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Paper Citation Record · LEDGER

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction

As of 22 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2412.12825.

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

pith.paper-citation-record.v1
2412.12825 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:45:12.787479Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 114df840-135b-430f-b99a-be65be78a114 · outbound

This paper cites Receding horizon.

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction Receding horizon

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:13.127607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.713348Z digest=sha256:08115db19168a91f2e1e72cb174e0095952b7044868f2ca9c5c380737d916405

Observation 61bc218c-9543-43cc-bf2a-1a939a1142c4 · outbound

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

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction On mutual information-based control of range sensing robots for mapping applications,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:13.098896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.719395Z digest=sha256:1d0b3f1ee056ca3785102f580fad0495e090f46953fd57bb2c24883c803989a3

Observation 5df8c14c-a8b2-47e3-a0aa-9e36bef8c109 · outbound

This paper cites Information-theoretic mapping using Cauchy-Schwarz quadratic mutual information,.

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction Information-theoretic mapping using Cauchy-Schwarz quadratic mutual information,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:13.078550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.724730Z digest=sha256:9b840b7648e774e51f6fbe3333102a270f9dbf1fd1655cd3c20f75efba8c93ac

Observation e3f93a77-389c-4139-a41d-e0db9ef51a4c · outbound

This paper cites FSMI: Fast computation of Shannon mutual information for information-theoretic mapping,.

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction FSMI: Fast computation of Shannon mutual information for information-theoretic mapping,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:13.053582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.730922Z digest=sha256:0e4fbe70a5879f38055a06d5d4597e5a87a77d615362a45e1e0a9c8368c8c722

Observation 372d329e-f4db-4352-a761-cf620818eb94 · outbound

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

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction Learned map prediction for enhanced mobile robot exploration,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:13.025321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.735927Z digest=sha256:31d240518605f0729045c6e607fbccc5fa09ca7a4d1a70605fbe3deb2f13944e

Observation c901c72c-9058-42e3-a2ba-30e1510c2c7b · outbound

This paper cites Occupancy anticipation for efficient exploration and navigation,.

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction Occupancy anticipation for efficient exploration and navigation,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:13.003724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.742426Z digest=sha256:06bc2d7d368a12782ca1feee8acd5450583597b1d1a7afac609e74b4bf4aa739

Observation 51185838-b45c-4b84-90c2-930fa311a2f2 · outbound

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

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction Seer: Safe efficient exploration for aerial robots using learning to predict information gain,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:12.981805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.748345Z digest=sha256:82fc9641831f7d35a6fd15c7ed0d098043b2aa44a38b9d028099ae60774e1e2e

Observation d659a973-521b-4e54-ae34-120e4f56c006 · outbound

This paper cites What uncertainties do we need in Bayesian deep learning for computer vision?.

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction What uncertainties do we need in Bayesian deep learning for computer vision?

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:12.953581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.753972Z digest=sha256:94e269e73abef480a58dbc9176b59c9682896d3ba737ab141956fe63455b971c

Observation fa46abd3-db60-40cc-8ef2-8fd5abb48e69 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:12.931250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.759916Z digest=sha256:76241f0c58a702c045e911d773400598a18982f693ba1f914f3853a60de660c9

Observation 576d62d7-a562-4844-be31-9830902f0170 · outbound

This paper cites Uncertainty-driven planner for exploration and navigation,.

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction Uncertainty-driven planner for exploration and navigation,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:12.909568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.764823Z digest=sha256:d40c85923a434a35126ec3302014ef0dc71c1413e412eb21a98ea0dac3e73665

Observation b164c561-b129-40d5-8a64-eef3da2ecfd8 · outbound

This paper cites A frontier-based approach for autonomous explo- ration,.

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction A frontier-based approach for autonomous explo- ration,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:12.887957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.772325Z digest=sha256:d115688ed6cb57f63c481592ac0ab570533e854d0dec51ebde78a41166775f62

Observation 64881f90-3aa3-4a36-9102-7fbeae8e4480 · outbound

This paper cites Robot exploration with fast frontier detection: Theory and experiments,.

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction Robot exploration with fast frontier detection: Theory and experiments,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:45:12.868552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:45:12.781241Z digest=sha256:19ccaadc1f74867f8c29b2be5f174afc92c78a8a8907a8a83d42d16706de791e

Observation 6e40dc0a-9ffc-488a-bd69-8dd9ffc82c91 · outbound

This paper cites HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots.

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T13:45:12.787479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:45:12.787479Z digest=sha256:9628507457e0d91ca0714286835788a518c290d19608da630a4bb50941685292

Pith citing papers

No inbound Pith citation observations are available.