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Paper Citation Record · LEDGER

Pre-training via Paraphrasing

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.15020.

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

pith.paper-citation-record.v1
2006.15020 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 2026-05-16T13:48:43.024120Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:48:43.293911Z

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 396af364-7d70-4b05-b41a-f3225eaf7633 · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Pre-training via Paraphrasing

Reference 152

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T13:21:17.230805Z

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=2026-05-12T13:21:16.921001Z digest=sha256:45d626a4e182c021961768855fe089351d7fcaae9380cac79cec7b096223f990

Observation e02ce0f5-eb2e-4ec2-a4dc-b4b73887fd84 · inbound

Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.

Atlas: Few-shot Learning with Retrieval Augmented Language Models Pre-training via Paraphrasing

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:48:43.295563Z

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=2026-05-16T13:48:43.024120Z digest=sha256:ad33231879589f656894d7f9d954fa324c8f097cf38ad19b99272ea9066212e5