Paper Citation Record · LEDGER

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.01808.

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

pith.paper-citation-record.v1
2002.01808 v5

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:52:44.960472Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:28:05.157795Z

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 60c53857-cf76-4bc4-b2a7-dccc187299cc · inbound

Automatic Demonstration Selection for LLM-based Tabular Data Classification cites this paper.

Automatic Demonstration Selection for LLM-based Tabular Data Classification K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:44.960472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32465c0f-736e-4da6-96a5-b368b50063f0 · inbound

Position: How can Graphs Help Large Language Models? cites this paper.

Position: How can Graphs Help Large Language Models? K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:10:43.056675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ada248b4-a05f-4d03-87c2-859eb9e25ba7 · inbound

KoRe: Compact Knowledge Representations for Large Language Models cites this paper.

KoRe: Compact Knowledge Representations for Large Language Models K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:28:05.161121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1cf6bc97-7aaa-486b-bbdf-2d3f23a6d376 · inbound

KoRe: Compact Knowledge Representations for Large Language Models cites this paper.

KoRe: Compact Knowledge Representations for Large Language Models K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T13:39:15.465571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.