Pith. sign in

Paper Citation Record · LEDGER

Quantifying and maximizing the information flux in recurrent neural networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.12892.

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

pith.paper-citation-record.v1
2301.12892 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:17.475456Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T19:26:30.240350Z

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 5fe9cef3-8509-4492-ad73-250395a3b674 · inbound

Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT cites this paper.

Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT Quantifying and maximizing the information flux in recurrent neural networks

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:17.475456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:17.475456Z digest=sha256:8585d01e842745fcc8b183e632dc0ea46b3d8ce810ce55f371c6786ca6864eca

Observation bba8cb94-faf5-4ee9-9584-ae7c915a3b22 · inbound

Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions cites this paper.

Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions Quantifying and maximizing the information flux in recurrent neural networks

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:26:30.247833Z

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=2026-08-10T19:26:30.191243Z digest=sha256:b746f888d129ce17075de36362633729f87cddee78a5cf403569ad7625fb9da2