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Paper Citation Record · LEDGER

Muppet: Massive Multi-task Representations with Pre-Finetuning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.11038.

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

pith.paper-citation-record.v1
2101.11038 v1

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T09:51:46.701149Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T09:51:46.872291Z

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 8ae22b4f-bf44-480f-8c36-a94585c51c37 · inbound

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? cites this paper.

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Muppet: Massive Multi-task Representations with Pre-Finetuning

Reference 189

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:51:46.874083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-15T09:51:46.701149Z digest=sha256:af82172a31390c000bca564c70b5f4974880d69f3053b774a28668c46fb498e3

Observation 92685938-e42e-4555-887f-b7ca99e6e5a5 · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Muppet: Massive Multi-task Representations with Pre-Finetuning

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:29:48.267446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-15T05:25:38.967645Z digest=sha256:92e9f7e2b84996d5593eb6bd941f1210642625da5d88c02e4807beefc6e39bed