Paper Citation Record · LEDGER

Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2502.11501.

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

pith.paper-citation-record.v1
2502.11501 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:42.517303Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:40.278596Z

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 19e41b4e-40f0-450f-bcd8-869d35eab58b · inbound

Towards General Continuous Memory for Vision-Language Models cites this paper.

Towards General Continuous Memory for Vision-Language Models Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:42.517303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2fd1dc9-808b-4d11-be3a-44643dea61ac · inbound

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs cites this paper.

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:20:32.526592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a83887-ed54-4d0b-b283-ee5ffa438ff3 · 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 Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:53.711824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47c54d47-f78f-446e-8beb-358f76c9e1b1 · inbound

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent cites this paper.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:38:44.318646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 516ec196-7465-4611-bb3b-b97e1bab1705 · inbound

DisCEdge: Distributed Context Management for Large Language Models at the Edge cites this paper.

DisCEdge: Distributed Context Management for Large Language Models at the Edge Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:19:00.468091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e205e0cd-ba2e-4345-9dee-10754d966920 · inbound

Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models cites this paper.

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:56:05.671079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ddfd256-2beb-4e46-99e7-3ae0b02d2d52 · inbound

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs cites this paper.

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:04.139640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1860b541-f2f5-47d7-85f9-0677f2028b8c · inbound

EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling cites this paper.

EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.104087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa650f97-d347-4b46-90c9-bc6bdeac4abf · inbound

ST-Prune: Training-Free Spatio-Temporal Token Pruning for Vision-Language Models in Autonomous Driving cites this paper.

ST-Prune: Training-Free Spatio-Temporal Token Pruning for Vision-Language Models in Autonomous Driving Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:46:05.419065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a5d929e3-9f52-43a3-a9b2-05d1577c64ae · inbound

Large Vision-Language Models Get Lost in Attention cites this paper.

Large Vision-Language Models Get Lost in Attention Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.080049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9cc8022e-c01d-4d40-8cbf-3fa1fc91534d · inbound

Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models cites this paper.

Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:23:58.605727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf57bfcd-9552-47b0-94db-80ba461bfc23 · inbound

Keyless Attention: Value-Space Routing and Value-Only Caching for Efficient Transformers cites this paper.

Keyless Attention: Value-Space Routing and Value-Only Caching for Efficient Transformers Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:40.279798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f965618d-3fd9-4fa3-a16b-f526ae8f687d · inbound

MVPruner: Dynamic Token Pruning for Accelerating Multi-view Vision-Language Models in Autonomous Driving cites this paper.

MVPruner: Dynamic Token Pruning for Accelerating Multi-view Vision-Language Models in Autonomous Driving Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:23:51.145423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1e6d415a-bb83-4e9c-8b6a-dbba3bfc937b · inbound

MVPruner: Dynamic Token Pruning for Accelerating Multi-view Vision-Language Models in Autonomous Driving cites this paper.

MVPruner: Dynamic Token Pruning for Accelerating Multi-view Vision-Language Models in Autonomous Driving Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:37:24.214614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f99326ed-04e6-4013-9ff7-d76852e4549d · inbound

C-PTQ: Fisher-weighted Channel-wise Sensitivity for Post-training Quantization of MLLMs cites this paper.

C-PTQ: Fisher-weighted Channel-wise Sensitivity for Post-training Quantization of MLLMs Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 296

Resolution: unresolved; no resolver link, observed 2026-08-01T08:36:21.154823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaf86382-522b-44fd-8584-c050410f15fa · inbound

ORCA: ORgan-Centroid Aggregation for Training-Free 3D CT Visual Token Compression cites this paper.

ORCA: ORgan-Centroid Aggregation for Training-Free 3D CT Visual Token Compression Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 1963

Resolution: unresolved; no resolver link, observed 2026-08-04T00:46:06.737279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.