Paper Citation Record · LEDGER

SentEval: An Evaluation Toolkit for Universal Sentence Representations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1803.05449.

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

pith.paper-citation-record.v1
1803.05449 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:22:21.190851Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T14:28:31.470970Z

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 589237da-9a44-4385-bcdc-c68b3b28b5ba · inbound

Learning Compressed Sentence Representations for On-Device Text Processing cites this paper.

Learning Compressed Sentence Representations for On-Device Text Processing SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-25T20:11:11.395682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1010362d-646a-48c0-a5b0-a158515a61bf · inbound

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments cites this paper.

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-25T14:35:57.362443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7ead739-22e3-472a-b83c-129061d9e640 · inbound

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks cites this paper.

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:54:08.910127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae8d34f4-31cc-44e7-a511-fab11e01289e · 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 SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:37:55.523212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a210d75e-11c5-4463-8042-f5158aa1e5a3 · inbound

Text and Code Embeddings by Contrastive Pre-Training cites this paper.

Text and Code Embeddings by Contrastive Pre-Training SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:11.946926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c23f3c76-e161-4a14-af3e-5e343216879d · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-13T13:24:32.196060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 235bff95-38cb-42ec-9715-b51a10887eea · inbound

Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform cites this paper.

Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:21.190851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6176051-dd1f-4bf2-82a4-162173434d98 · inbound

Combining Discrete Wavelet and Cosine Transforms for Efficient Sentence Embedding cites this paper.

Combining Discrete Wavelet and Cosine Transforms for Efficient Sentence Embedding SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T10:13:18.644367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f07bdfba-4a54-4072-953a-43745c2b9ca5 · inbound

Computational Lesions in Multilingual Language Models Separate Shared and Language-specific Brain Alignment cites this paper.

Computational Lesions in Multilingual Language Models Separate Shared and Language-specific Brain Alignment SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:05:59.058283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4be4923d-961b-4e62-9ab4-a7928de3ea4e · inbound

MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining cites this paper.

MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:01:12.536280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66af093b-9066-4abc-98ce-b1f810c6e5d7 · inbound

Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality cites this paper.

Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T14:28:31.472124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.