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Paper Citation Record · LEDGER

Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2002.04809.

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

pith.paper-citation-record.v1
2002.04809 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:01.594081Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:29:59.502685Z

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 6f5c539e-5852-4314-a5c3-aea85b9ff15b · inbound

Pruning-based Data Selection and Network Fusion for Efficient Deep Learning cites this paper.

Pruning-based Data Selection and Network Fusion for Efficient Deep Learning Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T22:38:01.594081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:01.594081Z digest=sha256:de7dbcb701e5bd8deabfa32b02ed184cb1a42dfee590396267568f0dc60ca9da

Observation b162db12-7f10-4949-8a80-8ccd808f1a45 · inbound

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study cites this paper.

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T13:22:46.791956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:22:46.791956Z digest=sha256:e1cb7001b37b05105628ce6efa63c1de3a1040c5c4a51758e61477300befac48

Observation cf0f5da7-258a-41d0-ae44-2e5585109f1d · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

Reference 291

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:07.972336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-08T12:02:07.027775Z digest=sha256:bbf1b1b5c33cb28252bf5f9957c4dcdfa67ccdd10a6d5295a4594ac08ee2fa84

Observation 705e882b-2383-4a23-a881-93dab735e69c · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

Reference 291

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:29:59.504050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-04T17:29:43.764085Z digest=sha256:6ba81ce32d5e3d51bf8b2d4b6c80439f8b867d95907355d207c8a947245f0a3b

Observation 34bfc0b1-00ac-4e4f-88d9-dab89a5671d5 · inbound

Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency cites this paper.

Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:56:13.485878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T03:47:38.100037Z digest=sha256:4856c2748081780365a4662ab9e07d090d3594aad10a87a8c8aa5a78337c41d3

Observation 701a7188-af11-4956-8de0-4c11c2cfce40 · inbound

Post-Training Pruning for Diffusion Transformers cites this paper.

Post-Training Pruning for Diffusion Transformers Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:56:59.089179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:54:02.092771Z digest=sha256:78c128adca1746a501aca75b6f7a8bb0824d4b393fefbae5546af9f1d72867d6

Observation 79f775a4-f1ff-4a5b-b75f-54dd467f368e · inbound

Post-Training Pruning for Diffusion Transformers cites this paper.

Post-Training Pruning for Diffusion Transformers Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-12T09:09:54.360897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T09:09:54.360897Z digest=sha256:3b6185d65dbb79d2ceeddf87253702f4ddfe9d018867496323c92f261e3f0885