Paper Citation Record · LEDGER

Prototypical Contrastive Learning of Unsupervised Representations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2005.04966.

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

pith.paper-citation-record.v1
2005.04966 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:46.081622Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:49:57.661012Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c66f0605-94cc-4220-98d8-66456734a333 · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Prototypical Contrastive Learning of Unsupervised Representations

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:41:38.268990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59427fb1-cc98-4a1a-b525-5d490985e10b · inbound

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification cites this paper.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Prototypical Contrastive Learning of Unsupervised Representations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:46.081622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50dee47c-2ee0-46db-88b4-d562dadac984 · inbound

Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt cites this paper.

Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt Prototypical Contrastive Learning of Unsupervised Representations

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:29.190457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf57a09-95cb-46bb-8470-c6c5b14c79fa · inbound

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics cites this paper.

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics Prototypical Contrastive Learning of Unsupervised Representations

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:17:30.075307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8951a06-db76-4aad-84db-37759af8202f · inbound

Emerging Trends in Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation with Image-Level Supervision cites this paper.

Emerging Trends in Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation with Image-Level Supervision Prototypical Contrastive Learning of Unsupervised Representations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:21.388809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60e297f6-ab75-4ddb-9448-e099a113b4b7 · inbound

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

A Generalized Learning Framework for Self-Supervised Contrastive Learning Prototypical Contrastive Learning of Unsupervised Representations

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T19:03:17.870555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d93f24c-f414-4634-8489-4bcb798a9004 · inbound

Valid Property-Enhanced Contrastive Learning for Targeted Optimization & Resampling for Novel Drug Design cites this paper.

Valid Property-Enhanced Contrastive Learning for Targeted Optimization & Resampling for Novel Drug Design Prototypical Contrastive Learning of Unsupervised Representations

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T13:24:33.685345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e95769bd-d669-4076-a1b1-99a8799bfbcb · inbound

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval cites this paper.

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval Prototypical Contrastive Learning of Unsupervised Representations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T10:21:49.696159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a5be18c-7f23-4aa0-9fd5-0fcafae4f485 · inbound

CMCC-ReID: Cross-Modality Clothing-Change Person Re-Identification cites this paper.

CMCC-ReID: Cross-Modality Clothing-Change Person Re-Identification Prototypical Contrastive Learning of Unsupervised Representations

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:38:15.110582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4b7986f-2e7e-4b7e-91fc-aeeed4327751 · inbound

CMCC-ReID: Cross-Modality Clothing-Change Person Re-Identification cites this paper.

CMCC-ReID: Cross-Modality Clothing-Change Person Re-Identification Prototypical Contrastive Learning of Unsupervised Representations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T16:52:18.021447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9f18745-f2e6-458b-9c54-d29c2fa0cc8b · inbound

On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series cites this paper.

On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series Prototypical Contrastive Learning of Unsupervised Representations

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:01.027821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44b6f771-640f-4700-b296-61b7250e81e8 · inbound

SRENet: Spectral Re-Entry Network for Point Cloud Action Recognition cites this paper.

SRENet: Spectral Re-Entry Network for Point Cloud Action Recognition Prototypical Contrastive Learning of Unsupervised Representations

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:16:26.536099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f920a2e6-cce7-4874-8280-ea0839d5ae03 · inbound

Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent cites this paper.

Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent Prototypical Contrastive Learning of Unsupervised Representations

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:57.663247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dec27ff8-b402-4c51-b639-73e4fce2faae · inbound

Context Distribution Restoration for Social Surveys: A Recoverability-Adaptive Transport Framework cites this paper.

Context Distribution Restoration for Social Surveys: A Recoverability-Adaptive Transport Framework Prototypical Contrastive Learning of Unsupervised Representations

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-15T05:20:10.438937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.