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Paper Citation Record · LEDGER

Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1711.07970.

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

pith.paper-citation-record.v1
1711.07970 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:26:32.699256Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:12:02.397409Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 415ab60e-19fc-4b46-837a-cad367cb0e05 · inbound

NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data cites this paper.

NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T14:26:32.699256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:26:32.699256Z digest=sha256:688642f444481e9e3f8ad0cd968ad8377f3278c328182b146fa4931517c1ba19

Observation e68031e8-291c-4348-b41d-272c913c33fd · inbound

Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems cites this paper.

Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T05:38:38.712031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:38:38.712031Z digest=sha256:0b058f944545686865ea9e58785847652b8e2fec781562f8de0475ff4cb70bc0

Observation 3ce47653-f9bd-4a11-81a6-9f3eaf8a1740 · inbound

The wall confronting large language models cites this paper.

The wall confronting large language models Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:12:02.401850Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:12:02.048703Z digest=sha256:abd5d121287dcc806b811bafd8335d5d5622d0602077ee8781116628e0e98682