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Paper Citation Record · LEDGER

M&M Mix: A Multimodal Multiview Transformer Ensemble

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.09852.

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

pith.paper-citation-record.v1
2206.09852 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:59:06.205021Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T22:05:06.148661Z

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 adfd9535-5c8b-4070-a0fc-537de4b1c8a5 · inbound

Improving Keystep Recognition in Ego-Video via Dexterous Focus cites this paper.

Improving Keystep Recognition in Ego-Video via Dexterous Focus M&M Mix: A Multimodal Multiview Transformer Ensemble

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T11:59:06.205021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:59:06.205021Z digest=sha256:a73c1289653c87b950850e40c06abc05e42a42db642403bdd581e20e0c9402e0

Observation 5fb200b2-fd31-45c6-941c-a00b94891884 · inbound

SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning cites this paper.

SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning M&M Mix: A Multimodal Multiview Transformer Ensemble

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:05:06.150242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T21:55:53.630732Z digest=sha256:d639a9738062c7f8fb198a88ccf0f7e93d1948cf8a1045e0e5cba2247e100b2d