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Paper Citation Record · LEDGER

An Active Perception Game for Robust Exploration

As of 6 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2404.00769.

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

pith.paper-citation-record.v1
2404.00769 v5

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T02:04:56.923172Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

42 of 42 outbound references displayed

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  • verified fuzzy31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67cd9841-1fb7-4acb-9618-3321699c4443 · outbound

This paper cites A survey on active simultaneous localization and mapping: State of the art and new frontiers.

An Active Perception Game for Robust Exploration A survey on active simultaneous localization and mapping: State of the art and new frontiers

Reference 1

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Observation e850f469-8a41-4de0-9e5e-eaee9cc094a3 · outbound

This paper cites View planning in robot active vision: A survey of systems, algorithms, and applications.

An Active Perception Game for Robust Exploration View planning in robot active vision: A survey of systems, algorithms, and applications

Reference 2

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0c85acc9-ef61-460a-87ce-5746f864dd0a · outbound

This paper cites Active perception.

An Active Perception Game for Robust Exploration Active perception

Reference 3

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Observation c7331c09-86a4-40e2-94cc-f7651ef014a5 · outbound

This paper cites Revisiting active perception.

An Active Perception Game for Robust Exploration Revisiting active perception

Reference 4

Resolution
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Observation 0b3a6183-6244-4f64-b68b-bc6a2ad62e88 · outbound

This paper cites Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies.

An Active Perception Game for Robust Exploration Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies

Reference 5

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Observation 3bb1a1bf-b792-4587-9b83-da3299469f66 · outbound

This paper cites Nonmyopic active learning of gaussian processes: an exploration-exploitation approach.

An Active Perception Game for Robust Exploration Nonmyopic active learning of gaussian processes: an exploration-exploitation approach

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 2bcf8499-f00f-4d31-869e-ded6545e96df · outbound

This paper cites Efficient informative sensing using multiple robots.

An Active Perception Game for Robust Exploration Efficient informative sensing using multiple robots

Reference 7

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Source-reported events for the cited work

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Observation 0ffd54c8-d396-43ae-8855-5d6541cb3205 · outbound

This paper cites Branch and bound for informative path planning.

An Active Perception Game for Robust Exploration Branch and bound for informative path planning

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1a1bf3b7-1c93-4ce4-920b-af424cae929d · outbound

This paper cites Robotic active information gathering for spatial field reconstruction with rapidly-exploring random trees and online learning of gaussian processes.

An Active Perception Game for Robust Exploration Robotic active information gathering for spatial field reconstruction with rapidly-exploring random trees and online learning of gaussian processes

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0774dee2-89ac-4179-a19b-92e153b5ad96 · outbound

This paper cites Available: https://www.mdpi.com/1424-8220/19/5/1016.

An Active Perception Game for Robust Exploration Available: https://www.mdpi.com/1424-8220/19/5/1016

Reference 10

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Source-reported events for the cited work

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Observation ac86f121-0a6f-417b-9ba1-e03d888be3b5 · outbound

This paper cites The determination of next best views.

An Active Perception Game for Robust Exploration The determination of next best views

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 6edd39b5-3b72-4e0e-95bf-ee21a3ef4ed0 · outbound

This paper cites Receding horizon.

An Active Perception Game for Robust Exploration Receding horizon

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4892a3fa-d70a-44e6-a4b9-b9955b9e76f1 · outbound

This paper cites Yoder and S.

An Active Perception Game for Robust Exploration Yoder and S

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4357b86b-3feb-480f-9a89-aee8f6419b27 · outbound

This paper cites Surface edge explorer (see): Planning next best views directly from 3d observations.

An Active Perception Game for Robust Exploration Surface edge explorer (see): Planning next best views directly from 3d observations

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5685fb62-4e3c-4c5f-9f0a-6989a87a3a1f · outbound

This paper cites An efficient sampling-based method for online informative path planning in unknown environments.

An Active Perception Game for Robust Exploration An efficient sampling-based method for online informative path planning in unknown environments

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation bceacf7e-5764-4401-a4c4-92388abb2bde · outbound

This paper cites Fsmi: Fast computa- tion of shannon mutual information for information-theoretic mapping.

An Active Perception Game for Robust Exploration Fsmi: Fast computa- tion of shannon mutual information for information-theoretic mapping

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4dfe1a05-9422-413f-b694-49c6ce540bc9 · outbound

This paper cites Information-theoretic mapping using cauchy-schwarz quadratic mutual information.

An Active Perception Game for Robust Exploration Information-theoretic mapping using cauchy-schwarz quadratic mutual information

Reference 17

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Source-reported events for the cited work

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Observation adfcb6a9-38df-4107-8399-a9b892ab8353 · outbound

This paper cites An efficient and continuous approach to information-theoretic exploration.

An Active Perception Game for Robust Exploration An efficient and continuous approach to information-theoretic exploration

Reference 18

Resolution
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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b767b4e8-179e-4d69-8de7-35e7de46d46a · outbound

This paper cites Learned map prediction for enhanced mobile robot exploration.

An Active Perception Game for Robust Exploration Learned map prediction for enhanced mobile robot exploration

Reference 19

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Observation 718b75a6-655d-4672-9654-c253af4d94d1 · outbound

This paper cites Learning to explore indoor environments using autonomous micro aerial vehicles.

An Active Perception Game for Robust Exploration Learning to explore indoor environments using autonomous micro aerial vehicles

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a9eb487f-fcbf-449d-bfa8-11b5c950a854 · outbound

This paper cites Seer: Safe efficient exploration for aerial robots using learning to predict information gain.

An Active Perception Game for Robust Exploration Seer: Safe efficient exploration for aerial robots using learning to predict information gain

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation cccd80b1-c87c-4f04-8998-24fb21cb61e8 · outbound

This paper cites Learning to Map for Active Semantic Goal Navigation.

An Active Perception Game for Robust Exploration Learning to Map for Active Semantic Goal Navigation

Reference 22

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 95fa6a94-2136-4585-b3d4-0a5204045125 · outbound

This paper cites Active perception using neural radiance fields.

An Active Perception Game for Robust Exploration Active perception using neural radiance fields

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4a624285-40d2-4a1a-8572-f66423a5b82e · outbound

This paper cites 3d active metric-semantic slam.

An Active Perception Game for Robust Exploration 3d active metric-semantic slam

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7e073dbf-7a3c-48d0-a1a3-0a5c8cd5a955 · outbound

This paper cites Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments.

An Active Perception Game for Robust Exploration Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4965f1a7-21bf-4094-ab04-9caf6b2ba591 · outbound

This paper cites Semantic octree mapping and shannon mutual information computation for robot exploration.

An Active Perception Game for Robust Exploration Semantic octree mapping and shannon mutual information computation for robot exploration

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f08abb69-d547-466d-95d3-142b05548960 · outbound

This paper cites RT-GuIDE: Real- Time Gaussian splatting for Information-Driven Exploration.

An Active Perception Game for Robust Exploration RT-GuIDE: Real- Time Gaussian splatting for Information-Driven Exploration

Reference 27

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arxiv_id, observed 2026-05-24T02:05:55.126944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d4153310-5c31-43e6-a581-08d64c63f61c · outbound

This paper cites Learning to Act by Predicting the Future.

An Active Perception Game for Robust Exploration Learning to Act by Predicting the Future

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b9936c10-c42d-4a05-b35e-6947b6a3b008 · outbound

This paper cites Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning.

An Active Perception Game for Robust Exploration Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0e951b12-e946-4533-864b-89f6903f4e7a · outbound

This paper cites Learning to Explore using Active Neural SLAM.

An Active Perception Game for Robust Exploration Learning to Explore using Active Neural SLAM

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:05:55.121368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9258a3e5-ac7e-49bc-81c1-1b67ad67d09b · outbound

This paper cites Lecture notes: Bandits, experts and games (lecture 8).

An Active Perception Game for Robust Exploration Lecture notes: Bandits, experts and games (lecture 8)

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation abb4d397-000b-47f1-9d5e-bd40ecc97e01 · outbound

This paper cites NerfAcc: Efficient Sampling Accelerates NeRFs.

An Active Perception Game for Robust Exploration NerfAcc: Efficient Sampling Accelerates NeRFs

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:05:55.132330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6e2e1b52-62d9-4ce5-ac70-2d469391e54c · outbound

This paper cites Habitat: A platform for embodied ai research.

An Active Perception Game for Robust Exploration Habitat: A platform for embodied ai research

Reference 33

Resolution
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raw_fallback, observed 2026-05-24T02:05:55.259064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:04:56.923172Z digest=sha256:cf3db485fc5d20142762e0590ae156f00f4a9343d2a7ac58a5271c298ce574db

Observation 4140627b-dda1-47fd-a1be-22583d101e09 · outbound

This paper cites Habitat 2.0: Training home assistants to rearrange their habitat.

An Active Perception Game for Robust Exploration Habitat 2.0: Training home assistants to rearrange their habitat

Reference 34

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raw_fallback, observed 2026-05-24T02:05:55.283766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:04:56.923172Z digest=sha256:1a8656bcd4351cdea0b45fc219be8fb4b7e42639bc762b994cd2406d485a0f53

Observation ca5e7dca-446c-42be-9188-66e9ff96bc18 · outbound

This paper cites Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots.

An Active Perception Game for Robust Exploration Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:05:55.097341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:04:56.923172Z digest=sha256:e6c7ce936e5ee145b89051ec87c97260796ed4c9f6b6f588f1d1df4c98f2d971

Observation d5d1abba-1afe-4f49-b4c0-b148b722c366 · outbound

This paper cites RotorPy: A Python-based Multirotor Simulator with Aerodynamics for Education and Research.

An Active Perception Game for Robust Exploration RotorPy: A Python-based Multirotor Simulator with Aerodynamics for Education and Research

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:05:55.124916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:04:56.923172Z digest=sha256:bdf0ef86f2479615f3328a4acd1507678d229f1be1ce2ad475a4deff3fd7bd46

Observation ee49f974-3c00-4fc7-9e37-f20de1d76806 · outbound

This paper cites A frontier-based approach for autonomous exploration.

An Active Perception Game for Robust Exploration A frontier-based approach for autonomous exploration

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T02:05:55.248656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:04:56.923172Z digest=sha256:8acd0c71c8a4323e56d43e69f6e6f226609f21d4e227f270cd0e2034915779a8

Observation 0502f875-4890-4c2d-8379-7a5a01869ce5 · outbound

This paper cites M3ed: Multi-robot, multi-sensor, multi-environment event dataset.

An Active Perception Game for Robust Exploration M3ed: Multi-robot, multi-sensor, multi-environment event dataset

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T02:05:55.290423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:04:56.923172Z digest=sha256:f85f549bec80b01a5e4c1988adfbdbc084fadb5c3b8f4f40eef3b55e284236a3

Observation 1a41388a-5564-4a8f-a6e2-0445bd2b6608 · outbound

This paper cites Stronger together: Air-ground robotic collaboration using semantics.

An Active Perception Game for Robust Exploration Stronger together: Air-ground robotic collaboration using semantics

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T02:05:55.259334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:04:56.923172Z digest=sha256:90568be6a1dff5695265695432ba234201df70b8eb0b1ab3b3b818be52ed5978

Observation ea812978-fdc7-4757-97ba-0ebf28fa2d85 · outbound

This paper cites Faster-lio: Lightweight tightly coupled lidar-inertial odometry using parallel sparse incremental voxels.

An Active Perception Game for Robust Exploration Faster-lio: Lightweight tightly coupled lidar-inertial odometry using parallel sparse incremental voxels

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T02:05:55.274530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:04:56.923172Z digest=sha256:92f6c43e7e16fd3184fc87bd86b120fc88b51d5215cf2647eca266f7ab66b563

Observation 9e9c4ce9-8b64-479d-89d8-b075b2980ec3 · outbound

This paper cites Marder-Eppstein.

An Active Perception Game for Robust Exploration Marder-Eppstein

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T02:05:55.185092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:04:56.923172Z digest=sha256:232a44ae258018a3ecd6b6e3bd3a9e28e9d294d4729aaf185824bbda53bba651

Observation 7ed46b8b-74ed-4001-a35e-4134da51315e · outbound

This paper cites Learning in games (and games in learning).

An Active Perception Game for Robust Exploration Learning in games (and games in learning)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T02:05:55.238132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:04:56.923172Z digest=sha256:182523e15c14f6272f8cf2537cb0049cb288c95b1c116df360e33291005c6f10

Pith citing papers

No inbound Pith citation observations are available.