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Paper Citation Record · LEDGER

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models

As of 14 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 1 inbound Pith citation observation for arXiv:2412.09942.

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

pith.paper-citation-record.v1
2412.09942 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:37:37.454167Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:24:22.294094Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

81 of 81 outbound references displayed

  • verified exact5
  • verified fuzzy48
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76f0a535-dbd4-49fb-93f3-fc98df09f1b3 · outbound

This paper cites Aggelogiannaki and H.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Aggelogiannaki and H

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:37.110600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:37.110600Z digest=sha256:fc883706984a6d4c991a15fa80218fbaafc65369182f362108a049c10cec016c

Observation 4b148d73-7c57-43e6-ac21-6c9c416c1013 · outbound

This paper cites Control of high-dimensional collective dynamics by deep neural feedback laws and kinetic modelling.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Control of high-dimensional collective dynamics by deep neural feedback laws and kinetic modelling

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:37:37.679479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.115803Z digest=sha256:32e267cc0012bc55bb44add95c7e998e554a74ac2d651af1bc079579b1e64268

Observation 1a7fd4d9-1ff8-4a0a-aae0-8fe38f8ece23 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.607767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.120802Z digest=sha256:817f696cf8797fa1cbcfc7537a2e30a7733549890aa23b779716cdc5b1514331

Observation dfa7b342-8057-4223-a6c1-7aa0fbc58a4c · outbound

This paper cites Alla and M.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Alla and M

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.594282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.125394Z digest=sha256:c7e8abab81a42ddeba9a8f1335e275dd301c138f5c727c4eae57e7cf3283c1f7

Observation 7210bfbe-4330-453f-bea2-d6e7cf45a7eb · outbound

This paper cites Alla and S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Alla and S

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.580574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.129930Z digest=sha256:404392876462c99a4fe75fe97d0a9c9a1e1fcd75895286e0afe694304e1e389f

Observation 1a86899d-c6ed-4a92-9fec-f3eab3a1b6b2 · outbound

This paper cites Alnæs, J.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Alnæs, J

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.567383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.134459Z digest=sha256:264fe1d8ee1abedcb5a66cbc683362fc09b941f0b068cb32afbe8053b0172c16

Observation 6e63600c-4a70-4257-a1b4-6965ac173e47 · outbound

This paper cites Amsallem, M.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Amsallem, M

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.553783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.139440Z digest=sha256:848f3f087c6559276a4fba422211746309427d7347d605ed5a9e3802c5f29c42

Observation 938557d9-95fc-4e28-9297-70992dcc65e1 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.540292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.143754Z digest=sha256:e8b9b8e01e27336908da7e42d7d38bc28c8e68e608427aa08b9c5c984ce06b34

Observation b0efe836-3fa5-40ac-9906-938b7e487ce8 · outbound

This paper cites Bardi and I.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Bardi and I

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.527504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.148175Z digest=sha256:6a51f11fac0e56101554c4652c4a62468687f9fc37d8610999f69bef13baa284

Observation 6c7e710b-3f06-40b4-a5f4-7bda3e61a7bd · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.514165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.152920Z digest=sha256:6f009758744274bb0f4a0e0394a5ab285ffc33dfcfb622141c40fd29cc49a7c4

Observation 7d0f2517-8a5c-4fed-886c-9a06248ea35d · outbound

This paper cites Benner, E.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Benner, E

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.500897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.157403Z digest=sha256:51d2b275c68cda294ac51c150efe7e263a310abe05017d25d5f728fdc3e416e3

Observation f62ed871-345e-4306-9a84-c17373e517eb · outbound

This paper cites Bieker, S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Bieker, S

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.488121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.162020Z digest=sha256:96c5b85a1dc3c4a61675625d962e33af7f6608c1642776e8bb33e467871057ce

Observation da5d2305-f1ff-451d-bd63-00ac6942fefe · outbound

This paper cites Biferale, F.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Biferale, F

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.475613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.166299Z digest=sha256:3c8ce55ca750a18974fab303f3559533c37916afb666a78d02b0d87838bfb4f7

Observation 4afa14a5-467c-4eae-9ab4-c6cebf09324e · outbound

This paper cites Botteghi, K.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Botteghi, K

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.463039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.170324Z digest=sha256:31b7bb757ce9ab851a89b79fe45f78169c22d0b069cea240e800351d7518eed0

Observation a1d0b86c-bcdc-4722-8487-d5cb799bcbeb · outbound

This paper cites Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:37.174209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:37.174209Z digest=sha256:3b135c66887772a13e37b60e72a0c8882550f2a5ac51e738aa464dfc49274477

Observation d1c6bcd9-16c8-4069-a108-5e81bc6eda16 · outbound

This paper cites Brunton and J.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Brunton and J

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.449140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.178458Z digest=sha256:65982f64d26ba84c93a5a52cb0c5a634c991ff3e8e364194e1e138acddc5a896

Observation 1f2cbb90-fcec-493a-8090-d4de5108a1cc · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.435419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.182557Z digest=sha256:1f50b44394150f987537235eeb44bc20072ac206fea6ad78f1faf16b929a7d96

Observation e474c88b-0f5e-4da5-a51c-93d665cabda3 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.421516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.186806Z digest=sha256:ba5460392a0cfeda2a7473dc3c82affe86dd8cb695a0c05b575a39bf27eba6a9

Observation 337be92b-0f13-4061-8e3f-5727550850dd · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.407757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.190939Z digest=sha256:27e44874f5f319d90833117e135941c6161385e363982493207cadd5375a6238

Observation 8819d20d-1304-4357-8c89-f84d89ef1906 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.393652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.195158Z digest=sha256:6b86b3db66a38aed5416694f702fa29ae91e699f99db895c53fccd3ac70c1e76

Observation 809334c5-4a63-45ba-8da8-818e126a9b34 · outbound

This paper cites Busoniu, R.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Busoniu, R

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.379130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.199057Z digest=sha256:88184b16cd415461a7594aca24ab41ab4a434df48b4f22c4892964d05fd33b04

Observation c8930833-56c5-4271-a2ad-fe0b3a47fdf6 · outbound

This paper cites Camacho and C.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Camacho and C

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.365021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.203402Z digest=sha256:01f82563cd1b9c11a61af23c6f7e10cbf773f1a92aeebb00be055708d15efff3

Observation ef7537e7-c299-4afd-9284-cbc063b92203 · outbound

This paper cites Optimal Control Via Neural Networks: A Convex Approach.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Optimal Control Via Neural Networks: A Convex Approach

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:37.207740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:37.207740Z digest=sha256:430830468a6b8f72811a964d6a5cbbe5538eb12a139c70b3a05773e356603406

Observation d58728ff-d7ba-41a3-9945-342a8d296238 · outbound

This paper cites Draeger, S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Draeger, S

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.351913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.212177Z digest=sha256:9d34d782a4d9be34763836cb88429581c19b5f3f20690ccfc29106d27b022c98

Observation 537447a7-7877-4737-bdcf-e7d183f8e7b5 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.337729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.216348Z digest=sha256:df84282d3f957c844b3a07598d679de88f66c9da770672fa007ec4895639e977

Observation 7b352a69-9946-40c1-814f-c370370b9801 · outbound

This paper cites Fresca, L.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Fresca, L

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.324315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.220639Z digest=sha256:70c4d17020aaf34dff5f303fc4472b2a3c7949461904df12cadf86e08a46f03f

Observation d4bd8ef0-6357-4f2c-8207-9d651ad53318 · outbound

This paper cites Fresca and A.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Fresca and A

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:37.224736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:37.224736Z digest=sha256:d80b0cf2eef06a4f3f9b2feacb851b3f609b8791a44da351ec5587acaf2509ba

Observation ac80d9d5-c7ba-4190-8507-a21f981f1a70 · outbound

This paper cites Garnier, J.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Garnier, J

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.300595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.229095Z digest=sha256:f6a7275806b059674b92b5b50d5aa0189e8600ae8b6982dfe52e83deb15e4539

Observation 2aacd60c-d660-4054-830e-aeeb1bffe6e0 · outbound

This paper cites Geuzaine and J.-F.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Geuzaine and J.-F

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.286987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.233208Z digest=sha256:3413d4306ff8e7a8a4fda7fcd2139a370b79954c310b00a993ce42f79ba6f0f3

Observation b82d1aa2-da93-462d-8f0b-2e1c18bcf2f0 · outbound

This paper cites Ghiglieri and S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Ghiglieri and S

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.274231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.237496Z digest=sha256:103cad62ea041377c251b33b9883952a859ac9c689c5c502c386741f78c77315

Observation 16cc7d0d-50a8-493c-a34f-ac847d636e54 · outbound

This paper cites Guastoni, J.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Guastoni, J

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.260602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.241740Z digest=sha256:b10459de7d1773dcc7e003c44464bce458de049be71f4f030bebaa4abc7c8aca

Observation f18f60a8-4de9-4a10-93c7-7ea31d2d6082 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.247388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.246020Z digest=sha256:ba000f90d9da3a3849e55a3faeaabdf322243ec253580e099e044556bbad3271

Observation a1d008fd-ed0b-4d0f-83dc-798cee76340c · outbound

This paper cites Hesthaven and S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Hesthaven and S

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.233815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.250406Z digest=sha256:7b3fd621873a616bde6ad1877a8d4ce1ede97aab1f96280cb2e93ae5fea8d2ab

Observation dac1d858-b44d-4336-917a-476f7f09153c · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.220685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.254645Z digest=sha256:ae13c54d24668e7e8bd3aa52ca121ba0182bb97aa7871a9b8307654cc23496ed

Observation 3372300b-ab86-4409-9c11-d741d695a510 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.207380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.258858Z digest=sha256:e10f77e9dd1cfb43dc1b643180cc32e71d2a2acc6237f54d8f4285a21776b4f1

Observation 2e06aa5d-ebee-4a04-9104-311e9a1fd1a0 · outbound

This paper cites Hüttenrauch, A.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Hüttenrauch, A

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.193343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.263569Z digest=sha256:c60a024341d3728ac2ec221a5d1415c45b3bd72dd0cdb6dfd6daa4e59a8d9117

Observation 23dfe247-7310-4664-bddd-328f68af3434 · outbound

This paper cites Flow control by a hybrid use of machine learning and control theory.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Flow control by a hybrid use of machine learning and control theory

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:37:37.629864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.267799Z digest=sha256:a04fc89cc031757d1003e56822904a860dc7ff1c54477ebfe6265d705a9bb32c

Observation 31d3ce4d-5086-4549-a23c-00bc7f8af6b1 · outbound

This paper cites Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:37.272725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:37.272725Z digest=sha256:3d10694b7564c55a98d69c19eee660a061e36d8371de7a384603de02ef5dae44

Observation 3885c657-47fa-4e4a-be7c-3763429d5ce4 · outbound

This paper cites Kaiser, J.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Kaiser, J

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.179896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.277264Z digest=sha256:b347d6ab5f96e1c041b92027e18bdaba194fb4f1dcc979b897fd18f8c3848e78

Observation 05598ad3-90c4-431f-ac12-edafab7783a4 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.166204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.281668Z digest=sha256:3b792adb692463dc308fd5b046163c7933277542ed9460af4f71476b8b6fe0ea

Observation 7a8ea5e7-5529-4279-8b40-11addabce160 · outbound

This paper cites Korda and I.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Korda and I

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.152500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.286038Z digest=sha256:f8532f6adb56b92bdea5119e1b842818e9b218e198db9469606e97e5194f28ca

Observation e3583a22-06da-4045-9463-b815b379a331 · outbound

This paper cites Kunisch and S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Kunisch and S

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.138867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.290424Z digest=sha256:977b04611a7672aea80177fb02acce2b50ac0b28dc19e9acf979ad0a90778737

Observation 483c14b8-e22a-46cd-b405-d322f33f005b · outbound

This paper cites Kunisch and S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Kunisch and S

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.125188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.294802Z digest=sha256:68ee717773d762d2419ae1c6d2217e09f75524198a70db02c4e246fe10b32282

Observation 31081653-bbeb-40a5-8a65-127379a38eb5 · outbound

This paper cites Kunisch, S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Kunisch, S

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.112035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.299512Z digest=sha256:924f92f14be584b1c18fa7e17b4120658ebd99a23d0ba6de806ee59cb9246437

Observation 4d2a47c2-0ce8-4db3-a6ea-897eefc59f58 · outbound

This paper cites Leibfritz and S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Leibfritz and S

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.098753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.303793Z digest=sha256:160cacc09bdd78ff20efe86243b2a819e3d01649f4e0cb119c92ddc1a7371da3

Observation a7ae61ae-67a6-46af-9947-7f6ec3b8887f · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:37.308104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:37.308104Z digest=sha256:bf7150e15a501f91181590a022cf760ce8c3ee8e0a0179196e75b6c39f6624c4

Observation 93233d24-bc6f-4aaf-8c1b-affd640d55cb · outbound

This paper cites Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:37.312905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:37.312905Z digest=sha256:cf3cff6f97edd0c6e6a7c75e0675e02acaf02af17ba2cb2e037336a9f8988803

Observation 1ccca447-caed-4450-8f44-5ea7cc0905b3 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.084612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.317368Z digest=sha256:4aeaf6a26c6d77271f70ef703e1e0c6fc119a1270765874939968757d75343df

Observation 7e6636f5-d63e-4750-a69d-9ef5115823ff · outbound

This paper cites Manzoni and S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Manzoni and S

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.070763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.321150Z digest=sha256:8b435a1f24bec3dc33e559a56563655b1e77fd4ba3bc29f65deab6c48b306c83

Observation 5e5c297a-9adc-4632-89f9-6aecffcce0d8 · outbound

This paper cites Manzoni, A.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Manzoni, A

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.056878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.324955Z digest=sha256:0a4e9f35ec3646fe752503af9f3efd78d81ec70e1408e5655e07244b0b93e7fa

Observation 9ef6535a-47d2-4045-aeb5-5293eee83d5c · outbound

This paper cites Mirzakhanloo, S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Mirzakhanloo, S

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.042721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.328665Z digest=sha256:e9af2308db49b165aa234d120a2ae2fd911d904f2b9100f7e80b8637c40be131

Observation dff156e9-f8a7-4fd5-9619-1eae125b4968 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:38.028211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.332669Z digest=sha256:2a7c47ce0664c72727d1f7e337b456183702138268f0e27186f3cdc3fc7faa4d

Observation 663735fd-d308-4217-b326-1303a4b7f2a3 · outbound

This paper cites Negri, G.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Negri, G

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:38.013731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.336729Z digest=sha256:e4183418bf96aedc89cb065fbd55a7481aa5a982d37e7c4d30a0d1473bbf04dc

Observation 15d426ac-c02c-49a6-828d-f6816ca34370 · outbound

This paper cites Peitz and K.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Peitz and K

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.999056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.340730Z digest=sha256:91a5da5afe31d9c65ef137feb772d3e9ea3dc0fd8a3a0dc24ef4bdf0163a33f3

Observation 2d97d05c-06d4-4ac3-916a-d224f17bd4c0 · outbound

This paper cites Peitz and S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Peitz and S

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.984487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.344756Z digest=sha256:d9a96dc053c36c5e2a6ac774cffe519d1571972d990840ed82ae10e3f80d52eb

Observation 393812b0-9da7-4cd7-830b-536d1bef2b0a · outbound

This paper cites Peitz and S.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Peitz and S

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.970010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.348495Z digest=sha256:80401ca998e8b8d1eff6e1713a865fc69e08f989a3c9260255468a286fe1b0da

Observation a102246a-ac31-45f2-8b2a-4c8162eb37c8 · outbound

This paper cites Peitz, J.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Peitz, J

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.955682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.352699Z digest=sha256:05a88b8c956ef6664314bad772e4d0882c9f8d14602cb0b9a5972ed5437c2337

Observation de204076-4440-4473-929d-4eaeeb4bf290 · outbound

This paper cites Quarteroni.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Quarteroni

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.940636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.356955Z digest=sha256:2a1a35825516a0cf737e60e4d932fc80e4c4fb8c54dbeab667119a14babf7111

Observation d02c8e84-f1ec-4cc2-ad69-0fb1279a95ca · outbound

This paper cites Quarteroni, A.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Quarteroni, A

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.926144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.361334Z digest=sha256:d227904157cdf3994aff9ff50542beabd979ed0cadd174f28c5e9d1c4609cfd9

Observation 3e9c050b-63c9-4430-985a-b89fd7795b8b · outbound

This paper cites Rabault, F.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Rabault, F

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.912486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.365785Z digest=sha256:bf74b8b3de1145c30e97ad9714aeefaeaea063f093a01785525b0fb4bc07e129

Observation 9830c5a3-6006-4b26-a03d-de216ad6f84c · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:37.897713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.370095Z digest=sha256:fd7a731aeed401f3802b231fac21cc58177fe9912534e0c2f2345f3f079f8354

Observation 3bee026f-8776-4d70-9ece-2492cff43458 · outbound

This paper cites Rosafalco, J.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Rosafalco, J

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.882757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.374527Z digest=sha256:4e5d6ce486d8fd7f15b98d74b31e52d042eb7543d7b2827ba19582893d08fb0e

Observation b3bf9c35-65f7-4d5b-8da2-dcc5ac4d3474 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:37.378879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:37.378879Z digest=sha256:85e90b0c097f1f26bbce39ff5efe820f80e1af98bf59114f5dc73cbc15b155ad

Observation ef0af178-10c7-4e9a-bea2-d512ffd166f9 · outbound

This paper cites Schmidt and B.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Schmidt and B

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.859051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.382872Z digest=sha256:de736afda5495510ac389382a794e43bfaecbbe0ac3523d5ffaa25b4fb4953f2

Observation abc50138-7429-4086-bc96-282c0add60d1 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:37.845643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.387040Z digest=sha256:3dacb477c59862747209a5e54bd2bca9cb5c8f3856d3b92964b2d0e0da5d7344

Observation 922a7062-4358-480b-957c-446cac251847 · outbound

This paper cites Sinigaglia, F.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Sinigaglia, F

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.832250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.391116Z digest=sha256:ead295804e431787756d453b9a61f35e91c432ecf556d183ce77e022cb959513

Observation 52fdad69-59b6-4579-bf4a-3cde47e46cdf · outbound

This paper cites Sinigaglia, A.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Sinigaglia, A

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.818477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.395010Z digest=sha256:37ee9f945ff1ac3e7a4ec5bb9ede1e180586cd26b544ff72cf3238c5170759b0

Observation 3739e661-805d-48e5-91bc-c71a8fe6c8aa · outbound

This paper cites Robust optimal density control of robotic swarms.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Robust optimal density control of robotic swarms

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:37:37.566095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.399403Z digest=sha256:a03148bba4aefad870afa8efbcb8ffe9e4c1ea7ef26af5a5face99cc0501db20

Observation c773d22c-ac3f-4527-a11c-b8008d745646 · outbound

This paper cites Sinigaglia, D.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Sinigaglia, D

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.805068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.403888Z digest=sha256:5bf1ea489acab82cef5d22001ef5e83ea4d34e63b4af19ab9de20909359fe588

Observation 2cad3a0e-bf3c-4449-abb1-c65b35c7d416 · outbound

This paper cites Sirovich.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Sirovich

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.791306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.408155Z digest=sha256:68e23427a7ea35b51d2abc334c272506c5c72659129ab488c56d1d692b0f2f8b

Observation 8418c956-e9aa-4923-a60b-a166d9d62f7d · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:37.777915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.412360Z digest=sha256:6b0495eb9db97485e839d2c83c3faff7095673b025fcc478b3cb1bb01fc55f81

Observation 9a3e4a07-9c96-4c4f-83de-bc43b2ad9ae2 · outbound

This paper cites Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:37.416596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:37.416596Z digest=sha256:b54b0347bff3fd84538585a8ec3fda86e27bcaaf6815f8eed9e65b1d6983d86c

Observation 342d2eac-ca72-4ecd-9640-0f1ab8232f19 · outbound

This paper cites Navigation in a simplified Urban Flow through Deep Reinforcement Learning.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Navigation in a simplified Urban Flow through Deep Reinforcement Learning

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:37:37.532276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.421181Z digest=sha256:ee5b34159dbcb9f73b519e9f93f53ae81a5d6560d85b79b767dda5a58db33872

Observation 6f4ada8e-4acc-400e-88e8-b8432b23da27 · outbound

This paper cites Varela, P.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Varela, P

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.764286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.425680Z digest=sha256:bd94950acae957793d81e688e3918bc5b233e3074554949468d19452f909b972

Observation 433fd241-3b2a-4d8c-a517-c7cb984f7755 · outbound

This paper cites Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-B\'enard convection.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-B\'enard convection

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:37:37.512122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.429583Z digest=sha256:2b0edb8d5ce395c86cbbc9b9bce6563c4e07c801561b31c557448c157b1298b3

Observation 2ceb2860-dcf6-4934-910e-d87a48dfa4ef · outbound

This paper cites Verma, G.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Verma, G

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.750481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.434023Z digest=sha256:376da036a2ee0e928b63c23dddde810459717e3ae49203252df14854aa806542

Observation 4e4ba28f-6254-407a-bf57-08181b9255f0 · outbound

This paper cites Vignon, J.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Vignon, J

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.737302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.438175Z digest=sha256:0a3ebe7196af2661bafdcb5402f7000bd4d7c102b02ca12240de8292d0021d47

Observation 27006dc7-f0bd-42ee-bbed-a09ec5d08978 · outbound

This paper cites Vignon, J.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Vignon, J

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.723706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.442064Z digest=sha256:27234188727880de0770830906398e128b4f2dfeed6647c93ef07c2817c00bd4

Observation 17f4d7d4-a78b-4c57-8ae8-e1c0212e923b · outbound

This paper cites Vinuesa, O.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Vinuesa, O

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:37:37.709048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.445989Z digest=sha256:942853c94c17e1dd2e78dce9db5ff4349975387bef7b400495f9b6eacd19b45d

Observation 53276f6b-90de-4be7-99f7-c67a8433f8a3 · outbound

This paper cites an unresolved cited work.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:37:37.694400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:37:37.450164Z digest=sha256:33b00567b2886666d570a033b884f75cff88a7cf547368f959752ed2f54d90e2

Observation f250bba8-5496-4ea7-aef3-c25a1d7082b1 · outbound

This paper cites SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning.

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:37.454167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:37.454167Z digest=sha256:28e6ecbaf9f8b8f632114bd16c9cb547445c49a21124b40956492e7a3f1dc33e

Pith citing papers

Observation d98a4acf-cbf8-4d0c-8755-b12ffb37108a · inbound

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations cites this paper.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T12:24:22.294094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:24:22.294094Z digest=sha256:3cd86743dad8074970b9ec2ffb6b3c77b5d64ece97ef536ed04202a53f284030