Paper Citation Record · LEDGER

PPT: Token Pruning and Pooling for Efficient Vision Transformers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.01812.

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

pith.paper-citation-record.v1
2310.01812 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:33:12.123223Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T08:14:45.579834Z

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 26888ff7-48f0-4f2b-a890-68aa6548ffe5 · inbound

Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers cites this paper.

Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T15:33:12.123223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e2e7f0-0d15-4941-a2d5-1f0e6db7e66d · inbound

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration cites this paper.

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:08.280794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 454491c6-ca04-40b8-aad1-4017c74a551d · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 219

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:34.220706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee264910-fc3c-4278-844e-046696587501 · inbound

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models cites this paper.

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:53.717242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 718ac7db-d307-450e-a7d2-bd35898f18f9 · inbound

ToSA: Token Merging with Spatial Awareness cites this paper.

ToSA: Token Merging with Spatial Awareness PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:29.908663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f27f4608-c54d-415f-b3ea-948f73c63830 · inbound

ToFe: Lagged Token Freezing and Reusing for Efficient Vision Transformer Inference cites this paper.

ToFe: Lagged Token Freezing and Reusing for Efficient Vision Transformer Inference PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T15:19:59.104941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1e5c70-e1c2-49ce-a5ac-fa15298f7e2a · inbound

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models cites this paper.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:16.080688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ae24e4-f5f6-4811-b739-849c819348b3 · inbound

Where Do Tokens Go? Understanding Pruning Behaviors in STEP at High Resolutions cites this paper.

Where Do Tokens Go? Understanding Pruning Behaviors in STEP at High Resolutions PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T22:30:43.148885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4b47a9aa-e219-43d3-876d-13a4de100c7b · inbound

MPM: Mutual Pair Merging for Efficient Vision Transformers cites this paper.

MPM: Mutual Pair Merging for Efficient Vision Transformers PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:05:47.985985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f02fa77d-04fe-46d8-849e-0d1bde160adb · inbound

Rethink MAE with Linear Time-Invariant Dynamics cites this paper.

Rethink MAE with Linear Time-Invariant Dynamics PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:21:06.843082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e36410b4-365c-4369-842d-a03bbcfb99d3 · inbound

ASAP: Attention Sink Anchored Pruning cites this paper.

ASAP: Attention Sink Anchored Pruning PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:14:45.582590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2cceec5-58a5-4bc2-95ff-ce047d6a1a9b · inbound

Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective cites this paper.

Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 104

Resolution: unresolved; no resolver link, observed 2026-07-11T23:58:47.097757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.