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Paper Citation Record · LEDGER

Simulation Intelligence: Towards a New Generation of Scientific Methods

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2112.03235.

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

pith.paper-citation-record.v1
2112.03235 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:11:09.113478Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:04:38.624398Z

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 c3a2592a-1d7c-4642-ae07-399a5c1e580c · inbound

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics cites this paper.

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 269

Resolution
verified exact
arxiv_id, observed 2026-05-24T10:24:20.437707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T10:22:00.419523Z digest=sha256:e75d700ce7e183a915b230c4df27a75b343d9a6003441cb9045a09d337bad1ce

Observation 575caedb-ac4c-4dc8-902a-066165688e43 · inbound

Partial-differential-algebraic equations of nonlinear dynamics by Physics-Informed Neural-Network: (I) Operator splitting and framework assessment cites this paper.

Partial-differential-algebraic equations of nonlinear dynamics by Physics-Informed Neural-Network: (I) Operator splitting and framework assessment Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:58:34.397481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T22:57:22.329543Z digest=sha256:18da0ea614b827a6f3476b248035f57fa9427dc767ad4840e401942b135f87f1

Observation 67cb20ec-db72-4141-af5b-087e8af2a227 · inbound

Bias and Identifiability in the Bounded Confidence Model cites this paper.

Bias and Identifiability in the Bounded Confidence Model Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:11:09.113478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:11:09.113478Z digest=sha256:52090ed7d9479fec714cec000751185f880f814eb64ea1701f77f5b256151d8b

Observation 05a2dfbe-0956-4d75-a5e1-1a5c30e71b12 · inbound

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents cites this paper.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:13.505614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:12:13.505614Z digest=sha256:5bd2716d42842539909554ede96d7556aca18e5daf71285fca98d82be385d7e9

Observation 21181ae8-f475-4bf2-8932-098eaad50f02 · inbound

A Probabilistic Framework for LLM-Based Model Discovery cites this paper.

A Probabilistic Framework for LLM-Based Model Discovery Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-02T22:03:37.705653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:03:37.705653Z digest=sha256:a34a1395899ec8a7ce8760a9171d26c5363b9814b4307b1f4c905bab0c25108f

Observation 17a43f70-2cbf-4d61-9668-a2cd591d610d · inbound

Adaptation of AI-accelerated CFD Simulations to the IPU platform cites this paper.

Adaptation of AI-accelerated CFD Simulations to the IPU platform Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:41:08.282163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T19:30:00.770821Z digest=sha256:bafe3c5a148a2e1d105aad674897e1f8a4c5b438f58709bedde6c0cb3690629a

Observation cb9082af-0909-47a0-91e2-6514f82d87d0 · inbound

Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition cites this paper.

Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:38.626118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T12:04:11.145829Z digest=sha256:29d3c992e1a9f80137055685f8e03cd11ba56069655abc6a516d2a2e64f12385

Observation 9fd3f226-d8c4-4a70-a997-b17aa92d9839 · inbound

InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate cites this paper.

InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 162

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:46.876173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T22:57:18.895636Z digest=sha256:182c292339c7a99b21c0cf7df24a64bf5e75d0c4358eee30b3074d1fe88e1503