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Paper Citation Record · LEDGER

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2502.05792.

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

pith.paper-citation-record.v1
2502.05792 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:03:24.332034Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b25eadc-26cb-4335-9da7-12621680f2b2 · outbound

This paper cites Towards robots that influ- ence humans over long-term interaction,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Towards robots that influ- ence humans over long-term interaction,

Reference 1

Resolution
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Observation ce16f101-af5c-435b-a6be-ed10ee13da40 · outbound

This paper cites Human motion trajectory prediction: A survey,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Human motion trajectory prediction: A survey,

Reference 2

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Source-reported events for the cited work

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Observation 733f6a56-0741-4fda-b7e7-19d1657cdfdb · outbound

This paper cites Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches,

Reference 3

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Observation c14a709e-5c12-4ff0-8209-9553133eed94 · outbound

This paper cites A review of deep learning-based methods for pedestrian trajectory prediction,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions A review of deep learning-based methods for pedestrian trajectory prediction,

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bf851f32-7b58-4433-baa5-ec8e316934e3 · outbound

This paper cites How much does it help to know what she knows you know? an agent-based simulation study,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions How much does it help to know what she knows you know? an agent-based simulation study,

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0b4e564c-913d-4197-94bd-cb1d86d57e65 · outbound

This paper cites Higher-order theory of mind in the tacit communication game,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Higher-order theory of mind in the tacit communication game,

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 8f555968-b975-468f-abab-ee5d455c2e85 · outbound

This paper cites The minds of many: Opponent modeling in a stochastic game.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions The minds of many: Opponent modeling in a stochastic game

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d43f096b-b901-41a4-bb05-0ee26803f678 · outbound

This paper cites Modeling human plan recognition using bayesian theory of mind,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Modeling human plan recognition using bayesian theory of mind,

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 673dd79d-455a-48b7-998e-d0ac38b8e008 · outbound

This paper cites Machine theory of mind,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Machine theory of mind,

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c2747a72-83c9-4680-8a3f-0a3344514c51 · outbound

This paper cites Learning human rewards by inferring their latent intelligence levels in multi-agent games: A theory- of-mind approach with application to driving data,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Learning human rewards by inferring their latent intelligence levels in multi-agent games: A theory- of-mind approach with application to driving data,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0fd166cf-8789-44ac-a4e7-4daca2e29bf3 · outbound

This paper cites Knowing me, knowing you: theory of mind in ai,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Knowing me, knowing you: theory of mind in ai,

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0c3537e0-2bde-4e38-b910-a16c9970256e · outbound

This paper cites Leveraging neural network gradients within trajectory optimization for proactive human-robot interactions,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Leveraging neural network gradients within trajectory optimization for proactive human-robot interactions,

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 18f5775d-20e8-427a-aef2-c5685fa153f0 · outbound

This paper cites Safety assurances for human-robot interaction via confidence-aware game-theoretic human models,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Safety assurances for human-robot interaction via confidence-aware game-theoretic human models,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 76bd6aec-2dbc-4970-a4ac-a11fe3a30be9 · outbound

This paper cites Legible and Proactive Robot Planning for Prosocial Human-Robot Interactions.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Legible and Proactive Robot Planning for Prosocial Human-Robot Interactions

Reference 14

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Source-reported events for the cited work

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Observation 0c140b17-fde3-41f4-a0df-98e47cac2df7 · outbound

This paper cites Dynamically switching human prediction models for efficient planning,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Dynamically switching human prediction models for efficient planning,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e1627ca4-331a-4558-9a21-d4439ec52471 · outbound

This paper cites Towards model- ing and influencing the dynamics of human learning,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Towards model- ing and influencing the dynamics of human learning,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 41bfc21e-fbd1-4821-bb6a-379ca96c809b · outbound

This paper cites Learning latent representations to co-adapt to humans,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Learning latent representations to co-adapt to humans,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation aac51401-8d2c-4e8e-85ec-06096e472b2b · outbound

This paper cites Adaptive pedestrian agent model- ing for scenario-based testing of autonomous vehicles through behav- ior retargeting,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Adaptive pedestrian agent model- ing for scenario-based testing of autonomous vehicles through behav- ior retargeting,

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 37d99115-9672-402c-a37a-9dc548912ab2 · outbound

This paper cites Proactive opinion-driven robot navigation around human movers,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Proactive opinion-driven robot navigation around human movers,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d471d992-f5dc-49b8-908d-81c03c5961c6 · outbound

This paper cites Depth-based obsta- cle avoidance through deep reinforcement learning,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Depth-based obsta- cle avoidance through deep reinforcement learning,

Reference 20

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Source-reported events for the cited work

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Observation cdf508be-bbb3-47f5-8d90-f88088ea8e44 · outbound

This paper cites Learn to steer through deep reinforcement learning,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Learn to steer through deep reinforcement learning,

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e6fdb195-d0ad-425c-afa4-a41ce5379c69 · outbound

This paper cites Learn to navigate au- tonomously through deep reinforcement learning,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Learn to navigate au- tonomously through deep reinforcement learning,

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2e22b304-b404-4ad4-a16e-c7f45dfb98b5 · outbound

This paper cites Achieving real-time path planning in unknown environments through deep neural networks,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Achieving real-time path planning in unknown environments through deep neural networks,

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c611fa8d-5a08-4412-bb8d-a56623c5ab3f · outbound

This paper cites Bnd*-ddqn: Learn to steer autonomously through deep rein- forcement learning,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Bnd*-ddqn: Learn to steer autonomously through deep rein- forcement learning,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 35306031-bc46-460b-9596-682472aeae71 · outbound

This paper cites Tdpp-net: Achieving three-dimensional path planning via a deep neural network architec- ture,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Tdpp-net: Achieving three-dimensional path planning via a deep neural network architec- ture,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1dccb775-4c63-4038-bb71-a5c40003f198 · outbound

This paper cites Direct: A differential dy- namic programming based framework for trajectory generation,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Direct: A differential dy- namic programming based framework for trajectory generation,

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d8456dd0-910b-4137-b18f-bb073c4eee79 · outbound

This paper cites Social force model for pedestrian dynam- ics,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Social force model for pedestrian dynam- ics,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 847f2c1a-452d-4848-bc17-64c1272d9444 · outbound

This paper cites Tra- jectron++: Dynamically-feasible trajectory forecasting with heteroge- neous data,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Tra- jectron++: Dynamically-feasible trajectory forecasting with heteroge- neous data,

Reference 28

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 12116001-eff1-4854-959c-09854c7b0df4 · outbound

This paper cites Remember intentions: Retrospective-memory-based trajectory prediction,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Remember intentions: Retrospective-memory-based trajectory prediction,

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e1c3d413-3674-4eee-bef5-35651c0af52c · outbound

This paper cites Learning Dynamic Weight Adjustment for Spatial-Temporal Trajectory Planning in Crowd Navigation.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Learning Dynamic Weight Adjustment for Spatial-Temporal Trajectory Planning in Crowd Navigation

Reference 30

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 710e35bb-2e48-494f-b176-94c574159953 · outbound

This paper cites Multi-agent navigation in human-shared environments: A safe and socially-aware approach,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Multi-agent navigation in human-shared environments: A safe and socially-aware approach,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 29fb0ffa-da0c-4e4f-b82b-17949d18a323 · outbound

This paper cites Socially-aware reactive obstacle avoidance strategy based on limit cycle,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Socially-aware reactive obstacle avoidance strategy based on limit cycle,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e6530095-8bc7-4391-9270-50a3d8ac0daf · outbound

This paper cites Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-08T18:03:24.435136Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 33964d26-e044-41e4-9ae3-f3f7e49586f5 · outbound

This paper cites From crowd motion prediction to robot navigation in crowds,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions From crowd motion prediction to robot navigation in crowds,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-08T18:03:24.630387Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:03:24.172202Z digest=sha256:9a93c80a3de412bd7d72ad10e14d2d90c3aabbcacdf7611b99aa5f8ba5e72459

Observation ded7de18-48d8-4605-b083-d2fd9f37b0c0 · outbound

This paper cites Generalized nash equilibrium problems,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Generalized nash equilibrium problems,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:03:24.615667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:03:24.200275Z digest=sha256:d694088135c832c4eb31834281790978d7ef10a38bffa1dba490db429c36f13a

Observation ab8771e5-8d42-4516-9811-2da80d87c9d4 · outbound

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

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Efficient iterative linear-quadratic approximations for non- linear multi-player general-sum differential games,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:03:24.603769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:03:24.232572Z digest=sha256:4e57619b0e9e85f2e10d465e4b08983db8232185a6ec75a9d4794d0610429c73

Observation 61b50912-b05e-4a36-bed1-9a36b6af8c52 · outbound

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

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Lucidgames: Online unscented inverse dynamic games for adaptive trajectory prediction and planning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:03:24.576306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:03:24.263078Z digest=sha256:7c43613ab40b649f39c1e27fc2c10a64316f56dd7ac68f6eafc125a0bb7de387

Observation 2f165421-f524-408f-9ade-989c3b34ee63 · outbound

This paper cites Emergent coordination through game-induced nonlinear opinion dy- namics,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions Emergent coordination through game-induced nonlinear opinion dy- namics,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:03:24.537613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:03:24.301896Z digest=sha256:5e9ea910f49129382e3ac481e23ad9161a8e74380f5796f93411782dadb3dc84

Observation 3925d831-a1ea-4836-a6ba-8273d978aa9e · outbound

This paper cites The unscented kalman filter for nonlinear estimation,.

AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions The unscented kalman filter for nonlinear estimation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:03:24.504044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:03:24.332034Z digest=sha256:67fb68f815be5f012ea6e7975c8715580ab8ac0d05e4e68081579cb01a08c912

Pith citing papers

No inbound Pith citation observations are available.