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Paper Citation Record · LEDGER

Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.07868.

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

pith.paper-citation-record.v1
2112.07868 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:56:55.367570Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:09:14.161722Z

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 87bc0ecc-bf11-4d47-8651-e59d22a27adb · inbound

Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat cites this paper.

Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T04:56:55.367570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:56:55.367570Z digest=sha256:8c69aef4929e7a711ba674e76a00021fd8e2a4de8348d5c1490c61204fafbefa

Observation 7b0b4f43-d097-41b1-944d-4679c6ea13df · inbound

Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale cites this paper.

Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:09:14.232870Z

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.

source=pdf_text observed=2026-08-05T23:09:10.927421Z digest=sha256:3246e050c02b0a6dc952728ca7479d47866ab0cab1b46e6607728b401713f872