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Paper Citation Record · LEDGER

Masked Event Modeling: Self-Supervised Pretraining for Event Cameras

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.10368.

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

pith.paper-citation-record.v1
2212.10368 v3

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:28:31.639057Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:43:04.607973Z

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 6e47ce5a-d7d2-4b7c-9633-515c73cb8dbf · inbound

Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling cites this paper.

Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling Masked Event Modeling: Self-Supervised Pretraining for Event Cameras

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:43:04.673763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:43:00.674427Z digest=sha256:bc7861a8fa39fee5d36b277eacd7255ccd533b5f2af2ea6e7d6bf86539aa0f45

Observation 16e2c496-bbbe-42d8-a718-ef4433eb60d1 · inbound

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models cites this paper.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models Masked Event Modeling: Self-Supervised Pretraining for Event Cameras

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:31.639057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.639057Z digest=sha256:aed4c90da5bea41f24e36e17867e5ff588d0848482dff98301fff01815227b5b