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Paper Citation Record · LEDGER

A General Approach of Automated Environment Design for Learning the Optimal Power Flow

As of 22 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2505.07832.

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

pith.paper-citation-record.v1
2505.07832 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:49:16.636320Z

measured 58 of 58 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

58 of 58 outbound references displayed

  • verified exact6
  • verified fuzzy1
  • unresolved39
  • parse uncertain0
  • malformed identifier7
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90fbf1c8-b58d-474c-92e1-e3260646753a · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.403125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.403125Z digest=sha256:b17bf0b6a3156382dd1515bc274d6f66c840b80f1d1edf77b8bbf3b1feeb0e5c

Observation 37f636ad-95e9-40f6-8685-2fca4f633ddf · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.407540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.407540Z digest=sha256:2c56c939b2f298efe88b1107e50ed1d7d4167d3729df014f8ff10f0d4ed40005

Observation 6b15bdd9-0039-41ab-9fec-08187e16b3f7 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.411718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.411718Z digest=sha256:3cd86303f15f576aacf91d1b986e5be08b0a8609f54eade3b53af4a3ec4dc953

Observation b108386e-7d40-4105-ab88-dd59ab6fbbcc · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 4

Resolution
malformed identifier
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.415654Z digest=sha256:35669718414f17e72e0f484f7b4c3e80fdc38c2ea8e9877d6ba262d1aa7978de

Observation d0207641-5e6c-4bbd-bbc7-d7c6d590387c · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.700099Z

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=pdf_text observed=2026-08-16T04:49:16.419500Z digest=sha256:be9cee4b3afe4c665edc23b47b7d9b0091e01da4f91a76ccfd408dd752fdd475

Observation 947ba195-449b-483a-bc2c-4300142a5ee5 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 6

Resolution
verified exact
doi, observed 2026-08-16T04:49:16.828227Z

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=pdf_text observed=2026-08-16T04:49:16.423354Z digest=sha256:6dfb320137aec68c1d12162eff09982332cdfe4119b4a1f88429e5789d92fe67

Observation 00fd93ce-c7fb-453d-8895-4ca5ac0d6bac · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 7

Resolution
malformed identifier
no resolver link, observed 2026-08-16T04:49:16.427964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.427964Z digest=sha256:472319bde6ca54bfa01e85162a9f370f62cbac408216a999dbddfd71643a257d

Observation 160315d7-5353-4f3e-a9e1-876371199b34 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.433010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.433010Z digest=sha256:82f3060d793b2280ccefd540a7f3b4b9a6f697fe80537c5317ce9f37a32f614f

Observation 4aa85676-d1f7-4aa6-8c2c-97f9ca38bcf2 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.686777Z

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=pdf_text observed=2026-08-16T04:49:16.436975Z digest=sha256:bd07790a9c9b6c748d1a18adf78947547180d753ec3f633a4735f1c09de180c8

Observation 7303bd25-81c7-4b77-9873-14796e6bd317 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.673094Z

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=pdf_text observed=2026-08-16T04:49:16.441107Z digest=sha256:f1b0e2ffecb8e632d746dc9286bff62024d3e6a6609dc692ff8e83fd9c50d595

Observation 0ad80f5a-c445-46d9-b444-5dc7c2383857 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.445201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.445201Z digest=sha256:b933fc6a0e82cd3113f9cce61244bd14572ce62aee4b6bbdbe2ecff6020d0eef

Observation 6b866588-32e6-4477-acd5-24f332600e22 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.449226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.449226Z digest=sha256:5da13eabb1564d08bd45ce21cfb948cbc4a97d22a6660310671a34a381695c55

Observation 71dd459c-c715-4da7-bb08-0d5a6cf94d77 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.659166Z

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 5db9ed55-fc0e-4852-84a5-ce501f6cef64 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.460884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.460884Z digest=sha256:e39f85ad6f4702ac04d687d1bf0ef5f9402d48c95ca2fa3897cd11109c72eba5

Observation a183daef-972a-445d-bf5a-99637d95913d · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.644059Z

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=pdf_text observed=2026-08-16T04:49:16.464863Z digest=sha256:115aaa94ea56527bd49f10927f0a01c6f6003d523cbe199b6039927f5447283e

Observation 7db405c6-8794-48b9-b46d-18b2076d61a3 · outbound

This paper cites Continuous control with deep reinforcement learning.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Continuous control with deep reinforcement learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.473171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.473171Z digest=sha256:652c678ae5e0006d6b34de907bb62d60e1862e649126d09e34d4c5fa1a545b94

Observation 6a986d66-c47f-4cfe-b9ae-71d505fddd89 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 17

Resolution
verified exact
doi, observed 2026-08-16T04:49:16.767274Z

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=pdf_text observed=2026-08-16T04:49:16.478564Z digest=sha256:32313b28c1711801448a379f20db7b57b4836386f289928e9d3ee5434fa3503c

Observation e1dfbf4f-01f9-4804-b71b-84d0d7aa12dc · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.482657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.482657Z digest=sha256:a39936b64703fc6469189683471b3989e32c7089edc02dd67e2e59a4ac6ef427

Observation 414c569f-abd6-4e15-8605-3bdcc16abfbf · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.631260Z

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=pdf_text observed=2026-08-16T04:49:16.486171Z digest=sha256:ff40585c37aa5d14dbb1c56019befcd2b082aae0a0f82004adabb36a324b4184

Observation 329691b0-acbf-4a98-aa30-5b27d0cc1d4b · outbound

This paper cites Ng, Daishi Harada, and Stuart J.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Ng, Daishi Harada, and Stuart J

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.490407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.490407Z digest=sha256:d0feabe0d695ea16aa9976398cfbaf262f7d2ca04399acdaf04abe6252402247

Observation 2f4eb3f1-d8a2-4d31-abd9-cdb272c31fb4 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 21

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T04:49:18.101154Z

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 7d44d15a-b8d7-4e0f-b560-04d52cd02b42 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.611354Z

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=pdf_text observed=2026-08-16T04:49:16.499042Z digest=sha256:9426953c3194f0e6895a9e6f8c75eeab4025cd32501176fc4e39bd5d69a201b5

Observation 2df4cac5-113c-4344-8e45-e198d8bc0bae · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.507617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.507617Z digest=sha256:2f699cf8f36cc5d20fd0d15e703760b88e67276c9a7b9bcfd349a0666457dc63

Observation bca02148-fd3e-49e4-9bc7-6a685b3429bc · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.511634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.511634Z digest=sha256:47ad0ca247e8d6736f4709c8db08fdcd4c654e31a9465a545f5747f71a1af19a

Observation 9c262217-d76a-4daf-a6b9-653bfac5b0d7 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.599758Z

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 cb9f5fc0-7b83-4c86-b9d1-0a67ca3ef62d · outbound

This paper cites Mak, and Pascal Van Hentenryck.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Mak, and Pascal Van Hentenryck

Reference 26

Resolution
malformed identifier
no resolver link, observed 2026-08-16T04:49:16.519398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.519398Z digest=sha256:751ecce983d1c604bc116f4c02cc41d4b8a0289bb6b9faa0b698adcff414da90

Observation 41bcb5e7-406c-4469-9fe6-eb5d634f59e9 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 27

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unresolved
no resolver link, observed 2026-08-16T04:49:16.522914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.522914Z digest=sha256:fa08085b25d2cf875c7bdb4860c3912b0224d61ce458c2fe313d6b5b1a03cfab

Observation f04dc56e-413c-4dcf-b396-e91e82c00138 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 28

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T04:49:17.801729Z

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 9f8642c0-204e-47b6-ae35-35b04bbf7677 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.530078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.530078Z digest=sha256:2dad5020cc1675013f6c93fc7faf33654e855e3bc1e92d3144f6443c0e2defee

Observation fb1a370b-7ff0-4aab-8908-4761d9fa87c4 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.533722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.533722Z digest=sha256:76d388ca486a2a6049ccaea846152b356322df03770bab6e2f3e0bb414461e2f

Observation 4eadafe7-d748-4008-a0d6-8318cd56f562 · outbound

This paper cites Designing Rewards for Fast Learning.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Designing Rewards for Fast Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.542411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.542411Z digest=sha256:db192cc8e242eb5def0e9053541002b07303ebf1c451c54db173e4a446ff4e10

Observation 09f57ca8-c806-41b2-849b-4757b883ed03 · outbound

This paper cites Sutton and Andrew G.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Sutton and Andrew G

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:49:18.579050Z

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 7e0fb9e9-7d64-4dc3-b8f3-5b2b74009a1b · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.565724Z

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 653d10c0-ea2d-4c10-90e9-d71821153772 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.556027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.556027Z digest=sha256:0e7bdebd907de8dacf7139381968ab7eefe21b221ab839eeeeb573256badce7f

Observation dec70f72-516f-49e4-8af8-cf76807bf007 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.553125Z

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 ba8ceddf-d66f-45a3-bd15-6478f3e7695d · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.540316Z

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 cca86e1d-1c98-42f4-b20e-36e641fbb043 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 37

Resolution
verified exact
raw_fallback, observed 2026-08-16T04:49:17.672470Z

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=pdf_text observed=2026-08-16T04:49:16.568056Z digest=sha256:3c60647de84c506501f513806baca3d354cf74b14e7473a5e91bebd8858f85e8

Observation 3cc18d67-eb6f-42bd-b258-a24a1f03a866 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.572069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.572069Z digest=sha256:7c5680855dd49b2539b386c2b1c9c527668dcc41ccedc2d64eb5af3b013e08ce

Observation 3c005c63-54d2-41b7-bc63-f3d18d19de1c · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.576270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.576270Z digest=sha256:d78d2caa02a4289dd4ce541ac3d78b90e2d56e6c636ab74b65928887667b0e8f

Observation 12896b9c-ca4f-46ad-a697-a13291aa8f22 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 40

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Source-reported events for the cited work

correction dated 2023-05-10. Source: crossref record 10.1186/s42162-023-00264-5->10.1186/s42162-021-00181-5:correction, observed 2026-07-11T03:03:36.184273+00:00. This notice travels one citation hop only.

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Observation 59b41172-2cc6-45a8-91dd-1f55d84c1d23 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 23442b6e-8246-486b-af69-21b655fdd860 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 42

Resolution
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no resolver link, observed 2026-08-16T04:49:16.588268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.588268Z digest=sha256:6f9d90850b92f167fe23e1f4ccf1c71c7a4f57a011fba28186c552d08084c276

Observation 4d638c35-1c44-45b9-b6dd-93dab651e38e · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 43

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metadata mismatch
raw_fallback, observed 2026-08-16T04:49:17.337039Z

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 9fb37ec6-9398-420f-8349-04a6529ee3db · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 44

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no resolver link, observed 2026-08-16T04:49:16.596460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87327b18-651c-4f64-b938-f6e2edc9bfbc · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 45

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unresolved
raw_fallback, observed 2026-08-16T04:49:18.527433Z

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 5c59f4e7-257a-44ec-912e-8e839db791c1 · outbound

This paper cites Zamzam and Kyri Baker.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Zamzam and Kyri Baker

Reference 46

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no resolver link, observed 2026-08-16T04:49:16.607677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.607677Z digest=sha256:b83ff01028c20919e4c11281a6fe8053c86cae86a27c0ac829a5e43bce65b044

Observation cb9133be-989b-4196-805a-3474634de55d · outbound

This paper cites A Study on Overfitting in Deep Reinforcement Learning.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow A Study on Overfitting in Deep Reinforcement Learning

Reference 47

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.611954Z digest=sha256:7e109e68a41a621284cec996794c1d87d56d518309d10866400f085f8643ea48

Observation b233af7f-3f43-4785-8013-2b2a538d0c53 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:49:18.513751Z

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=pdf_text observed=2026-08-16T04:49:16.616534Z digest=sha256:821e5d361be83e4f2f42e0a05313a12389c4ce110d030229f4ac11ab7a9af5ea

Observation 6d535f13-8ecd-45ba-865c-15e5ba4970c3 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 49

Resolution
verified exact
doi, observed 2026-08-16T04:49:16.672360Z

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=pdf_text observed=2026-08-16T04:49:16.624491Z digest=sha256:285b5731c4eec53b9169060aa22b84a55cc0c68ec27c9fc07000d8cedd6a7078

Observation fea63cc2-d20d-4299-a801-9bc2a42b2910 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 50

Resolution
malformed identifier
no resolver link, observed 2026-08-16T04:49:16.628490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.628490Z digest=sha256:c11d0512a2c790578d899c5a4cf36d1aa4f7ccc0bf8f31cd6c99bc0f0170b7e4

Observation 496bd053-5e8f-4833-85ef-bfa11a6a462d · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 51

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T04:49:16.976485Z

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=pdf_text observed=2026-08-16T04:49:16.632166Z digest=sha256:9530adc161032b3b760db3db0b3c6e5ed61cf0a5ad03f5f78ac1ba8a354ac4ed

Observation f37bdd43-ae99-432b-9de5-b8d441cc2f66 · outbound

This paper cites an unresolved cited work.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Unresolved cited work

Reference 52

Resolution
malformed identifier
doi_truncated, observed 2026-08-16T04:49:16.900906Z

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=pdf_text observed=2026-08-16T04:49:16.636320Z digest=sha256:960cd28ad70430416eb980ee0b9da76f1ceb3c0dd513ebc1d6b30ada3e804aa7

Observation 4f7c8cb1-2026-4acd-82ef-a83a2fb2f6fb · outbound

This paper cites Proximal Policy Optimization Algorithms.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Proximal Policy Optimization Algorithms

Reference 2017

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unresolved
no resolver link, observed 2026-08-16T04:49:16.537689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.537689Z digest=sha256:a48138604a790a020c4ba96e177c6f21553b4493300bc9065bb85eaa5079e63a

Observation ad152a91-6961-4dcd-98e0-55e867071461 · outbound

This paper cites End-to-End Constrained Optimization Learning: A Survey.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow End-to-End Constrained Optimization Learning: A Survey

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.468937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.468937Z digest=sha256:d90a77251e6369f32c4d830c8e2d096c2b2835a113113c9e7e39c215a9dd2e33

Observation d52b117d-659e-4b57-9a8e-295bf38cde9e · outbound

This paper cites In 2022 IEEE Transportation Electrification Conference & Expo (ITEC).

A General Approach of Automated Environment Design for Learning the Optimal Power Flow In 2022 IEEE Transportation Electrification Conference & Expo (ITEC)

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:16.503461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.503461Z digest=sha256:e82100a5644a99eaabe8e8d33e5e7c04e152b930f4e0ec81a2935cc585b679a0

Observation a2e99065-695e-4993-802b-2927cfcedb7b · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence 37, 12 (June 2023), 15313–15321.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Proceedings of the AAAI Conference on Artificial Intelligence 37, 12 (June 2023), 15313–15321

Reference 2023

Resolution
verified exact
doi, observed 2026-08-16T04:49:16.686000Z

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=pdf_text observed=2026-08-16T04:49:16.620450Z digest=sha256:50a02c6999e61718381db63c676a9f220386b0c5a7d77236da90e12e95bc0a5c

Observation 3f61efd6-1f39-4e6c-8004-99005a31dc17 · outbound

This paper cites IEEE Transactions on Power Systems 39, 1 (Jan.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow IEEE Transactions on Power Systems 39, 1 (Jan

Reference 2024

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no resolver link, observed 2026-08-16T04:49:16.603993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:16.603993Z digest=sha256:b2ba6e6fcda2e46583831c6ad099bfc7c1830b79b97739c7d0f873afca840cda

Observation 1cbaa526-13ad-4c9b-a2b6-d528361348e3 · outbound

This paper cites Applied Energy 388 (2025), 125637.

A General Approach of Automated Environment Design for Learning the Optimal Power Flow Applied Energy 388 (2025), 125637

Reference 2025

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T04:49:18.310470Z

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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Pith citing papers

No inbound Pith citation observations are available.