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Paper Citation Record · LEDGER

Unsupervised Sound Separation Using Mixture Invariant Training

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.12701.

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

pith.paper-citation-record.v1
2006.12701 v2

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 2026-08-12T21:44:06.858284Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:20:47.281590Z

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 599dbe93-b34b-4fbc-bbfe-54952f2b6288 · inbound

Developing an Effective Training Dataset to Enhance the Performance of AI-based Speaker Separation Systems cites this paper.

Developing an Effective Training Dataset to Enhance the Performance of AI-based Speaker Separation Systems Unsupervised Sound Separation Using Mixture Invariant Training

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T21:44:06.858284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:44:06.858284Z digest=sha256:2bd9065868b9186448f87ea911f1c547e954f3f6a7a93f7ad606c6783eeea839

Observation 6f0edab2-d0cc-4186-9d23-b62afa23dcae · inbound

Hear to See: Discerning Stateful Listening for Audio-Visual Instance Segmentation cites this paper.

Hear to See: Discerning Stateful Listening for Audio-Visual Instance Segmentation Unsupervised Sound Separation Using Mixture Invariant Training

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T22:20:47.285019Z

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=2026-08-05T22:20:47.069256Z digest=sha256:8c5dee01c1d5f59da8f6ee57e06d0241db1d58d24592714345653ab319192b3c