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Paper Citation Record · LEDGER

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning

As of 13 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2507.15787.

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

pith.paper-citation-record.v1
2507.15787 v3

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:30:27.057692Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:45:05.606735Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:56:56.951361Z

Reference resolution

18 of 18 outbound references displayed

  • verified exact3
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e37f44c4-4ee1-4ba4-bb1e-133d03c73a40 · outbound

This paper cites Differentiable programming across the PDE and Machine Learning barrier.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Differentiable programming across the PDE and Machine Learning barrier

Reference 2

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unresolved
no resolver link, observed 2026-08-06T15:30:27.002207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.002207Z digest=sha256:f6e0454499a9580a3e0a877006262e61c4742210e0777c81707f15c7450837a4

Observation 29f4aae2-aa9f-46b7-bf0a-6f6db8a96eb8 · outbound

This paper cites & Regazzoni, F.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning & Regazzoni, F

Reference 3

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unresolved
no resolver link, observed 2026-08-06T15:30:27.006536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.006536Z digest=sha256:56e5bccefb4a38b4495c3b35504c4a7ad5aecd33c4a7dab7c838a6783c04817b

Observation a873744a-43dc-42f5-af82-55a884538faf · outbound

This paper cites Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:30:27.151219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 71549dbe-c1dc-4455-b9d6-f6bc619808db · outbound

This paper cites Physics-driven machine learning models coupling PyTorch and Firedrake.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Physics-driven machine learning models coupling PyTorch and Firedrake

Reference 5

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unresolved
no resolver link, observed 2026-08-06T15:30:27.013534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.013534Z digest=sha256:11753e0e710a6cc33303ca02f0cefc9872da395cc87d9382a8d254def6969292

Observation 1e2c98ee-7d79-4074-bc97-97bd392bc670 · outbound

This paper cites & Bouziani, N.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning & Bouziani, N

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T15:30:27.312969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 28344086-ab74-46f5-a563-cea1ad8492af · outbound

This paper cites InInternational Conference on Learning Representations(2021).

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning InInternational Conference on Learning Representations(2021)

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T15:30:27.303590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:30:27.020066Z digest=sha256:f564ceb8742db874d53533acf5fa6d2cac408a3c3f66a26f1a60724e8e643f01

Observation ef7446d0-ddcf-4da5-95c6-c375b07f8f1b · outbound

This paper cites Physics-Informed Neural Operator for Learning Partial Differential Equations.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Physics-Informed Neural Operator for Learning Partial Differential Equations

Reference 8

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unresolved
no resolver link, observed 2026-08-06T15:30:27.024022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.024022Z digest=sha256:f30757223dd985ca7c870252f6dfe37e8b6b59aa2de69a1fd8afad9e8673fdf4

Observation 90d368d4-6b9c-4540-9962-968d5292e51f · outbound

This paper cites Structure-Preserving Operator Learning.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Structure-Preserving Operator Learning

Reference 9

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malformed identifier
no resolver link, observed 2026-08-06T15:30:27.027119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.027119Z digest=sha256:9371b7723e8a9c08dbf3bb764df21ac1fc3d241761c9b86201195f8ac56bce3c

Observation 20cbd25d-14fa-44a7-9cea-0b63d4021531 · outbound

This paper cites an unresolved cited work.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:30:27.030167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.030167Z digest=sha256:46439a4152580c6b04a98f34dca921d85110343c0142c809580c4abeda9e1d5b

Observation c86dbb4b-1c27-4907-91e8-254494044b20 · outbound

This paper cites Escaping the abstraction: a foreign function interface for the Unified Form Language [UFL].

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Escaping the abstraction: a foreign function interface for the Unified Form Language [UFL]

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:30:27.118434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1b93bbb9-f219-4f8a-8b92-b71a60fa4bbd · outbound

This paper cites InAdvances in Neural Information Processing Systems, vol.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning InAdvances in Neural Information Processing Systems, vol

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T15:30:27.294782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:30:27.036171Z digest=sha256:1f6c54ab08829c5d6b178c29420a8205ed588b9b7997959d4ae968bb512bf5d6

Observation 53299a0e-6fd2-4949-a152-45db4b1133d8 · outbound

This paper cites http://github.com/google/jax (2018).

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning http://github.com/google/jax (2018)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:30:27.285237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 78c9b3e2-7fa5-4142-8260-d4c9fda5ef42 · outbound

This paper cites & Salehipour, H.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning & Salehipour, H

Reference 15

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T15:30:27.251544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:30:27.041650Z digest=sha256:76fd091f5c2132e8a7824e8244aaf0a87d33f5a186cd423b2c5e28368808b1a8

Observation 186cb9f4-6a5b-4f6e-ab8b-11658909ca7f · outbound

This paper cites Learning to Control PDEs with Differentiable Physics.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Learning to Control PDEs with Differentiable Physics

Reference 16

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unresolved
no resolver link, observed 2026-08-06T15:30:27.044492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.044492Z digest=sha256:040cec71f2d21941e1101e3821d59f73411f4986a30fa8d98e9d8197d28ab8ad

Observation d2b6ac7a-926e-42fc-ad54-9ba305dd8847 · outbound

This paper cites an unresolved cited work.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T15:30:27.048376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.048376Z digest=sha256:6ef4d31d097e8e34e96c2ed1ce2d415219d6fdf9ae7a382ecd8d242db8db0595

Observation b27a177e-9658-4892-9d42-b5d54809273d · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Universal Differential Equations for Scientific Machine Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:30:27.051243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.051243Z digest=sha256:1feb332be36bcce0e89935443ba78f9403f030d10eae853af122bb5ca2c48062

Observation 784654b7-3ad9-45e2-9010-39ff6cce31b9 · outbound

This paper cites an unresolved cited work.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:30:27.276350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:30:27.054933Z digest=sha256:73ecddb0f58da49408e473b4081e05f59b21b4f4715095fe564e0844dc5eb79b

Observation 46077744-dabf-4281-b51e-c1da22135762 · outbound

This paper cites Reports7, 46190, DOI: 10.1038/srep46190 (2017).

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Reports7, 46190, DOI: 10.1038/srep46190 (2017)

Reference 20

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verified exact
doi, observed 2026-08-06T15:30:27.083910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

Observation 42acede7-99ae-4b9e-900e-5d85fd593116 · inbound

Integrating Mechanistic and Data-Driven Models for Neurological Disorders through Differentiable Programming cites this paper.

Integrating Mechanistic and Data-Driven Models for Neurological Disorders through Differentiable Programming Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning

Reference 42

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verified exact
arxiv_id, observed 2026-07-20T01:18:18.179451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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