Paper Citation Record · LEDGER

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2504.20011.

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

pith.paper-citation-record.v1
2504.20011 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:42:27.175764Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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 fuzzy24
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1627191-1982-43b0-b814-96fc4f428613 · outbound

This paper cites Segment anything for microscopy.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Segment anything for microscopy

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.497392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 49be870b-7451-4042-a69f-ccd38c758cb9 · outbound

This paper cites Scanning probe microscopy.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Scanning probe microscopy

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.487002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a274c47-0f7b-470c-87c1-95abd66d26af · outbound

This paper cites Exploration by Random Network Distillation.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Exploration by Random Network Distillation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T05:42:27.085135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea0762e2-46cc-411a-a1ff-23089168b00b · outbound

This paper cites High-speed mapping of surface charge dynamics using sparse scanning kelvin probe force microscopy.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy High-speed mapping of surface charge dynamics using sparse scanning kelvin probe force microscopy

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.476715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e24b7eb-78ac-4572-8b00-7c8fc34ae8ef · outbound

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

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.465978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99f19927-72dc-4766-8411-670062d1c5be · outbound

This paper cites A supervised learning approach for dynamic sampling.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy A supervised learning approach for dynamic sampling

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.454552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8ef8e98-ff9d-4e3b-baaf-3a8cf2a24283 · outbound

This paper cites Spiral high-speed scanning tunneling microscopy: Tracking atomic diffusion on the millisecond timescale.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Spiral high-speed scanning tunneling microscopy: Tracking atomic diffusion on the millisecond timescale

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.444129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9bcd3c7d-9721-43f0-bf6e-99400cbe9e4d · outbound

This paper cites a se, Lo \.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy a se, Lo \

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.433506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f761c52-ddf4-44dd-998e-968b4f9414ec · outbound

This paper cites Atlas: a brain for self-driving laboratories.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Atlas: a brain for self-driving laboratories

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.423080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac3ec70f-070e-4c33-91c2-ffcc42f4b8de · outbound

This paper cites Toward decoding the relationship between domain structure and functionality in ferroelectrics via hidden latent variables.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Toward decoding the relationship between domain structure and functionality in ferroelectrics via hidden latent variables

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.411784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c6acacf-1071-484c-84d9-e0157e4adead · outbound

This paper cites Automated and autonomous experiments in electron and scanning probe microscopy.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Automated and autonomous experiments in electron and scanning probe microscopy

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.399614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d775309c-08e6-4280-840f-d77c59aa0962 · outbound

This paper cites Demonstration of an ai-driven workflow for autonomous high-resolution scanning microscopy.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Demonstration of an ai-driven workflow for autonomous high-resolution scanning microscopy

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.388633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 51480a0a-d484-4d0b-93fe-2d5758fc3eb4 · outbound

This paper cites Artificial-intelligence-driven scanning probe microscopy.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Artificial-intelligence-driven scanning probe microscopy

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.376525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d16bb6df-328d-4bda-84d7-dac26ad771e1 · outbound

This paper cites Exploring physics of ferroelectric domain walls in real time: deep learning enabled scanning probe microscopy.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Exploring physics of ferroelectric domain walls in real time: deep learning enabled scanning probe microscopy

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.365236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a55086b-0397-450d-934e-0caa9aa2c92c · outbound

This paper cites Experimental discovery of structure--property relationships in ferroelectric materials via active learning.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Experimental discovery of structure--property relationships in ferroelectric materials via active learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.353710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65104208-df4b-4726-9123-9d8e3ec62776 · outbound

This paper cites Aecroscopy: a software--hardware framework empowering microscopy toward automated and autonomous experimentation.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Aecroscopy: a software--hardware framework empowering microscopy toward automated and autonomous experimentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.339796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f79f91ca-9886-4135-a6b2-9969fbb70265 · outbound

This paper cites Exploring the relationship of microstructure and conductivity in metal halide perovskites via active learning-driven automated scanning probe microscopy.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Exploring the relationship of microstructure and conductivity in metal halide perovskites via active learning-driven automated scanning probe microscopy

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.329050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 174a9c1d-ff5a-404a-8ad2-8c1236338794 · outbound

This paper cites Deep learning for cellular image analysis.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Deep learning for cellular image analysis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.317771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7ffff3d7-e131-4849-b96f-7cc68fc4ba9c · outbound

This paper cites Multiscale structure-property discovery via active learning in scanning tunneling microscopy.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Multiscale structure-property discovery via active learning in scanning tunneling microscopy

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:42:27.144941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4d56000-200d-41e5-96e3-bbb33f419619 · outbound

This paper cites A kriging-based approach to autonomous experimentation with applications to x-ray scattering.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy A kriging-based approach to autonomous experimentation with applications to x-ray scattering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.306114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30dbd5dd-94b0-4052-b34b-d99f35780052 · outbound

This paper cites Curiosity-driven exploration by self-supervised prediction.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Curiosity-driven exploration by self-supervised prediction

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T05:42:27.152721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f557862e-59a6-452a-a2a7-a0415c5f13af · outbound

This paper cites Physics discovery in nanoplasmonic systems via autonomous experiments in scanning transmission electron microscopy.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Physics discovery in nanoplasmonic systems via autonomous experiments in scanning transmission electron microscopy

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.287415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a540b3c2-6738-4011-9124-15fed8ce3d7a · outbound

This paper cites Bayesian conavigation: Dynamic designing of the material digital twins via active learning.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Bayesian conavigation: Dynamic designing of the material digital twins via active learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.275761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c32b5b00-5751-4d0b-b13a-6b95334f4d37 · outbound

This paper cites Introduction to multi-armed bandits.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Introduction to multi-armed bandits

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.264736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 93a186d6-f614-4727-af08-6f1326696685 · outbound

This paper cites Curiosity in exploring chemical spaces: intrinsic rewards for molecular reinforcement learning.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Curiosity in exploring chemical spaces: intrinsic rewards for molecular reinforcement learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.253569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 12cb0443-3980-4717-98df-2a2cef1abbc6 · outbound

This paper cites Schmid, Sterling G.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Schmid, Sterling G

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.241982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2c7b572-7033-449d-8a1f-72a20247bdf2 · outbound

This paper cites Episodic multi-agent reinforcement learning with curiosity-driven exploration.

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Episodic multi-agent reinforcement learning with curiosity-driven exploration

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:42:27.229909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.