Paper Citation Record · LEDGER

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus

As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2604.18390.

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

pith.paper-citation-record.v1
2604.18390 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T05:05:37.126053Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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 exact3
verified fuzzy11
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81f34b36-5ac2-4a43-b255-02ea008431ee · outbound

This paper cites Representation learning: A review and new perspectives.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Representation learning: A review and new perspectives

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:10:48.715031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation db31cd31-2509-4303-b072-2b4fd089c624 · outbound

This paper cites Goodfellow, Y.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Goodfellow, Y

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:10:48.711920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e5ad4140-51ee-4455-90db-a202d843a817 · outbound

This paper cites Bootstrap your own latent - a new approach to self-supervised learning.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Bootstrap your own latent - a new approach to self-supervised learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:10:48.717357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a9792eb-d20a-4669-a06b-092501b20294 · outbound

This paper cites Emerging properties in self-supervised vision transform- ers.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Emerging properties in self-supervised vision transform- ers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:14:29.714781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f48f5e78-7ac4-4f86-bf40-c668821c3291 · outbound

This paper cites Towards Demystifying Representation Learning with Non-contrastive Self-supervision.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Towards Demystifying Representation Learning with Non-contrastive Self-supervision

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:09:08.439990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c09cc1c1-641e-4221-818f-ccd9c3084e64 · outbound

This paper cites Learning multiple layers of features from tiny images.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Learning multiple layers of features from tiny images

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:14:29.710473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 481c9041-3746-4752-9b41-76bfd6db5b3b · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus A simple framework for contrastive learning of visual representations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:14:29.706528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4bb9973f-9633-40c2-8859-bc1ffdedd59f · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Barlow twins: Self-supervised learning via redundancy reduction

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:14:29.718388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c28fe21-6033-49c8-bfb6-82ffdc3c0676 · outbound

This paper cites Exploring simple siamese representation learn- ing.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Exploring simple siamese representation learn- ing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:14:29.702710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed42b9b6-bcd3-4254-94d2-375d45bad332 · outbound

This paper cites Simplifying DINO via Coding Rate Regularization.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Simplifying DINO via Coding Rate Regularization

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:09:08.429481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7599a261-2b5c-4d90-832b-64485683d0ce · outbound

This paper cites Random Teachers are Good Teachers.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Random Teachers are Good Teachers

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:09:08.434630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 582ee91a-abad-4729-b5e3-6f5531a0c221 · outbound

This paper cites Deep residual learning for image recognition.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Deep residual learning for image recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:14:29.695296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ad735f0-7a3d-4f02-b4ad-18f39c2ccf04 · outbound

This paper cites Very deep convolutional neural network based image classification using small training sample size.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Very deep convolutional neural network based image classification using small training sample size

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:10:48.709474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 11f48261-2c8b-4e5d-9bce-833b48e932ae · outbound

This paper cites Densely connected convolutional networks.

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus Densely connected convolutional networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T00:14:29.699266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.