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Paper Citation Record · LEDGER

TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2104.06979.

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

pith.paper-citation-record.v1
2104.06979 v3

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 2026-08-11T21:51:38.496200Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:07:24.287269Z

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 39ae30b2-02d1-4818-af18-1aa6bddb09df · inbound

Mind the Gap: Towards Generalizable Autonomous Penetration Testing via Domain Randomization and Meta-Reinforcement Learning cites this paper.

Mind the Gap: Towards Generalizable Autonomous Penetration Testing via Domain Randomization and Meta-Reinforcement Learning TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T21:51:38.496200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:51:38.496200Z digest=sha256:b7929abe86df3415cb9a6e0da9fc8c2fa0a5e5e07ac7c2d696a06c85a67becb9

Observation 09e7eb02-2a98-4b8a-aa7c-c5ea4443030d · inbound

Jasper and Stella: distillation of SOTA embedding models cites this paper.

Jasper and Stella: distillation of SOTA embedding models TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-11T01:03:28.907782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T01:03:28.907782Z digest=sha256:ecceba5ec78677caed06e5c92a7051490f112cbc924633d9fb2dea21194d8995

Observation f8779f05-9adf-4b23-a278-87ea05fd9fb0 · inbound

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information cites this paper.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T21:24:18.381342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:24:18.381342Z digest=sha256:ec7bb1b22b01f2667fe5a6292180a8a3d14d3c6cbec00f2d4cf19595553bb6b8

Observation ab892b75-7765-405b-8338-99137239e082 · inbound

Real-time News Story Identification cites this paper.

Real-time News Story Identification TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T11:19:01.760647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:19:01.760647Z digest=sha256:66e9f0943728b56a1ce9495615ec05eaeceeb6ab75a5055cb5b8e61bdaf046af

Observation c9019f52-78d5-4850-8908-6525e7bb11c4 · inbound

TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding cites this paper.

TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:07:24.288722Z

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=2026-06-27T19:54:39.953302Z digest=sha256:c82aa158f69596019b0d5bb401c41633fa83f560846a5d6fe3e73b85ef480d52