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Paper Citation Record · LEDGER

Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2210.03155.

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

pith.paper-citation-record.v1
2210.03155 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:07:15.456726Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:07:17.261239Z

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 180cf9db-c78b-4872-8830-fad77d15cc1c · inbound

MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper cites this paper.

MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T13:07:17.401770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T13:07:15.456726Z digest=sha256:457f3fe4feec3328f08d081d4de0f1cc3140831e4b3339593d486b635ffa6082