15.236381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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