Paper Citation Record · LEDGER

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives

As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2411.12156.

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

pith.paper-citation-record.v1
2411.12156 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:55:23.918455Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact2
verified fuzzy9
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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Outbound references

Observation 1dfc373c-250c-415e-ba88-a63941d9be60 · outbound

This paper cites Representation learning using multi-task deep neural networks for semantic classification and information retrieval.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Representation learning using multi-task deep neural networks for semantic classification and information retrieval

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:55:24.566647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f231fc2-8c11-4d06-93ea-7980a209cf6b · outbound

This paper cites Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:55:24.331956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ddf805a6-0513-4f70-bef7-ef2e842a4b38 · outbound

This paper cites Bootstrapped unsupervised sentence representation learning.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Bootstrapped unsupervised sentence representation learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:55:24.546533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0e7ef048-3d3d-4853-8a4f-eca3240eaff6 · outbound

This paper cites Forward models: Supervised learning with a distal teacher.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Forward models: Supervised learning with a distal teacher

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:55:24.524733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33f8a048-c807-49ce-93a5-6951f98dabaf · outbound

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

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.782404Z

Source-reported events for the cited work

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Observation c8b70193-a152-4aa1-852b-0f3f788b9815 · outbound

This paper cites DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.788653Z

Source-reported events for the cited work

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Observation 072ceeb7-87ec-4b05-9fa0-2c93596ca98a · outbound

This paper cites Vision-language pre-training with triple contrastive learning.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Vision-language pre-training with triple contrastive learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:55:24.498977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e3248fd1-ec62-4470-8ee1-387d7052c612 · outbound

This paper cites Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.799740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6f3b8d4-6d2b-4c3c-8859-8285bd552038 · outbound

This paper cites A simple but tough-to-beat baseline for sentence embeddings.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives A simple but tough-to-beat baseline for sentence embeddings

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:55:24.467080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 42302cea-5824-4fd4-a632-22e97fef62d2 · outbound

This paper cites How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.812517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f9eed3b-da50-4f08-92ec-ffe9c5c297fd · outbound

This paper cites Skip-thought vectors.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Skip-thought vectors

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:55:24.446883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 855ed875-37a6-4c54-a6e4-ab3275a4a96d · outbound

This paper cites Understanding the Behaviors of BERT in Ranking.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Understanding the Behaviors of BERT in Ranking

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.823856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37df58f7-ef86-4565-85c5-43acc5e5c646 · outbound

This paper cites On the Sentence Embeddings from Pre-trained Language Models.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives On the Sentence Embeddings from Pre-trained Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.829240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7017a3d8-8241-4a02-852c-0160feb702c3 · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives NICE: Non-linear Independent Components Estimation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.834454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb64bba3-9975-4ff8-9043-ce74449c26c7 · outbound

This paper cites Whitening Sentence Representations for Better Semantics and Faster Retrieval.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.840454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4a4ac1-e1a9-4ba5-b333-e31070308a19 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives A simple framework for contrastive learning of visual representations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.846070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ada33408-f1d6-4489-bfd5-3cde029d8f30 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Momentum contrast for unsupervised visual representation learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.851399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44c66480-c69c-4307-836a-bd439fef217c · outbound

This paper cites Hard negative mixing for contrastive learning.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Hard negative mixing for contrastive learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:55:24.401984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3dccd83d-bf3b-477e-866d-85ec76c716cc · outbound

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

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.861739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8634377-dd09-40bd-bd9b-0b6744745689 · outbound

This paper cites SICKNL: A Dataset for Dutch Natural Language Inference.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives SICKNL: A Dataset for Dutch Natural Language Inference

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:55:24.092214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b25a7762-3eb5-49b0-a3d2-46dd2530eaa3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.873444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b169805-2a4a-4f90-9bf9-3383997f65e5 · outbound

This paper cites Unsupervised sentence representation via contrastive learning with mixing negatives.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Unsupervised sentence representation via contrastive learning with mixing negatives

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:55:24.379021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 079cb222-0d18-4c85-ae0b-f97a28ed6220 · outbound

This paper cites Glove: Global vectors for word representation.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Glove: Global vectors for word representation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.885243Z

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Unavailable: canonical work link unavailable.

Observation b3b95302-fdba-48b0-8c98-1ba841d2d505 · outbound

This paper cites An Unsupervised Sentence Embedding Method by Mutual Information Maximization.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives An Unsupervised Sentence Embedding Method by Mutual Information Maximization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.890852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05fe7256-9a55-46a9-ab55-642613ffa089 · outbound

This paper cites DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.896159Z

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Observation 5e0bb40a-de0c-4ebe-849f-a87cb80e8266 · outbound

This paper cites Semantic re-tuning with contrastive tension.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Semantic re-tuning with contrastive tension

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:55:24.349394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7409f590-143f-48e5-822e-1f620485e041 · outbound

This paper cites AnglE-optimized Text Embeddings.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives AnglE-optimized Text Embeddings

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.907330Z

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Observation 0e4af01b-a811-4372-95d5-3d4d87bb800f · outbound

This paper cites Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.912827Z

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Unavailable: canonical work link unavailable.

Observation e7b0b77c-627e-4fd4-bb9a-e978f7d6733b · outbound

This paper cites SentEval: An Evaluation Toolkit for Universal Sentence Representations.

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T17:55:23.918455Z

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Pith citing papers

No inbound Pith citation observations are available.