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Paper Citation Record · LEDGER

A Simple and Effective Positional Encoding for Transformers

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2104.08698.

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

pith.paper-citation-record.v1
2104.08698 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 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:39.597261Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T16:40:27.401329Z

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 6e179ee2-a264-4085-b614-15cfdf6fbd39 · inbound

Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering cites this paper.

Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering A Simple and Effective Positional Encoding for Transformers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T14:25:02.656219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:25:02.656219Z digest=sha256:0fda964dade703e06be7a4283a4b005a4a7d39aa6eaf32b83a8d172fd47b21cd

Observation f844ec4a-2413-4aff-b8b1-5606877cd5ca · inbound

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends cites this paper.

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends A Simple and Effective Positional Encoding for Transformers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:27.479336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:17:27.479336Z digest=sha256:38a852a2ad9026ea436c32dba1c878a46ad575e492f10684f6dab5f29dcaa57b

Observation be8bbb73-ef7c-4be4-a67b-fca624137c7e · inbound

Self-Attention as a Parametric Endofunctor: A Categorical Framework for Transformer Architectures cites this paper.

Self-Attention as a Parametric Endofunctor: A Categorical Framework for Transformer Architectures A Simple and Effective Positional Encoding for Transformers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T22:06:47.004124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:06:47.004124Z digest=sha256:6e40ac6ab9e69a922775b6559232435b4966f2c75ac97621b57645ae3a74213a

Observation f2211517-e788-455f-803c-bb30cf499248 · inbound

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs cites this paper.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs A Simple and Effective Positional Encoding for Transformers

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-08T16:40:27.404736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.041717Z digest=sha256:bcc16d66dcd6819311f49303e7a5279032c0da10f3b1dbc5819973bcd4d75c5f

Observation b4682ac3-7ec0-4cd2-a921-b8d141129949 · inbound

EfficientLLM: Efficiency in Large Language Models cites this paper.

EfficientLLM: Efficiency in Large Language Models A Simple and Effective Positional Encoding for Transformers

Reference 292

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:39.597261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:13:39.597261Z digest=sha256:b56aa9edeea5307b860cfb2aecb5018608ee142cd6e2469a9fd3e8481743f5b5