Paper Citation Record · LEDGER

Neural Machine Translation with Byte-Level Subwords

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1909.03341.

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

pith.paper-citation-record.v1
1909.03341 v2

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:01:12.422294Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f2150d84-1ce6-4307-9ad2-ae70d62fcbfe · inbound

SnipGen: A Mining Repository Framework for Evaluating LLMs for Code cites this paper.

SnipGen: A Mining Repository Framework for Evaluating LLMs for Code Neural Machine Translation with Byte-Level Subwords

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T14:01:12.422294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59443cc1-b8b8-4b44-9ba0-7fcdf2bb5777 · inbound

Towards a Science of Causal Interpretability in Deep Learning for Software Engineering cites this paper.

Towards a Science of Causal Interpretability in Deep Learning for Software Engineering Neural Machine Translation with Byte-Level Subwords

Reference 293

Resolution: unresolved; no resolver link, observed 2026-08-07T15:30:09.176820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44417b48-4317-44c5-bdfd-8b771e69254b · inbound

Bit-level BPE: Below the byte boundary cites this paper.

Bit-level BPE: Below the byte boundary Neural Machine Translation with Byte-Level Subwords

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:47.814325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4341cc1e-cde5-4471-a04b-606ce150088b · inbound

Is There a Case for Conversation Optimized Tokenizers in Large Language Models? cites this paper.

Is There a Case for Conversation Optimized Tokenizers in Large Language Models? Neural Machine Translation with Byte-Level Subwords

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T23:19:15.667006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc39910d-1331-47b1-ab4b-53482a79e350 · inbound

CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models cites this paper.

CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models Neural Machine Translation with Byte-Level Subwords

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:50:14.713022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.