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Paper Citation Record · LEDGER

CSI-Net: Unified Human Body Characterization and Pose Recognition

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.03064.

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

pith.paper-citation-record.v1
1810.03064 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:34:45.147454Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:34:45.744038Z

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 c1651161-35ef-43d3-8740-bfc3098efcd9 · inbound

SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks cites this paper.

SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks CSI-Net: Unified Human Body Characterization and Pose Recognition

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:34:45.806549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:34:45.147454Z digest=sha256:5be962231db17fff935b180bca1be0295f725ade66dabbe7fda8a48fccfeb91b

Observation e27e60b2-0f93-402d-aae8-8557c5eeb7bf · inbound

Why Commodity WiFi Sensors Fail at Multi-Person Gait Identification: A Systematic Analysis Using ESP32 cites this paper.

Why Commodity WiFi Sensors Fail at Multi-Person Gait Identification: A Systematic Analysis Using ESP32 CSI-Net: Unified Human Body Characterization and Pose Recognition

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T12:39:37.361704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:39:37.361704Z digest=sha256:c4be830e112cdba615a15fb0fbbbb2c6123c44c94cfb8fb40d3568733cc67ea5