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Paper Citation Record · LEDGER

Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1711.11221.

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

pith.paper-citation-record.v1
1711.11221 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:53:09.549184Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:16:03.850769Z

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 33c82afc-1bb7-4111-89f6-319f15826091 · inbound

Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation cites this paper.

Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T05:53:09.549184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:53:09.549184Z digest=sha256:8f5cef012403a424dc3b126543985ba7927d40731aac13b83e5dd1601991d400

Observation 55f48e96-73a2-4f6b-af3a-a4e1fc63d550 · inbound

GRAFT: A Graph-based Flow-aware Agentic Framework for Document-level Machine Translation cites this paper.

GRAFT: A Graph-based Flow-aware Agentic Framework for Document-level Machine Translation Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:47.107889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:17:47.107889Z digest=sha256:4c3e20456485c683bb6618e7852d2c403601dba099be2c403682556ee6bbe12a

Observation ae93288f-d52a-4b77-9f45-1ad5d039b45a · inbound

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling cites this paper.

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:50:37.083111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T23:11:59.716468Z digest=sha256:e0824b3b6aa881a14646a9438f09aeae7c7bf139f2efca94423e232fe127f3c9