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Paper Citation Record · LEDGER

MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models

As of 15 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2604.13287.

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

pith.paper-citation-record.v1
2604.13287 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:45:55.173719Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c83ba14-693f-403f-9d0c-dd2d7aa4076b · outbound

This paper cites SPDY: Accurate Pruning with Speedup Guarantees.

MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models SPDY: Accurate Pruning with Speedup Guarantees

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:56:00.701168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:45:55.173719Z digest=sha256:c429d45b15aeb27e162358a2935377ee010d8d6f00cf35767d564b30663e3bb8

Observation af35a5c5-be30-40b9-9fe4-7951b68ccfc3 · outbound

This paper cites The Optimal.

MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models The Optimal

Reference 3

Resolution
metadata mismatch
doi, observed 2026-05-10T15:50:34.272028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:45:55.173719Z digest=sha256:b540ba208abfd5f807839a7e584b293a39d1cbd2bcc582e27ad24b6d3c616a81

Observation d3f76fd3-4797-4933-945e-37027c7ef4bb · outbound

This paper cites Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, and Philip H.

MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, and Philip H

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:52:03.193670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:45:55.173719Z digest=sha256:45b98ddf07216b65d99ceb224c597a7ec16c6699a92711324225830b9985ca39

Observation ee12be2c-676a-4226-9fd9-a7686b08cfe1 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 5

Resolution
metadata mismatch
doi, observed 2026-05-10T15:50:34.270245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:45:55.173719Z digest=sha256:c8fd7c61fd985f0a60f5ddcba4c6c029664155418acdbbb14619f78b7854c2c5

Observation e7e64a83-2545-407f-99cf-88c181a74a1d · outbound

This paper cites URL https:// doi.org/10.18653/v1/p19-1472.

MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models URL https:// doi.org/10.18653/v1/p19-1472

Reference 6

Resolution
metadata mismatch
doi, observed 2026-05-10T15:50:34.274423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:45:55.173719Z digest=sha256:36a4fc39518c0b8d0349cfe1293a717bc81263c965e19fcdda8f3c63d1d07274

Observation b2099818-8f59-4e63-979b-85c0cf421bd0 · outbound

This paper cites For these methods, we report the total pruning time needed to obtain pruned weights for all target sparsities: 0.5, 0.6, 0.7, 0.8, and 0.9.

MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models For these methods, we report the total pruning time needed to obtain pruned weights for all target sparsities: 0.5, 0.6, 0.7, 0.8, and 0.9

Reference 7

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T09:56:00.692435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:45:55.173719Z digest=sha256:dfcd6483bdf5d18597175c1a7c460c83d73b12f12cb5aa91bb9a6b4126a4df5d

Pith citing papers

No inbound Pith citation observations are available.