Paper Citation Record · LEDGER

DDK: Distilling Domain Knowledge for Efficient Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.16154.

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

pith.paper-citation-record.v1
2407.16154 v1

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:03:46.740972Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:11:26.734796Z

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 bfff79bd-752e-4c4b-b909-84429c0052bf · inbound

Quantification of Large Language Model Distillation cites this paper.

Quantification of Large Language Model Distillation DDK: Distilling Domain Knowledge for Efficient Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T17:03:46.740972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ef83bb0-a3d8-445c-bf2e-4c73de779ecf · inbound

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures cites this paper.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures DDK: Distilling Domain Knowledge for Efficient Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T16:30:52.812878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a7dcb86-b5b3-4fd7-b943-5e2d19820f02 · inbound

Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size? cites this paper.

Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size? DDK: Distilling Domain Knowledge for Efficient Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T11:47:20.044865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079738fa-d7a8-4aa4-a1ba-ec9a5e965186 · inbound

A Survey of the State-of-the-Art in Conversational Question Answering Systems cites this paper.

A Survey of the State-of-the-Art in Conversational Question Answering Systems DDK: Distilling Domain Knowledge for Efficient Large Language Models

Reference 72

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T05:11:26.739465Z

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.