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Paper Citation Record · LEDGER

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2106.12672.

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

pith.paper-citation-record.v1
2106.12672 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:11.686064Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:39:34.619487Z

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 1a14cec9-ad79-46ab-b6a7-d433bb1712a4 · inbound

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation cites this paper.

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T18:00:05.429693Z

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=2026-05-12T18:00:05.294144Z digest=sha256:1f24486a9d667df686148e0ce584e664f8e6135862decfa862770b59a6055aa2

Observation 024f38a0-0407-49bc-b3f2-1fd0c0ca634e · inbound

Digital Guardians: Can GPT-4, Perspective API, and Moderation API reliably detect hate speech in reader comments of German online newspapers? cites this paper.

Digital Guardians: Can GPT-4, Perspective API, and Moderation API reliably detect hate speech in reader comments of German online newspapers? Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:38:11.686064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:11.686064Z digest=sha256:d8ce5ca6344f224751736c3f3ec3439956b7f147710b82e61a6874fcddd8e8e9

Observation 9b132740-e8ad-4d13-8ac0-72b6c1cf485c · inbound

Return of the Encoder: Maximizing Parameter Efficiency for SLMs cites this paper.

Return of the Encoder: Maximizing Parameter Efficiency for SLMs Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T13:38:28.002150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:38:28.002150Z digest=sha256:94f88f023437445206e66698cb247d505b8513f8da47ee14e2b6a6491b153fa5

Observation 87a89f24-7de9-4067-8470-1f4da4f6750d · inbound

Dynamic Chunking for End-to-End Hierarchical Sequence Modeling cites this paper.

Dynamic Chunking for End-to-End Hierarchical Sequence Modeling Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T18:34:03.418750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:34:03.418750Z digest=sha256:afd0349544c3bf19e709d8378741d9186073dc99ef05ebeb72efe36be9e90fd5

Observation 2df52c7c-3ad3-43fa-b670-fc0ffa5d7d18 · inbound

FLEXITOKENS: Flexible Tokenization for Evolving Language Models cites this paper.

FLEXITOKENS: Flexible Tokenization for Evolving Language Models Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:12:05.203132Z

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=2026-05-19T05:10:19.093601Z digest=sha256:6b763fb54b9fbd27c3e2b3d4246831c12f2b75ae983276e6b5730c15f749d36a

Observation f025dd41-3c66-449d-8c40-bfe7e90d5023 · inbound

chDzDT: Word-level morphology-aware language model for Algerian social media text cites this paper.

chDzDT: Word-level morphology-aware language model for Algerian social media text Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T12:17:29.906522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:17:29.906522Z digest=sha256:f5ed2253ff5c933bb5cf738ecaa1f3cde835b2c2a031cba90455a7679328f014

Observation edef6dbe-8d1a-47ce-845e-78284ab7ebe6 · inbound

Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving cites this paper.

Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T11:30:39.824737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:30:39.824737Z digest=sha256:7f8b416eaa73a0f7c1d0e962cdf95d6dcb6b757772e18743546e235450b399bb

Observation c9482099-c4b7-4790-a670-2ca62902f658 · inbound

ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models cites this paper.

ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:56:32.514352Z

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=2026-05-08T03:42:38.627716Z digest=sha256:5fa50da7c7cf154463e94f231b14fc7d7d05ed4ee68ed9f870a104144676185f

Observation 17c38915-d128-4756-b04a-d1ff68cb83e4 · inbound

Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models cites this paper.

Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:53:13.417929Z

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=2026-06-29T07:50:25.019889Z digest=sha256:47cbed1bfd1774386d3b3df9ed994a7e16a15ec477bfd575bb1049a27eff361b

Observation b3ae43b3-6dc9-4d88-83a6-1643621ef9a8 · inbound

Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet cites this paper.

Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:39:34.621108Z

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=2026-06-26T16:53:25.556222Z digest=sha256:5ab8e6254a66f8fc70b512c6ba0cc03cb2cb033b3a2234b0e41851b90d989f19