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Paper Citation Record · LEDGER

DDK: Distilling Domain Knowledge for Efficient Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:30:52.812878Z

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 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.

source=pdf_text observed=2026-08-08T16:30:52.812878Z digest=sha256:1f86e9e67617f25037f72c60f8a0871531f0788c7d4e5b6f7a3c3cd0255d2e3d

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.

source=arxiv_source observed=2026-08-05T11:47:20.044865Z digest=sha256:ebfd8715e2b455559d2949478453809bf827915c9be58e7d3a433611894f161b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:11:23.369581Z digest=sha256:addf6ab5cb99f4fb3648837bc58438cdcb3a20dcc5349fde9dd40b9ad0406c20