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Paper Citation Record · LEDGER

WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2004.14340.

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

pith.paper-citation-record.v1
2004.14340 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:04:26.109264Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T07:40:43.964036Z

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 c8be6ffd-eb52-4bad-b0f1-04dbf27f4648 · inbound

Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework cites this paper.

Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T11:20:38.492430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:20:38.492430Z digest=sha256:d5651db21e2edbbdb8f246395d8d7a6a47a0516eb7a515a5c817d15c21d3178f

Observation e6588c58-514a-4404-ba36-2f35cc6ce222 · inbound

HessFormer: Hessians at Foundation Scale cites this paper.

HessFormer: Hessians at Foundation Scale WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:26.109264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.109264Z digest=sha256:a01fb6b7a46ad8715cd361f4dfd81a22f000a515aa71813918b8fcbfc6064f94

Observation 41cc8397-c1ef-4b93-9646-216a1161b522 · inbound

Optimizers Qualitatively Alter Solutions And We Should Leverage This cites this paper.

Optimizers Qualitatively Alter Solutions And We Should Leverage This WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:21.765182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:56:21.765182Z digest=sha256:c80c110de474ff5c2934883663e53be40af0a7ee8a947d554a5ca6ebb0e72328

Observation 8a15eaf0-5142-4b0f-9eb4-21197ea0dd9b · inbound

CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers cites this paper.

CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:40:43.965902Z

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=2026-05-16T07:38:50.252917Z digest=sha256:d5db05fa09fef6b51b7a7f003fc9b2b0017905c220d3191a70d6b041ccf6347e

Observation 2b9f39c4-3c40-42be-951b-b004d4f2c28a · inbound

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask cites this paper.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:08.448610Z

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=2026-05-08T12:46:30.820552Z digest=sha256:db735c3a10574bd19378d86e61595f15f44bb80357639e66b0df1339bbf45ef5