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Paper Citation Record · LEDGER

Learning to Perturb Word Embeddings for Out-of-distribution QA

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.02692.

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

pith.paper-citation-record.v1
2105.02692 v3

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:06.222737Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:26:10.494971Z

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 be148834-ba8b-496e-982e-2857628ee156 · inbound

Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy cites this paper.

Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy Learning to Perturb Word Embeddings for Out-of-distribution QA

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T14:11:06.222737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:11:06.222737Z digest=sha256:59f5c14c42d2681f71bbcd7fd1d45a1cd1c4463044eea95ff98b2a90a89203c3

Observation 08071358-c136-4118-918b-b4b498dd3698 · inbound

FPAN: Mitigating Replication in Diffusion Models through the Fine-Grained Probabilistic Addition of Noise to Token Embeddings cites this paper.

FPAN: Mitigating Replication in Diffusion Models through the Fine-Grained Probabilistic Addition of Noise to Token Embeddings Learning to Perturb Word Embeddings for Out-of-distribution QA

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:26:10.565999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:26:05.590048Z digest=sha256:b84b7e245e1db8c1db3a9ed85c3993cb233af4dad69d64b110e5861811110ce0