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Paper Citation Record · LEDGER

A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2007.08742.

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

pith.paper-citation-record.v1
2007.08742 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:50:07.534611Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:36:01.131323Z

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 fa021ec0-6fad-4c8a-b8a1-2c2c2dbf7181 · 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 A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-16T10:50:07.534611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:50:07.534611Z digest=sha256:e9caeca43e4a70c9a4de99108b1fbc82b929b5754e9e4865ddb065f1604cdb2f

Observation 628cc2c2-6717-4469-9902-218b58ca59a3 · inbound

CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design cites this paper.

CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T01:07:38.737739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:07:38.737739Z digest=sha256:29bac46d6fcb2e2b97f7b7cff7ce8f3502affeb86e9fb642aec697de5211089d

Observation 281336bf-bec2-491c-bd9d-100e4acbbccd · inbound

TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for Documentaries cites this paper.

TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for Documentaries A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T23:02:43.963024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:02:43.963024Z digest=sha256:5cefc21feef5c936122b25ef942799d30e0409df67b9e5f35fb1f4569ea38f5a

Observation 27dbc1e3-80ce-40df-b7d1-1df5cb4950fe · inbound

Video-guided Machine Translation with Global Video Context cites this paper.

Video-guided Machine Translation with Global Video Context A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:36:01.135269Z

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=2026-05-10T18:02:31.374359Z digest=sha256:59308473325d7ac53a30aeb3384f93c4ab799a85264e725d369aecd034eed6e6

Observation 6f346b09-51ce-4e14-b9da-d5a514f1e8bf · inbound

VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation cites this paper.

VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:50:25.961804Z

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=2026-05-08T19:34:02.860270Z digest=sha256:854fadc02a5057a47e954152221606febade1422d2cfe4386715b78b9d84fe4a