Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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=sha256:0bbbe7cd64992ca4ab1762292b66b91169b4a8b16a81b20fb7e5df5b04ae1d79

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:c712603d87a55efbbc954913d9abe1bd86f5b5c5c846ce3a57d8761e53f5a300

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T09:19:50.623741Z digest=sha256:5bc4b4936c949649e227a4a787bab5dc2edcf73cefc310fa709d69e86f957844

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-29T01:18:19.195007Z digest=sha256:517cafbe14b1f0e58896e994572c42f3e48fefb6cf6e94aa0158ca10fea04bda