Paper Citation Record · LEDGER

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs

As of 16 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2507.03863.

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

pith.paper-citation-record.v1
2507.03863 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:05:35.535725Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T01:57:31.255596Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:06:26.029280Z

Reference resolution

39 of 39 outbound references displayed

verified exact3
verified fuzzy11
unresolved25
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee0423a6-3a54-418f-b53e-8cef5818b603 · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:32.477294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7eb4aa-7d12-4f1d-b85e-7957c6a65522 · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:39.549456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2151b6f4-382d-4891-923c-439e997dea4e · outbound

This paper cites Goswami, A.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Goswami, A

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:39.427308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8ae941fe-89af-42ac-8be1-4c27c19d6741 · outbound

This paper cites Temporal Neural Operator for Modeling Time-Dependent Physical Phenomena.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Temporal Neural Operator for Modeling Time-Dependent Physical Phenomena

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:32.632433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5321544d-db39-43a7-b993-6474f1d91458 · outbound

This paper cites Robinson, S.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Robinson, S

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:39.339732Z

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Observation 2bd4d7e4-7b0d-421a-9a57-c17b69ab94bb · outbound

This paper cites Nayak, S.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Nayak, S

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:32.707564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38adcb2c-b975-4fde-bec9-7d382f4101e5 · outbound

This paper cites Micha lowska, S.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Micha lowska, S

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:39.241409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f85d876c-134d-4f67-b5c0-dd861b145474 · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:39.143373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5a875267-dcb2-4af3-af26-8abd5862df1a · outbound

This paper cites Sutskever, J.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Sutskever, J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:38.982481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f8442c4-7594-43cf-b4b0-dc61b73d7121 · outbound

This paper cites Huang, H.-T.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Huang, H.-T

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:38.890833Z

Source-reported events for the cited work

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Observation 745c245a-573a-4ef4-b62f-81310a219d87 · outbound

This paper cites Breiman, Random forests, Machine learning 45 (2001) 5–32.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Breiman, Random forests, Machine learning 45 (2001) 5–32

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:33.105859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a48102df-353b-4fc9-8927-7033a795400c · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:38.772310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f01a6fd9-aa21-4460-b81f-72822d0235c8 · outbound

This paper cites Lakshminarayanan, A.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Lakshminarayanan, A

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:33.294015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba50993-ede4-4194-803b-d4a7a9512ee7 · outbound

This paper cites Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:33.351784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aab51b38-7d2c-4562-96d7-89f91fdf653d · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:38.612866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69af6823-1a24-4fbf-830a-612ed72e4353 · outbound

This paper cites A foundational neural operator that continuously learns without forgetting.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs A foundational neural operator that continuously learns without forgetting

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:05:36.328527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1660b682-363e-4d7d-86c5-02e1677dae31 · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:38.529151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 29324c71-24f6-4ca9-ae46-f168d91275c5 · outbound

This paper cites Hemmasian, A.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Hemmasian, A

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:38.409851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0fe4635f-6409-4226-8712-90315fbaf161 · outbound

This paper cites Transolver: A Fast Transformer Solver for PDEs on General Geometries.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Transolver: A Fast Transformer Solver for PDEs on General Geometries

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:33.726590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0576f388-aa21-45db-b8a1-efdae009f6c5 · outbound

This paper cites Geneva, N.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Geneva, N

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:38.317216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 79aac6ce-f203-4fbf-99dc-e8d0524cd79d · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:38.158308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b9b8e95b-6bbb-41aa-b7e7-aa2827d7bc68 · outbound

This paper cites DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:34.003360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4730e527-50fa-4790-9df2-460cbb85e743 · outbound

This paper cites Oommen, K.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Oommen, K

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:37.997472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 382ca897-382f-4cae-a6f4-686d5224fe57 · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:34.192897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 109131ee-4fcc-49ad-b955-2150bddc4e12 · outbound

This paper cites Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO).

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:34.279803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b4616b1-9f35-4b1d-8aa7-6bcc32caedaf · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:34.361851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfdcae7a-28f6-4bf3-aef0-2026adf86484 · outbound

This paper cites Vaswani, N.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Vaswani, N

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:37.789404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 49232dc7-0318-406e-a6d5-11414a6990d6 · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Deep Ensembles: A Loss Landscape Perspective

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:34.519244Z

Source-reported events for the cited work

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Observation b3ddf26d-273f-4263-873f-6c832f0ad0ee · outbound

This paper cites Ensemble and Mixture-of-Experts DeepONets For Operator Learning.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Ensemble and Mixture-of-Experts DeepONets For Operator Learning

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d2f8df1-bd08-4933-9983-6633d92fdcc1 · outbound

This paper cites Brown, Ensemble Learning, Springer US, Boston, MA, 2010, pp.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Brown, Ensemble Learning, Springer US, Boston, MA, 2010, pp

Reference 30

Resolution: verified exact; doi, observed 2026-08-06T20:05:35.946845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c0bc39dd-3a56-4945-a638-d1abf34cdcf8 · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:37.639346Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3d8d5ee0-2238-4616-b2cc-4379de59432c · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:37.441016Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ca9e6d53-fe4a-4ad2-aa61-56334e245a96 · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 33

Resolution: verified exact; doi, observed 2026-08-06T20:05:35.799408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 62707018-58b2-4e88-8700-a4d62eda6bd2 · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:37.260931Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 17785cd8-f535-4e8c-a1dd-a7ce8d8c1050 · outbound

This paper cites Ohana, M.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Ohana, M

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:37.134202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6dee3f9c-1985-42c8-b7c1-9e0cfc775c26 · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:36.971929Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7b996c57-b5d6-4f48-8eb3-1b79e0628169 · outbound

This paper cites Hersbach, B.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Hersbach, B

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:05:36.841607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 602729c0-ff59-47f1-889c-b8f341dc30a2 · outbound

This paper cites Towards Stability of Autoregressive Neural Operators.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Towards Stability of Autoregressive Neural Operators

Reference 38

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Source-reported events for the cited work

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Observation 09fcd093-fde5-4eb0-9a28-b50a5e2dfcea · outbound

This paper cites an unresolved cited work.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:05:36.675789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 2c213947-0071-48e1-964c-49fc9fe48e2e · inbound

LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds cites this paper.

LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:06:26.031264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.