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Paper Citation Record · LEDGER

Contextualized Sparse Representations for Real-Time Open-Domain Question Answering

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.02896.

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

pith.paper-citation-record.v1
1911.02896 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 2026-08-05T06:32:48.257954+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 2026-05-16T13:48:43.281167Z

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 65b7c264-c933-43ac-ad6e-00eb4fbcbfeb · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Contextualized Sparse Representations for Real-Time Open-Domain Question Answering

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-12T13:21:17.386472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T13:21:16.921001Z digest=sha256:c71409b95268a71c6c25d79789467637d75cfc89143dda40bf8776d934587da3

Observation 6a6f71d6-f2da-47cd-9751-812553493c9b · inbound

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

Atlas: Few-shot Learning with Retrieval Augmented Language Models Contextualized Sparse Representations for Real-Time Open-Domain Question Answering

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:48:43.283047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-16T13:48:43.024120Z digest=sha256:488fc29aea1bb3af3a5385a81e5ad70baa09726b1fedb37003cae7c0e0e644ac