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Paper Citation Record · LEDGER

FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1711.07341.

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

pith.paper-citation-record.v1
1711.07341 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:25:16.245221Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T10:57:01.647231Z

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 ea233c72-cfd6-40b6-8ccf-1a2a54d7c7cf · inbound

FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension cites this paper.

FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T13:25:16.245221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:25:16.245221Z digest=sha256:bb7f718ce8a518cdcfe074265a38a7443b0a1bd741f46157b1211bc48f85e1a5

Observation 1a17fa56-b3da-4bfe-9146-f562e0460e52 · inbound

Attentive History Selection for Conversational Question Answering cites this paper.

Attentive History Selection for Conversational Question Answering FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T11:16:42.390632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:16:42.390632Z digest=sha256:37e522d0af9a1470e46d96438157dea6cbf746e59698ae086a61a6792f8235ce

Observation 0bb31357-0d5f-47be-a7eb-08c41d2ee0c3 · inbound

Ensemble approach for natural language question answering problem cites this paper.

Ensemble approach for natural language question answering problem FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T11:08:01.908126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:08:01.908126Z digest=sha256:8ecefe2e6d13ff81dbcaf406dee42057377ff8ad5513fd74fc4286fd41c429ca

Observation a7f50246-ae40-40d9-811e-9d5f9ad278f4 · inbound

QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization cites this paper.

QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T06:01:44.281685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T06:01:44.281685Z digest=sha256:fa0ad8b2e1517f3d31aa9fa5820e0a0f3273142832dcf85f3db08cc1aaa55cbf

Observation 3d6413b3-e0b2-4f85-a94a-efcb695a24d4 · inbound

Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling cites this paper.

Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-11T10:57:01.650842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T10:57:01.224213Z digest=sha256:0033d554d344e6a06511873a044a10d9e08ddfcc4adb74a243db2c263a228356