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Paper Citation Record · LEDGER

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.07326.

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

pith.paper-citation-record.v1
2311.07326 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:20:43.228176Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T00:33:39.995401Z

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 3809370b-eb38-485e-af92-cbc1d64d9214 · inbound

ChatSR: Multimodal Large Language Models for Scientific Formula Discovery cites this paper.

ChatSR: Multimodal Large Language Models for Scientific Formula Discovery MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:33:39.998788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T00:30:28.026195Z digest=sha256:1a23202341302f3437b2279fa282e8e17423b5e744ed154578521377d3d394da

Observation 644f96da-3968-40a3-accd-5064d486ce81 · inbound

Drag modelling for flows through assemblies of spherical particles with machine learning: A comparison of approaches cites this paper.

Drag modelling for flows through assemblies of spherical particles with machine learning: A comparison of approaches MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:43.228176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:43.228176Z digest=sha256:44c31cf3eff01bb25b990438da1095d6f9c5ef74c8e39dd39c82ab66aef0ae00