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Paper Citation Record · LEDGER

A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1607.06317.

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

pith.paper-citation-record.v1
1607.06317 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:16:52.757670Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-14T20:42:57.938820Z

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 0e20d4cc-bf7e-4f02-b467-6ed426898387 · inbound

Learning segmentation from point trajectories cites this paper.

Learning segmentation from point trajectories A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T17:16:52.757670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:16:52.757670Z digest=sha256:927d3037dc42cec2728d2f98281ad0fc90ef25abc487db9bd0088394db4e72bc

Observation c2ec3ee7-00bf-46b2-a7dd-1a2836be5c68 · inbound

Bayesian In Vivo Tracking of Synapses using Joint Poisson Deconvolution and Diffeomorphic Registration cites this paper.

Bayesian In Vivo Tracking of Synapses using Joint Poisson Deconvolution and Diffeomorphic Registration A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T20:42:57.941684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-14T20:40:38.573075Z digest=sha256:43eda405cae30a2c0f04275c2be496cbc243ae3f8cb555f7091094568a06d9a6