Pith. sign in

Paper Citation Record · LEDGER

Neural Machine Translation and Sequence-to-sequence Models: A Tutorial

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1703.01619.

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

pith.paper-citation-record.v1
1703.01619 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:50:07.429570Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T09:59:44.948934Z

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 ccbdd492-332a-4b75-96a1-db9f4bd92b60 · inbound

Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo cites this paper.

Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo Neural Machine Translation and Sequence-to-sequence Models: A Tutorial

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T10:50:07.429570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:50:07.429570Z digest=sha256:50facc03f64ae1b4172be191af8c1fccc7158a759ee1fe12ac36d68e3b4c8d9f

Observation 68b80455-9ffe-4227-ab50-55048998895c · inbound

Intent-Aware Neural Query Reformulation for Behavior-Aligned Product Search cites this paper.

Intent-Aware Neural Query Reformulation for Behavior-Aligned Product Search Neural Machine Translation and Sequence-to-sequence Models: A Tutorial

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:43.596409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:43.596409Z digest=sha256:5f578678f229b6ec443490ecea2fc6f07534638f4f53a6e703382ab6b1607f66

Observation da5003fa-3b3d-4bdb-87c4-f953447777a2 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Neural Machine Translation and Sequence-to-sequence Models: A Tutorial

Reference 193

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T09:59:44.950274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T09:19:50.623741Z digest=sha256:1760bb0303c253479ee2dc42d20017be4cd3366e57e8fb4361ae99344cc3c5b7

Observation 174d80bf-a2a2-44a2-96d2-39e5039d67f3 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Neural Machine Translation and Sequence-to-sequence Models: A Tutorial

Reference 192

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T18:55:59.734443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-29T01:18:19.195007Z digest=sha256:2d7cab81e6bcb6fbf033910ec044808e6d69da074d1faf170f39f21188624345