Paper Citation Record · LEDGER

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2502.02048.

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

pith.paper-citation-record.v1
2502.02048 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:37:11.836257Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e84dd472-5370-41b7-a7d2-92a30593dcbf · outbound

This paper cites The Llama 3 Herd of Models.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.796388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5181e401-638b-4ff4-9346-5a7843946d08 · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.801828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f46d9fff-300a-4c40-8208-ad430b63b1f4 · outbound

This paper cites Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.808123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ed87535-471e-4eb1-ae30-144023422f61 · outbound

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

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.813814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ded7c2-2abf-49a8-b7e4-d5e24fb995af · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning MTEB: Massive Text Embedding Benchmark

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.819276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a5a280f-4712-4437-9571-f2f962b150bc · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning DINOv2: Learning Robust Visual Features without Supervision

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.824789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a4aa342-5d40-4739-87b6-ccc87a282dba · outbound

This paper cites Qwen2 Technical Report.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning Qwen2 Technical Report

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-09T13:37:11.836257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 243d8ff0-7f32-44eb-9ba3-62c5bf9ae972 · outbound

This paper cites Gated Multimodal Units for Information Fusion.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning Gated Multimodal Units for Information Fusion

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.760428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 367ee1f9-b42d-4194-aa37-357bcdd00447 · outbound

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

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.784401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 567946c2-f126-473a-bd1d-8517ef6bbc84 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.773214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53d7ec06-ed3d-4782-bad9-857cde9d8bd3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.790097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83c61542-0614-4403-ab34-e041bca2d063 · outbound

This paper cites an unresolved cited work.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:37:12.084783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 504eaec0-81d3-46e7-b498-2f6dd07df95b · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.767243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6550190-890b-42ad-8d96-f08182c9744d · outbound

This paper cites URL https: //doi.org/10.1038/s41746-022-00689-4.

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning URL https: //doi.org/10.1038/s41746-022-00689-4

Reference 6352

Resolution: unresolved; no resolver link, observed 2026-08-09T13:37:11.831145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.