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Paper Citation Record · LEDGER

Mutual Information Preserving Neural Network Pruning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.00147.

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

pith.paper-citation-record.v1
2411.00147 v2

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 2026-08-15T23:28:02.233478Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fe916578-f469-4f43-9311-ca167b95c30d · inbound

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

Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model Mutual Information Preserving Neural Network Pruning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T23:28:02.233478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:28:02.233478Z digest=sha256:a38f8b33cc2fb2679591e12f382e8fa69f64b76971813e68067490300d0b4f8c

Observation a38d67eb-9073-465d-8488-5ce856e695c6 · inbound

TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination cites this paper.

TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination Mutual Information Preserving Neural Network Pruning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:15:51.861872Z

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=2026-05-18T04:12:46.136704Z digest=sha256:e81ec587450455b084f662ffa957ee1a63fb61792f672bfc2afb1df4774c84f7

Observation 0960cd31-f4af-4677-9235-9bd3f9cb78a6 · inbound

Task Relevance Is Not Local Replaceability: A Two-Axis View of Channel Information cites this paper.

Task Relevance Is Not Local Replaceability: A Two-Axis View of Channel Information Mutual Information Preserving Neural Network Pruning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:25:56.760419Z

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=2026-05-11T01:26:04.372730Z digest=sha256:06c516cc44cdd19b43fc61a322851a31999d7bfc22c75b3625ac25cbd3d39f92

Observation dc5b8a50-5c45-410d-8d78-3883c0010f52 · inbound

Task Relevance Is Not Local Replaceability: A Two-Axis View of Channel Information cites this paper.

Task Relevance Is Not Local Replaceability: A Two-Axis View of Channel Information Mutual Information Preserving Neural Network Pruning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:30:51.323824Z

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=2026-05-11T01:26:04.372730Z digest=sha256:e415ed71081a21bb09c99565c63004de5ace25ef40514c21b518bd1d7909a152

Observation e2ae6b20-9ad0-431f-9143-d36ecef4e156 · inbound

TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability cites this paper.

TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability Mutual Information Preserving Neural Network Pruning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:11:23.163526Z

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=arxiv_source observed=2026-05-22T10:09:46.259358Z digest=sha256:f3ba72da33084d9cc599d244f57b12a03fd5c29563f7e63976a6a2ce68873e9f