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Paper Citation Record · LEDGER

Towards Good Practices for Very Deep Two-Stream ConvNets

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1507.02159.

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

pith.paper-citation-record.v1
1507.02159 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:44:34.550336Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T10:58:03.378278Z

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 ba836ff6-18cb-4259-9855-ab760da76f67 · inbound

BMN: Boundary-Matching Network for Temporal Action Proposal Generation cites this paper.

BMN: Boundary-Matching Network for Temporal Action Proposal Generation Towards Good Practices for Very Deep Two-Stream ConvNets

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-24T18:04:47.344068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-24T18:01:48.587668Z digest=sha256:696dafa2ee1904187083d7b181d296997e4caa912e3f1da4f57e9d193e825a06

Observation 5323a683-06e0-4bba-ad33-a6615c865bd5 · inbound

Semantically-Aware Diver Activity Recognition Framework for Effective Underwater Multi-Human-Robot Collaboration cites this paper.

Semantically-Aware Diver Activity Recognition Framework for Effective Underwater Multi-Human-Robot Collaboration Towards Good Practices for Very Deep Two-Stream ConvNets

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:58:03.380271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T09:44:34.550336Z digest=sha256:9da8bfa67d7f980922688732ab8068332a8ceab930c9036b3aff7b6620cf7113