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Paper Citation Record · LEDGER

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy

As of 23 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 2026-08-22T06:32:14.747728+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

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  • verified fuzzy24
  • unresolved3
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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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.

source=arxiv_source observed=2026-08-16T05:42:27.085135Z digest=sha256:82b6636c78807ef35ec53756a29c53e0a53041ba416a74fafd6615ae49b756b3

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 2026-08-22T06:32:14.747728+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T05:42:27.126719Z digest=sha256:dca6159f7ce468d5aac4d911b17d4bda5b9c06e1881e2320d78fa5244cd1b9af

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T05:42:27.130420Z digest=sha256:9999d1571bc50b1ce9e1758e0ffb60234436dc16df84d5412f00d28b02728b7d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T05:42:27.134034Z digest=sha256:09837d17596b0a1082e22378a4aed61e7a7f37baab10263b8587c68f4b750b9c

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 2026-08-22T06:32:14.747728+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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.

source=arxiv_source observed=2026-08-16T05:42:27.144941Z digest=sha256:6699ef609ccc3b4825568da44da00c489d02b7892cbc696135bb9fa45d29bb93

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T05:42:27.149200Z digest=sha256:dd7b71f0afcdec07d9f301258cdc9432169bce76b04deb0b6f700c9cf6e5a357

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.

source=arxiv_source observed=2026-08-16T05:42:27.152721Z digest=sha256:96d4eaf22e8749bdf721ea0883f5588b4f75777bd1a225959bd0fe25778c7147

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T05:42:27.156547Z digest=sha256:32df157e72dff2076007d6e22f0ad769d36b98553392d9854dcc0fe072c65e1e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T05:42:27.161002Z digest=sha256:476393bc8beea038cb48df6856ac538891b67cc47e43de31f370f2a970bf1e24

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T05:42:27.164694Z digest=sha256:889b0d65ddec40be3130f2852a977a7aa8adb099f15da95b49fb2e5b1c9c8a42

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T05:42:27.168502Z digest=sha256:db2d9adeb8c5dbaa61cbb872aea4e69bff3e376d3012460358542cf96ae6e3eb

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T05:42:27.172365Z digest=sha256:8875b5b8e3bc9287179bbd2d2733bb3aa36036eeae114621d1a17d8f072ad72c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T05:42:27.175764Z digest=sha256:87880e91264095ff6f63cbbbe1904280fed507813b57fea77d632f5e86cdcafd

Pith citing papers

No inbound Pith citation observations are available.