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Paper Citation Record · LEDGER

Subword Sampling for Low Resource Word Alignment

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.11657.

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

pith.paper-citation-record.v1
2012.11657 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:05:53.601869Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T17:26:11.873923Z

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 cb899464-77df-4334-9c5b-64a8795b9793 · inbound

Fanar: An Arabic-Centric Multimodal Generative AI Platform cites this paper.

Fanar: An Arabic-Centric Multimodal Generative AI Platform Subword Sampling for Low Resource Word Alignment

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T19:05:53.601869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:05:53.601869Z digest=sha256:d4c8ca0835fb3b960807787f59492dd3d054a66b6b74d5b28cd701d1a5a07936

Observation 9420b06e-4b6d-4a6a-82fc-603e59ce9f0d · inbound

MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies cites this paper.

MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies Subword Sampling for Low Resource Word Alignment

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:26:11.880485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:26:11.152146Z digest=sha256:aaa46ca51fa87c97e1316e285438550f3a51e61dcc9f44a7fcb4e8baf8a3ce4a