Paper Citation Record · LEDGER

Self-Supervised Learning at the Edge: The Cost of Labeling

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2507.07033.

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

pith.paper-citation-record.v1
2507.07033 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:53:10.326657Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:53:07.890722Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:53:10.546526Z

Reference resolution

22 of 22 outbound references displayed

verified exact1
verified fuzzy16
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc0f62b0-11a1-4812-a91a-954191dacb44 · outbound

This paper cites Self-Supervised Learning at the Edge: The Cost of Labeling.

Self-Supervised Learning at the Edge: The Cost of Labeling Self-Supervised Learning at the Edge: The Cost of Labeling

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:53:10.636745Z

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 c9496e25-5bb7-4914-b63e-882289b207f9 · outbound

This paper cites an unresolved cited work.

Self-Supervised Learning at the Edge: The Cost of Labeling Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:53:14.135319Z

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 ec4ef575-bd7a-45d4-a891-47857e9abcf5 · outbound

This paper cites an unresolved cited work.

Self-Supervised Learning at the Edge: The Cost of Labeling Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:53:13.998759Z

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 cddc1016-5f77-4666-a7fe-95833cbcfe1a · outbound

This paper cites an unresolved cited work.

Self-Supervised Learning at the Edge: The Cost of Labeling Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:53:13.819015Z

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 6e1950e2-25eb-4aed-bbaf-2193acd8e320 · outbound

This paper cites By measuring both training energy and the often-overlooked cost of labeling, we uncover critical trade-offs between performance and resource consumption.

Self-Supervised Learning at the Edge: The Cost of Labeling By measuring both training energy and the often-overlooked cost of labeling, we uncover critical trade-offs between performance and resource consumption

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:13.649424Z

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 a87ac483-ce6f-4abb-b97a-9e8959032a00 · outbound

This paper cites Convergence of edge computing and deep learning: A comprehensive survey,.

Self-Supervised Learning at the Edge: The Cost of Labeling Convergence of edge computing and deep learning: A comprehensive survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:13.508386Z

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 3ecdf0a7-de6d-4197-a699-a33dec74b978 · outbound

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

Self-Supervised Learning at the Edge: The Cost of Labeling A simple framework for contrastive learning of visual representations,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:13.387348Z

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 c616838d-1309-437c-b274-bcac1ec840fb · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Self-Supervised Learning at the Edge: The Cost of Labeling Momentum contrast for unsupervised visual representation learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:13.203457Z

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 c0580e03-e572-412e-b68a-e09e8e6a7176 · outbound

This paper cites Exploring simple siamese representation learning,.

Self-Supervised Learning at the Edge: The Cost of Labeling Exploring simple siamese representation learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:13.035269Z

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 f6687d6d-5212-4dc1-8e3d-139b44f21035 · outbound

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

Self-Supervised Learning at the Edge: The Cost of Labeling Bootstrap your own latent-a new approach to self-supervised learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:12.861268Z

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 cdfde8f2-689d-4c50-a661-62c6385150f9 · outbound

This paper cites Class-aware contrastive semi-supervised learn- ing,.

Self-Supervised Learning at the Edge: The Cost of Labeling Class-aware contrastive semi-supervised learn- ing,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:12.728210Z

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 a924b0e2-5487-4f20-a271-6b48376b143f · outbound

This paper cites Tinyml meets IoT: A comprehensive survey,.

Self-Supervised Learning at the Edge: The Cost of Labeling Tinyml meets IoT: A comprehensive survey,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:12.562492Z

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 ac85fd51-dad1-4285-b161-28c77695c1ce · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Self-Supervised Learning at the Edge: The Cost of Labeling Representation Learning with Contrastive Predictive Coding

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57a2805a-598c-411b-92bd-43e81f2ae87f · outbound

This paper cites Supervised Contrastive Learn- ing,.

Self-Supervised Learning at the Edge: The Cost of Labeling Supervised Contrastive Learn- ing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:12.360306Z

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 f11c6d30-c434-4574-8b5d-9883c5140b3c · outbound

This paper cites Weakly supervised contrastive learning,.

Self-Supervised Learning at the Edge: The Cost of Labeling Weakly supervised contrastive learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:12.229375Z

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 b5f05acc-8697-4a3f-a051-9bd4f1deb9ef · outbound

This paper cites Dissecting supervised contrastive learn- ing,.

Self-Supervised Learning at the Edge: The Cost of Labeling Dissecting supervised contrastive learn- ing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:12.036338Z

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 66aeee85-e58f-4572-9606-eb5f6f24daed · outbound

This paper cites Unbiased Supervised Contrastive Learning.

Self-Supervised Learning at the Edge: The Cost of Labeling Unbiased Supervised Contrastive Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:09.759586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dda19e0c-2ae6-4f7d-92c8-26ee6b15d17a · outbound

This paper cites DualLabel: secondary labels for chal- lenging image annotation,.

Self-Supervised Learning at the Edge: The Cost of Labeling DualLabel: secondary labels for chal- lenging image annotation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:11.825345Z

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 dc1bfc51-fd0b-4310-8d73-feb10522f199 · outbound

This paper cites mlco2/codecarbon: v2.4.1,.

Self-Supervised Learning at the Edge: The Cost of Labeling mlco2/codecarbon: v2.4.1,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:11.567564Z

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 0d310288-5f85-4e8a-bbf4-0f06b547d0a1 · outbound

This paper cites How to estimate carbon footprint when training deep learning models? A guide and review,.

Self-Supervised Learning at the Edge: The Cost of Labeling How to estimate carbon footprint when training deep learning models? A guide and review,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:11.327266Z

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 25d3a338-d44d-412e-bfd6-30bcee8c25d3 · outbound

This paper cites Evalu- ating the RAM energy consumption at the stage of soft- ware development,.

Self-Supervised Learning at the Edge: The Cost of Labeling Evalu- ating the RAM energy consumption at the stage of soft- ware development,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:11.123977Z

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 024c0301-8c23-4b4e-bac0-9f685f798add · outbound

This paper cites Unsupervised feature learning via non-parametric instance discrimination,.

Self-Supervised Learning at the Edge: The Cost of Labeling Unsupervised feature learning via non-parametric instance discrimination,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:10.887232Z

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.

Pith citing papers

Observation dc0f62b0-11a1-4812-a91a-954191dacb44 · inbound