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Paper Citation Record · LEDGER

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2606.25504.

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

pith.paper-citation-record.v1
2606.25504 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T21:22:43.955548Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

31 of 31 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved28
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eba1a7be-e7b2-43e3-83b5-dfa2057e0ac3 · outbound

This paper cites Soc- NavBench: A grounded simulation testing framework for evaluating social navigation,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Soc- NavBench: A grounded simulation testing framework for evaluating social navigation,

Reference 1

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Observation a6034d6f-0e09-4b1b-8d39-ef94da71e112 · outbound

This paper cites SOCIALGYM 2.0: Simulator for multi-robot learning and navigation in shared human spaces,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation SOCIALGYM 2.0: Simulator for multi-robot learning and navigation in shared human spaces,

Reference 2

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Observation ea3d1412-b942-4e8e-9bc4-34f70b8b747c · outbound

This paper cites SEAN 2.0: Formalizing and generating social situations for robot navigation,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation SEAN 2.0: Formalizing and generating social situations for robot navigation,

Reference 3

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Observation a1fa3bd4-b328-4211-930f-d9007784a69b · outbound

This paper cites Demonstrating Arena 5.0: A Photorealistic ROS2 Simulation Framework for Developing and Benchmarking Social Navigation,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Demonstrating Arena 5.0: A Photorealistic ROS2 Simulation Framework for Developing and Benchmarking Social Navigation,

Reference 4

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Observation 8e86c08e-ca6c-4357-b859-7a69ef876438 · outbound

This paper cites HuNavSim 2.0: An extended ROS 2 human navigation simulator,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation HuNavSim 2.0: An extended ROS 2 human navigation simulator,

Reference 5

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Observation 3b79b36e-8f14-467f-ad55-3917fea34a94 · outbound

This paper cites HuNavSim 2.0: An Enhanced Human Navigation Simulator for Human-Aware Robot Navigation.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation HuNavSim 2.0: An Enhanced Human Navigation Simulator for Human-Aware Robot Navigation

Reference 6

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arxiv_id, observed 2026-07-04T19:30:06.809940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation cb516c2e-3330-4672-9c30-6c7c7d0c89f5 · outbound

This paper cites Text-guided synthesis of crowd animation,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Text-guided synthesis of crowd animation,

Reference 7

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Observation 217f47e6-99f6-4e83-87b7-d99a6c6b5049 · outbound

This paper cites Trace and pace: Controllable pedestrian animation via guided trajectory diffusion,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Trace and pace: Controllable pedestrian animation via guided trajectory diffusion,

Reference 8

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Observation 2476c3f8-b77e-4ddb-af91-6a41cc2f1a0d · outbound

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

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Human motion trajectory prediction: A survey,

Reference 9

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Observation b4bc044b-ce16-416f-acc2-ecb48a85ecbb · outbound

This paper cites Evaluation of socially-aware robot navigation,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Evaluation of socially-aware robot navigation,

Reference 10

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Observation c057377e-b340-4516-8379-a607d2d72b72 · outbound

This paper cites Social force models for pedestrian traffic – state of the art,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Social force models for pedestrian traffic – state of the art,

Reference 11

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Observation 4ccd861c-da75-46e3-a7d8-375bba2e2b53 · outbound

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

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Social force model for pedestrian dynam- ics,

Reference 12

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Observation c6b8c169-a454-4cc4-8c8f-0a9c2f50bd99 · outbound

This paper cites The walking behaviour of pedestrian social groups and its impact on crowd dynamics,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation The walking behaviour of pedestrian social groups and its impact on crowd dynamics,

Reference 13

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Observation 17d13e03-a539-48d9-b0be-c44bbc5aab71 · outbound

This paper cites Social physics informed diffusion model for crowd simulation,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Social physics informed diffusion model for crowd simulation,

Reference 14

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Observation 3da4b3fd-ca84-4a87-a613-31b6aaf7db61 · outbound

This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: A survey,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Sim-to-real transfer in deep reinforcement learning for robotics: A survey,

Reference 15

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Observation 4866fd4e-ad80-47b2-97fd-4ab27e38907f · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 16

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local_arxiv, observed 2026-07-04T19:30:06.815844Z

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Observation d1551d9d-c44d-4079-965c-6be33a290d3f · outbound

This paper cites Qwen3 Technical Report.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Qwen3 Technical Report

Reference 17

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local_arxiv, observed 2026-07-04T19:30:06.813092Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2c60dc94-67e4-4370-9b19-d4ad30b062da · outbound

This paper cites Pedes- trian intention and trajectory prediction in unstructured traffic using idd-ped,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Pedes- trian intention and trajectory prediction in unstructured traffic using idd-ped,

Reference 18

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Observation 154b17a0-8004-454e-9bd8-f85e63441a6e · outbound

This paper cites Learning better representa- tions for crowded pedestrians in offboard lidar-camera 3d tracking-by- detection,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Learning better representa- tions for crowded pedestrians in offboard lidar-camera 3d tracking-by- detection,

Reference 19

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Observation 7a8f566d-4fe3-43ba-88d3-913e8f650bb0 · outbound

This paper cites Physgcn-dl: Physics-informed graph convolutional networks with diversity-aware loss optimization for multimodal pedestrian trajectory prediction,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Physgcn-dl: Physics-informed graph convolutional networks with diversity-aware loss optimization for multimodal pedestrian trajectory prediction,

Reference 20

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Observation 66f1e55e-88fb-4bce-bb93-03cb22d79291 · outbound

This paper cites Visual-linguistic reasoning for pedes- trian trajectory prediction,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Visual-linguistic reasoning for pedes- trian trajectory prediction,

Reference 21

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Observation 875b1395-35ca-4e07-a240-86b26e792c55 · outbound

This paper cites Learning crowd behavior from real data: A residual network method for crowd simulation,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Learning crowd behavior from real data: A residual network method for crowd simulation,

Reference 22

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Observation b309840a-408c-4f09-8e1a-b1505d1f52ee · outbound

This paper cites Learning to generate diverse pedestrian movements from web videos with noisy labels,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Learning to generate diverse pedestrian movements from web videos with noisy labels,

Reference 23

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Observation b1c3a159-6034-40ec-91ff-3a9bf85e3f40 · outbound

This paper cites Continuous locomotive crowd behavior generation,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Continuous locomotive crowd behavior generation,

Reference 24

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Observation dc910135-2873-4007-a358-984b1117c9eb · outbound

This paper cites Efficient crowd simulation in complex environment using deep reinforcement learning,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Efficient crowd simulation in complex environment using deep reinforcement learning,

Reference 25

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Observation 4789181e-0e94-4d8c-b3a3-dca8f58bd6b4 · outbound

This paper cites Learning to simulate crowd trajectories with graph networks,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Learning to simulate crowd trajectories with graph networks,

Reference 26

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Observation 9bcb362c-c8ac-4eff-aad6-1a715847cc57 · outbound

This paper cites GenSim: Generating robotic simulation tasks via large language models,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation GenSim: Generating robotic simulation tasks via large language models,

Reference 27

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Observation 24ec4c82-cb65-4711-a064-92cadd4ffec0 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation nuscenes: A multimodal dataset for autonomous driving,

Reference 28

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Observation f8b0e58f-a698-481a-9baa-4cc8c3686fee · outbound

This paper cites Theta*: Any-angle path planning on grids,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Theta*: Any-angle path planning on grids,

Reference 29

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Observation e07cdccd-5105-49d9-85ba-677be9149a68 · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation A formal basis for the heuristic determination of minimum cost paths,

Reference 30

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Observation b486827c-44ad-41a5-95a8-dc985f6783fb · outbound

This paper cites Sceneeval: Evaluating semantic coherence in text-conditioned 3d indoor scene synthesis,.

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation Sceneeval: Evaluating semantic coherence in text-conditioned 3d indoor scene synthesis,

Reference 31

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Pith citing papers

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