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Paper Citation Record · LEDGER

Learning to Generate Task-Specific Adapters from Task Description

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.00420.

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

pith.paper-citation-record.v1
2101.00420 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:23.512717Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:57:29.541536Z

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 abec37d6-f4a2-445b-8432-2d0d0fad9543 · inbound

Cross-Task Generalization via Natural Language Crowdsourcing Instructions cites this paper.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Learning to Generate Task-Specific Adapters from Task Description

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.543992Z

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=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:17b2814f4ef5d6bcda22d348fed26014e4546a352a44469e2ac23180c6082cca

Observation 5c73e39c-e67a-4057-8758-4ba43943c7b7 · inbound

Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones cites this paper.

Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones Learning to Generate Task-Specific Adapters from Task Description

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:23.512717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:20:23.512717Z digest=sha256:29caaeee26b788fa47112ef9c27e99c072f119acb1863f7d43c1907bd67bb665