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Paper Citation Record · LEDGER

AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.01433.

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

pith.paper-citation-record.v1
2310.01433 v1

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 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:55:34.352642Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:15:51.786547Z

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 0ec77518-a373-4e78-93c0-2f9343b4a814 · inbound

Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks? cites this paper.

Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks? AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T00:55:34.352642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:55:34.352642Z digest=sha256:5a4d587abedc31849fceb2d0e83f482309b6028814b0e0b13ed583e5ea01e388

Observation 20b57fce-b1da-47e8-9a0e-ead51d4ea919 · inbound

About rectified sigmoid function for enhancing the accuracy of Physics-Informed Neural Networks cites this paper.

About rectified sigmoid function for enhancing the accuracy of Physics-Informed Neural Networks AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T23:15:24.620941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:15:24.620941Z digest=sha256:59b5c106bfe310d350b6d6039e592247d7bc090b6013fcc021528e2053157111

Observation 0fd4bca9-bde5-47ea-9ba8-0e2ee4b3be39 · inbound

Data-driven discovery of dynamical models in biology cites this paper.

Data-driven discovery of dynamical models in biology AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification

Reference 243

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T23:15:51.793625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-04T23:15:51.301863Z digest=sha256:f6a9935d53aa2b7f183e24c9f52599b062c51f214f5f5eb37b9ac289228ef736