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Paper Citation Record · LEDGER

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1902.08295.

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

pith.paper-citation-record.v1
1902.08295 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 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:55:27.922830Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T04:49:31.226336Z

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 4e3c4bd9-59d6-43b4-8bb0-7df90e7fb54c · inbound

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation cites this paper.

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T05:55:27.922830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:55:27.922830Z digest=sha256:a977f908bcbddef014c22e67a3d75fccfc92ec7bce76971148db80ce9e7f11e5

Observation 33035c9f-49a0-44da-9c01-e5c00f1f7d77 · inbound

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding cites this paper.

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:25:00.242485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T02:26:44.624137Z digest=sha256:ac11090a9b2920faa1ecfd8f490d35411aa4caf98d8e5dcb22f38dec621b24c6

Observation 7df02c61-f8d2-48f2-9b73-3540c19dac8f · inbound

LaMDA: Language Models for Dialog Applications cites this paper.

LaMDA: Language Models for Dialog Applications Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:25:00.242485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T03:17:32.272353Z digest=sha256:3246dad831309e0c5d58d66818a9de520fe284c2b52bd4e46dbde042f4f13c73

Observation c569a808-39c0-4161-b83a-8a148736d3bc · inbound

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation cites this paper.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:25:00.242485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T04:49:30.873360Z digest=sha256:9a93153657bf943289d468f7a7c54482cc2cbc5bdb12698102df8539df89f86f

Observation 83261411-3ebd-456a-8fb9-9ce90551a6bb · inbound

SequenceLayers: Sequence Processing and Streaming Neural Networks Made Easy cites this paper.

SequenceLayers: Sequence Processing and Streaming Neural Networks Made Easy Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T10:58:03.780548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:58:03.780548Z digest=sha256:132e132d5b6ce29405bc669bd5da25819513f6d85382d232e1ca06a697f9d8cc