Paper Citation Record · LEDGER

Cross-Self KV Cache Pruning for Efficient Vision-Language Inference

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.04652.

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

pith.paper-citation-record.v1
2412.04652 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:42:53.683212Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:06:41.773676Z

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 ec33be87-522c-480f-932f-c7ba9307b7fb · 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 Cross-Self KV Cache Pruning for Efficient Vision-Language Inference

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:53.683212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb39f7d6-2400-41b5-b7c5-4700032ddd79 · inbound

AttenA+: Rectifying Action Inequality in Robotic Foundation Models cites this paper.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Cross-Self KV Cache Pruning for Efficient Vision-Language Inference

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:47:37.194417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1c9f1896-f691-40c1-9e1c-95524c93f3bb · inbound

AttenA+: Rectifying Action Inequality in Robotic Foundation Models cites this paper.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Cross-Self KV Cache Pruning for Efficient Vision-Language Inference

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:45:05.712848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1d8a0c17-d536-445c-9354-2d80f1898084 · inbound

KVCapsule: Efficient Sequential KV Cache Compression for Vision-Language Models with Asymmetric Redundancy cites this paper.

KVCapsule: Efficient Sequential KV Cache Compression for Vision-Language Models with Asymmetric Redundancy Cross-Self KV Cache Pruning for Efficient Vision-Language Inference

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:58:59.015181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 065407b3-cb99-4587-9e7b-bcb328bca92c · inbound

Differentiable Efficient Operator Search cites this paper.

Differentiable Efficient Operator Search Cross-Self KV Cache Pruning for Efficient Vision-Language Inference

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:41.775382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.