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Paper Citation Record · LEDGER

A Compare-Aggregate Model for Matching Text Sequences

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1611.01747.

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

pith.paper-citation-record.v1
1611.01747 v1

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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:57.878230Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T00:46:30.619478Z

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 643e4a44-8956-4cb7-b035-d364378c1891 · inbound

To Tune or Not To Tune? How About the Best of Both Worlds? cites this paper.

To Tune or Not To Tune? How About the Best of Both Worlds? A Compare-Aggregate Model for Matching Text Sequences

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-25T00:46:30.621746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T00:45:10.865484Z digest=sha256:54955569e5389fa66c339b77b8ac7bbc48e46dfb431419b00f84f5728d9bdcae

Observation 8766294e-9b1e-41e5-9c01-332cbe42afa4 · inbound

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks cites this paper.

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks A Compare-Aggregate Model for Matching Text Sequences

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:39.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:39.773672Z digest=sha256:e825d0a63729e8880fe37b913c01bdba850af262aebe7fcd3f75c98c6710e50b

Observation d7beaeaf-4fbd-41bd-954f-04a1d944f24c · inbound

FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models cites this paper.

FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models A Compare-Aggregate Model for Matching Text Sequences

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T10:38:57.878230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:38:57.878230Z digest=sha256:0abcf3d11cd0b9765c201025698f461f3040b27ebc67b2114653ae4e8b05e17b