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Paper Citation Record · LEDGER

An Effective Information Theoretic Framework for Channel Pruning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.16772.

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

pith.paper-citation-record.v1
2408.16772 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:28:02.067796Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:39:10.209823Z

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 762bec37-1efa-4c18-b0e4-59ac1260c066 · inbound

Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model cites this paper.

Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model An Effective Information Theoretic Framework for Channel Pruning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T23:28:02.067796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:28:02.067796Z digest=sha256:0a316753984551ce182392a3f54a5d4ae4ec2f51e7af918e5b350c2cef802911

Observation f1c2ce55-901a-4a12-b019-ff16fc9ee94b · inbound

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition cites this paper.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition An Effective Information Theoretic Framework for Channel Pruning

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:39:10.294440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:38:59.198501Z digest=sha256:542283690a439630fed087254131a3ef9160da09497ab421e1337940d508cdd7