Paper Citation Record · LEDGER

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1705.02364.

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

pith.paper-citation-record.v1
1705.02364 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:22:44.885159Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T00:35:55.799169Z

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 14afd949-0e83-4572-9d58-422cf7a723b3 · inbound

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:37:55.530829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e3492dce-d7f6-469a-9622-f9ef2a37caec · inbound

A Novel Method for News Article Event-Based Embedding cites this paper.

A Novel Method for News Article Event-Based Embedding Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-24T00:35:55.802032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1c5dc6af-7c1b-4fca-a203-0fb4904c71f2 · inbound

An Enhanced Model-based Approach for Short Text Clustering cites this paper.

An Enhanced Model-based Approach for Short Text Clustering Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T16:22:44.885159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86cb65ec-21b8-4676-90a7-26255b5f2ad2 · inbound

Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization cites this paper.

Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T07:34:21.876271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f92703ed-4cea-46ed-a4c5-3e691aa185ac · inbound

Linguistics and Human Brain: A Perspective of Computational Neuroscience cites this paper.

Linguistics and Human Brain: A Perspective of Computational Neuroscience Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-03T03:22:46.022424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01086759-f088-4d41-b902-77064c3b33e8 · inbound

Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings cites this paper.

Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:20:22.615123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 011c6d65-b3fd-4ed6-8369-13f5a09944d0 · inbound

Multi-Granularity Reasoning for Natural Language Inference cites this paper.

Multi-Granularity Reasoning for Natural Language Inference Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T19:07:54.710156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.