Paper Citation Record · LEDGER

Leveraging large language models for efficient representation learning for entity resolution

As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2411.10629.

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

pith.paper-citation-record.v1
2411.10629 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:35:04.795503Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

24 of 24 outbound references displayed

verified exact1
verified fuzzy9
unresolved12
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae5ea671-b8f5-4091-bd9d-230903e393c0 · outbound

This paper cites An Overview of End-to- End Entity Resolution for Big Data,.

Leveraging large language models for efficient representation learning for entity resolution An Overview of End-to- End Entity Resolution for Big Data,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.707514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a077300-1e41-465d-b732-e697e0e45140 · outbound

This paper cites Supervised Contrastive Learning for Product Matching,.

Leveraging large language models for efficient representation learning for entity resolution Supervised Contrastive Learning for Product Matching,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.711842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e187c9f-2ad1-498c-bce8-d50d4fde13b2 · outbound

This paper cites CorDEL: A Contrastive Deep Learning Approach for Entity Linkage.

Leveraging large language models for efficient representation learning for entity resolution CorDEL: A Contrastive Deep Learning Approach for Entity Linkage

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:35:05.215924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f48a1bc2-76bf-4a7d-ab04-f76e1e83ebc0 · outbound

This paper cites amazon-google dataset.

Leveraging large language models for efficient representation learning for entity resolution amazon-google dataset

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:05.383681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5a8f63f-383e-4856-a25a-0e019349b5bb · outbound

This paper cites Abt-Buy.

Leveraging large language models for efficient representation learning for entity resolution Abt-Buy

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:05.372960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cec6e60f-b31b-43e4-88b2-a516221253ec · outbound

This paper cites WDC LSPM Dataset.

Leveraging large language models for efficient representation learning for entity resolution WDC LSPM Dataset

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:05.362263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 771cc0e9-62d2-4e36-9829-3d2151eefd6f · outbound

This paper cites CrowdER: Crowdsourcing Entity Resolution.

Leveraging large language models for efficient representation learning for entity resolution CrowdER: Crowdsourcing Entity Resolution

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.732146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8eaa13c-c310-4acb-a8c9-694ee7a67cde · outbound

This paper cites Relation-aware Entity Matching Using Sentence-BERT,.

Leveraging large language models for efficient representation learning for entity resolution Relation-aware Entity Matching Using Sentence-BERT,

Reference 8

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T19:35:05.190019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e2cce12b-d4bd-43f3-984e-c72261da3bd0 · outbound

This paper cites Deep Learning for Entity Matching: A Design Space Exploration,.

Leveraging large language models for efficient representation learning for entity resolution Deep Learning for Entity Matching: A Design Space Exploration,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.739834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e95dba-bfb0-413d-90bb-f8009da7126f · outbound

This paper cites Dual-Objective Fine-tuning of BERT for Entity Matching,.

Leveraging large language models for efficient representation learning for entity resolution Dual-Objective Fine-tuning of BERT for Entity Matching,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.743711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05e335d-28c6-49ad-89c4-d2ed4044c94c · outbound

This paper cites KAER: A Knowledge Augmented Pre-trained Language Model for Entity Resolution,.

Leveraging large language models for efficient representation learning for entity resolution KAER: A Knowledge Augmented Pre-trained Language Model for Entity Resolution,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:05.350499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f58fe91d-ab77-4965-90ce-b6f2cb3b6f75 · outbound

This paper cites Intermediate Training of B ERT f or P roduct M atching,.

Leveraging large language models for efficient representation learning for entity resolution Intermediate Training of B ERT f or P roduct M atching,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:05.338944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation adb390be-f13a-47d9-8d52-f224d9d95142 · outbound

This paper cites Deep Entity Matching with Pre-trained Language Models,.

Leveraging large language models for efficient representation learning for entity resolution Deep Entity Matching with Pre-trained Language Models,

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-12T19:35:04.754411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd0c887e-be62-4e7f-8264-069451b30c26 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Leveraging large language models for efficient representation learning for entity resolution A Simple Framework for Contrastive Learning of Visual Representations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.758559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc9e0a81-bd9f-4d1d-9d46-cb7c9b6ce08d · outbound

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

Leveraging large language models for efficient representation learning for entity resolution SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.762656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119c4de4-7eb3-4d29-ba36-aa133f2cc0b1 · outbound

This paper cites Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination.

Leveraging large language models for efficient representation learning for entity resolution Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.766439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6edf7073-a315-4f69-b7b0-1fcfc7b10452 · outbound

This paper cites Data-Efficient Image Recognition with Contrastive Predictive Coding.

Leveraging large language models for efficient representation learning for entity resolution Data-Efficient Image Recognition with Contrastive Predictive Coding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.769997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87edcf8b-61ce-4df2-a43b-4772b347ac38 · outbound

This paper cites Contrastive Multiview Coding.

Leveraging large language models for efficient representation learning for entity resolution Contrastive Multiview Coding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.773602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e8aee85-f1c5-4464-b850-e1b4e9b1b1e0 · outbound

This paper cites Understanding Ranking Loss, Contrastive Loss, Margin Loss, Triplet Loss, Hinge Loss and all those Confusing Names,.

Leveraging large language models for efficient representation learning for entity resolution Understanding Ranking Loss, Contrastive Loss, Margin Loss, Triplet Loss, Hinge Loss and all those Confusing Names,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:05.328083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bdcda43e-0d3a-4bfe-b98d-78bda3ed16d4 · outbound

This paper cites FaceNet: A Unified Embedding for Face Recognition and Clustering,.

Leveraging large language models for efficient representation learning for entity resolution FaceNet: A Unified Embedding for Face Recognition and Clustering,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.780826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b380d94-dd34-4c45-b7b8-70591a999bb8 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Leveraging large language models for efficient representation learning for entity resolution Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:04.784524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f17fcace-81cc-4aad-bdee-41a618330c5c · outbound

This paper cites Cross-Encoders – Sentence-Transformers documentation,.

Leveraging large language models for efficient representation learning for entity resolution Cross-Encoders – Sentence-Transformers documentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:05.316650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4df56c0-2a0e-4610-a977-810387947193 · outbound

This paper cites Duplicate Detection, Record Linkage, and Identity Uncertainty: Datasets,.

Leveraging large language models for efficient representation learning for entity resolution Duplicate Detection, Record Linkage, and Identity Uncertainty: Datasets,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:05.304961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 751fa41e-a632-46d9-a510-a275760e8a10 · outbound

This paper cites Large Language Model-Based Representation Learning for Entity Resolution Using Contrastive Learning.

Leveraging large language models for efficient representation learning for entity resolution Large Language Model-Based Representation Learning for Entity Resolution Using Contrastive Learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:05.291219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.