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Paper Citation Record · LEDGER

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields

As of 15 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2608.09071.

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

pith.paper-citation-record.v1
2608.09071 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:18:27.127369Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

79 of 79 outbound references displayed

  • verified exact2
  • verified fuzzy43
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c415e126-ef16-4b1a-880b-ff2011295051 · outbound

This paper cites Mohammadi, S.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Mohammadi, S

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:32.415445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.019339Z digest=sha256:8f1c05536df7329703caded394586fb67c8fa311fa6d8cb6e933f874db7a3b46

Observation ae5509d6-2dfb-4c2d-b03f-b120c7be5914 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:32.399927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.024954Z digest=sha256:576bea8c403c1f8abed9aa651db861a7de058e530d22d007c885a21eab150da7

Observation c3e41580-2e90-4778-be9c-20c3af57ea8f · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:32.340498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.030077Z digest=sha256:f067bcb3d5a887925212b3203a117b7fd604a36d31aa7a5c1d1b202fffae0338

Observation 6822b35b-d5f7-47e6-8761-05535cc7b27c · outbound

This paper cites Simpson, S.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Simpson, S

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:32.239629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.035229Z digest=sha256:0b5f65935329358942273db28db1f38b5c9364ef88f919975c8b44cbb6325011

Observation ea1df9d1-7bbe-4e75-afbc-70d1b631f1fa · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:32.224019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.040434Z digest=sha256:01d8ce861b2b13593f73cffeddac2e7ed07242f5928a8bf3b099fae72111066d

Observation eda7683a-4f9f-4a39-9958-2be7dc836397 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:32.207855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.045001Z digest=sha256:d926d75663f41059611ed910daf3a3def0db1a27ae86176181425394800fda0c

Observation 55f26152-e4c2-4f16-a90a-6d6691a89ff1 · outbound

This paper cites Ghanem, P.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Ghanem, P

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:32.170407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.050005Z digest=sha256:e4a1a3f4f1c46449626271b51abda4d2ba7d0252f919d52f9de3bff79134b536

Observation 93723773-9491-4622-a2f0-77522bdbd943 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:32.044305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.054407Z digest=sha256:4c721b44c430c0f6b67ccea4d6f9a9786fca197a49e2720a6e4cca4987e5c62f

Observation 1660f785-2261-4968-ba51-5bdb8b233710 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:31.984039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.059127Z digest=sha256:9bed17103cf630ca5ac5e8493438ca593580223548765abed0d745734857fefb

Observation 6d6800a5-6964-4f60-9005-007d96a81b02 · outbound

This paper cites Petersen, A.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Petersen, A

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:31.966218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.063572Z digest=sha256:7913d74f222164295b9a324a4c142c72c22203c88bcf4229b70a812ae96909e7

Observation 80625dab-8be3-44ea-8d94-745da92ae73d · outbound

This paper cites Shekhovtsov, B.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Shekhovtsov, B

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:31.667300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.068136Z digest=sha256:b89f0889256664be40cc016e4bc164018a67ae4fc428e76f5f2074455a31b230

Observation 56a4115c-1d1b-4fa4-b954-da8525a83272 · outbound

This paper cites Betancourt, R.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Betancourt, R

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:31.587004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.072403Z digest=sha256:d6d78187e95e02dc409effc8b25d9f3fdae762cc99ca342430c9d00fd610624f

Observation d96c071f-781e-45aa-93d8-5f4881b9bf76 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:31.570461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.156354Z digest=sha256:2c4be6ff83e9ac347b73234380d323faede7fe2e214575d196d6a256c8877500

Observation 61d8dab3-c3a7-4b86-b6c6-3413d5d977ad · outbound

This paper cites Tripathy, I.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Tripathy, I

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:31.521710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.246450Z digest=sha256:c7934c4fd4676bf87b6d35a039a1eb138c5acb4777ad5ac7bc8fad3014a26da3

Observation 135ea18c-5b27-4496-8baa-b88627b93406 · outbound

This paper cites Giannella, F.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Giannella, F

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:31.280955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.341558Z digest=sha256:a00747f096363bc16837788b1403b18bf7d334f579dc63de9d9c3863df66d489

Observation 87de5521-2306-4231-9c61-2d80897605b7 · outbound

This paper cites Gawlikowski, C.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Gawlikowski, C

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:31.266616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.411332Z digest=sha256:f5a8442b2e7d4a8554a3d4582a076babceb5d11a4fe98c13a616a1a11582c9c1

Observation 71104a39-ebca-4871-b2e6-67e68d14d2bc · outbound

This paper cites Neal, Bayesian Learning for Neural Networks, Vol.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Neal, Bayesian Learning for Neural Networks, Vol

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:31.251052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.416218Z digest=sha256:ba238b3c72d56afbae5f7638472dc52d0c8ce8f31e986caddd8e726c84305cc5

Observation b1bd31f1-e196-4892-bf65-319d73ecff0d · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:31.231181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.420934Z digest=sha256:f44da9653c4f0f9f900494cf16b43f7035edcc925387e82b82f0ee65fc82732c

Observation 66fbc1a6-6197-4463-939a-36971f91289a · outbound

This paper cites Lakshminarayanan, A.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Lakshminarayanan, A

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:31.102931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.426259Z digest=sha256:64866362a09b49450d0d0587d85316b17ead9880c8d4a3ad52f8267a5ef4edb2

Observation 8876d1f7-0f7f-4a94-8c27-d54711852f7e · outbound

This paper cites Sensoy, L.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Sensoy, L

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:31.044446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.430940Z digest=sha256:1f5275fdff49307f69290480a168cd7070c15c5ebba1b9f2f91d94ad64127b78

Observation 50d7331d-b852-43f1-956c-331bb4a9d5fc · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:31.027796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.436171Z digest=sha256:28424b2bb60f4f6e334e351aca282025d37bcd6de649485232696cde21e4d5ab

Observation 492c8cb1-d7b1-46ca-95ff-3416599f4d5b · outbound

This paper cites Seitzer, A.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Seitzer, A

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:30.985916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.441759Z digest=sha256:6025afa6fbdc879188b8db407958fffff8432730b51438cc3d6dbcc53ebdb63a

Observation b5434fef-14c8-4e3c-b132-acd81fefe60c · outbound

This paper cites Sluijterman, E.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Sluijterman, E

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:30.818379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.446372Z digest=sha256:d4e8b61d2bfad70f3733dd78f27c4690da4630170c5cdf7cc4e7f4b2defad4c7

Observation ba50516d-0cb6-4ec0-b55c-39a077467b6c · outbound

This paper cites Subedi, A.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Subedi, A

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:30.802460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.450843Z digest=sha256:de57caa7fb02b3a907b93e749c89ddf202d1fc31cbe75ece012a2d34af56de87

Observation 8f02f483-89a2-4eb3-9597-4dbbb5352147 · outbound

This paper cites Kovachki, Z.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Kovachki, Z

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:30.787693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.455048Z digest=sha256:be152d71fe161d057de6fc6832e888a379a396281dcaefc2f6b569442d1598fa

Observation 7f40b859-5289-4c45-8463-20360fe069c9 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:30.766844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.459632Z digest=sha256:9adc590704368bdfe13b2bc6c72b591666ed88455b259ea0d6d34dec9f5ddb07

Observation 17427d85-b664-4caf-bbb5-9d458bfcb1a5 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:30.643175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.463957Z digest=sha256:b5125eae7748c5d79573b20e08185ff612850b41cda1193540298c9453feaba6

Observation 9290e624-991d-42d3-8506-fdd326a322c4 · outbound

This paper cites Goswami, A.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Goswami, A

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:30.485034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.468928Z digest=sha256:48de4ec1353289e4fdee646590c5a3640ce7aa7f6ed2fb9dd6506d8a5ac6ed51

Observation af810785-b88c-45b5-9868-e035b6b57b67 · outbound

This paper cites Sahin, C.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Sahin, C

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:30.467388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.473740Z digest=sha256:30ca4d14fac58c3ac022b817ac2a3affaac7105a2606ef7b5f22a60103d546e9

Observation aab292e4-03ea-44df-96a2-aedcbfad0c11 · outbound

This paper cites Goswami, M.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Goswami, M

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:30.441621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.478245Z digest=sha256:afbe57f58d4493cbc37cca9e684b4bae7ec583d920c887cfe5d29ac76239ebde

Observation d110f212-5f83-4f0d-848b-424e05f6236f · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:30.358640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.482882Z digest=sha256:fac828c6c29e45a48ed5479116b5b38a6b23c6a81a6e0c7ade9a0a4cead39353

Observation 4e61aca3-a1f3-4815-87d3-fb631459da21 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:30.119155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.487505Z digest=sha256:4ad9ddf37e7f890d8f6d1200fb90839586fd9711bca4c93562da876a45597180

Observation ff357b2e-6a0a-4fdc-abd5-9da71e3cea0d · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:30.014269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.491785Z digest=sha256:24c423308816b6d42d427bc747c03aef1c3f6a382fb0544778bcc5913fab9091

Observation a210edcf-f8d0-474f-8d53-c01f144ddca8 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.998002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.495938Z digest=sha256:4ce00f74f49cf8b2bd08881071efbf20e10fd5181808e4cc3cb55a0b2ec3e1ed

Observation 698e78cc-e547-416d-aad8-3f2ae42d2597 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.982574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.500708Z digest=sha256:83929d29d273aed6725032eaad3cc34396414f883e65ec18fd28e40c9534f3bd

Observation 80344edd-c715-4a6b-80a8-f1870c0671d8 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.918961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.505472Z digest=sha256:5dd3c4692a97fea2964be3102c5f95f8ee1d047afebb78a1c9dca642043b616d

Observation 0a68ba87-5822-43b5-a632-1d03feae1962 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.754803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.510193Z digest=sha256:c070ce5bb6bca03b897f13118f9267750d7b137eadd4cb0ad631c82c8a16b9e9

Observation 2fd10431-d96c-4cda-a45d-b2d70677402b · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.640348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.514612Z digest=sha256:94ac60b47d0b74cd2b9318c1a2a59fb049c79ceea8788f36473009089cc62f34

Observation 9cda41db-e3c8-458e-9ecc-d451ec14ebe4 · outbound

This paper cites Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T00:18:26.556600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:18:26.556600Z digest=sha256:ef171616f7648bf3ad7e2033724d8036f1068fd40b51ed885bf6d98b62316d4a

Observation d99697c9-1aef-45b8-9737-aeef4aa3a33a · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.624574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.598186Z digest=sha256:4242f94c4d202efa89bf5a68df2262d76e6cac8c78df8eab7007a21379a4a8d0

Observation 5d2c385e-5a0f-4594-ad08-4c5da0040f84 · outbound

This paper cites Diffusion-Based Stochastic Operator Networks for Uncertainty Quantification in Stochastic Partial Differential Equations.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Diffusion-Based Stochastic Operator Networks for Uncertainty Quantification in Stochastic Partial Differential Equations

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-12T00:18:27.579219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.658287Z digest=sha256:9f4e4eb3c3202d18e74a97326fca9b9aaccd019b2c78e42207b64baefc9d1519

Observation 36d7c6bc-bae5-4c67-ac7f-2995be3e5210 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.609724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.689495Z digest=sha256:155cae81a9e4be0cb3f5d38de91bf7e83218e33bd9af1895b4ea42097a0213b7

Observation 00a760c6-f9fc-43d3-8582-ab7cae57dacc · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.591786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.722063Z digest=sha256:b95fd162738ed8596bb103ead174813951a8885cac1004ad3a0d522881517eaf

Observation 32e613b2-6cc6-4fe5-85dc-cb2edf2e276a · outbound

This paper cites Winovich, M.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Winovich, M

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:29.455247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.727936Z digest=sha256:01357a505d80cb0df954f65a9bc58f58a319cdf153e7cc6f37decfb76085dc15

Observation cf9b26de-a7ba-43d0-bd87-6bb2c4e47cd6 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.356047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.732617Z digest=sha256:6a6428cceb24b68a74ad4611d087ccdaf846132879fd1877b75432e4bfc05dcc

Observation aa065150-8a18-45fd-ba36-c0f9cbea26a4 · outbound

This paper cites Kiyani, M.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Kiyani, M

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:29.340916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.737415Z digest=sha256:078c835ee791a4b28bed827a81525022287e5f5c2ce72da8045a644fa06f26a9

Observation 26fc568f-726e-4343-a317-18086e2dedb0 · outbound

This paper cites Jiang, M.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Jiang, M

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:29.323749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.742236Z digest=sha256:8dedc086d3efc286c359221adeefe9415d0831037e760a3ae3cd19c4ea0d9eab

Observation 9798ca4f-3342-4c8d-975c-26d9728cee35 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.211117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.747295Z digest=sha256:8a2193333b8ed1cf4ce31c7f2a21cca065af536383e21e6b770e2d38ef03003a

Observation 9f61c51f-6a7e-46e4-bd87-941ebdb406f9 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 49

Resolution
verified exact
doi, observed 2026-08-12T00:18:27.416528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.751437Z digest=sha256:f5fd5cdb5a472c5204aa61783bdc7cf23a7695f7469530ef4df47c0c7f5d4675

Observation 6c8d891b-a475-4128-b1ac-3eb46334bf50 · outbound

This paper cites Peyvan, V.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Peyvan, V

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:29.130878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.774928Z digest=sha256:090bd181479264d3f453866e61ed491ac48511e0f69873eedb2eeaa2d39363a2

Observation 55c241b9-739d-44a7-9850-fc0744c19abf · outbound

This paper cites Deep operator learning-based surrogate models for aerothermodynamic analysis of AEDC hypersonic waverider.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Deep operator learning-based surrogate models for aerothermodynamic analysis of AEDC hypersonic waverider

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T00:18:26.780467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:18:26.780467Z digest=sha256:0f1d6f52116b039e3f5a39607116ea7b05fbe5502eec10225382a2a645708ab3

Observation b9b45d28-2f6b-4602-aa79-ed533969f9a7 · outbound

This paper cites Eckart, G.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Eckart, G

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:29.116513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.785715Z digest=sha256:a839a077fb5153e8a273d31b65dd13fced978e616c78a8fc7a53d302820fbf69

Observation 7393695f-1c5c-483a-92bb-d7f1407bedd0 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:29.098926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.790042Z digest=sha256:81953c59b80cc9692ca0e6f3db9105d99baaf2437cce0fa57b1b3f478ed45be1

Observation 8073b575-68e0-4dd2-83d7-bb934c2ea6de · outbound

This paper cites Koltchinskii, K.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Koltchinskii, K

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:29.080902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.794535Z digest=sha256:fd456bb1eed42fe2e0729b3a6368669a5301a557dc9fa49bd5873d2073341ecf

Observation 811cf741-1fea-4cef-9fcb-0557a71e67f1 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:28.946923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.798512Z digest=sha256:25f42bc5238370aab22c20c497ca20ac1ce8f8d065766312148bd17974f75b27

Observation 2d6f43e5-a4fa-411f-961a-19ff95dc6e29 · outbound

This paper cites Khosravi, S.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Khosravi, S

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:28.857663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.803180Z digest=sha256:ef388cb894c3e80f44432f03329c2afb29f495bb6951ff3653a4b654674a5b71

Observation a9250f98-10db-4726-8b24-f9bd294818ea · outbound

This paper cites Fife, Mathematical Aspects of Reacting and Diffusing Systems, Vol.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Fife, Mathematical Aspects of Reacting and Diffusing Systems, Vol

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:28.839725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.807714Z digest=sha256:29dfaa927e8d2d2ca005b615b2c147b297e9e7d666035e8316fc1488fcdb2943

Observation ab72507d-92c9-407d-a3db-aee1670a81a1 · outbound

This paper cites Aris, The mathematical theory of diffusion and reaction in permeable catalysts, Vol.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Aris, The mathematical theory of diffusion and reaction in permeable catalysts, Vol

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:28.821351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.813030Z digest=sha256:fee1c43b92a6d1188551fa3ebb9140bbbee320ee123a057c9a45d93fe9d4ea9b

Observation a819268a-aaea-4f00-836e-f231f694bc44 · outbound

This paper cites Turing, The chemical basis of morphogenesis, Bull.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Turing, The chemical basis of morphogenesis, Bull

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:28.789087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.817715Z digest=sha256:c2ec00477f5ca7e93b98b7a0d7665a377bef66e686dad47410c02f705c9acc2e

Observation 42e8978d-54b8-4793-85c7-7d2151a2ce28 · outbound

This paper cites Cantrell, C.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Cantrell, C

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:28.620454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.822713Z digest=sha256:df18d3401d97d95bc3a906f7086b92f8fc320adf1815f496faa1ec6fc1d31318

Observation 2e73a43b-2787-441d-929b-e2b7d0368340 · outbound

This paper cites England, J.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields England, J

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:28.414260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.827329Z digest=sha256:e4115b7a152d45d98f39945b14048913e5c79d93106170d8dfc337c11b1f5a8b

Observation 86dd5e56-19ed-4f74-b948-118dac0db147 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:28.394798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.831377Z digest=sha256:aa3e309cd24d13bf25777380513fc823565582b350edda54876414d0e933adb9

Observation 53d4d52f-2950-4249-b704-167b18d3e053 · outbound

This paper cites Whitham, Linear and Nonlinear Waves, Wiley, New York, 1974.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Whitham, Linear and Nonlinear Waves, Wiley, New York, 1974

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:28.377973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.836289Z digest=sha256:0a1a59bd230390cc952f2cd744025b0eafc30f4a5554a8d8f1ffee3ad29d569b

Observation a3df792f-d260-4714-ba8f-80ff551cd0d4 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:28.202600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.841025Z digest=sha256:4ee415658d0cd05888bed8c9df4cacb37215343516072467f464b10630f8dcfe

Observation 39b6d861-1a09-41d9-9411-3b4ee02ed660 · outbound

This paper cites Buendía, G.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Buendía, G

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:28.010318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.873571Z digest=sha256:1df7a641be84b5cec5f88f7c5587a146d47d3a870fca5faae4f66e641b27e7ad

Observation fbe4e6e7-2d0a-4e31-9796-e1209ada8ab4 · outbound

This paper cites Rubin, Applied Stochastic Hydrogeology, Oxford University Press, New York, 2003.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Rubin, Applied Stochastic Hydrogeology, Oxford University Press, New York, 2003

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:27.937945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.941997Z digest=sha256:75da8322c26538b044c776d786954934699f47024351661748f93d0c1f9ed9e9

Observation 669e75e8-0c51-4599-a542-d62f186dda45 · outbound

This paper cites Godoy, L.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Godoy, L

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:27.922570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:26.991240Z digest=sha256:e5605d7ac611cc1231b0dac35ab33280ee18a0ab79c7379f82b2690fd89fe471

Observation 3da16412-136c-4574-8c77-6d81d639f862 · outbound

This paper cites Passiatore, L.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Passiatore, L

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:27.907298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.019443Z digest=sha256:9a944c451afa3ef06c792cde5176343340d0184560459fbb0ad64f522f6552aa

Observation 7874ee93-a6e3-4718-8f37-b4eb8fc26615 · outbound

This paper cites Williams, M.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Williams, M

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:27.891246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.051528Z digest=sha256:391a6065da0b11afd82726e1e222fc8aa86291ebc23bff31edf72fcebff1cacd

Observation f86509a0-9e80-422c-a989-adbb74313568 · outbound

This paper cites MacLean, E.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields MacLean, E

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:27.874629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.080604Z digest=sha256:ca6744d27851aeef22c2b3fcda2089d694ee1d0f33f73d3475e223049e8f1168

Observation 3586dc15-462e-4ab7-b51b-64222ed86e71 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:27.859181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.086263Z digest=sha256:4352c98163eafbc21150998d9d9392a9a29c184a6e1bd59fbe93e28a4f20cd47

Observation 2b2e6d3f-e1b5-4f8b-b99e-d863d062d8cb · outbound

This paper cites Park, Assessment of two-temperature kinetic model for ionizing air, J.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Park, Assessment of two-temperature kinetic model for ionizing air, J

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:27.843805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.091522Z digest=sha256:f63a0399ae99b69b29f163e71aa2c46dadacd9044131d7a00f7b8cbc5a889f34

Observation a3533e0b-2387-4c69-a803-6a99351bfd4c · outbound

This paper cites Gupta, J.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Gupta, J

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:27.784987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.096593Z digest=sha256:c7d77fe382c39f9f1c6fa3d7ee02f3df4759eadf4aa304c9922809f663bf4712

Observation 429ded53-3b15-43f7-9aa5-f027e4570d06 · outbound

This paper cites Gnoffo, R.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Gnoffo, R

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:27.701270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.100799Z digest=sha256:f46e0ae8aa9d534d91177b004b75ec28a4bca0b4a2032f9d3711f7aabb4f03c2

Observation 1afa232e-652c-46bf-9a9f-298f4b2aba25 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:27.683762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.107169Z digest=sha256:5211898b2668d77b9ef267c2bc2dfb0c1858ec589ab547109bed72959de87df3

Observation 86a760b2-5648-4c60-828a-8198df8c840b · outbound

This paper cites Capriati, A.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Capriati, A

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:27.667999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.112515Z digest=sha256:3cc3b290ee7e2ad3df1cfe6f9a1e6e9e68ec5ba56e6c9b0e9ae34783e8e149ab

Observation 7c6aeae6-15c2-4301-b739-06c3733c7a6c · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:27.652283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.117682Z digest=sha256:e6783abc1c4ec4fb087d3d2523c9db281d634a07336222b05ad68966a4759e84

Observation 0207d2fb-aacd-4806-a7ed-9f07d7ce65f3 · outbound

This paper cites Wright, D.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Wright, D

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:18:27.636148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.122480Z digest=sha256:68b17f6a9eb7fed157f9dea31ce8292e8c8cae0abfb996ee9f367db16174317d

Observation f9168eb9-66e4-416e-b1b4-7885bccdb557 · outbound

This paper cites an unresolved cited work.

Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:18:27.620373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:18:27.127369Z digest=sha256:2b0bad66a792524a29f032220467017ab01af3ecc666cec3ff7bd147fc1bf1c5

Pith citing papers

No inbound Pith citation observations are available.