Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:36:26.201075Z
Paper Citation Record · LEDGER
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp)
As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2412.17364.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
13 of 13 outbound references displayed
- verified exact0
- verified fuzzy3
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 34e3e5a5-9236-4c48-b3f1-4891c0108fd3 · outbound
This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.153990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e5d5b43-2279-43df-b68c-b042eceaa33a · outbound
This paper cites A Simple Framework for Contrastive Learning of Visual Representations.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) A Simple Framework for Contrastive Learning of Visual Representations
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.158242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39ecb2e9-45ea-4b7f-89b3-936a3a77189f · outbound
This paper cites Is this document relevant?.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Is this document relevant?
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:36:26.350545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9f467f37-dbf1-4feb-9357-45a4fd60101b · outbound
This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) SimCSE: Simple Contrastive Learning of Sentence Embeddings
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.165551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 503d0db4-a17b-4be0-9c8e-23bdb81a3caa · outbound
This paper cites Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.171217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c201f7bd-2819-4424-b864-78d966dd6195 · outbound
This paper cites Dimensionality reduction by learning an invariant mapping.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Dimensionality reduction by learning an invariant mapping
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:36:26.339057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6003968a-0a5f-4cea-acb0-da258d815009 · outbound
This paper cites Dense Passage Retrieval for Open-Domain Question Answering.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Dense Passage Retrieval for Open-Domain Question Answering
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.179330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27c3773c-4055-41a4-b252-616c81853f2a · outbound
This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.182999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cea9f495-6e20-408b-85e1-36e171d3cfe4 · outbound
This paper cites Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.186856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6062e6f2-c56a-4c08-b1c7-cd8930da5ed7 · outbound
This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.190178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fecca323-307a-44e0-94de-98693aab5529 · outbound
This paper cites Okapi at trec-3.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Okapi at trec-3
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:36:26.326925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7fe09b12-a750-4528-b43f-95859d747167 · outbound
This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.197215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation babd0701-cbec-4372-9bed-5a64fb20bd06 · outbound
This paper cites Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.201075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.