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Paper Citation Record · LEDGER

RAFT: A Real-World Few-Shot Text Classification Benchmark

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2109.14076.

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

pith.paper-citation-record.v1
2109.14076 v3

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:49:12.237357Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d14a40ff-b962-4ac6-a57c-8e3a5449fd3f · inbound

GAIA: a benchmark for General AI Assistants cites this paper.

GAIA: a benchmark for General AI Assistants RAFT: A Real-World Few-Shot Text Classification Benchmark

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:46:03.426327Z

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.

source=arxiv_source observed=2026-05-12T15:46:03.247029Z digest=sha256:30ccc43335b0b39c4b53c34a51d08079b66f095e87f3bd4d89477e9529096599

Observation ff5c76f0-f918-4ccc-93fa-93725ff048de · inbound

It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers cites this paper.

It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers RAFT: A Real-World Few-Shot Text Classification Benchmark

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T00:49:12.237357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:49:12.237357Z digest=sha256:be86f60156350a09b68abe990fb8c1c24f7d4a225d9c9fbea2abebb6a6a081a9

Observation 84023b79-4ed5-437f-a4be-7672f02138b0 · inbound

Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction cites this paper.

Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction RAFT: A Real-World Few-Shot Text Classification Benchmark

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T20:26:40.691282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:26:40.691282Z digest=sha256:f720faad06a7f21ff1c271dfb8c6dcb5cfaa54c88982e8acebb317d870b601bf