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Paper Citation Record · LEDGER

ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.03402.

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

pith.paper-citation-record.v1
2408.03402 v1

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:45:11.000763Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:18:38.901132Z

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 e34d4e79-e7ea-42f2-a189-25b474a19fe2 · inbound

LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models cites this paper.

LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T22:45:11.000763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:45:11.000763Z digest=sha256:815c1e3e4d3e797b6fb14dae187db258badedc49016e38a1aed2e793635ce385

Observation 7662e193-93df-4a2c-8125-02808fe02e92 · inbound

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning cites this paper.

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:18:38.962791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:18:25.778853Z digest=sha256:0436206637a2491102f89c8ae99288d87470db49d619370c15ca232bd41167e6