Pith. sign in

Paper Citation Record · LEDGER

BPE-Dropout: Simple and Effective Subword Regularization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1910.13267.

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

pith.paper-citation-record.v1
1910.13267 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:44.126108Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:40:41.936351Z

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 d4d7d9c3-971b-4d5e-92f8-794dab6de370 · inbound

Efficient Training of Language Models to Fill in the Middle cites this paper.

Efficient Training of Language Models to Fill in the Middle BPE-Dropout: Simple and Effective Subword Regularization

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:40:41.939411Z

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=2026-05-18T00:40:41.647820Z digest=sha256:e81937507133454f4077dea213ca7f3a3b6d1174925252876ad0b8a026ff06d8

Observation 1e374f27-6f5e-45a1-ae4c-f5bca10a0655 · inbound

Baseline Defenses for Adversarial Attacks Against Aligned Language Models cites this paper.

Baseline Defenses for Adversarial Attacks Against Aligned Language Models BPE-Dropout: Simple and Effective Subword Regularization

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:24:40.196373Z

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=2026-05-13T23:24:39.835347Z digest=sha256:723aa6d5f812bd23bd3154f0723a06c8ec3d50877558d2c97af7194fa93c72f2

Observation a8fbb28a-5428-4efc-ab0f-94a88d4afe98 · inbound

Lessons from the Trenches on Reproducible Evaluation of Language Models cites this paper.

Lessons from the Trenches on Reproducible Evaluation of Language Models BPE-Dropout: Simple and Effective Subword Regularization

Reference 119

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T18:44:49.767890Z

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=2026-05-16T18:44:49.519995Z digest=sha256:ac35b2bd0ddd81c558e79afedfb48be649287d83e01fd543658952818cba1d9b

Observation 299d4fb3-4312-4b58-bcb0-72b75f872f79 · inbound

Comparative analysis of subword tokenization approaches for Indian languages cites this paper.

Comparative analysis of subword tokenization approaches for Indian languages BPE-Dropout: Simple and Effective Subword Regularization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:44.126108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:44.126108Z digest=sha256:a46c4137a2321242c9711dfb973d8e0430e40d993a325bf47a3053174aa1e378

Observation fa953bed-d75a-4e92-853f-4ee8ecee246c · inbound

Which Pieces Does Unigram Tokenization Really Need? cites this paper.

Which Pieces Does Unigram Tokenization Really Need? BPE-Dropout: Simple and Effective Subword Regularization

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T22:53:38.468549Z

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=pdf_text observed=2026-05-16T22:51:33.958118Z digest=sha256:dce521bea198ef1b747af8b5a30c327101a4664070498e18415dd768b2919fc0

Observation 98932379-61e0-4ea3-b9f0-2d4c78725405 · inbound

Re-Triggering Safeguards within LLMs for Jailbreak Detection cites this paper.

Re-Triggering Safeguards within LLMs for Jailbreak Detection BPE-Dropout: Simple and Effective Subword Regularization

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:06:24.999070Z

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=pdf_text observed=2026-05-12T04:37:29.075413Z digest=sha256:021dea62e9631a4995f9d62c5a84e00ea609994a76529ee5f7cc963cb1efdbe3