Pith. sign in

Paper Citation Record · LEDGER

Demystifying Embedding Spaces using Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.04475.

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

pith.paper-citation-record.v1
2310.04475 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:03.228702Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T21:02:03.378496Z

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 26667197-5793-4dfb-ab56-2724f60e4960 · inbound

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models cites this paper.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Demystifying Embedding Spaces using Large Language Models

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:02:03.384384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:02:03.228702Z digest=sha256:cd18483f7de2ae701e24c0baf5e55f7fc82e780f388fb72be04db72ae3c86348

Observation 1e2eb57e-d362-434d-8043-7b176e022bf7 · inbound

inversedMixup: Data Augmentation via Inverting Mixed Embeddings cites this paper.

inversedMixup: Data Augmentation via Inverting Mixed Embeddings Demystifying Embedding Spaces using Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T07:00:24.784336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:00:24.784336Z digest=sha256:d50c5d976e9a660c85e76b6a9bce3d03fb2906b7e719bcf818f6219b80ad0793