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Paper Citation Record · LEDGER

SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.09949.

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

pith.paper-citation-record.v1
2401.09949 v3

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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:17:48.856952Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:26:36.456766Z

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 610f01b7-27ac-41a4-98a8-8f038b801420 · inbound

SymbolFit: Automatic Parametric Modeling with Symbolic Regression cites this paper.

SymbolFit: Automatic Parametric Modeling with Symbolic Regression SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T20:17:48.856952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:17:48.856952Z digest=sha256:687a2010f085f6befd016cd1b210228d29860571aedc93e5caa134dffac858e3

Observation eeeb1489-c4e3-4931-8d51-6af971dfea94 · inbound

$\mathcal{CP}$-Analyses with Symbolic Regression cites this paper.

$\mathcal{CP}$-Analyses with Symbolic Regression SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:26:36.462176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:26:34.387213Z digest=sha256:c781a5b3ea4b683b7d6973b9d9885009cf539b32935ec9a751d1135bfea8cd90

Observation 3352fb4c-f438-4afe-98a9-3b7bce58fc20 · inbound

SparsePixels: Efficient Convolution for Sparse Data on FPGAs cites this paper.

SparsePixels: Efficient Convolution for Sparse Data on FPGAs SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-03T18:18:44.426630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:18:44.426630Z digest=sha256:cc8f435c10e68b1ec7a67d2a9d1b9970cf8604b5ddb315af4f6da71facd16d65