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Paper Citation Record · LEDGER

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models

As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2504.17966.

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

pith.paper-citation-record.v1
2504.17966 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:34:07.345205Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:29:43.645791Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:29:43.870977Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31f010e0-e8ee-4bd3-b0d8-ca5f7215f380 · outbound

This paper cites Karabegovi \'c , E.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Karabegovi \'c , E

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.632289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d572aa4c-7511-438b-88cc-61c196df36af · outbound

This paper cites Vukobratovic, ``Robot-environment dynamic interaction survey and future trends,'' Journal of Computer and Systems Sciences International, vol.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Vukobratovic, ``Robot-environment dynamic interaction survey and future trends,'' Journal of Computer and Systems Sciences International, vol

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.619592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fbfb277e-4c27-4d9b-a37b-915fffd9012c · outbound

This paper cites Hassanein, M.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Hassanein, M

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.606405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation aad9862c-889e-43ac-9faf-bfa70455d8fa · outbound

This paper cites Lydia, S.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Lydia, S

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.593797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7c4643d0-6bb4-49bd-89bf-814620bc2925 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:34:07.579307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.273841Z digest=sha256:58e550cefad74536b36da2a95d3519884fac812eaf8c4e4f40751b5392e6e19a

Observation d9c7b85c-165d-46d6-9842-25ccf8b005f7 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:34:07.567212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.278122Z digest=sha256:5b112ae756e18233201d1a932eb065f28e0a4b2fe394e5be447088a8385931db

Observation 814945a7-b211-45f5-ac91-0bef687f0112 · outbound

This paper cites Stephany and C.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Stephany and C

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.556021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation edd2bf14-debd-444e-b8f3-720b0deba010 · outbound

This paper cites Hou and Z.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Hou and Z

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.545133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.285773Z digest=sha256:c6a0574ccc5a2c1b4299092eaafb2bcb344091323ed4ed2963a105cc5b7cb00a

Observation fe580a21-bee3-47ab-972e-3f57d42c59f8 · outbound

This paper cites Zhang, S.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Zhang, S

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.534446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.290017Z digest=sha256:3859b3454a19de7f08a31f6a284e3c5ba6340b509df3d662fe870b65c8d12f75

Observation 64b0c906-e672-47c2-bace-7c9435e7546d · outbound

This paper cites an unresolved cited work.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:34:07.522889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.294564Z digest=sha256:b0380f94abb4a9d9d27e123d1bf2c640138eeb277f8f6a6de48b617d16f4535c

Observation 43a15d25-1a4e-44f0-8345-d9feb6f93162 · outbound

This paper cites Raissi, P.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Raissi, P

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T10:34:07.298738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:34:07.298738Z digest=sha256:db3ecb261ca2e3d330e27776fdb93936a11e7e630c2124ad3e67516a734bcd54

Observation 51ea7329-fa96-4d6e-b575-e7325438c6a4 · outbound

This paper cites Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN).

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN)

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:34:07.383895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.302740Z digest=sha256:8ee248fbe40b0ab22a60579143512566d4d5d2b501ce1ebc279ba0906fad0ab0

Observation 85886751-c429-455b-8b7b-2bdc926b99c3 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:34:07.504566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.307139Z digest=sha256:dd84f3bdbbf1b0f897184b92925c50023848a06494c0680d0636c09fe5441134

Observation c8dd2d27-18cc-4aad-be83-0374a74ae036 · outbound

This paper cites Duong and N.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Duong and N

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.493298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.310828Z digest=sha256:387e590c21e951b6a26a5ca30e259a10d0c3ae476c2b23b814ab110a185da49a

Observation 5613b6c2-0bb1-471e-b937-31f723d16f0b · outbound

This paper cites Beckers, J.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Beckers, J

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.482449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.314357Z digest=sha256:c285ab7f032634a311a75b6143311a9341c2cb6d45dc8d46027f7a0d00e671db

Observation 7e79296b-1f97-4d76-a221-34e79e6f1bf5 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:34:07.470881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.318170Z digest=sha256:2e25972cb84b897395fb6d78126378400eb866d175600946bd5bc9c7eee4f8d0

Observation 9cbbc79f-0b76-44bc-b833-076059823559 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:34:07.458542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.322223Z digest=sha256:5f6b9fc137d147b63f5bd39ea579564a357aad35d064c5001513db5dc6e0ed65

Observation c56ea05c-1f82-403c-9e4e-794051e50abc · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T10:34:07.325841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:34:07.325841Z digest=sha256:9269255366e648b4ba225694e7f8b7aa4ca19df538bd1888b7d558b179f4bd4f

Observation 4972ca2e-b41b-4dc9-94b8-b43db2315813 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:34:07.448356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.329582Z digest=sha256:4b3d941b013ec49699d86863574f8d1019affcb2b5345891fe2fee890173df16

Observation 926e2043-b0eb-4269-a4a0-313f8e968632 · outbound

This paper cites Macchelli, A.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Macchelli, A

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.437237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.337789Z digest=sha256:f1e75424e9c4369d3dfdaa804c95717ad136c0fe5e6c7cf61d338dc79300c8c0

Observation f3ab8d7b-a02a-42d3-a9b6-cebd98ab1aff · outbound

This paper cites Van der Schaft, L2-gain and passivity techniques in nonlinear control.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Van der Schaft, L2-gain and passivity techniques in nonlinear control

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.425797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.341616Z digest=sha256:6f9a36b7221ea15adba14b68831526aefb2eceec50ec36b7b73b4e6e8ef156d3

Observation a97e1562-0b36-4f3b-8724-01bb2aff44e7 · outbound

This paper cites o m, A. Wills, and T. B. Sch \.

Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models o m, A. Wills, and T. B. Sch \

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:34:07.412293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T10:34:07.345205Z digest=sha256:1e4c3e51f7a96c083b41010728dbcca2f257367bd24d4e51e84fd48806b62443

Pith citing papers

Observation 7f601000-5db3-4804-9787-4722477f7b95 · inbound

Convolution-weighting method for the physics-informed neural network: A Primal-Dual Optimization Perspective cites this paper.

Convolution-weighting method for the physics-informed neural network: A Primal-Dual Optimization Perspective Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:29:43.877273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:29:43.645791Z digest=sha256:27f0b0b4b79d70ead9026aa54c567778d459253b258f26e5b890c5e252578f87

Observation 54cde6eb-2ad4-48e7-91bc-11d6e9d39505 · inbound

PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems cites this paper.

PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T16:35:15.072744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T16:35:15.072744Z digest=sha256:914eb9740d944e3a4554dc957bddd099328852af8a131f28fa7b8616ae2fc36d