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Paper Citation Record · LEDGER

Block Pruning For Faster Transformers

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:35:56.068793Z

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-24T06:33:48.456209Z digest=sha256:b3bd0f96a52610b7c56cd6960a82b41d76e72f6111166c10608c1b23efb85722

Observation 408abfee-30ab-4672-8aee-f8b06b9e074a · inbound

Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods cites this paper.

Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods Block Pruning For Faster Transformers

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T18:37:26.566424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:37:26.566424Z digest=sha256:77b3adbad7995343e835e4f53b37d83d8039b8cc89640ac6d2e10ef19c4b3bd9

Observation 8298a851-accb-4f4e-9f5e-1621ced4ca06 · inbound

Scalable iterative pruning of large language and vision models using block coordinate descent cites this paper.

Scalable iterative pruning of large language and vision models using block coordinate descent Block Pruning For Faster Transformers

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T12:00:00.044803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:00:00.044803Z digest=sha256:bc50588ece84c5d5e1fe97f33b285789fed9e2a55c015c8b5a3455eabc9ee11f

Observation 4d3bca07-8ad6-457f-9959-00a481216acc · inbound

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective cites this paper.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Block Pruning For Faster Transformers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T11:06:08.960534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:06:08.960534Z digest=sha256:68f5ffe4b54d38d9adc5267ba0de39ec210b0a9d8bb95780a41a104515fbcc85

Observation c354b6f8-641f-409a-b30b-0c17bbe8b3ee · inbound

AdaVid: Adaptive Video-Language Pretraining cites this paper.

AdaVid: Adaptive Video-Language Pretraining Block Pruning For Faster Transformers

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T12:35:56.068793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:56.068793Z digest=sha256:8e128b7b870f02445ffbf675293f5a0fc5d63acace67a0f8d7fbc0e6660b792c

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.

source=pdf_text observed=2026-08-07T12:05:55.629602Z digest=sha256:a63bb15477982161b7d9ce49b5c64eb809b591ae79f0e88d7495bfc6b0dd329a

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.

source=pdf_text observed=2026-08-06T04:36:13.475418Z digest=sha256:533a5f67820b4218ad6555866b7dddff43ebeba1681c44832a6ae07af6cab84e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:12:46.136704Z digest=sha256:4ad3330aefd3d99a0765c92bb00091d648bf4bcdf602b7192bbb146a2ace7a22

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-22T10:09:46.259358Z digest=sha256:9e70b8b295aaca3b4aba75b73563b4e28e143506588777245b0d6778bb630e17

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T07:03:37.388861Z digest=sha256:92d12b8f1185e1f56ae2577e4c524df244967147372998fc2ebae00b101915a7