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Paper Citation Record · LEDGER

Self-Supervised Features Improve Open-World Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.07848.

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

pith.paper-citation-record.v1
2102.07848 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:46:17.601016Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:48.768949Z

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 efbc1feb-d4b8-474f-ad30-a67c0c1e6cfb · inbound

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models cites this paper.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Self-Supervised Features Improve Open-World Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:17.601016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:46:17.601016Z digest=sha256:893cc15ec93534da219405beb9416203f1ce202e8345a73cc76ec7a2a35b2104

Observation 541a0a24-b00a-46bc-b083-2b041b2fa2cd · 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 Self-Supervised Features Improve Open-World Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T20:33:36.253076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:36.253076Z digest=sha256:1de80ed5fca94f80536a2ef753ff4c584c152087a2cad315684f22b0480109f1

Observation 964ef5fc-ca8f-4e09-ba05-6d5ca9d7fa41 · inbound

Complexity of Linear Regions in Self-supervised Deep ReLU Networks cites this paper.

Complexity of Linear Regions in Self-supervised Deep ReLU Networks Self-Supervised Features Improve Open-World Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:48.773788Z

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.

source=pdf_text observed=2026-05-08T04:18:11.839205Z digest=sha256:3744b938c67713a546087cb3319548e605a15e51a36e3400938f26c868c080f2