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Paper Citation Record · LEDGER

Hierarchical Recurrent Attention Network for Response Generation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1701.07149.

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

pith.paper-citation-record.v1
1701.07149 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:31:41.329824Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:36:43.548514Z

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 19bfd3e1-527e-44d3-96c7-99c27b6a45ee · inbound

Deep Learning Based Chatbot Models cites this paper.

Deep Learning Based Chatbot Models Hierarchical Recurrent Attention Network for Response Generation

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-14T11:31:41.329824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:31:41.329824Z digest=sha256:4df03440b16b2e43ac7e47d57c163009242a87ebe247e5ba8c0f0a0be13759f3

Observation 5161494b-3e1d-44c3-b8cd-af37e91dcef6 · inbound

Adversarial Bootstrapping for Dialogue Model Training cites this paper.

Adversarial Bootstrapping for Dialogue Model Training Hierarchical Recurrent Attention Network for Response Generation

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:36:43.555582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:36:43.462209Z digest=sha256:91163775e16804f2d1579a46ef1c2bfa2374d0895d478371e09974e7a826244c