Paper Citation Record · LEDGER

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator

As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.00797.

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

pith.paper-citation-record.v1
2507.00797 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:15:08.413962Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy9
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82e96aaf-b95a-4a4a-92a5-11c2a30b477d · outbound

This paper cites GPT-4 Technical Report.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:07.849464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b6c78e-1280-462d-a626-1b509ed01e59 · outbound

This paper cites Keyformer: Kv cache reduction through key tokens selection for efficient generative inference,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Keyformer: Kv cache reduction through key tokens selection for efficient generative inference,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:09.326845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f0a9f903-772b-4d81-ba86-1f5b0b72b145 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Flashattention: Fast and memory-efficient exact attention with io-awareness,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:09.260429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f6b3c51-5858-4aa2-aa87-8a6e3bdecb84 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:07.905855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af994ca5-914f-436a-ba39-997971429553 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:07.925788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a266e578-3faf-4682-8594-a64aaca11cd0 · outbound

This paper cites Aˆ 3: Accelerating attention mechanisms in neural networks with approximation,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Aˆ 3: Accelerating attention mechanisms in neural networks with approximation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:07.936932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bce1e27a-5595-499d-b96d-16313904e1ae · outbound

This paper cites Ramulator: A fast and extensible dram simulator,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Ramulator: A fast and extensible dram simulator,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:09.122654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c13cd7a9-0e80-45d4-a83b-1f4ead0f21e0 · outbound

This paper cites Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:09.045540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8c532b4d-d698-4c75-91b7-32fba6c84da2 · outbound

This paper cites Sanger: A co-design framework for enabling sparse attention using reconfigurable architecture,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Sanger: A co-design framework for enabling sparse attention using reconfigurable architecture,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:08.952344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17c0dbb8-0ca1-4db4-ac07-30d9a18fb3bc · outbound

This paper cites Online normalizer calculation for softmax.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Online normalizer calculation for softmax

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.020611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2727282a-607f-4d4a-ad12-ec698b5a3a26 · outbound

This paper cites Cacti 6.0: A tool to model large caches,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Cacti 6.0: A tool to model large caches,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:08.845873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfb3fef2-0844-4581-9a1c-100168a196e5 · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Compressive Transformers for Long-Range Sequence Modelling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.085353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4613ce40-fd13-4dfe-b3a6-1785a1e4d68f · outbound

This paper cites Deepscaletool: A tool for the accurate esti- mation of technology scaling in the deep-submicron era,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Deepscaletool: A tool for the accurate esti- mation of technology scaling in the deep-submicron era,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:08.788210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 695b8885-89e2-48f5-ae99-a1b45604d5f1 · outbound

This paper cites Softermax: Hardware/software co-design of an efficient softmax for transformers,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Softermax: Hardware/software co-design of an efficient softmax for transformers,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.166263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39010cac-1c04-4604-bd31-4cd13cf2be2a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.202870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06dcc06d-a9e5-492e-b322-38fc81ecfe8a · outbound

This paper cites Spatten: Efficient sparse attention architecture with cascade token and head pruning,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Spatten: Efficient sparse attention architecture with cascade token and head pruning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.237183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77954335-5988-4f1b-bf7e-71adab422002 · outbound

This paper cites Cosa: Co-operative systolic arrays for multi-head attention mechanism in neural network using hybrid data reuse and fusion methodologies,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Cosa: Co-operative systolic arrays for multi-head attention mechanism in neural network using hybrid data reuse and fusion methodologies,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:08.695573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f659055-ae9e-4c17-9b50-cecc7f8b9193 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Efficient Streaming Language Models with Attention Sinks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.309519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a12d836-3440-47af-b3b7-859070fee557 · outbound

This paper cites Orca: A distributed serving system for {Transformer-Based} generative models,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator Orca: A distributed serving system for {Transformer-Based} generative models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:08.638398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e5f3e1d-e7ca-41e7-b216-ccac6a4f76db · outbound

This paper cites NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.374201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d67cf50-a008-43ef-8f0b-22996fae256b · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models,.

VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator H2o: Heavy-hitter oracle for efficient generative inference of large language models,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.413962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.