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Paper Citation Record · LEDGER

Modeling Coverage for Neural Machine Translation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1601.04811.

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

pith.paper-citation-record.v1
1601.04811 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:32:12.277249Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:19:38.597658Z

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 1e8bdb80-97e7-4bf1-8c39-f0ce510d9713 · inbound

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation cites this paper.

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation Modeling Coverage for Neural Machine Translation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-14T13:32:12.277249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:32:12.277249Z digest=sha256:6bafd6c07b1081e7e02cb4ea2b82565736eebc227a4aaaee0c8bbad28b943ac2

Observation c37936bf-c3fe-4cd0-8241-f883320f75c6 · inbound

Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding cites this paper.

Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding Modeling Coverage for Neural Machine Translation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T13:00:33.245310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:00:33.245310Z digest=sha256:dc34284dd5eec8d96fff313569f13d85b7232a30628858689f315e365d0e312a

Observation 7e371a6c-af63-4450-9335-d963a533da96 · inbound

Topic Augmented Generator for Abstractive Summarization cites this paper.

Topic Augmented Generator for Abstractive Summarization Modeling Coverage for Neural Machine Translation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T12:33:50.174543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:33:50.174543Z digest=sha256:838484dce66028188d540cc628a4ead5ddbd3f4e4784563a64378bc4ea767737

Observation 1c5ec9a6-5e00-440d-9d35-411b307781b1 · inbound

Improving Multi-Head Attention with Capsule Networks cites this paper.

Improving Multi-Head Attention with Capsule Networks Modeling Coverage for Neural Machine Translation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T06:05:18.224775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.224775Z digest=sha256:ed883960f13415f441066fa8a2936c11627eb24bd3ebbb4ca2262a5bf614c2a5

Observation 99421633-5061-4821-9442-9f7a34f7584a · inbound

Repurposing Decoder-Transformer Language Models for Abstractive Summarization cites this paper.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Modeling Coverage for Neural Machine Translation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T05:59:39.663778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:59:39.663778Z digest=sha256:98aafcd57f8be8074956fd75747cd41a9f80ce7f969623b835933fd1be040286

Observation bac4c9fd-9dc7-40d4-a63c-b1f881756c69 · inbound

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language cites this paper.

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language Modeling Coverage for Neural Machine Translation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T18:46:07.296666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:46:07.296666Z digest=sha256:f4bc00b2e63958153307d662e390b4efc00f677257eb0727aab69ca370cfa68f

Observation 01d523f7-9f2c-4555-bfcf-f9d89408597d · inbound

Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition cites this paper.

Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition Modeling Coverage for Neural Machine Translation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T16:50:58.260377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:50:58.260377Z digest=sha256:64f4e21ca05d51af2fd92439db8090da64416c9b1958764578ce2e95e6aa0782

Observation 4383d1b8-fced-4c2c-9863-e24911846437 · inbound

MFH: Marrying Frequency Domain with Handwritten Mathematical Expression Recognition cites this paper.

MFH: Marrying Frequency Domain with Handwritten Mathematical Expression Recognition Modeling Coverage for Neural Machine Translation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:19:38.674747Z

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=pdf_text observed=2026-08-06T21:19:37.142786Z digest=sha256:e5ef0ed22c45e03f4be7eade545d61e679c018636bd816b324550d6b9455a0f2