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Paper Citation Record · LEDGER

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning

As of 22 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.15674.

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

pith.paper-citation-record.v1
2607.15674 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:39:17.308965Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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Outbound references

Observation 406d4a85-8c7e-4c16-879e-51e29aa98d11 · outbound

This paper cites Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Rein- forcement Learning,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Rein- forcement Learning,

Reference 1

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Observation 346a9da8-0646-42a7-9db0-ad17ed7b8902 · outbound

This paper cites Decentralized structural-rnn for robot crowd navigation with deep reinforcement learning,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Decentralized structural-rnn for robot crowd navigation with deep reinforcement learning,

Reference 2

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source=pdf_text observed=2026-08-01T22:39:13.805482Z digest=sha256:4a93315449489141bd7bf4a468df5404e6c250ee50dc240ecdb155b7b6dedf40

Observation 7b5f3a23-008c-4d6a-8e36-bbe9696bb12e · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning RT-1: Robotics Transformer for Real-World Control at Scale

Reference 3

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source=pdf_text observed=2026-08-01T22:39:13.959598Z digest=sha256:137dc79e540c5c12b78ef71341551fab532884c21839df5ebb2f6f25fe06223a

Observation fe713ed1-ffef-429d-b459-8fd48a6a4dc2 · outbound

This paper cites Rt- 2: Vision-language-action models transfer web knowledge to robotic control,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Rt- 2: Vision-language-action models transfer web knowledge to robotic control,

Reference 4

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source=pdf_text observed=2026-08-01T22:39:14.022116Z digest=sha256:89ebe5a9ad7c4177b1d2a54ace5408b1b138b0e761de29ac5077750daef792e2

Observation 899dc4f4-9fbb-497f-a463-ef24762f5313 · outbound

This paper cites Safevla: Towards safety alignment of vision-language-action model via constrained learning,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Safevla: Towards safety alignment of vision-language-action model via constrained learning,

Reference 5

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source=pdf_text observed=2026-08-01T22:39:14.146100Z digest=sha256:da02a0ad263364623f7568f3b6591543688abb3378fe37f91ab4b1b53798c539

Observation 2daad173-b354-4aa5-b7be-8781e82352ea · outbound

This paper cites Improving pre-trained vision-language-action policies with model- based search,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Improving pre-trained vision-language-action policies with model- based search,

Reference 6

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source=pdf_text observed=2026-08-01T22:39:14.257329Z digest=sha256:ce85eb9cd6bfb4d5cbe02b8c156669a8e85d123a5d62b2d86299378a208baf9d

Observation 83051fd7-47b2-4ffa-9ebd-5ccc57df31cf · outbound

This paper cites A survey of behavior trees in robotics and ai,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning A survey of behavior trees in robotics and ai,

Reference 7

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source=pdf_text observed=2026-08-01T22:39:14.425180Z digest=sha256:c1626470cd39e348c25749918530d8e0800cfd869c1f12b9f321e9b1795eb8f1

Observation 7593f2ed-d144-4c5d-9ef0-849e536c4a7c · outbound

This paper cites Learning behavior trees with genetic programming in unpredictable environments,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Learning behavior trees with genetic programming in unpredictable environments,

Reference 8

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source=pdf_text observed=2026-08-01T22:39:14.608075Z digest=sha256:b31400e5b1bb9843c181fdd90ed942211378872ce12e17d2ea7bef961c59fcc0

Observation a523da99-2501-47b8-ada9-a595602d7815 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Do as i can, not as i say: Grounding language in robotic affordances,

Reference 9

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source=pdf_text observed=2026-08-01T22:39:14.768443Z digest=sha256:416abc7047e8e5f144a07f75c7b0b3d0044a1c3ca08f668dfb22d230bf60593e

Observation 25f2da1c-dd46-47e6-a95e-72ac7d6d1e6e · outbound

This paper cites Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning,

Reference 10

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source=pdf_text observed=2026-08-01T22:39:14.928559Z digest=sha256:449951c9ea0ec4bdb79f0748483a5bb52617e1b9899cfa1eb7bbda6c23af9a75

Observation 35dceca6-70a9-41a9-9b97-f5597edebcbf · outbound

This paper cites Llm-brain: Ai-driven fast generation of robot behaviour tree based on large language model,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Llm-brain: Ai-driven fast generation of robot behaviour tree based on large language model,

Reference 11

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Observation 7240a427-f1c3-4a8a-86db-56a9acf07a58 · outbound

This paper cites BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs,

Reference 12

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source=pdf_text observed=2026-08-01T22:39:15.211144Z digest=sha256:adf696c6742bbb06ed09bd03f0bb28134d1d968fd25b55dfdde70f820df8bf5d

Observation bac413ad-1166-4ebd-bd37-78bc07eac5cb · outbound

This paper cites LLM-BT: Performing Robotic Adaptive Tasks based on Large Language Models and Behav- ior Trees,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning LLM-BT: Performing Robotic Adaptive Tasks based on Large Language Models and Behav- ior Trees,

Reference 13

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source=pdf_text observed=2026-08-01T22:39:15.268766Z digest=sha256:3dcc0309f6145274dc4a7be04eaee6eba76d98404e467a3be9732c20bf0df4fd

Observation e17849e8-f75b-496b-9e4c-cbe31d5dc284 · outbound

This paper cites On the implementation of behaviour trees in robotics,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning On the implementation of behaviour trees in robotics,

Reference 14

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source=pdf_text observed=2026-08-01T22:39:15.389467Z digest=sha256:7d78a02169afdfab7861fccf63b8f5163e955513c7934cf5c3ea926283d1413a

Observation 6a3b868a-b164-418d-909f-a6316b41927c · outbound

This paper cites ROS Topics: Capabilities [ROS Topics],.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning ROS Topics: Capabilities [ROS Topics],

Reference 15

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source=pdf_text observed=2026-08-01T22:39:15.464105Z digest=sha256:132da97d5f937f03d718e2a9a60fbe8303216066d4b65df47351df14e04d9c51

Observation 208082df-4746-4c7e-ae6b-20aacb92e7da · outbound

This paper cites Capabilities2 for ROS2: Advanced Skill-Based Control for Human- Robot Interaction,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Capabilities2 for ROS2: Advanced Skill-Based Control for Human- Robot Interaction,

Reference 16

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Observation 54ecca0d-fba2-43a5-b9df-35cf3a5c5e32 · outbound

This paper cites Comparison between behavior trees and finite state ma- chines,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Comparison between behavior trees and finite state ma- chines,

Reference 17

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source=pdf_text observed=2026-08-01T22:39:15.626621Z digest=sha256:69728abf62ec0e5422beb1a4246c3ea967e2d21460f75def8aa19e092d5db0ba

Observation 7db79b82-2103-450b-852e-4c8582683175 · outbound

This paper cites ROS 2-Based Flexible Behavior Engine for Flexible Navigation,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning ROS 2-Based Flexible Behavior Engine for Flexible Navigation,

Reference 18

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source=pdf_text observed=2026-08-01T22:39:15.698909Z digest=sha256:68529aec402421c4f205a09a6c2318b8690ea012ce3991ecf80ded3b1b4ab84e

Observation bbaa7e01-8e65-4329-ae66-c9808a32f1ca · outbound

This paper cites Yasmin: Yet another state machine library for ros 2,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Yasmin: Yet another state machine library for ros 2,

Reference 19

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Observation 148105e4-4310-4d4b-9fa8-3ab8f9ff4b78 · outbound

This paper cites Code as Policies: Language Model Programs for Embodied Control.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Code as Policies: Language Model Programs for Embodied Control

Reference 20

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source=pdf_text observed=2026-08-01T22:39:15.922685Z digest=sha256:efdc2a211e3eae0e31b153c8c3290d68b3533e980fe79a83e929bbce7986d298

Observation d6aa5a34-b1d8-477d-909a-26d81715e6d9 · outbound

This paper cites Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance,

Reference 21

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Observation 60f13c5d-485d-423d-b13c-e4370dbf9692 · outbound

This paper cites Au- tomatic behavior tree expansion with llms for robotic manipulation,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Au- tomatic behavior tree expansion with llms for robotic manipulation,

Reference 22

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source=pdf_text observed=2026-08-01T22:39:16.217884Z digest=sha256:a68793622916e9f0f76595719bd56c2dfe9d5bbb967f34b350d6f1991c9cad98

Observation ed83f3b1-a262-4452-99c8-f65360690455 · outbound

This paper cites Llm-as-bt-planner: Leveraging llms for behavior tree generation in robot task planning,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Llm-as-bt-planner: Leveraging llms for behavior tree generation in robot task planning,

Reference 23

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source=pdf_text observed=2026-08-01T22:39:16.367550Z digest=sha256:cc033aa2e7763d5ab49e72281fcacd2e8b92ab61be4d4f872d5532a76b9377f5

Observation acccddce-00f5-4576-b302-0a1d9e088f43 · outbound

This paper cites VLM-driven Behavior Tree for Context-aware Task Planning,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning VLM-driven Behavior Tree for Context-aware Task Planning,

Reference 24

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source=pdf_text observed=2026-08-01T22:39:16.533513Z digest=sha256:6b67f4f823207ae99b3bdc0b57d83e15083f8b9f45c62b9883d2b4cc357be59f

Observation db6a34df-2756-49ea-be9a-aee57f16ae95 · outbound

This paper cites Look before you leap: Using seri- alized state machine for language conditioned robotic manipulation,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Look before you leap: Using seri- alized state machine for language conditioned robotic manipulation,

Reference 25

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source=pdf_text observed=2026-08-01T22:39:16.849427Z digest=sha256:cbf34bf02e11313c8d927e225487a656e127d78a1c2567c283f8294dffed31d0

Observation a1b6dc99-32c9-414d-aa7c-1eb33bcbbd46 · outbound

This paper cites Unleashing the power of llm to infer state machine from the protocol implementation,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Unleashing the power of llm to infer state machine from the protocol implementation,

Reference 26

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source=pdf_text observed=2026-08-01T22:39:17.015793Z digest=sha256:9f4b3c040d2ed0b3f0003118f570903a3236312726a197cf5b6243285e175dcc

Observation 42874eb6-adbe-47e9-87b3-1ccb70313977 · outbound

This paper cites Can Large Language Models Help Developers with Robotic Finite State Machine Modification?.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Can Large Language Models Help Developers with Robotic Finite State Machine Modification?

Reference 27

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source=pdf_text observed=2026-08-01T22:39:17.160688Z digest=sha256:df85c053187ed93ccc9cdcd2421594f58be2008b5314bbba3aed3bdbbb2c738b

Observation ec69861a-5ad1-4ad7-af21-abb8d49e1c06 · outbound

This paper cites Behavior trees and state machines in robotics applications,.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning Behavior trees and state machines in robotics applications,

Reference 28

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source=pdf_text observed=2026-08-01T22:39:17.308965Z digest=sha256:cc29d60027842e39777121c83378cf465fbe8585ace486e6b43027f2b3f28c6a

Observation 9bcc3adf-975d-4480-90db-ba83724652bf · outbound

This paper cites VLM-driven Behavior Tree for Context-aware Task Planning.

A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning VLM-driven Behavior Tree for Context-aware Task Planning

Reference 2025

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source=pdf_text observed=2026-08-01T22:39:16.676984Z digest=sha256:d0d8d4745c3668a906bde9cb1d4fd5d60c8147c55d932957750adee2a7b24d97

Pith citing papers

No inbound Pith citation observations are available.