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Paper Citation Record · LEDGER

Neural Machine Translation in Linear Time

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1610.10099.

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

pith.paper-citation-record.v1
1610.10099 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:56:33.084928Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T02:36:27.049458Z

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 75fca775-94f6-4216-ad56-6d7046b66d8a · inbound

Attention Is All You Need cites this paper.

Attention Is All You Need Neural Machine Translation in Linear Time

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-09T03:35:57.937220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-09T03:35:55.867645Z digest=sha256:ab07053ef7e37d5be92b96ef7ab16a19e40f36f7d61b70674d26b77be5608323

Observation f73a2379-8d55-4bea-b90e-32a448f66a6f · inbound

Improving Zero-shot Translation with Language-Independent Constraints cites this paper.

Improving Zero-shot Translation with Language-Independent Constraints Neural Machine Translation in Linear Time

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-25T19:47:07.822721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-25T19:46:10.947196Z digest=sha256:60d3489600f5c7cc8856365040e0f713d4fb06a1455b47f61035cff056c5d023

Observation daf569e7-f19e-4752-917e-47b8cbc7329a · inbound

Learning to Reformulate the Queries on the WEB cites this paper.

Learning to Reformulate the Queries on the WEB Neural Machine Translation in Linear Time

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-25T11:06:57.253378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-25T11:05:39.361571Z digest=sha256:df50ef2de2c16c5ae4727078709516a20daf40ae075e0bcf6f850838ac0526be

Observation 43a87fe4-4c9d-47a6-9387-c80c7fd5c756 · inbound

Hierarchical Sequence to Sequence Voice Conversion with Limited Data cites this paper.

Hierarchical Sequence to Sequence Voice Conversion with Limited Data Neural Machine Translation in Linear Time

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-24T21:34:58.846631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T21:30:16.923017Z digest=sha256:8582934b7765268cc4eebb6f6d2efe382f7430f00237e6f403d8219f4be5406a

Observation e6374931-4216-4b32-a97c-e6e38396bd45 · inbound

Compressive Transformers for Long-Range Sequence Modelling cites this paper.

Compressive Transformers for Long-Range Sequence Modelling Neural Machine Translation in Linear Time

Reference 118

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T10:46:16.543617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-18T10:46:16.373197Z digest=sha256:c42aab226abfdfbf9aa6d7adf0862245990e6881d7871c86c003c95b8f639ac8

Observation 391dc76c-c6e4-4340-a1cb-1e16f1583c2d · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Neural Machine Translation in Linear Time

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:39:29.697503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T02:39:29.411021Z digest=sha256:70ff2f4a5ad56a9010a0f751d664c0fcf9b90d42795a1230e89a338764aed33e

Observation 1078581d-6a1f-4fca-a502-338a05d026eb · inbound

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks cites this paper.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Neural Machine Translation in Linear Time

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T10:56:33.084928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:56:33.084928Z digest=sha256:6b415252831ea43bae8231c63eec55ea83b0102717371c5d3c73e0cef258c97c

Observation 20865335-87c3-4bfa-97fa-6c0e5b1f34a3 · inbound

Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions cites this paper.

Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions Neural Machine Translation in Linear Time

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:36.674247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:37:36.674247Z digest=sha256:64f1f4831fc98c1208d59a75bbdcd8a3c1b0185fc2896d085577b257307efc8a

Observation d6e407be-cdad-4e34-b0d1-af5df1e9eead · inbound

Scalable Memristive-Friendly Reservoir Computing for Time Series Classification cites this paper.

Scalable Memristive-Friendly Reservoir Computing for Time Series Classification Neural Machine Translation in Linear Time

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:41:10.517943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T01:10:45.859345Z digest=sha256:de32bb3d73e24a8f39f945a09e05c4cfa59d93da6d83479a5a276b4813e5c931

Observation 7bc723b1-71ae-49ac-b114-43c2d3cca51b · inbound

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization cites this paper.

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization Neural Machine Translation in Linear Time

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:45:59.100958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T02:17:32.226166Z digest=sha256:0bce983973d0c609cbb670cae94669596dcb2c844200413ac6bba8157fa76f76

Observation 7afb732e-79f8-4d65-857c-25f0ff612ed5 · inbound

A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models cites this paper.

A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models Neural Machine Translation in Linear Time

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-19T20:27:53.665509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T20:26:59.049472Z digest=sha256:b6316cc35720cbeb64742728cdf7d901e825646371edf1cf5fdc9ed6cf010efc

Observation 4f2e9a77-5378-4f13-9cce-b91e80499983 · inbound

Dynamic Short Convolutions Improve Transformers cites this paper.

Dynamic Short Convolutions Improve Transformers Neural Machine Translation in Linear Time

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T02:36:27.051130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-28T10:48:50.103004Z digest=sha256:65bfdfeb935fa49303a39ecf6f58cd13a0b32c59b43b569488acd9ca368526cd