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Paper Citation Record · LEDGER

Contrastive Learning with Hard Negative Samples

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 53 inbound Pith citation observations for arXiv:2010.04592.

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

pith.paper-citation-record.v1
2010.04592 v2

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measured 0 of 0 reference resolution

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measured 53 of 53 standing notices

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

measured 53 of 53 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:13.650945Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

37
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation be457e78-b581-46f3-a84a-0688e61ce576 · inbound

The Double-Ellipsoid Geometry of CLIP cites this paper.

The Double-Ellipsoid Geometry of CLIP Contrastive Learning with Hard Negative Samples

Reference 47

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Observation a8aaca57-ed3c-4f6e-858d-abeb877e65de · inbound

An Attention-based Framework for Fair Contrastive Learning cites this paper.

An Attention-based Framework for Fair Contrastive Learning Contrastive Learning with Hard Negative Samples

Reference 17

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Observation e1a148a0-4962-4665-83a6-281f95b07c41 · inbound

Fine-Grained Alignment in Vision-and-Language Navigation through Bayesian Optimization cites this paper.

Fine-Grained Alignment in Vision-and-Language Navigation through Bayesian Optimization Contrastive Learning with Hard Negative Samples

Reference 9

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Observation b79fbbbf-786b-47d6-97dc-97e5c7e81792 · inbound

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain cites this paper.

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain Contrastive Learning with Hard Negative Samples

Reference 50

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Observation adb6aadc-5738-466b-ba96-5789f7a076a8 · inbound

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps cites this paper.

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps Contrastive Learning with Hard Negative Samples

Reference 27

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arxiv_id, observed 2026-05-23T17:08:12.491246Z

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Observation 21414c1e-1314-4971-9b16-21d32d9e3637 · inbound

Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern Recognition cites this paper.

Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern Recognition Contrastive Learning with Hard Negative Samples

Reference 25

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Observation e12eae8e-b714-4664-bed6-8c3c5fd646ed · inbound

Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapy cites this paper.

Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapy Contrastive Learning with Hard Negative Samples

Reference 29

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Observation ae422e78-f502-4d82-b475-97358ab67c11 · inbound

Cluster Specific Representation Learning cites this paper.

Cluster Specific Representation Learning Contrastive Learning with Hard Negative Samples

Reference 38

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Observation 4edac648-d49a-4d45-aa59-4f142c82128f · inbound

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation cites this paper.

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation Contrastive Learning with Hard Negative Samples

Reference 18

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source=arxiv_source observed=2026-08-11T16:12:05.927085Z digest=sha256:6083cae07b8c7b437d85175e4ba25f972c5add4feca78d621e116ef13e5f360b

Observation d9ab54a4-9c5a-4aa8-b15b-2b8f7c1c4bdf · inbound

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval cites this paper.

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval Contrastive Learning with Hard Negative Samples

Reference 28

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source=arxiv_source observed=2026-08-11T05:44:00.102634Z digest=sha256:95d7f3537cd6c5d5b614312baeb05ed0110f0fddb3f5a80abcca96f8916be678

Observation a3a3e04d-15ba-490d-9a09-9e0cbe665b3b · inbound

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds cites this paper.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Contrastive Learning with Hard Negative Samples

Reference 45

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Observation 6bedb4a9-9893-4519-ad16-5a5f5bf00d63 · inbound

NExtLong: Toward Effective Long-Context Training without Long Documents cites this paper.

NExtLong: Toward Effective Long-Context Training without Long Documents Contrastive Learning with Hard Negative Samples

Reference 78

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Observation fd597211-9bcc-4369-b8cc-027f3ac68245 · inbound

Momentum Contrastive Learning with Enhanced Negative Sampling and Hard Negative Filtering cites this paper.

Momentum Contrastive Learning with Enhanced Negative Sampling and Hard Negative Filtering Contrastive Learning with Hard Negative Samples

Reference 8

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Observation d1dcab1d-9e49-4372-8f5a-585927279cc2 · inbound

A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters cites this paper.

A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters Contrastive Learning with Hard Negative Samples

Reference 41

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Observation 2eab5c51-5d0a-4970-8bd6-dd6f72802938 · inbound

Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings cites this paper.

Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings Contrastive Learning with Hard Negative Samples

Reference 10

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Observation 0f0a0235-4f52-44c9-ba88-cfe818a670c4 · inbound

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications cites this paper.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Contrastive Learning with Hard Negative Samples

Reference 16

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Observation 89858af6-af6b-4750-be96-209ab2b3420e · inbound

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining cites this paper.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Contrastive Learning with Hard Negative Samples

Reference 49

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Observation bf3cb374-5206-40ed-8c34-f26f4b3b4dee · inbound

Image Classification Using a Diffusion Model as a Pre-Training Model cites this paper.

Image Classification Using a Diffusion Model as a Pre-Training Model Contrastive Learning with Hard Negative Samples

Reference 29

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Observation b7e5273a-afbd-4361-b311-fd968ca59915 · inbound

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning cites this paper.

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning Contrastive Learning with Hard Negative Samples

Reference 38

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Observation 1e21a8d4-43a7-4293-8687-34c5098e4018 · inbound

LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval cites this paper.

LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval Contrastive Learning with Hard Negative Samples

Reference 25

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Observation e021a51d-e594-4c22-9eb9-a07b0d2b105e · inbound

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval cites this paper.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Contrastive Learning with Hard Negative Samples

Reference 71

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Observation 1f48987a-b6cf-4740-8b1a-bc95027adc3c · inbound

LPOI: Listwise Preference Optimization for Vision Language Models cites this paper.

LPOI: Listwise Preference Optimization for Vision Language Models Contrastive Learning with Hard Negative Samples

Reference 30

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source=arxiv_source observed=2026-08-07T13:45:56.463830Z digest=sha256:997b9bb47d5d3e6783eb282cd5a5d953f00bd6271c2e700586842a6f14229a49

Observation da2d04ae-b129-4b6f-ba47-1f8d44b74f94 · inbound

Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue cites this paper.

Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue Contrastive Learning with Hard Negative Samples

Reference 28

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source=pdf_text observed=2026-08-07T14:18:22.519310Z digest=sha256:276e9d6de82c4e6ad1604ea86e2716dc3fdfcab87c321bb2b650e345b7af7973

Observation be540f8a-ecce-48d8-ae47-9e34efbe8f9e · inbound

DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing cites this paper.

DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing Contrastive Learning with Hard Negative Samples

Reference 33

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Observation f2d760d0-46e0-42ce-b23d-25b7317abd57 · inbound

Subject Invariant Contrastive Learning for Human Activity Recognition cites this paper.

Subject Invariant Contrastive Learning for Human Activity Recognition Contrastive Learning with Hard Negative Samples

Reference 35

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Observation 9a055921-de7b-46f4-a4eb-5ae49ac90a3b · inbound

QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval cites this paper.

QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval Contrastive Learning with Hard Negative Samples

Reference 28

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Observation 7eb68dca-28c8-4049-94e7-727f043bbd45 · inbound

eMargin: Revisiting Contrastive Learning with Margin-Based Separation cites this paper.

eMargin: Revisiting Contrastive Learning with Margin-Based Separation Contrastive Learning with Hard Negative Samples

Reference 19

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Observation 36612a18-09b8-4e5a-a20a-e8082d988e25 · inbound

Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation cites this paper.

Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation Contrastive Learning with Hard Negative Samples

Reference 58

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Observation 2512a10e-4624-45aa-a13a-2017cc0bf3a1 · inbound

A Generalized Learning Framework for Self-Supervised Contrastive Learning cites this paper.

A Generalized Learning Framework for Self-Supervised Contrastive Learning Contrastive Learning with Hard Negative Samples

Reference 37

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Observation e912904c-1fe6-476f-8e46-f1d6a7725996 · inbound

Generalizable Object Re-Identification via Visual In-Context Prompting cites this paper.

Generalizable Object Re-Identification via Visual In-Context Prompting Contrastive Learning with Hard Negative Samples

Reference 56

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Observation 44b29588-2e84-462d-a2af-e4c11da22613 · inbound

The Impact of Semantic Pairs on Self-Supervised Representation Learning cites this paper.

The Impact of Semantic Pairs on Self-Supervised Representation Learning Contrastive Learning with Hard Negative Samples

Reference 26

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source=arxiv_source observed=2026-08-04T10:45:11.636417Z digest=sha256:aef282812a617c048c71978341d50ceebe959e58d4dac827bafd111444ff5375

Observation 7f734f3e-5aa8-4e3d-8161-73208533f567 · inbound

DiffusionPrint: Learning Generative Fingerprints for Diffusion-Based Inpainting Localization cites this paper.

DiffusionPrint: Learning Generative Fingerprints for Diffusion-Based Inpainting Localization Contrastive Learning with Hard Negative Samples

Reference 45

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arxiv_id, observed 2026-05-11T09:56:01.413743Z

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

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Observation 64a00b13-cdca-4b02-a193-f0058cad4ec8 · inbound

Concrete Jungle: Towards Concreteness Paved Contrastive Negative Mining for Compositional Understanding cites this paper.

Concrete Jungle: Towards Concreteness Paved Contrastive Negative Mining for Compositional Understanding Contrastive Learning with Hard Negative Samples

Reference 15

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arxiv_id, observed 2026-05-11T10:36:05.102588Z

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

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Observation bf06ffca-72c4-4815-b267-a2f2c53d9c89 · inbound

Combating Visual Neglect and Semantic Drift in Large Multimodal Models for Enhanced Cross-Modal Retrieval cites this paper.

Combating Visual Neglect and Semantic Drift in Large Multimodal Models for Enhanced Cross-Modal Retrieval Contrastive Learning with Hard Negative Samples

Reference 28

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arxiv_id, observed 2026-05-11T23:31:13.538715Z

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

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Observation 38aed087-1964-4684-a83c-9b430bd74989 · inbound

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection cites this paper.

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection Contrastive Learning with Hard Negative Samples

Reference 23

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arxiv_id, observed 2026-05-12T08:46:25.912500Z

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

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Observation 32f3ae15-790b-41b6-ba44-c504a6194f6e · inbound

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization cites this paper.

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization Contrastive Learning with Hard Negative Samples

Reference 52

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arxiv_id, observed 2026-05-12T06:31:24.684978Z

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

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Observation a1cb15ec-be79-4bfc-96d6-0e8bf66acf65 · inbound

Learning over Positive and Negative Edges with Contrastive Message Passing cites this paper.

Learning over Positive and Negative Edges with Contrastive Message Passing Contrastive Learning with Hard Negative Samples

Reference 21

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verified exact
arxiv_id, observed 2026-05-20T12:33:16.863438Z

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.

source=pdf_text observed=2026-05-20T12:31:19.969760Z digest=sha256:164990383fce7a7d89b1cef710d3e7896b9c04b61516199b4cd33b5cf42dfe4e

Observation 0658bf3b-c30c-43aa-855b-5a79d6f86584 · inbound

MSAlign: Aligning Molecule and Mass Spectra Foundation Models for Metabolite Identification cites this paper.

MSAlign: Aligning Molecule and Mass Spectra Foundation Models for Metabolite Identification Contrastive Learning with Hard Negative Samples

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:48:07.430121Z

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.

source=pdf_text observed=2026-05-20T07:47:34.045926Z digest=sha256:4909c2e1b44bd3938ec65e2eba7a87b3556a96c8593db93c00855a93ec25d532

Observation 00c780c4-3883-4b24-92a6-dac4cd2c0e4b · inbound

Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series cites this paper.

Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series Contrastive Learning with Hard Negative Samples

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:00:21.773907Z

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.

source=pdf_text observed=2026-05-25T04:59:08.338225Z digest=sha256:22bcf805eb6d77f9b8f5db2b0af906f325a6dad4983f5380242942d42d1c8da2

Observation 1bb197d4-a07d-41f3-ac04-13fa1adf80a6 · inbound

SurfSurg6D: Geometry Consistent Dense Correspondence for Textureless Surgical Instrument Pose Estimation cites this paper.

SurfSurg6D: Geometry Consistent Dense Correspondence for Textureless Surgical Instrument Pose Estimation Contrastive Learning with Hard Negative Samples

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:44:01.612568Z

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.

source=pdf_text observed=2026-06-29T22:37:24.758789Z digest=sha256:66421037fb02b9c8401d4042a072b9ff7ef7939d1bf12df50352230a6a8f30c6

Observation 23b0945f-8ea2-4d1b-8b43-2d213ba87e8a · inbound

Chameleon: Style-Content Disentangled Framework for Cross-Domain Object Compositing cites this paper.

Chameleon: Style-Content Disentangled Framework for Cross-Domain Object Compositing Contrastive Learning with Hard Negative Samples

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:02:27.387675Z

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.

source=pdf_text observed=2026-06-28T17:52:35.031504Z digest=sha256:1b31da82d2dd644cceefcc310b47199ffe237d6c0f3c2d63318bb7a4aa424cec

Observation 08e7b17f-1036-42b9-905a-7a7ede450e1b · inbound

HOLA: Holistic Multi-Modal Alignment for Open-Set 3D Recognition cites this paper.

HOLA: Holistic Multi-Modal Alignment for Open-Set 3D Recognition Contrastive Learning with Hard Negative Samples

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:16:13.512519Z

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.

source=pdf_text observed=2026-06-28T17:24:54.908187Z digest=sha256:68eabee24638bef9504282ab55cedece1b092a0f4cbf46d4d081d3b2133903bb

Observation fb9e4ec0-50a4-442f-8e73-c47386ded0df · inbound

Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG cites this paper.

Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG Contrastive Learning with Hard Negative Samples

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:02:23.587884Z

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.

source=arxiv_source observed=2026-06-28T16:56:19.670367Z digest=sha256:b6c551dad9c45b7f61d470eabcbf017601892aca22a7448e933b11e55a181c5a

Observation bc9af5d2-771e-41b5-9ff3-13de7e6bb4c4 · inbound

Doing well with less! On Sampling Techniques for Empirical Pairwise Loss Estimation/Minimization cites this paper.

Doing well with less! On Sampling Techniques for Empirical Pairwise Loss Estimation/Minimization Contrastive Learning with Hard Negative Samples

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.811897Z

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.

source=pdf_text observed=2026-06-28T12:34:42.905771Z digest=sha256:26e32ebfc393667c159f99f2c4ec83c4728a9f34a11fffc981d5da61980de25a

Observation f05843a4-65ea-4428-8027-8c358bb7b42f · inbound

Parameter-Efficient Adaptation of SAM 3 for Automated ITV Generation from 4DCT Images cites this paper.

Parameter-Efficient Adaptation of SAM 3 for Automated ITV Generation from 4DCT Images Contrastive Learning with Hard Negative Samples

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:08:43.576810Z

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.

source=pdf_text observed=2026-06-27T04:33:53.783148Z digest=sha256:6479bce0797b80dc2583bcf524cc891b478ca4cea39957292f7b8ea7c65c78d6

Observation 61867292-30a6-40c3-b50f-2444023f0723 · inbound

Reasoning Text-to-Video Retrieval for Operating Room Clips via Action-Driven Digital Twins cites this paper.

Reasoning Text-to-Video Retrieval for Operating Room Clips via Action-Driven Digital Twins Contrastive Learning with Hard Negative Samples

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:58:47.509418Z

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.

source=pdf_text observed=2026-06-27T03:26:49.843308Z digest=sha256:66755f1ce517f329b9cb81ed23d990697a4338ae3f7593bc99e2055e68f1cd8b

Observation bc844277-111f-4ca7-8e16-31ef8851138e · inbound

Aligning Implied Statements for Implicit Hate Speech Generalizability with Context-Bounded Semi-hard Negative Mining cites this paper.

Aligning Implied Statements for Implicit Hate Speech Generalizability with Context-Bounded Semi-hard Negative Mining Contrastive Learning with Hard Negative Samples

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:39:16.715065Z

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.

source=arxiv_source observed=2026-06-26T21:06:46.371057Z digest=sha256:b304d2e404c4279cb620db93eb5e8326303899f1022773c148a98a19701ce5d9

Observation 697ad7b8-646f-4ce4-94be-8ce6c9ac7036 · inbound

Lighting-Consistent Object Transfer Across Radiance Fields cites this paper.

Lighting-Consistent Object Transfer Across Radiance Fields Contrastive Learning with Hard Negative Samples

Reference 150

Resolution
verified exact
arxiv_id, observed 2026-06-26T09:49:17.817900Z

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.

source=arxiv_source observed=2026-06-26T09:46:46.216810Z digest=sha256:03229479277ec1fd161abcb94c272b774ef58dadc1fda3bbfe01f25abf89a5fc

Observation d2c192c7-cd57-477a-887e-122f39a588cc · inbound

Multimodal Semantic-Aware Contrastive Learning For False Negative Mitigation in 3D Medical Imaging cites this paper.

Multimodal Semantic-Aware Contrastive Learning For False Negative Mitigation in 3D Medical Imaging Contrastive Learning with Hard Negative Samples

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T00:32:46.879731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:32:46.879731Z digest=sha256:aa3445ded5d0f93a7bffa2dcea01d1aeb45a2ff6918e09e4ecca731ad2628404

Observation c21cdf96-475e-4b8e-99ad-456da980eb74 · inbound

Fusion Embedding: A Unified Embedding Space for Text, Image, Video, and Audio cites this paper.

Fusion Embedding: A Unified Embedding Space for Text, Image, Video, and Audio Contrastive Learning with Hard Negative Samples

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T14:46:36.787822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:46:36.787822Z digest=sha256:943cbf70f4676c14d82a05c7ecbc195f24c025423cb218dcfc9d8d5ed46d3ce2

Observation b83880a0-f5fe-4558-b0a9-e50d9f4fb031 · inbound

Discriminative Axis, Not Data Volume: What a Contrastive Corpus Teaches an Audio Embedding cites this paper.

Discriminative Axis, Not Data Volume: What a Contrastive Corpus Teaches an Audio Embedding Contrastive Learning with Hard Negative Samples

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:53.022159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:53.022159Z digest=sha256:2b37f227addce8dd0194977888d66feeb097d8b29744273e92dc801151c5dbd6

Observation 690ec42c-a066-4d93-b3e1-854f68b2d7f0 · inbound

Bayesian Data Reweighting Improves Multimodal Retrieval for Knowledge-Based Visual Question Answering cites this paper.

Bayesian Data Reweighting Improves Multimodal Retrieval for Knowledge-Based Visual Question Answering Contrastive Learning with Hard Negative Samples

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T15:01:51.676741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:01:51.676741Z digest=sha256:167a48c6758748b1b2c3843a2ff4f81aa52cee99151c85ce3fc489f1b0e1c12d

Observation 951c07ff-af1e-45dc-93b5-f7a765800d0b · inbound

Instruction Alignment for Binary Code Representation Learning cites this paper.

Instruction Alignment for Binary Code Representation Learning Contrastive Learning with Hard Negative Samples

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T00:34:48.426681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:34:48.426681Z digest=sha256:6918c2d6ba6b3a8f4ec4b9c80362ffaa09d64b8f68f47dc8b73c1f0e36e9cfca