Paper Citation Record · LEDGER

Block Pruning For Faster Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2109.04838.

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

pith.paper-citation-record.v1
2109.04838 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:05:55.629602Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T06:34:01.071046Z

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 32f26341-dfd6-4549-832a-8fc5f8de38ec · inbound

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs cites this paper.

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs Block Pruning For Faster Transformers

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:34:01.073811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a463de61-59d3-4cae-9f80-caecdbd4c982 · inbound

Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection cites this paper.

Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection Block Pruning For Faster Transformers

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:55.629602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91df55b7-289f-441b-a200-cf31e57d590c · inbound

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion cites this paper.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Block Pruning For Faster Transformers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.475418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8afdcb93-155f-45e4-947b-5e2999e384e3 · inbound

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

TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination Block Pruning For Faster Transformers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:15:51.852931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1ee1882-2748-4067-bd18-bd84138472d7 · inbound

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

TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability Block Pruning For Faster Transformers

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T10:11:23.084291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34fb9909-770a-46c3-94ae-f72f7edd58bd · inbound

Accelerating Vision Foundation Models with Drop-in Depthwise Convolution cites this paper.

Accelerating Vision Foundation Models with Drop-in Depthwise Convolution Block Pruning For Faster Transformers

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T07:04:41.460566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.