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Paper Citation Record · LEDGER

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning

As of 18 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2505.01531.

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

pith.paper-citation-record.v1
2505.01531 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:22:11.385270Z

measured 58 of 58 standing notices

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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

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Source: cited_works

Reference resolution

58 of 58 outbound references displayed

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External citation measurements

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Outbound references

Observation d8bb54a0-1109-4a38-ba1f-dac59851c2c8 · outbound

This paper cites write newline.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning write newline

Reference 1

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Observation 5a071fb1-9fbf-427e-ad90-2829ac1172e8 · outbound

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning write newline

Reference 2

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Observation 2e25c245-e491-4103-93ed-b3de9843735b · outbound

This paper cites write newline.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning write newline

Reference 3

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This paper cites , author Corrochano, A.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Corrochano, A

Reference 4

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This paper cites , author Lopez-Martín, M.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Lopez-Martín, M

Reference 5

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Observation 13ce0e5a-48b7-479d-8e70-ae0b444f1d40 · outbound

This paper cites , author López-Martín, M.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author López-Martín, M

Reference 6

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , year 1991

Reference 7

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Observation 2d702085-6468-4100-8afe-ad97fa05190b · outbound

This paper cites Conformal Prediction for Time Series with Modern Hopfield Networks.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning Conformal Prediction for Time Series with Modern Hopfield Networks

Reference 8

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This paper cites xLSTM: Extended Long Short-Term Memory.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning xLSTM: Extended Long Short-Term Memory

Reference 9

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This paper cites , author Clainche, S.L.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Clainche, S.L

Reference 10

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Le Clainche, S

Reference 11

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This paper cites , author Girfoglio, M.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Girfoglio, M

Reference 12

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Jordan, P

Reference 13

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Barone, M

Reference 14

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning A predictive physics-aware hybrid reduced order model for reacting flows

Reference 15

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Jati, A

Reference 16

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Kaltenbach, S

Reference 17

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Bengio, Y

Reference 18

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Bengio, Y

Reference 19

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Wang, Y

Reference 20

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Fukami, K

Reference 21

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Zhang, X

Reference 22

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Schmidhuber, J

Reference 23

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Lumley, J.L

Reference 24

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , year 2018

Reference 25

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning Adam: A Method for Stochastic Optimization

Reference 26

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Vlachas, P.R

Reference 27

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning o wer, M. , author Lottes, J. , author Rasp, S. , author D \

Reference 28

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Reference 29

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Pérez, J.M

Reference 30

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Varas, F

Reference 31

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Vega, J.M

Reference 32

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Li, Z

Reference 33

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 34

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Noack, B

Reference 35

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , year 1967

Reference 36

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Spiliotis, E

Reference 37

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An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author López, E

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3dfdd912-d68d-4f30-8966-97126b94fc04 · outbound

This paper cites , author Hess, D.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Hess, D

Reference 39

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source=arxiv_source observed=2026-08-16T04:22:11.269718Z digest=sha256:a51eaa603db2c2432fee26565d2b2778ade102df24879844c964b3989095b813

Observation 907e0ab6-693c-4ec8-a6d5-0b4ee5e86754 · outbound

This paper cites A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks

Reference 40

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source=arxiv_source observed=2026-08-16T04:22:11.275561Z digest=sha256:fe9e7fc99f4580cc6fc8b655033d03a752f8c848f82d00b5db77d6b372f756d4

Observation 91ae056c-5b15-422c-afcd-30cb58ab32bd · outbound

This paper cites , author Fukami, K.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Fukami, K

Reference 41

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Observation ceffe8bc-b60b-4a6a-b49b-7910f68d51bc · outbound

This paper cites , author Morzynski, M.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Morzynski, M

Reference 42

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

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Observation 96b1d695-6ee2-4896-9bd5-3f2eb0816c98 · outbound

This paper cites , author Carlberg, K.T.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Carlberg, K.T

Reference 44

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Observation 1e7bcc65-e25c-42c4-b92d-c0589a8a2fbd · outbound

This paper cites , author Rahman, S.M.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Rahman, S.M

Reference 45

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verified exact
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Source-reported events for the cited work

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

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Observation d75a62d2-ab99-48e0-8979-552ffeec2a31 · outbound

This paper cites , author Manzoni, A.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Manzoni, A

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-16T04:22:12.652909Z

Source-reported events for the cited work

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

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Observation 79174834-04a0-4093-a8b9-90e8b4519156 · outbound

This paper cites , author Terragni, F.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Terragni, F

Reference 47

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source=arxiv_source observed=2026-08-16T04:22:11.318180Z digest=sha256:00acf326e7dfd38469fabf4ba9657b5b3d0f6117104b11e6ca306811557abd86

Observation 2c5f828f-386c-4c55-9379-e08b246f4d8f · outbound

This paper cites , author Dedè, L.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Dedè, L

Reference 48

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verified exact
doi, observed 2026-08-16T04:22:11.527926Z

Source-reported events for the cited work

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

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Observation dae8f8e3-1011-44f7-948f-f45df98e3b04 · outbound

This paper cites , author Schulze, P.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Schulze, P

Reference 49

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source=arxiv_source observed=2026-08-16T04:22:11.328912Z digest=sha256:c4d265f72ff017f54b5ec57f13db6b06373d0eeca89fe51525157e5a4482e908

Observation b7d81c5c-71b1-4210-8973-5e3a3d508437 · outbound

This paper cites , year 2000.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , year 2000

Reference 50

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verified exact
doi, observed 2026-08-16T04:22:11.493406Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-16T04:22:11.334505Z digest=sha256:2e2bcce2b86795be3ec15800c1ee4bd16f388e96d12dd9489893105a7b81297b

Observation 18f0ffa6-2969-4926-9cdc-2360b83ad2bd · outbound

This paper cites Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models

Reference 51

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source=arxiv_source observed=2026-08-16T04:22:11.340138Z digest=sha256:c0ea174ffc9dd7badc0eda84ba435609935ce7f6b18b223a75a8e9aeae06809b

Observation af220f4d-564e-4a33-9a33-59a3477547bb · outbound

This paper cites , year 1987.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , year 1987

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-16T04:22:12.624195Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-16T04:22:11.346189Z digest=sha256:6f5a5e3c00577a8deb555bc5074b9e23b783c310eadb9be0abce864240b2056f

Observation 673546e3-a831-4d47-82d1-e6bf200610fc · outbound

This paper cites , author Sapsis, T.P.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Sapsis, T.P

Reference 53

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metadata mismatch
raw_fallback, observed 2026-08-16T04:22:12.038675Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-16T04:22:11.351208Z digest=sha256:4281571e20af7c957b5ff9f49f304ba7ae5a8163fe7f9449b0f6b50e49009a34

Observation c0e6e477-62fe-4b18-810c-59672d0da6d2 · outbound

This paper cites , year 2001.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , year 2001

Reference 54

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raw_fallback, observed 2026-08-16T04:22:12.603551Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-16T04:22:11.357155Z digest=sha256:9821cb6d3e303f20721d8b43ac023c7b2b044be86518ddf26bd6491f367e0342

Observation c6d66b88-a8be-4341-a831-71ef4e692d1d · outbound

This paper cites , author Le Clainche , S.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Le Clainche , S

Reference 55

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verified exact
doi, observed 2026-08-16T04:22:11.472885Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-16T04:22:11.362233Z digest=sha256:e5a16c5d53ccaa2b6c7bb6b4e213b70d21fc90dcf785b226d239cf7bc83b3374

Observation 8a87a8f0-de8b-4b90-abeb-79f5534c83f0 · outbound

This paper cites , author Byeon, W.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Byeon, W

Reference 56

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no resolver link, observed 2026-08-16T04:22:11.367922Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T04:22:11.367922Z digest=sha256:4d592700661aba183a265c4c8ec68e29aa00b49bfed6bc23a567b01241031e21

Observation ae6a22bc-a41c-462e-b5b7-64073379ef1d · outbound

This paper cites , year 2004.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , year 2004

Reference 57

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:22:11.373330Z digest=sha256:3bb507dfe6557fd567dee6fffb004439bba52ecac2d4f9173cf61720ce8e7816

Observation a298a00a-34af-415c-9f51-1a3e8c5b902b · outbound

This paper cites , author Heaney, C.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Heaney, C

Reference 58

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verified exact
doi, observed 2026-08-16T04:22:11.439608Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-16T04:22:11.379602Z digest=sha256:01c8c0e4fe516635473235a0c0e4e175bb0865d561e78e4227ef7d0d4252a3c2

Observation 845cd02e-2de4-4d4e-a8c1-ee43e9ff606d · outbound

This paper cites , author Zhou, G.

An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning , author Zhou, G

Reference 59

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no resolver link, observed 2026-08-16T04:22:11.385270Z

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source=arxiv_source observed=2026-08-16T04:22:11.385270Z digest=sha256:3400e326f7166fb182ac12748ac932ac4361ad6a4d273076d331ac3cf5044d4a

Pith citing papers

No inbound Pith citation observations are available.