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Paper Citation Record · LEDGER

A BERT Baseline for the Natural Questions

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1901.08634.

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

pith.paper-citation-record.v1
1901.08634 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:58:53.133516Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T18:40:50.417320Z

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 f74aad54-9e40-43cc-ada8-6b5ce92a081f · inbound

On Identifiability in Transformers cites this paper.

On Identifiability in Transformers A BERT Baseline for the Natural Questions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T13:58:53.133516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:58:53.133516Z digest=sha256:e2dd9b1053c10e398f9f5510e3b249cd7ee2cbffef8aa39d3fe319b0e0f6e90d

Observation 3681cc61-7265-4289-8d2f-5698f389ed9e · inbound

CFO: A Framework for Building Production NLP Systems cites this paper.

CFO: A Framework for Building Production NLP Systems A BERT Baseline for the Natural Questions

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T12:58:19.018872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:58:19.018872Z digest=sha256:850ffda32f87434b35fb704c3740219f6061c14452f7eb9d6247a372a3718d6e

Observation e2628c6d-2165-4f58-9042-c88a7408f3d6 · inbound

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering cites this paper.

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering A BERT Baseline for the Natural Questions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T11:50:52.441891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:50:52.441891Z digest=sha256:a360b83614bacb8899cde27167b3a83711b7ebe8f46a44e4ae22995be44e8920

Observation ebfad783-1148-4eed-a425-29aba4d584ac · inbound

Multi-Granularity Representations of Dialog cites this paper.

Multi-Granularity Representations of Dialog A BERT Baseline for the Natural Questions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T11:03:51.030533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:03:51.030533Z digest=sha256:1dfa364844022fdbbc8b2595e74083a20000ddf571db3621204c800f1495cbd1

Observation ca0d7500-8072-4c71-b48c-4ad24ab39138 · inbound

Better Rewards Yield Better Summaries: Learning to Summarise Without References cites this paper.

Better Rewards Yield Better Summaries: Learning to Summarise Without References A BERT Baseline for the Natural Questions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T05:28:34.572080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:28:34.572080Z digest=sha256:558ff3681b359b262b2175ca6f37930787551e71a0f768fffe3f2a74b00b0432

Observation a4230a81-33ee-492e-b264-38a441497128 · inbound

Agentic AI-Driven Technical Troubleshooting for Enterprise Systems: A Novel Weighted Retrieval-Augmented Generation Paradigm cites this paper.

Agentic AI-Driven Technical Troubleshooting for Enterprise Systems: A Novel Weighted Retrieval-Augmented Generation Paradigm A BERT Baseline for the Natural Questions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T14:25:38.558656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:25:38.558656Z digest=sha256:c3e90fe48c2b8591eb88b40c6719b434c8bfe3d460546dbbd693553bfecadf55

Observation 0674c55d-a792-44bc-a066-f4f42c468349 · inbound

Humanity's Last Exam cites this paper.

Humanity's Last Exam A BERT Baseline for the Natural Questions

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T18:40:50.419005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:40:50.139345Z digest=sha256:69e522419a614d225859184bfbe23566a8f3b398cef573ce5eb513107cb12340