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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=sha256:75b98b4df3b678b618b04651d055ce6a370b514a3b54876d95b236d9a66d0b9f

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=sha256:01d50f7d871c2aaf4691b473217ced11b473981025e1b1cbba83816533c4b4cb