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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 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.019339Z digest=sha256:c6e565e8a954a598953bb50413fa54f09106c48f6107dfbae635afa85460054c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.024954Z digest=sha256:22ddd663cbbbc639846f3982a4aac0aad71364898cc5fdf95be528079f2f19d8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.030077Z digest=sha256:4a2615f466552a3c57ae65424005367253e474c1428566c0c680aeb1b48f86ef

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.035229Z digest=sha256:cdd5d25cbc02a533d384c1ce0036cd4c51f62a5581036c603298d8315aa89ca8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.040434Z digest=sha256:c4cff2fb1376a03395b422b65ea6f0be0a2bbd70ee3453d3b95417e919e4b6d1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.045001Z digest=sha256:54e757becd7f5239dec7dc51c0139901ff3d6ef04890907a16e2c371633f272f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.050005Z digest=sha256:c571dc3054ae38b2a04fab38bf657d2bb33d9e50bd354922e2ce05925f47358e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.054407Z digest=sha256:56d26de2a7e173aed42bf6f943916e3dff683d131a24bce902d730f9286b50fe

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.059127Z digest=sha256:6a27720861e30708d7d502590d2d52a8e561137fcb32d4ae2841d7ab9512eaa8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.063572Z digest=sha256:34970136e6fd5fea128f9597b437ea11686de2d433e41f1556e66644c411c5e3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.068136Z digest=sha256:fc920ce1ae6eaeb046d13c171af4ddc655224a501a80fc0f35386ba31fe8ba55

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.072403Z digest=sha256:47b6cf40d3b449d96cbff420d839c39f341cd4e0021f26daf0e8a882a6efe475

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.156354Z digest=sha256:43323a74f697175dadd1d760ad28245cc53dc2c63f4b685afc95e1da06e7cb5a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.246450Z digest=sha256:cecc0c0f37ce7a2d39395b25d33bf32af61e81fa045c02ebb025da4d527b61b2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.341558Z digest=sha256:ae332c29bb0d42f3b279bd65d074cf9fa7e5339da0431a85044f55bac947342e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.411332Z digest=sha256:4d7bee8e27f0a32b6f7c31764a929245377df37796b82bcf2c6b9659efc89104

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.416218Z digest=sha256:37feb7d1c40ce4fa60f1501e235f801e471bf9541e039e1f2f5ff7e7844af910

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.420934Z digest=sha256:dde7cf68a8d0771accd208f9b66d9dc4b4e1ec2c45db7c62602bd320306b695a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.426259Z digest=sha256:b0bce93da4aaa5b8d130b8d14d06eb6f382dfccdc6a504aaef288ac8b2686aa9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.430940Z digest=sha256:1734e214759785ceb6c0fc640dc8873f71c45cea4838f6a89b4caed2ef5f23b5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.436171Z digest=sha256:1b225d071863a508c88be03d5bbac698c4a4d0f4f61935a048d000f13c4b1276

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.441759Z digest=sha256:03b439fb7cb19d3f8f28e3721284f5524c1d3bc0d1d457e1fbca88be2c7ba814

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.446372Z digest=sha256:6605036253f685b61f4c229dcfcf5547f60a1c95df9882737409a314ed7830a7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.450843Z digest=sha256:9744e974ab74c3fb67c9c3a5967ff3d0eb73b1f01e39c73f09b8b0a333bdb12b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.455048Z digest=sha256:6eeed476daf914dc96bf5158b1d95f1ab6a8343a775b3d119274f801aa79a05a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.459632Z digest=sha256:00141217a15b312ae814cd7963db79cd03d3c139a40e630584409a5ef88ddd41

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.463957Z digest=sha256:ff7a799d6753cf03dd645115000e8f09b5393365843174a4fb1af1b0c12202c6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.468928Z digest=sha256:328dfd867fcc35315d6df16c16816e06f74b2f37e5b3565b83244ed790629c6d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.473740Z digest=sha256:5ccf716e8a36b0019cf53a32a1ec2bf30abf245af83d07f970e1563531739cb8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.478245Z digest=sha256:ccc2e566feab5c9fe40a610e3710b638a0cca3f4893dc80d4fb5a9db5b8a1cb6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.482882Z digest=sha256:f86a4a562df8ff8d4da574a3df8722b2766ba5ce0200f01a6fa6e018b74cd372

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.487505Z digest=sha256:c720100b09fc2f10214fdba812e0e2da133e1390370d1158785bc71c9330a434

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.491785Z digest=sha256:6ad200b5959ebcec301a7b04165715a4dc8e4945b4696fec09b7c1739b90f7dc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.495938Z digest=sha256:6dcb17d12970819bbf4a5e9a6410780120a7cb4ca01666b95f35cfeb0d24246b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.500708Z digest=sha256:8290589e6f1598d803c6547d95133037c1c29e0e9ad1b51613d04c7d97b29616

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.505472Z digest=sha256:93af228d10c4f7416e0b28d0aa5bef7ce0534bd389bac038e1517074e067ff73

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.510193Z digest=sha256:758d99f473bb5b23765808344f103fd41c57712e1c9416f8394aeed79e8543cb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.514612Z digest=sha256:2f19422a880818448f92091b853040b0d8aee52f4f4928cc3669ad2e2296ebb7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.598186Z digest=sha256:5c6c3e289535b74395a9a416e6dd230b9171b1d0b2a95044ca40a4ede02f6aab

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.658287Z digest=sha256:a056c354df93281ba9e070b42a882074f1a2d63540b4d48fba62d17cb719a9d0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.689495Z digest=sha256:213a7e4524fb2dad1a785b9c41871019711f7ec146e410aa7372fabd9c6c0289

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.722063Z digest=sha256:fc8eb24838fbb248f0649a125372afd6b4cbd3037b8c446bc772b3a21601e6c8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.727936Z digest=sha256:5d7cb5f49cbb3e3ea640c33119a5488a83bb2477d060b6748129fa85c8458460

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.732617Z digest=sha256:1684f4aa0805dca6655bb6eb42d96dee6544210e2d9b73b42484f35ba853bed7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.737415Z digest=sha256:59cf375f631f3377e67ae47c7c95eb881f9318011df5efbef7f2947b1aeb529c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.742236Z digest=sha256:16341d6203b42cb4757727cb06fcda1850255292592e4315ae38bdc2468674b3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.747295Z digest=sha256:839396ec9d28d136a2401918d7da8359fdb0a9030396373efdbd9ddc9b14c4c9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.751437Z digest=sha256:482f9d18553233c070de34ce2d40ef8d36b435b9ffc3037c3fd47007da92788c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.774928Z digest=sha256:efac2d0267e6c3e613c9ddcaf6fbc7a384a4ec54e5b95aad62d01af5e3346c5f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.785715Z digest=sha256:0ade3059e48bb88e0b236e4cc140e669d4d355aacc4bfd2c1069688ec78a67a3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.790042Z digest=sha256:3d4295bea744f5bafc29b4c74cb773ac356db09b046e1e22659d77ba179d21dc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.794535Z digest=sha256:3d1ebbd0ca8c36fa64dd76405d6f624c446e571b3f3d32d357634efa347e6743

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.798512Z digest=sha256:c8d22571ab345b6a22041fdb91477fb4e02fec0ef04b2f6540d652bfe6dd233a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.803180Z digest=sha256:fed6a4e8e136702a6aaaafaf735e4c6ccc6ca160c87803d6ad66acac04f3fe64

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.807714Z digest=sha256:5670beca4622653e0667530f8ca48af479bdce4441e89af27ba43afa49e7c7fb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.813030Z digest=sha256:1ca01e7ae407d5ef2de12f8116fec0e45ff6f4ceec26e99f9357dd391c25efcf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.817715Z digest=sha256:613aee2265bef2626dda1341fd5a16122cb37dcd7e00528c347bc1334d6ccdb9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.822713Z digest=sha256:ad8c9452f37d1af1808fce5afd851f7917339528fbc4660f611f5073287ff98a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.827329Z digest=sha256:4f421acd42387ddc9f323b84030c600159ba295fd3fd0c6b191d628e5769e9a3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.831377Z digest=sha256:1a1798a43c3451f22e6f45a60956dc0b79e79900e7b78acc85b848559ae663a8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.836289Z digest=sha256:c5d0f4c54fb6d8142b45ddf8cf27fba70343614d47b2e4c14e40401729602e85

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.841025Z digest=sha256:ab9f049309db6ad112eb1d6385045d9a6c9c76f61dfeafac42de429c3faf8af8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.873571Z digest=sha256:4536b29d70dc4a34b593ef0bb6b051f4abd853ab432a7dfda035e63280caf3db

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.941997Z digest=sha256:deed5a511f4fb30295edbc8f1194cabfd530995c8bb9f8d2ba35aaef2940bdbd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:26.991240Z digest=sha256:3c9f8b973aaf8ada4c92ad97162dea8b479e03484f4a0b0805d4ff0c319f6293

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.019443Z digest=sha256:bcb6bde300adc05f929dbaec9ed74a722051b5cd063aaf1d2fd949e5ebce4524

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.051528Z digest=sha256:ec4cc70efc2bae709fbc6a48f40e12d81914dc8f920b27bde52dead241963520

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.080604Z digest=sha256:163cbf7529eaae3ac6d4c22af71e5d61ef58af8af258dcf88dc2ae3b153bc852

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.086263Z digest=sha256:ac057ac1746067532ddb7ecd3e43379119ada6b001b94119e28a2e64e9c4a278

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.091522Z digest=sha256:efb0c2cf4ca85404021a9ada7fddcd9f35c63a555598cde560cc6c5e47fd57c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.096593Z digest=sha256:42eb67e5a2b8e6c72d546dea47fcd5d2f3e23410c423d672dc64252d1c13f5f1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.100799Z digest=sha256:15218e6ecb10e94367d17f31a6c9eb268c9bd0f2f7b492265940e4e87bb1c0dd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.107169Z digest=sha256:d46f8fc7a2da517b5cf8a6395eac9ce079ba5b33920e7a6dac1736e08e17d466

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.112515Z digest=sha256:ba427d5c6807fde447843af1fa6a64a3e233cb31f237b6f9493e7bba7d3e3247

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.117682Z digest=sha256:914636c3ad3e135e32475bf23bc1ef003ca124e6fa57ddec2501a9444f80f419

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.122480Z digest=sha256:7e2d881f74cf48790a37565e198de6d8c3a75c5cc841be6e86cf8c64972ae32f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T00:18:27.127369Z digest=sha256:4f1a6657cbc74bc02cca624111375f265b2668941e6aed462329bb830d231bcf

Pith citing papers

No inbound Pith citation observations are available.