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Paper Citation Record · LEDGER

Knowledge Distillation of Black-Box Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.07013.

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

pith.paper-citation-record.v1
2401.07013 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:59:54.797465Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:39:04.696308Z

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 23790d42-12d6-44d5-af81-ab52eb1061f5 · inbound

Self-Evolution Knowledge Distillation for LLM-based Machine Translation cites this paper.

Self-Evolution Knowledge Distillation for LLM-based Machine Translation Knowledge Distillation of Black-Box Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T11:59:54.797465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:59:54.797465Z digest=sha256:dc4c646cc0f542cf15c6b8dd89a2ccf7f971eb57276ccef57b6676438bc503ef

Observation 14285c21-d0ad-49fb-946a-5807509d2a78 · inbound

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought cites this paper.

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought Knowledge Distillation of Black-Box Large Language Models

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:39:04.865329Z

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=2026-08-07T12:39:01.590937Z digest=sha256:399031bb168b4907c232537ca9e8d2405423a7043b0f5624abe56084ede76053