Paper Citation Record · LEDGER

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning

As of 6 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2603.26816.

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

pith.paper-citation-record.v1
2603.26816 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T23:55:50.492934Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T18:58:32.854964Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

17 of 17 outbound references displayed

verified exact2
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation c9c9096a-d1b5-4aaf-8aa9-b3c63343eaa0 · outbound

This paper cites An overview of reinforcement learning techniques.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning An overview of reinforcement learning techniques

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.525415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6ce45015-d3dc-4255-9bfc-0d4bff8d0ca3 · outbound

This paper cites Data augmentation in high dimensional low sample size setting using a geometry-based variational autoencoder.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Data augmentation in high dimensional low sample size setting using a geometry-based variational autoencoder

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.527270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation edca7adc-f73a-475f-bff8-a0b03af197f1 · outbound

This paper cites High Resolution Flood Extent Detection Using Deep Learning with Random Forest Derived Training Labels.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning High Resolution Flood Extent Detection Using Deep Learning with Random Forest Derived Training Labels

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:58:18.973453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2967d6c1-5802-4813-8d25-57ecd8e36c43 · outbound

This paper cites SimCLR-enabled wide and deep learning for cyanobac- terial bloom prediction from NASA’s PACE hyperspec- tral mission.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning SimCLR-enabled wide and deep learning for cyanobac- terial bloom prediction from NASA’s PACE hyperspec- tral mission

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.529149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 626654bf-2014-4bd4-b20f-afc83ce58ade · outbound

This paper cites Application of machine learning methods in water quality modeling.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Application of machine learning methods in water quality modeling

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.519846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f3cbc981-fadf-407c-8024-ec4ff3a6c2bd · outbound

This paper cites Adaptive modeling, adaptive data assimilation and adaptive sampling.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Adaptive modeling, adaptive data assimilation and adaptive sampling

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.515527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 837a2ae7-f2db-4c64-9825-701d50f6024f · outbound

This paper cites Gaussian process optimization in the bandit setting: No regret and experimental design.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Gaussian process optimization in the bandit setting: No regret and experimental design

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.517609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0e33702e-0936-47c6-ab41-f8d8ffbb84cb · outbound

This paper cites Learning to optimize via information-directed sampling.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Learning to optimize via information-directed sampling

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.522908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 566db920-2d50-4f91-8e6c-518f77e8b48c · outbound

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

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.507052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 81992e5a-ba20-490a-8c43-59e411f0fce3 · outbound

This paper cites Domain adaptation for the classification of remote sensing data.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Domain adaptation for the classification of remote sensing data

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.513434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5ba6a555-5290-43b5-b2b2-021ec26aad66 · outbound

This paper cites Role of impoundment and irrigation in intensive agriculture watersheds.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Role of impoundment and irrigation in intensive agriculture watersheds

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.502827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 532046e3-7b71-4344-a953-a7d3967954f4 · outbound

This paper cites Near real-time and next-day prediction forEscherichia coli(E. coli) concentrations in highly urbanized watersheds.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Near real-time and next-day prediction forEscherichia coli(E. coli) concentrations in highly urbanized watersheds

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.505008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c3be0394-d969-45af-a0da-7a46841486df · outbound

This paper cites Algal blooms.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Algal blooms

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.500702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 18506b60-7377-4d8d-b8e9-655b53e93f95 · outbound

This paper cites SpecTM: Spectral Targeted Masking for Trustworthy Foundation Models.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning SpecTM: Spectral Targeted Masking for Trustworthy Foundation Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:58:18.977289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 880a6577-1ec2-4311-b88a-8a3dbdd09b0f · outbound

This paper cites A novel ocean color index to detect floating algae in the global oceans.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning A novel ocean color index to detect floating algae in the global oceans

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.509011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9ad78cf7-cd5e-437d-8279-b11ca294b9e8 · outbound

This paper cites Dueling network architectures for deep reinforcement learning.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Dueling network architectures for deep reinforcement learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.510816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5c479319-93c4-4ca2-9698-e57aa676a46c · outbound

This paper cites Imtiaz, S.

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning Imtiaz, S

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:58:19.498812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation a4b00985-1d66-40a6-99c7-3cc85a311c9c · inbound

SpecTM: Spectral Targeted Masking for Trustworthy Foundation Models cites this paper.

SpecTM: Spectral Targeted Masking for Trustworthy Foundation Models PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:58:25.408436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 08cf7da3-46c2-4e47-bc3c-392b7d48804f · inbound

Scalable and Trustworthy Earth Observation Foundation Models cites this paper.

Scalable and Trustworthy Earth Observation Foundation Models PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T19:07:35.293263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.