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Paper Citation Record · LEDGER

Bayesian Bits: Unifying Quantization and Pruning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.07093.

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

pith.paper-citation-record.v1
2005.07093 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:33:16.873346Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T05:55:29.583409Z

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 9d34e85c-b8e3-4809-b6f5-2c8cc4fb1007 · inbound

Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models cites this paper.

Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models Bayesian Bits: Unifying Quantization and Pruning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:16.873346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:33:16.873346Z digest=sha256:7e92a3921d61c47ac70d01d6a8e76517d878a073c428413d0d93e4446f8c7dc9

Observation bc0d256d-0b95-4b30-9e3c-28e101dbc682 · inbound

GETA-3DGS: Automatic Joint Structured Pruning and Quantization for 3D Gaussian Splatting cites this paper.

GETA-3DGS: Automatic Joint Structured Pruning and Quantization for 3D Gaussian Splatting Bayesian Bits: Unifying Quantization and Pruning

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:55:29.585273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T19:24:32.034989Z digest=sha256:c0d6952159bd36fb960cf414fe1abc39fc099fc21af062c80f14421f5d9880d5