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Paper Citation Record · LEDGER

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.17599.

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

pith.paper-citation-record.v1
2502.17599 v2

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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:11:49.336299Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:27:24.343949Z

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 01b401a0-3b64-4932-b7b4-3bb70da4ed86 · inbound

Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models cites this paper.

Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:31:16.240776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:50:26.044591Z digest=sha256:6e24048f1ffddbd8cb0505c778120614c9f2c309e6021f7013ea68e664dd081f

Observation 3d177166-7cb7-4890-8c7b-befdf78c9d49 · inbound

RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction cites this paper.

RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:26:02.108783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T15:29:17.567557Z digest=sha256:4150c047791373483c76a2ffe0ccd62fa7d1979d172bafb6beef84aa510f5c29

Observation 8d4df5aa-921c-45b6-8a7e-2d4d6e7d8870 · inbound

Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction cites this paper.

Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:41:26.648505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T05:02:25.513351Z digest=sha256:fa95eacfe55a73c229b94b8d79fc5c88aaeba7810b363a922369d1a6bad1d753

Observation eda43d95-53d7-42b9-8538-44095a91059c · inbound

HACK++: Towards More Effective Head-Aware Key-Value Compression for Efficient Visual Autoregressive Modeling cites this paper.

HACK++: Towards More Effective Head-Aware Key-Value Compression for Efficient Visual Autoregressive Modeling MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:27:24.345383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T19:46:43.514413Z digest=sha256:4df554542f175608f17f6e58663c933d143e3be82962d17483835a06b22fd1b6

Observation 3118e16f-4a3a-498a-91ee-e39d8503b6e9 · inbound

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-04T13:44:00.466424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:44:00.466424Z digest=sha256:a64e5261001545a60c4849060765ff4efdf63e164c5d65a55da4631452ec6426

Observation 484f519a-7487-47c1-b499-97ae32fc4982 · inbound

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-07T00:11:49.336299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:11:49.336299Z digest=sha256:5fede9b4fce3ec92766f69f44d83f240afb1b643632a4c2cb899ca02742a51a3