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Paper Citation Record · LEDGER

LLM-Vectorizer: LLM-based Verified Loop Vectorizer

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.04693.

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

pith.paper-citation-record.v1
2406.04693 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:34:34.828217Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:41:57.252679Z

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 beadc79d-20eb-4055-9c42-e6e8dd0ae155 · inbound

Language Models for Code Optimization: Survey, Challenges and Future Directions cites this paper.

Language Models for Code Optimization: Survey, Challenges and Future Directions LLM-Vectorizer: LLM-based Verified Loop Vectorizer

Reference 128

Resolution
unresolved
no resolver link, observed 2026-08-10T22:34:34.828217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:34.828217Z digest=sha256:2b48748fea60e61696ebd5d28c94769289cbcd6c9230c2d0c9f22484855865a2

Observation d03c4e44-1332-4e26-a3bc-94a0fe358c32 · inbound

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning cites this paper.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning LLM-Vectorizer: LLM-based Verified Loop Vectorizer

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:41:57.259086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:41:57.119467Z digest=sha256:b22c6e3e9c0181d95e7b3cf3152dbb2c45ea8e710fd38589cd2d1de74d340139