Paper Citation Record · LEDGER

PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.12842.

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

pith.paper-citation-record.v1
2402.12842 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:59:54.848616Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T09:39:57.333227Z

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 2cb93f95-bc79-4d1c-9664-071f35184a06 · inbound

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

Self-Evolution Knowledge Distillation for LLM-based Machine Translation PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T11:59:54.848616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5079aeb4-3010-4a7a-b30e-1bacc08cb956 · inbound

On Teacher Hacking in Language Model Distillation cites this paper.

On Teacher Hacking in Language Model Distillation PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T11:34:56.937688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2874d939-879e-4c27-a15e-06d26e7a51a5 · inbound

A Survey of On-Policy Distillation for Large Language Models cites this paper.

A Survey of On-Policy Distillation for Large Language Models PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:08:25.276987Z

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.

Observation d5eee8fe-7fe3-40e5-82e0-a6a643eed891 · inbound

A Survey of On-Policy Distillation for Large Language Models cites this paper.

A Survey of On-Policy Distillation for Large Language Models PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T09:39:57.334912Z

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.