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Paper Citation Record · LEDGER

A critical analysis of self-supervision, or what we can learn from a single image

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1904.13132.

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

pith.paper-citation-record.v1
1904.13132 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:29:44.134345Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

65
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a523ad5d-6f02-422c-8bcb-60153432917a · inbound

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

A Simple Framework for Contrastive Learning of Visual Representations A critical analysis of self-supervision, or what we can learn from a single image

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:31:53.361286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-13T18:31:53.283456Z digest=sha256:dfe1b5c243d42aadbdc2abe475753e51d376bd6fc640244a3163a56565298719

Observation 99918e68-5d3d-4e2c-be3d-4ca61f3c3fcf · inbound

Clustering Properties of Self-Supervised Learning cites this paper.

Clustering Properties of Self-Supervised Learning A critical analysis of self-supervision, or what we can learn from a single image

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T23:29:44.134345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:29:44.134345Z digest=sha256:bf1f7ee8364be657dd73a93146e7840eb125f162433ff761b714a186f9df8dbc

Observation 583bd5f2-cfa5-4ebb-81ec-b5ab9cf29b82 · inbound

Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder cites this paper.

Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder A critical analysis of self-supervision, or what we can learn from a single image

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T18:56:45.253228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:56:45.253228Z digest=sha256:fdc834f450e0e608a863ef6037a9af7546281cb6ec89e95c7f5d166e4b267b0a

Observation 7d6ef19c-3408-41a9-ace7-4ae9fd4dd63a · inbound

Wildlife Target Re-Identification Using Self-supervised Learning in Non-Urban Settings cites this paper.

Wildlife Target Re-Identification Using Self-supervised Learning in Non-Urban Settings A critical analysis of self-supervision, or what we can learn from a single image

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T20:33:35.044991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:35.044991Z digest=sha256:5ee21199b7182ac6a54273fc2ebf890020637f4a506c89a1ba677e32d5e30fc1

Observation 428a6440-e563-4906-b31e-86509157fc84 · inbound

`Attention-Guided Cross-Temporal Clustering for Self-Supervised Video Object Segmentation cites this paper.

`Attention-Guided Cross-Temporal Clustering for Self-Supervised Video Object Segmentation A critical analysis of self-supervision, or what we can learn from a single image

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T16:56:21.608805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-09T16:55:56.118110Z digest=sha256:24b30464977d4ba8e543e663e59985b082050cb2212e38e1320cf1ae8def5537