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Paper Citation Record · LEDGER

Map Prediction and Generative Entropy for Multi-Agent Exploration

As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2501.13189.

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

pith.paper-citation-record.v1
2501.13189 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:25:31.926646Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved8
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc66d74c-de59-4087-a109-49f99107f7c3 · outbound

This paper cites Super odometry: Imu-centric lidar-visual-inertial estimator for challenging environments,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Super odometry: Imu-centric lidar-visual-inertial estimator for challenging environments,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.995982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dbde5c51-f79b-47e9-a42c-bac34d8b8af1 · outbound

This paper cites CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge.

Map Prediction and Generative Entropy for Multi-Agent Exploration CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T16:25:31.637728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation baa13b40-3a9d-4943-9d28-2b57aab5d62a · outbound

This paper cites Hydra-multi: Collabo- rative online construction of 3d scene graphs with multi-robot teams,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Hydra-multi: Collabo- rative online construction of 3d scene graphs with multi-robot teams,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cf25484d-72e3-43a6-9916-b6e08bc2b1f5 · outbound

This paper cites Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T16:25:31.676097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:25:31.676097Z digest=sha256:e21420440c5b78e4ec2b36f2b6984c5a9095a69510f59e9bbdd8309177d2c361

Observation e6660c41-167a-4333-b3a7-0da97878ebf7 · outbound

This paper cites Experimental comparison of decentralized task allocation algorithms under imperfect communication,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Experimental comparison of decentralized task allocation algorithms under imperfect communication,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.913018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 54a5d35e-60aa-40a9-9a26-77c862ad5da4 · outbound

This paper cites Bid prediction for multi-robot exploration with disrupted communi- cations,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Bid prediction for multi-robot exploration with disrupted communi- cations,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.876637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5fef567c-f103-4cf3-a85f-294c5ac68ff4 · outbound

This paper cites On mutual information- based control of range sensing robots for mapping applications,.

Map Prediction and Generative Entropy for Multi-Agent Exploration On mutual information- based control of range sensing robots for mapping applications,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.851671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f21e69bd-e215-4fd6-94c5-878491a08ffe · outbound

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

Map Prediction and Generative Entropy for Multi-Agent Exploration Information-theoretic mapping using cauchy-schwarz quadratic mutual information,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fb0df1a9-a238-4ac4-9cdd-4e3deae1c2f6 · outbound

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

Map Prediction and Generative Entropy for Multi-Agent Exploration An efficient and continuous approach to information-theoretic exploration,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.789080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 252249b4-b54e-4b16-ab49-3e16fabafc31 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Map Prediction and Generative Entropy for Multi-Agent Exploration High-resolution image synthesis with latent diffusion models,

Reference 10

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no resolver link, observed 2026-08-10T16:25:31.743457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0793c086-e262-4ef2-83d6-989a1c7db651 · outbound

This paper cites Repaint: Inpainting using denoising diffusion prob- abilistic models,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Repaint: Inpainting using denoising diffusion prob- abilistic models,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.743174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cfbf51bb-34bd-4b53-b726-487064382a2c · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

Map Prediction and Generative Entropy for Multi-Agent Exploration Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T16:25:31.769691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:25:31.769691Z digest=sha256:d590799349ca4568f544107cd6d3b5142585e484d356255c57fa8f46d900cce1

Observation b289f782-0c82-4b01-8e10-6a054d871ab7 · outbound

This paper cites Occupancy map inpainting for online robot navigation,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Occupancy map inpainting for online robot navigation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.714463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 59dc02b7-0329-4928-8839-2887b0288f7b · outbound

This paper cites Proxmap: Proximal occu- pancy map prediction for efficient indoor robot navigation,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Proxmap: Proximal occu- pancy map prediction for efficient indoor robot navigation,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.679635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cd617cab-0807-4001-99ad-a0ad0e84794a · outbound

This paper cites High-speed robot navigation using predicted occupancy maps,.

Map Prediction and Generative Entropy for Multi-Agent Exploration High-speed robot navigation using predicted occupancy maps,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.644167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9cb4d616-c576-4a9a-85ae-71a9b94b0e23 · outbound

This paper cites Seeing what a gan cannot generate,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Seeing what a gan cannot generate,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.576974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d4f977ea-497c-487b-a079-6874ded1c7f8 · outbound

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

Map Prediction and Generative Entropy for Multi-Agent Exploration Learned map prediction for enhanced mobile robot exploration,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.524693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 28900b25-a6d0-48af-8c78-af0621c247ec · outbound

This paper cites Improving the efficiency of a decentralized tasking algorithm for uav teams with asynchronous communications,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Improving the efficiency of a decentralized tasking algorithm for uav teams with asynchronous communications,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.486326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8f7053ad-ae7d-4dd1-a452-757a8bf6b493 · outbound

This paper cites Deep learning for image inpainting: A survey,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Deep learning for image inpainting: A survey,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.443626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6a3b55f9-c343-42fe-afbd-2356db7be4b4 · outbound

This paper cites Resolution-robust Large Mask Inpainting with Fourier Convolutions.

Map Prediction and Generative Entropy for Multi-Agent Exploration Resolution-robust Large Mask Inpainting with Fourier Convolutions

Reference 20

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unresolved
no resolver link, observed 2026-08-10T16:25:31.875000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ef8e40ee-a5b5-4b0c-8440-61bc3dda2ce5 · outbound

This paper cites Fast fourier convolution,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Fast fourier convolution,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.413289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T16:25:31.884658Z digest=sha256:a0bd104ac8111bd40e88ec8eca114c56d2847a0819f909ebafd5736b0935b44e

Observation 7b80d7c6-f711-4059-b857-35483e230c4e · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Map Prediction and Generative Entropy for Multi-Agent Exploration Denoising Diffusion Probabilistic Models

Reference 22

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no resolver link, observed 2026-08-10T16:25:31.898001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f466f449-bb1d-416d-b45c-9a9514c5e864 · outbound

This paper cites Diffusers: State-of-the-art diffusion models.

Map Prediction and Generative Entropy for Multi-Agent Exploration Diffusers: State-of-the-art diffusion models

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.372052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7fe795c2-d7ac-46df-9a0b-b4cc75cad3c0 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Map Prediction and Generative Entropy for Multi-Agent Exploration The unreasonable effectiveness of deep features as a perceptual metric,

Reference 24

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unresolved
no resolver link, observed 2026-08-10T16:25:31.909150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2f4f4495-fcb6-4b13-a0fb-66c6451e3544 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T16:25:31.914253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:25:31.914253Z digest=sha256:4e17cc73a4072d252d7b8b9eb5db33ace93cf962f8d50eef9bd89060871cc227

Observation 682ba134-93b6-48d4-beac-e3b08525cda2 · outbound

This paper cites Consensus-based decentralized auctions for robust task allocation,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Consensus-based decentralized auctions for robust task allocation,

Reference 26

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raw_fallback, observed 2026-08-10T16:25:32.242843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0aa82ad7-0969-4a75-98ec-096839123b7b · outbound

This paper cites Scene graph prediction with limited labels,.

Map Prediction and Generative Entropy for Multi-Agent Exploration Scene graph prediction with limited labels,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-10T16:25:32.196402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

No inbound Pith citation observations are available.