Paper Citation Record · LEDGER

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.24581.

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

pith.paper-citation-record.v1
2505.24581 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:29.668279Z

measured 39 of 39 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:18:27.053502Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:18:38.588554Z

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy0
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b63ba18b-4f44-4871-aed8-7a3f72c52ce0 · outbound

This paper cites online" 'onlinestring :=.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:25.520888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dbe8c49-6771-48df-8d8f-041f49015874 · outbound

This paper cites write newline.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:25.623757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d386f626-d37c-45a1-b908-83f141b0ed3a · outbound

This paper cites ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:25.759074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45adb5d9-7dcd-4793-bab4-ff662cb10ae1 · outbound

This paper cites AraBERT: Transformer-based Model for Arabic Language Understanding.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training AraBERT: Transformer-based Model for Arabic Language Understanding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:25.879467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29f2276-18d2-4503-8405-f435c7837671 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:25.983764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d84f0ab6-2eaa-462e-8361-7a6c6732baae · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:32.567841Z

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 a2f9c59a-3418-4370-943e-d7247610f38a · outbound

This paper cites A large annotated corpus for learning natural language inference.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training A large annotated corpus for learning natural language inference

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.170504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbd9458d-3bc5-48bd-bb00-750de693d94d · outbound

This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.274555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9050cce2-9f16-4f08-b7bf-59826f498d1c · outbound

This paper cites Language-agnostic BERT Sentence Embedding.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Language-agnostic BERT Sentence Embedding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.380704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a44c536-7efa-4833-bcde-755a66688863 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.480075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b1d2c42-bb0b-4475-ba47-ab75f723d52f · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.555688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e0277d-8e59-4467-a662-626319991e2b · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.639613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9fa46bb-ce73-4277-8b45-cd201b05110d · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.775688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59831827-e4c3-4963-80fb-fac5d475dbdd · outbound

This paper cites Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.913944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b27d4f-421c-4e5d-a9f8-9122d80271f4 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 15

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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 8e254a33-d0a7-433f-844e-fc0344f710e3 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:32.200693Z

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 4b189ae3-3f53-4c22-8a50-4c5d7ba1210a · outbound

This paper cites OpenNMT: Open-Source Toolkit for Neural Machine Translation.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training OpenNMT: Open-Source Toolkit for Neural Machine Translation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.191811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11ec7105-350a-486c-81c8-edde8cb19f14 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 18

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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 953ef8af-0fc9-4aac-8d68-499229f60beb · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.402640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cec8c085-3b02-44dc-aa72-3acd42546df6 · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.507654Z

Source-reported events for the cited work

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Observation 82377bef-aa63-4978-8ee4-3ef9f4ac7e5c · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:31.714769Z

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 8451957f-ce65-443c-85c0-6fc53fc9880a · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.765317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c49024-0354-48d1-84b9-5cc3e64d7135 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:31.586109Z

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 2303df87-904d-4110-b6c9-d1cbe6a0c851 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:31.416949Z

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 8fd32607-c994-42e7-8f91-7181600f40ee · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training MTEB: Massive Text Embedding Benchmark

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:28.145836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06f065e8-4ffc-452e-8530-5d13f669928f · outbound

This paper cites Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:35:29.975498Z

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 969fcc42-03c9-413b-bc73-9aa1c34e8bd7 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:31.252865Z

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 41d352ec-14bd-4f65-ae00-0e30699c52c6 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:31.106034Z

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 dabe56c7-4b5d-4094-a1ff-1ae0e9937825 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:30.934204Z

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 13dcbc48-1fa3-47d3-bacf-bf1d492a08cc · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 30

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Source-reported events for the cited work

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Observation b5efa2d6-496f-47cf-ae7a-9e7e3fdb3cb2 · outbound

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GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:28.896982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 106f866e-05e1-4370-9e16-00e724a1f90e · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:28.984259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b16a745-153f-4fd5-8d85-1b8233d59019 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Improving Text Embeddings with Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:29.071102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4e925b-d9ac-46d8-baca-2c7025403f16 · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Multilingual E5 Text Embeddings: A Technical Report

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:29.182396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68865602-5e7a-47b8-9207-1a2e1e14c800 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:30.704768Z

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 9538047d-332b-4769-84e9-5afade6f70f8 · outbound

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

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training C-Pack: Packed Resources For General Chinese Embeddings

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:29.423388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0278ade8-7992-4456-aca6-2b4ac33e8f70 · outbound

This paper cites Language Models are Universal Embedders.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Language Models are Universal Embedders

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:29.530957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3475423-73dd-44b2-8c05-f247b6684927 · outbound

This paper cites an unresolved cited work.

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:30.521856Z

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.

Pith citing papers

Observation f18f8b50-dae1-41a5-90ae-e7ab7f4eaeb7 · inbound

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning cites this paper.

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:18:38.695960Z

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.