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Paper Citation Record · LEDGER

$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10150.

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

pith.paper-citation-record.v1
2402.10150 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:03:35.405111Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:36:18.941351Z

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 4302abf5-eeb4-4b38-946b-6b2e64b7c427 · inbound

Representation Learning via Non-Contrastive Mutual Information cites this paper.

Representation Learning via Non-Contrastive Mutual Information $f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T11:03:35.405111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:03:35.405111Z digest=sha256:da79fa03f0013acfd7d6dbb62fef02dab7c9db4f2c17e432d8d1b6d5ed37020b

Observation e0e87d0e-2e7f-4675-bd16-2b9661437c51 · inbound

Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems cites this paper.

Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems $f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:36:19.060279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:36:14.149987Z digest=sha256:96750685562fbc1a70af5e682812ec5a0a46158ed6e5655df7cbdc347b557cb4