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Paper Citation Record · LEDGER

Learning Recurrent Span Representations for Extractive Question Answering

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1611.01436.

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

pith.paper-citation-record.v1
1611.01436 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T06:54:31.175090Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-18T06:54:31.427239Z

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 ac9987fe-86e6-43ba-89f9-8d08cd79d59c · inbound

REALM: Retrieval-Augmented Language Model Pre-Training cites this paper.

REALM: Retrieval-Augmented Language Model Pre-Training Learning Recurrent Span Representations for Extractive Question Answering

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:59:16.199936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T09:59:16.120886Z digest=sha256:b97c017f1095b698c12af5cdc0fed74080b1f56ebd19fca0ecdeda00bd0952e3

Observation 3906eb7e-9571-45cc-a2f1-33f46020b141 · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models Learning Recurrent Span Representations for Extractive Question Answering

Reference 101

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T20:53:17.436762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:7fe7f3b912f1c718dc3425332f0e35190ab8c9fbc8fd9068b7e65eecf4b3e5a1

Observation 6dcc5095-bf43-4dd6-9578-8965a409f26f · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs Learning Recurrent Span Representations for Extractive Question Answering

Reference 246

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T06:54:31.429189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T06:54:31.175090Z digest=sha256:0f5cd88463bb43e265d41b4ecfe8438f7fb357bbe0ba637c5d86986ef425292f